24.4.13.12 Mangrove Analysis, Swamps, Coasts, Trees

Chapter Contents (Back)
Mangroves. Forest. Mangrove decline is an indicator of the erosion of the coast line.
See also Wetlands, Wetland Detection, Analysis.

Simard, M.[Marc], Zhang, K.Q.[Ke-Qi], Rivera-Monroy, V.H.[Victor H.], Ross, M.S.[Michael S.], Ruiz, P.L.[Pablo L.], Castañeda-Moya, E.[Edward], Twilley, R.R.[Robert R.], Rodriguez, E.[Ernesto],
Mapping Height and Biomass of Mangrove Forests in the Everglades National Park with SRTM Elevation Data,
PhEngRS(72), No. 3, March 2006, pp. 299-312.
WWW Link. 0610
Production of a landscape scale map of mean tree height using SRTM data, and deriving height and biomass relationships based on field data. BibRef

Vaiphasa, C.[Chaichoke], Skidmore, A.K.[Andrew K.], de Boer, W.F.[Willem F.],
A post-classifier for mangrove mapping using ecological data,
PandRS(61), No. 1, October 2006, pp. 1-10.
Elsevier DOI 0610
expert system; multispectral; remote sensing; vegetation BibRef

Conchedda, G.[Giulia], Durieux, L.[Laurent], Mayaux, P.[Philippe],
An object-based method for mapping and change analysis in mangrove ecosystems,
PandRS(63), No. 5, September 2008, pp. 578-589.
Elsevier DOI 0804
Mangrove mapping; Object-based methods; Land cover classification; Change detection BibRef

Yang, C.H.[Cheng-Hai], Everitt, J.H.[James H.], Fletcher, R.S.[Reginald S.], Jensen, R.R.[Ryan R.], Mausel, P.W.[Paul W.],
Evaluating AISA+ Hyperspectral Imagery for Mapping Black Mangrove along the South Texas Gulf Coast,
PhEngRS(75), No. 4, April 2009, pp. 425-436.
WWW Link. 0903
Airborne hyperspectral imagery combined with image transformation and classification techniques can be a useful tool for monitoring and mapping black mangrove distributions in coastal environments. BibRef

Kuenzer, C.[Claudia], Bluemel, A.[Andrea], Gebhardt, S.[Steffen], Quoc, T.V.[Tuan Vo], Dech, S.[Stefan],
Remote Sensing of Mangrove Ecosystems: A Review,
RS(3), No. 5, May 2011, pp. 878-928.
DOI Link 1203
Award, Remote Sensing, Review. 2015. BibRef

Alatorre, L., Sánchez-Andrés, R., Cirujano, S., Beguería, S., Sánchez-Carrillo, S.,
Identification of Mangrove Areas by Remote Sensing: The ROC Curve Technique Applied to the Northwestern Mexico Coastal Zone Using Landsat Imagery,
RS(3), No. 8, August 2011, pp. 1568-1583.
DOI Link 1203
BibRef

Kamal, M., Phinn, S.R.,
Hyperspectral Data for Mangrove Species Mapping: A Comparison of Pixel-Based and Object-Based Approach,
RS(3), No. 10, October 2011, pp. 2222-2242.
DOI Link 1203
BibRef

Heumann, B.,
An Object-Based Classification of Mangroves Using a Hybrid Decision Tree: Support Vector Machine Approach,
RS(3), No. 11, November 2011, pp. 2440-2460.
DOI Link 1203
BibRef

Vo, Q., Oppelt, N., Leinenkugel, P., Kuenzer, C.,
Remote Sensing in Mapping Mangrove Ecosystems: An Object-Based Approach,
RS(5), No. 1, January 2013, pp. 183-201.
DOI Link 1302
BibRef

Zhang, C., Kovacs, J., Wachowiak, M., Flores-Verdugo, F.,
Relationship between Hyperspectral Measurements and Mangrove Leaf Nitrogen Concentrations,
RS(5), No. 2, February 2013, pp. 891-908.
DOI Link 1303
BibRef

Koedsin, W.[Werapong], Vaiphasa, C.[Chaichoke],
Discrimination of Tropical Mangroves at the Species Level with EO-1 Hyperion Data,
RS(5), No. 7, 2013, pp. 3562-3582.
DOI Link 1308
BibRef

Kovacs, J.M., Lu, X.X., Flores-Verdugo, F., Zhang, C., Flores de Santiago, F., Jiao, X.,
Applications of ALOS PALSAR for monitoring biophysical parameters of a degraded black mangrove (Avicennia germinans) forest,
PandRS(82), No. 1, August 2013, pp. 102-111.
Elsevier DOI 1306
Biophysical parameters; Degraded mangrove; PALSAR; SAR backscatter; SAR texture BibRef

Wannasiri, W., Nagai, M., Honda, K., Santitamnont, P., Miphokasap, P.,
Extraction of Mangrove Biophysical Parameters Using Airborne-LiDAR,
RS(5), No. 4, April 2013, pp. 1787-1808.
DOI Link 1305
BibRef

Chen, C.F.[Chi-Farn], Son, N.T.[Nguyen-Thanh], Chang, N.B.[Ni-Bin], Chen, C.R.[Cheng-Ru], Chang, L.Y.[Li-Yu], Valdez, M.[Miguel], Centeno, G.[Gustavo], Thompson, C.A.[Carlos Alberto], Aceituno, J.L.[Jorge Luis],
Multi-Decadal Mangrove Forest Change Detection and Prediction in Honduras, Central America, with Landsat Imagery and a Markov Chain Model,
RS(5), No. 12, 2013, pp. 6408-6426.
DOI Link 1402
BibRef

Kamal, M.[Muhammad], Phinn, S.[Stuart], Johansen, K.[Kasper],
Characterizing the Spatial Structure of Mangrove Features for Optimizing Image-Based Mangrove Mapping,
RS(6), No. 2, 2014, pp. 984-1006.
DOI Link 1403
BibRef

Kamal, M.[Muhammad], Phinn, S.[Stuart], Johansen, K.[Kasper],
Object-Based Approach for Multi-Scale Mangrove Composition Mapping Using Multi-Resolution Image Datasets,
RS(7), No. 4, 2015, pp. 4753-4783.
DOI Link 1505
BibRef

Heenkenda, M.K.[Muditha K.], Joyce, K.E.[Karen E.], Maier, S.W.[Stefan W.], Bartolo, R.[Renee],
Mangrove Species Identification: Comparing WorldView-2 with Aerial Photographs,
RS(6), No. 7, 2014, pp. 6064-6088.
DOI Link 1408
BibRef

Zhang, C.H.[Chun-Hua], Kovacs, J.M.[John M.], Liu, Y.[Yali], Flores-Verdugo, F.[Francisco], Flores-de-Santiago, F.[Francisco],
Separating Mangrove Species and Conditions Using Laboratory Hyperspectral Data: A Case Study of a Degraded Mangrove Forest of the Mexican Pacific,
RS(6), No. 12, 2014, pp. 11673-11688.
DOI Link 1412
BibRef

Kanniah, K.D.[Kasturi Devi], Sheikhi, A.[Afsaneh], Cracknell, A.P.[Arthur P.], Goh, H.C.[Hong Ching], Tan, K.P.[Kian Pang], Ho, C.S.[Chin Siong], Rasli, F.N.[Fateen Nabilla],
Satellite Images for Monitoring Mangrove Cover Changes in a Fast Growing Economic Region in Southern Peninsular Malaysia,
RS(7), No. 11, 2015, pp. 14360.
DOI Link 1512
BibRef

Shapiro, A.C.[Aurélie C.], Trettin, C.C.[Carl C.], Küchly, H.[Helga], Alavinapanah, S.[Sadroddin], Bandeira, S.[Salomão],
The Mangroves of the Zambezi Delta: Increase in Extent Observed via Satellite from 1994 to 2013,
RS(7), No. 12, 2015, pp. 15838.
DOI Link 1601
BibRef

Cougo, M.F.[Michele F.], Souza-Filho, P.W.M.[Pedro W.M.], Silva, A.Q.[Arnaldo Q.], Fernandes, M.E.B.[Marcus E.B.], dos Santos, J.R.[João R.], Abreu, M.R.S.[Maria R.S.], Nascimento, W.R.[Wilson R.], Simard, M.[Marc],
Radarsat-2 Backscattering for the Modeling of Biophysical Parameters of Regenerating Mangrove Forests,
RS(7), No. 12, 2015, pp. 15873.
DOI Link 1601
BibRef

Heenkenda, M.K.[Muditha K.], Joyce, K.E.[Karen E.], Maier, S.W.[Stefan W.], de Bruin, S.[Sytze],
Quantifying mangrove chlorophyll from high spatial resolution imagery,
PandRS(108), No. 1, 2015, pp. 234-244.
Elsevier DOI 1511
Mangrove BibRef

Pastor-Guzman, J.[Julio], Atkinson, P.M.[Peter M.], Dash, J.[Jadunandan], Rioja-Nieto, R.[Rodolfo],
Spatiotemporal Variation in Mangrove Chlorophyll Concentration Using Landsat 8,
RS(7), No. 11, 2015, pp. 14530.
DOI Link 1512
BibRef

Zhu, Y.H.[Yuan-Hui], Liu, K.[Kai], Liu, L.[Lin], Wang, S.G.[Shu-Gong], Liu, H.X.[Hong-Xing],
Retrieval of Mangrove Aboveground Biomass at the Individual Species Level with WorldView-2 Images,
RS(7), No. 9, 2015, pp. 12192.
DOI Link 1511
BibRef

Giardino, C.[Claudia], Bresciani, M.[Mariano], Fava, F.[Francesco], Matta, E.[Erica], Brando, V.E.[Vittorio E.], Colombo, R.[Roberto],
Mapping Submerged Habitats and Mangroves of Lampi Island Marine National Park (Myanmar) from in Situ and Satellite Observations,
RS(8), No. 1, 2016, pp. 2.
DOI Link 1602
BibRef

Wang, T.[Ting], Zhang, H.S.[Hong-Sheng], Lin, H.[Hui], Fang, C.Y.[Chao-Yang],
Textural-Spectral Feature-Based Species Classification of Mangroves in Mai Po Nature Reserve from Worldview-3 Imagery,
RS(8), No. 1, 2016, pp. 24.
DOI Link 1602
BibRef

Brown, I.[Ian], Mwansasu, S.[Simon], Westerberg, L.O.[Lars-Ove],
L-Band Polarimetric Target Decomposition of Mangroves of the Rufiji Delta, Tanzania,
RS(8), No. 2, 2016, pp. 140.
DOI Link 1603
BibRef

Jones, T.G.[Trevor G.], Glass, L.[Leah], Gandhi, S.[Samir], Ravaoarinorotsihoarana, L.[Lalao], Carro, A.[Aude], Benson, L.[Lisa], Ratsimba, H.R.[Harifidy Rakoto], Giri, C.[Chandra], Randriamanatena, D.[Dannick], Cripps, G.[Garth],
Madagascar's Mangroves: Quantifying Nation-Wide and Ecosystem Specific Dynamics, and Detailed Contemporary Mapping of Distinct Ecosystems,
RS(8), No. 2, 2016, pp. 106.
DOI Link 1603
BibRef

Flores-de-Santiago, F.[Francisco], Kovacs, J.M.[John M.], Wang, J.F.[Jin-Fei], Flores-Verdugo, F.[Francisco], Zhang, C.H.[Chun-Hua], González-Farías, F.[Fernando],
Examining the Influence of Seasonality, Condition, and Species Composition on Mangrove Leaf Pigment Contents and Laboratory Based Spectroscopy Data,
RS(8), No. 3, 2016, pp. 226.
DOI Link 1604
BibRef

Lagomasino, D.[David], Fatoyinbo, T.[Temilola], Lee, S.[SeungKuk], Feliciano, E.[Emanuelle], Trettin, C.[Carl], Simard, M.[Marc],
A Comparison of Mangrove Canopy Height Using Multiple Independent Measurements from Land, Air, and Space,
RS(8), No. 4, 2016, pp. 327.
DOI Link 1604
BibRef

Ximenes, A.C.[Arimatéa C.], Maeda, E.E.[Eduardo Eiji], Arcoverde, G.F.B.[Gustavo Felipe Balué], Dahdouh-Guebas, F.[Farid],
Spatial Assessment of the Bioclimatic and Environmental Factors Driving Mangrove Tree Species' Distribution along the Brazilian Coastline,
RS(8), No. 6, 2016, pp. 451.
DOI Link 1608
BibRef

Otero, V.[Viviana], Quisthoudt, K.[Katrien], Koedam, N.[Nico], Dahdouh-Guebas, F.[Farid],
Mangroves at Their Limits: Detection and Area Estimation of Mangroves along the Sahara Desert Coast,
RS(8), No. 6, 2016, pp. 512.
DOI Link 1608
BibRef

Jia, M.M.[Ming-Ming], Liu, M.Y.[Ming-Yue], Wang, Z.M.[Zong-Ming], Mao, D.H.[De-Hua], Ren, C.Y.[Chun-Ying], Cui, H.[Haishan],
Evaluating the Effectiveness of Conservation on Mangroves: A Remote Sensing-Based Comparison for Two Adjacent Protected Areas in Shenzhen and Hong Kong, China,
RS(8), No. 8, 2016, pp. 627.
DOI Link 1609
BibRef

Giri, C.[Chandra],
Observation and Monitoring of Mangrove Forests Using Remote Sensing: Opportunities and Challenges,
RS(8), No. 9, 2016, pp. 783.
DOI Link 1610
BibRef

Pham, L.T.H.[Lien T.H.], Brabyn, L.[Lars],
Monitoring mangrove biomass change in Vietnam using SPOT images and an object-based approach combined with machine learning algorithms,
PandRS(128), No. 1, 2017, pp. 86-97.
Elsevier DOI 1706
Mangrove BibRef

Luo, Y.M.[Yan-Min], Ouyang, Y.[Yi], Zhang, R.C.[Ren-Cheng], Feng, H.M.[Hsuan-Ming],
Multi-Feature Joint Sparse Model for the Classification of Mangrove Remote Sensing Images,
IJGI(6), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Feliciano, E.A.[Emanuelle A.], Wdowinski, S.[Shimon], Potts, M.D.[Matthew D.], Lee, S.K.[Seung-Kuk], Fatoyinbo, T.E.[Temilola E.],
Estimating Mangrove Canopy Height and Above-Ground Biomass in the Everglades National Park with Airborne LiDAR and TanDEM-X Data,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Chen, B.Q.[Bang-Qian], Xiao, X.M.[Xiang-Ming], Li, X.P.[Xiang-Ping], Pan, L.H.[Liang-Hao], Doughty, R.[Russell], Ma, J.[Jun], Dong, J.W.[Jin-Wei], Qin, Y.W.[Yuan-Wei], Zhao, B.[Bin], Wu, Z.X.[Zhi-Xiang], Sun, R.[Rui], Lan, G.Y.[Guo-Yu], Xie, G.S.[Gui-Shui], Clinton, N.[Nicholas], Giri, C.[Chandra],
A mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform,
PandRS(131), No. 1, 2017, pp. 104-120.
Elsevier DOI 1709
ETM+/OLI BibRef

Zhu, Y.H.[Yuan-Hui], Liu, K.[Kai], Liu, L.[Lin], Myint, S.W.[Soe W.], Wang, S.G.[Shu-Gong], Liu, H.X.[Hong-Xing], He, Z.[Zhi],
Exploring the Potential of WorldView-2 Red-Edge Band-Based Vegetation Indices for Estimation of Mangrove Leaf Area Index with Machine Learning Algorithms,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
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Castillo, J.A.A.[Jose Alan A.], Apan, A.A.[Armando A.], Maraseni, T.N.[Tek N.], Salmo, S.G.[Severino G.],
Estimation and mapping of above-ground biomass of mangrove forests and their replacement land uses in the Philippines using Sentinel imagery,
PandRS(134), No. Supplement C, 2017, pp. 70-85.
Elsevier DOI 1712
Sentinel imagery, Biomass, Mangrove, Philippines, Biomass mapping, Land use change BibRef

Cao, J.J.[Jing-Jing], Leng, W.C.[Wan-Chun], Liu, K.[Kai], Liu, L.[Lin], He, Z.[Zhi], Zhu, Y.[Yuanhui],
Object-Based Mangrove Species Classification Using Unmanned Aerial Vehicle Hyperspectral Images and Digital Surface Models,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
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Wang, D.Z.[De-Zhi], Wan, B.[Bo], Qiu, P.H.[Peng-Hua], Su, Y.J.[Yan-Jun], Guo, Q.H.[Qing-Hua], Wu, X.C.[Xin-Cai],
Artificial Mangrove Species Mapping Using Pléiades-1: An Evaluation of Pixel-Based and Object-Based Classifications with Selected Machine Learning Algorithms,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
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Wicaksono, P.[Pramaditya], Hafizt, M.[Muhammad],
Dark target effectiveness for dark-object subtraction atmospheric correction method on mangrove above-ground carbon stock mapping,
IET-IPR(12), No. 4, April 2018, pp. 582-587.
DOI Link 1804
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Zhang, H.S.[Hong-Sheng], Wang, T.[Ting], Liu, M.F.[Ming-Feng], Jia, M.M.[Ming-Ming], Lin, H.[Hui], Chu, L.[LM], Devlin, A.T.[Adam Thomas],
Potential of Combining Optical and Dual Polarimetric SAR Data for Improving Mangrove Species Discrimination Using Rotation Forest,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
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de Souza Pereira, F.R.[Francisca Rocha], Kampel, M.[Milton], Soares, M.L.G.[Mário Luiz Gomes], Estrada, G.C.D.[Gustavo Calderucio Duque], Bentz, C.[Cristina], Vincent, G.[Gregoire],
Reducing Uncertainty in Mapping of Mangrove Aboveground Biomass Using Airborne Discrete Return Lidar Data,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
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Xia, Q.[Qing], Qin, C.Z.[Cheng-Zhi], Li, H.[He], Huang, C.[Chong], Su, F.Z.[Fen-Zhen],
Mapping Mangrove Forests Based on Multi-Tidal High-Resolution Satellite Imagery,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
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Thomas, N.[Nathan], Bunting, P.[Peter], Lucas, R.[Richard], Hardy, A.[Andy], Rosenqvist, A.[Ake], Fatoyinbo, T.[Temilola],
Mapping Mangrove Extent and Change: A Globally Applicable Approach,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
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Wang, D.Z.[De-Zhi], Wan, B.[Bo], Qiu, P.H.[Peng-Hua], Su, Y.J.[Yan-Jun], Guo, Q.H.[Qing-Hua], Wang, R.[Run], Sun, F.[Fei], Wu, X.C.[Xin-Cai],
Evaluating the Performance of Sentinel-2, Landsat 8 and Pléiades-1 in Mapping Mangrove Extent and Species,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
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Bunting, P.[Pete], Rosenqvist, A.[Ake], Lucas, R.M.[Richard M.], Rebelo, L.M.[Lisa-Maria], Hilarides, L.[Lammert], Thomas, N.[Nathan], Hardy, A.[Andy], Itoh, T.[Takuya], Shimada, M.[Masanobu], Finlayson, C.M.[C. Max],
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Bunting, P.[Pete], Rosenqvist, A.[Ake], Hilarides, L.[Lammert], Lucas, R.M.[Richard M.], Thomas, N.[Nathan],
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Does Sea Surface Temperature Contribute to Determining Range Limits and Expansion of Mangroves in Eastern South America (Brazil)?,
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Wang, D.Z.[De-Zhi], Wan, B.[Bo], Qiu, P.H.[Peng-Hua], Zuo, Z.[Zejun], Wang, R.[Run], Wu, X.C.[Xin-Cai],
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Li, Q.[Qiaosi], Wong, F.K.K.[Frankie Kwan Kit], Fung, T.[Tung],
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Coastal Mangrove Response to Marine Erosion: Evaluating the Impacts of Spatial Distribution and Vegetation Growth in Bangkok Bay from 1987 to 2017,
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DOI Link 2001
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Anand, A.[Akash], Pandey, P.C.[Prem Chandra], Petropoulos, G.P.[George P.], Pavlides, A.[Andrew], Srivastava, P.K.[Prashant K.], Sharma, J.K.[Jyoti K.], Malhi, R.K.M.[Ramandeep Kaur M.],
Use of Hyperion for Mangrove Forest Carbon Stock Assessment in Bhitarkanika Forest Reserve: A Contribution Towards Blue Carbon Initiative,
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Wan, L.[Luoma], Lin, Y.[Yinyi], Zhang, H.S.[Hong-Sheng], Wang, F.[Feng], Liu, M.F.[Ming-Feng], Lin, H.[Hui],
GF-5 Hyperspectral Data for Species Mapping of Mangrove in Mai Po, Hong Kong,
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Hu, T.Y.[Tian-Yu], Zhang, Y.Y.[Ying-Ying], Su, Y.J.[Yan-Jun], Zheng, Y.[Yi], Lin, G.H.[Guang-Hui], Guo, Q.H.[Qing-Hua],
Mapping the Global Mangrove Forest Aboveground Biomass Using Multisource Remote Sensing Data,
RS(12), No. 10, 2020, pp. xx-yy.
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Zhu, Y.H.[Yuan-Hui], Liu, K.[Kai], Myint, S.W.[Soe W.], Du, Z.Y.[Zhen-Yu], Li, Y.B.[Yu-Bin], Cao, J.J.[Jing-Jing], Liu, L.[Lin], Wu, Z.F.[Zhi-Feng],
Integration of GF2 Optical, GF3 SAR, and UAV Data for Estimating Aboveground Biomass of China's Largest Artificially Planted Mangroves,
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Silván-Cárdenas, J.L.[José L.], Gallardo-Cruz, J.A.[José A.], Hernández-Huerta, L.M.[Laura M.],
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Baloloy, A.B.[Alvin B.], Blanco, A.C.[Ariel C.], Santa Ana, R.R.C.[Raymund Rhommel C.], Nadaoka, K.[Kazuo],
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Elsevier DOI 2007
Mangrove index, Mangrove extent, Sentinel-2, Landsat, Vegetation mapping, Philippines BibRef

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Rapid Mangrove Forest Loss and Nipa Palm (Nypa fruticans) Expansion in the Niger Delta, 2007-2017,
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Quang, N.H.[Nguyen Hong], Quinn, C.H.[Claire H.], Stringer, L.C.[Lindsay C.], Carrie, R.[Rachael], Hackney, C.R.[Christopher R.], Van Hue, L.T.[Le Thi], Van Tan, D.[Dao], Nga, P.T.T.[Pham Thi Thanh],
Multi-Decadal Changes in Mangrove Extent, Age and Species in the Red River Estuaries of Viet Nam,
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Sakti, A.D.[Anjar Dimara], Fauzi, A.I.[Adam Irwansyah], Wilwatikta, F.N.[Felia Niwan], Rajagukguk, Y.S.[Yoki Sepwanto], Sudhana, S.A.[Sonny Adhitya], Yayusman, L.F.[Lissa Fajri], Syahid, L.N.[Luri Nurlaila], Sritarapipat, T.[Tanakorn], Principe, J.A.[Jeark A.], Trang, N.T.Q.[Nguyen Thi Quynh], Sulistyawati, E.[Endah], Utami, I.[Inggita], Arief, C.W.[Candra Wirawan], Wikantika, K.[Ketut],
Multi-Source Remote Sensing Data Product Analysis: Investigating Anthropogenic and Naturogenic Impacts on Mangroves in Southeast Asia,
RS(12), No. 17, 2020, pp. xx-yy.
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Toosi, N.B.[Neda Bihamta], Soffianian, A.R.[Ali Reza], Fakheran, S.[Sima], Pourmanafi, S.[Saeied], Ginzler, C.[Christian], Waser, L.T.[Lars T.],
Land Cover Classification in Mangrove Ecosystems Based on VHR Satellite Data and Machine Learning: An Upscaling Approach,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
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Zheng, Y.H.[Yu-Han], Takeuchi, W.[Wataru],
Quantitative Assessment and Driving Force Analysis of Mangrove Forest Changes in China from 1985 to 2018 by Integrating Optical and Radar Imagery,
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Hu, L.J.[Luo-Jia], Xu, N.[Nan], Liang, J.[Jian], Li, Z.C.[Zhi-Chao], Chen, L.Z.[Lu-Zhen], Zhao, F.[Feng],
Advancing the Mapping of Mangrove Forests at National-Scale Using Sentinel-1 and Sentinel-2 Time-Series Data with Google Earth Engine: A Case Study in China,
RS(12), No. 19, 2020, pp. xx-yy.
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Zhao, C.P.[Chuan-Peng], Qin, C.Z.[Cheng-Zhi],
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Elsevier DOI 2011
Mangrove map, Sentinel, River salinity, Time series image analysis, Google Earth Engine BibRef

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Land Cover Dynamics and Mangrove Degradation in the Niger Delta Region,
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Hauser, L.T.[Leon T.], Binh, N.A.[Nguyen An], Hoa, P.V.[Pham Viet], Quan, N.H.[Nguyen Hong], Timmermans, J.[Joris],
Gap-Free Monitoring of Annual Mangrove Forest Dynamics in Ca Mau Province, Vietnamese Mekong Delta, Using the Landsat-7-8 Archives and Post-Classification Temporal Optimization,
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Syahid, L.N.[Luri Nurlaila], Sakti, A.D.[Anjar Dimara], Virtriana, R.[Riantini], Wikantika, K.[Ketut], Windupranata, W.[Wiwin], Tsuyuki, S.[Satoshi], Caraka, R.E.[Rezzy Eko], Pribadi, R.[Rudhi],
Determining Optimal Location for Mangrove Planting Using Remote Sensing and Climate Model Projection in Southeast Asia,
RS(12), No. 22, 2020, pp. xx-yy.
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Yancho, J.M.M.[J. Maxwell M.], Jones, T.G.[Trevor Gareth], Gandhi, S.R.[Samir R.], Ferster, C.[Colin], Lin, A.[Alice], Glass, L.[Leah],
The Google Earth Engine Mangrove Mapping Methodology (GEEMMM),
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
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Hsu, A.J.[Astrid J.], Kumagai, J.[Joy], Favoretto, F.[Fabio], Dorian, J.[John], Martinez, B.G.[Benigno Guerrero], Aburto-Oropeza, O.[Octavio],
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RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
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Younes, N.[Nicolas], Northfield, T.D.[Tobin D.], Joyce, K.E.[Karen E.], Maier, S.W.[Stefan W.], Duke, N.C.[Norman C.], Lymburner, L.[Leo],
A Novel Approach to Modelling Mangrove Phenology from Satellite Images: A Case Study from Northern Australia,
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Maung, W.S.[Win Sithu], Sasaki, J.[Jun],
Assessing the Natural Recovery of Mangroves after Human Disturbance Using Neural Network Classification and Sentinel-2 Imagery in Wunbaik Mangrove Forest, Myanmar,
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Songsom, V.[Veeranun], Koedsin, W.[Werapong], Ritchie, R.J.[Raymond J.], Huete, A.[Alfredo],
Mangrove Phenology and Water Influences Measured with Digital Repeat Photography,
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Guo, Y.J.[Yu-Juan], Liao, J.J.[Jing-Juan], Shen, G.Z.[Guo-Zhuang],
Mapping Large-Scale Mangroves along the Maritime Silk Road from 1990 to 2015 Using a Novel Deep Learning Model and Landsat Data,
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Zhang, T.[Tao], Hu, S.S.[Shan-Shan], He, Y.[Yun], You, S.C.[Shu-Cheng], Yang, X.M.[Xiao-Mei], Gan, Y.H.[Yu-Hang], Liu, A.[Aixia],
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Recent Advancement in Mangrove Forests Mapping and Monitoring of the World Using Earth Observation Satellite Data,
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Eleven Years of Mangrove-Mudflat Dynamics on the Mud Volcano-Induced Prograding Delta in East Java, Indonesia: Integrating UAV and Satellite Imagery,
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Guo, M.Q.[Ming-Qiang], Yu, Z.Y.[Zhong-Yang], Xu, Y.Y.[Yong-Yang], Huang, Y.[Ying], Li, C.F.[Chun-Feng],
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Mangrove and Saltmarsh Distribution Mapping and Land Cover Change Assessment for South-Eastern Australia from 1991 to 2015,
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Jiang, Y.F.[Yu-Feng], Zhang, L.[Li], Yan, M.[Min], Qi, J.G.[Jian-Guo], Fu, T.M.[Tian-Meng], Fan, S.X.[Shun-Xiang], Chen, B.[Bowei],
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Kanniah, K.D.[Kasturi Devi], Kang, C.S.[Chuen Siang], Sharma, S.[Sahadev], Amir, A.A.[A. Aldrie],
Remote Sensing to Study Mangrove Fragmentation and Its Impacts on Leaf Area Index and Gross Primary Productivity in the South of Peninsular Malaysia,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
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Lombard, F.[Florent], Andrieu, J.[Julien],
Mapping Mangrove Zonation Changes in Senegal with Landsat Imagery Using an OBIA Approach Combined with Linear Spectral Unmixing,
RS(13), No. 10, 2021, pp. xx-yy.
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Zhang, J.Y.[Jun-Yao], Yang, X.M.[Xiao-Mei], Wang, Z.H.[Zhi-Hua], Zhang, T.[Tao], Liu, X.L.[Xiao-Liang],
Remote Sensing Based Spatial-Temporal Monitoring of the Changes in Coastline Mangrove Forests in China over the Last 40 Years,
RS(13), No. 10, 2021, pp. xx-yy.
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Lee, C.K.F.[Calvin K. F.], Duncan, C.[Clare], Nicholson, E.[Emily], Fatoyinbo, T.E.[Temilola E.], Lagomasino, D.[David], Thomas, N.[Nathan], Worthington, T.A.[Thomas A.], Murray, N.J.[Nicholas J.],
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Behera, M.D.[Mukunda Dev], Barnwal, S.[Surbhi], Paramanik, S.[Somnath], Das, P.[Pulakesh], Bhattyacharya, B.K.[Bimal Kumar], Jagadish, B.[Buddolla], Roy, P.S.[Parth S.], Ghosh, S.M.[Sujit Madhab], Behera, S.K.[Soumit Kumar],
Species-Level Classification and Mapping of a Mangrove Forest Using Random Forest: Utilisation of AVIRIS-NG and Sentinel Data,
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Darko, P.O.[Patrick Osei], Kalacska, M.[Margaret], Arroyo-Mora, J.P.[J. Pablo], Fagan, M.E.[Matthew E.],
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Global Sensitivity Analysis for Canopy Reflectance and Vegetation Indices of Mangroves,
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Ghorbanian, A.[Arsalan], Zaghian, S.[Soheil], Asiyabi, R.M.[Reza Mohammadi], Amani, M.[Meisam], Mohammadzadeh, A.[Ali], Jamali, S.[Sadegh],
Mangrove Ecosystem Mapping Using Sentinel-1 and Sentinel-2 Satellite Images and Random Forest Algorithm in Google Earth Engine,
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Peereman, J.[Jonathan], Hogan, J.A.[J. Aaron], Lin, T.C.[Teng-Chiu],
Cold Wave-Induced Reductions in NDII and ChlRE for North-Western Pacific Mangroves Varies with Latitude and Climate History,
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Durango-Cordero, J.[Juan], Satyanarayana, B.[Behara], Chan, J.C.W.[Jonathan Cheung-Wai], Bogaert, J.[Jan], Dahdouh-Guebas, F.[Farid],
Distinguishing Original and Non-Original Stands at the Zhanjiang Mangrove National Nature Reserve (P.R. China): Remote Sensing and GIS for Conservation and Ecological Research,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
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Salum, R.B.[Rafaela B.], Robinson, S.A.[Sharon A.], Rogers, K.[Kerrylee],
A Validated and Accurate Method for Quantifying and Extrapolating Mangrove Above-Ground Biomass Using LiDAR Data,
RS(13), No. 14, 2021, pp. xx-yy.
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Cohen, M.C.L.[Marcelo Cancela Lisboa], de Souza, A.V.[Adriana Vivan], Liu, K.B.[Kam-Biu], Rodrigues, E.[Erika], Yao, Q.[Qiang], Pessenda, L.C.R.[Luiz Carlos Ruiz], Rossetti, D.[Dilce], Ryu, J.[Junghyung], Dietz, M.[Marianne],
Effects of Beach Nourishment Project on Coastal Geomorphology and Mangrove Dynamics in Southern Louisiana, USA,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
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Chamberlain, D.A.[Debbie A.], Phinn, S.R.[Stuart R.], Possingham, H.P.[Hugh P.],
Mangrove Forest Cover and Phenology with Landsat Dense Time Series in Central Queensland, Australia,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
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Zhao, C.P.[Chuan-Peng], Qin, C.Z.[Cheng-Zhi],
The Key Reason of False Positive Misclassification for Accurate Large-Area Mangrove Classifications,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
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Gao, Q.[Qiong], Yu, M.[Mei],
Elevation and Distribution of Freshwater and Sewage Canals Regulate Canopy Structure and Differentiate Hurricane Damages to a Basin Mangrove Forest,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
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Gopalakrishnan, L.[Lavaniadevi], Satyanarayana, B.[Behara], Chen, D.Y.[Dan-Yang], Wolswijk, G.[Giovanna], Amir, A.A.[A. Aldrie], Vandegehuchte, M.B.[Michiel B.], Muslim, A.B.[Aidy B.], Koedam, N.[Nico], Dahdouh-Guebas, F.[Farid],
Using Historical Archives and Landsat Imagery to Explore Changes in the Mangrove Cover of Peninsular Malaysia between 1853 and 2018,
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DOI Link 2109
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Awty-Carroll, K.[Katie], Bunting, P.[Pete], Hardy, A.[Andy], Bell, G.[Gemma],
Evaluation of the Continuous Monitoring of Land Disturbance Algorithm for Large-Scale Mangrove Classification,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
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Lu, Y.Q.[Ya-Qing], Zhu, X.D.[Xu-Dong],
Response of Mangrove Carbon Fluxes to Drought Stress Detected by Photochemical Reflectance Index,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
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Zhu, B.[Bin], Liao, J.J.[Jing-Juan], Shen, G.Z.[Guo-Zhuang],
Spatio-Temporal Simulation of Mangrove Forests under Different Scenarios: A Case Study of Mangrove Protected Areas, Hainan Island, China,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
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Jaud, M.[Marion], Sicot, G.[Guillaume], Brunier, G.[Guillaume], Michaud, E.[Emma], Le Dantec, N.[Nicolas], Ammann, J.[Jérôme], Grandjean, P.[Philippe], Launeau, P.[Patrick], Thouzeau, G.[Gérard], Fleury, J.[Jules], Delacourt, C.[Christophe],
Easily Implemented Methods of Radiometric Corrections for Hyperspectral-UAV: Application to Guianese Equatorial Mudbanks Colonized by Pioneer Mangroves,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
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Samanta, S.[Sourav], Hazra, S.[Sugata], Mondal, P.P.[Partho P.], Chanda, A.[Abhra], Giri, S.[Sandip], French, J.R.[Jon R.], Nicholls, R.J.[Robert J.],
Assessment and Attribution of Mangrove Forest Changes in the Indian Sundarbans from 2000 to 2020,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
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Jamaluddin, I.[Ilham], Thaipisutikul, T.[Tipajin], Chen, Y.N.[Ying-Nong], Chuang, C.H.[Chi-Hung], Hu, C.L.[Chih-Lin],
MDPrePost-Net: A Spatial-Spectral-Temporal Fully Convolutional Network for Mapping of Mangrove Degradation Affected by Hurricane Irma 2017 Using Sentinel-2 Data,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
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Rahmandhana, A.D.[Arie Dwika], Kamal, M.[Muhammad], Wicaksono, P.[Pramaditya],
Spectral Reflectance-Based Mangrove Species Mapping from WorldView-2 Imagery of Karimunjawa and Kemujan Island, Central Java Province, Indonesia,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
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Mohamad, N.[Norhafizi], Ahmad, A.[Anuar], Khanan, M.F.A.[Mohd Faisal Abdul], Din, A.H.M.[Ami Hassan Md],
Surface Elevation Changes Estimation Underneath Mangrove Canopy Using SNERL Filtering Algorithm and DoD Technique on UAV-Derived DSM Data,
IJGI(11), No. 1, 2022, pp. xx-yy.
DOI Link 2201
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Gao, Q.[Qiong], Yu, M.[Mei],
Elevation Regimes Modulated the Responses of Canopy Structure of Coastal Mangrove Forests to Hurricane Damage,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
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Liu, X.L.[Xiao-Liang], Yang, X.M.[Xiao-Mei], Zhang, T.[Tao], Wang, Z.H.[Zhi-Hua], Zhang, J.Y.[Jun-Yao], Liu, Y.M.[Yue-Ming], Liu, B.[Bin],
Remote Sensing Based Conservation Effectiveness Evaluation of Mangrove Reserves in China,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
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Lomeo, D.[Davide], Singh, M.[Minerva],
Cloud-Based Monitoring and Evaluation of the Spatial-Temporal Distribution of Southeast Asia's Mangroves Using Deep Learning,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
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Ghosh, S.[Shuvankar], Proisy, C.[Christophe], Muthusankar, G.[Gowrappan], Hassenrück, C.[Christiane], Helfer, V.[Véronique], Mathevet, R.[Raphaël], Andrieu, J.[Julien], Balachandran, N.[Natesan], Narendran, R.[Rajendran],
Multiscale Diagnosis of Mangrove Status in Data-Poor Context Using Very High Spatial Resolution Satellite Images: A Case Study in Pichavaram Mangrove Forest, Tamil Nadu, India,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
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Yang, G.[Gang], Huang, K.[Ke], Sun, W.W.[Wei-Wei], Meng, X.C.[Xiang-Chao], Mao, D.H.[De-Hua], Ge, Y.[Yong],
Enhanced mangrove vegetation index based on hyperspectral images for mapping mangrove,
PandRS(189), 2022, pp. 236-254.
Elsevier DOI 2206
Mangrove, Vegetation index, Mangrove Vegetation Index (MVI), Hyperspectral imagery, ZY1-02D BibRef

Wolswijk, G.[Giovanna], Trullols, A.B.[Africa Barrios], Hugé, J.[Jean], Otero, V.[Viviana], Satyanarayana, B.[Behara], Lucas, R.[Richard], Dahdouh-Guebas, F.[Farid],
Can Mangrove Silviculture Be Carbon Neutral?,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
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Xia, Q.[Qing], He, T.T.[Ting-Ting], Qin, C.Z.[Cheng-Zhi], Xing, X.M.[Xue-Min], Xiao, W.[Wu],
An Improved Submerged Mangrove Recognition Index-Based Method for Mapping Mangrove Forests by Removing the Disturbance of Tidal Dynamics and S. alterniflora,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Hickey, S.M.[Sharyn M.], Radford, B.[Ben],
Turning the Tide on Mapping Marginal Mangroves with Multi-Dimensional Space-Time Remote Sensing,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
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Bunting, P.[Pete], Rosenqvist, A.[Ake], Hilarides, L.[Lammert], Lucas, R.M.[Richard M.], Thomas, N.[Nathan], Tadono, T.[Takeo], Worthington, T.A.[Thomas A.], Spalding, M.[Mark], Murray, N.J.[Nicholas J.], Rebelo, L.M.[Lisa-Maria],
Global Mangrove Extent Change 1996-2020: Global Mangrove Watch Version 3.0,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Miao, J.[Jing], Zhen, J.N.[Jia-Ning], Wang, J.J.[Jun-Jie], Zhao, D.[Demei], Jiang, X.P.[Xia-Peng], Shen, Z.[Zhen], Gao, C.J.[Chang-Jun], Wu, G.F.[Guo-Feng],
Mapping Seasonal Leaf Nutrients of Mangrove with Sentinel-2 Images and XGBoost Method,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Vu, T.T.P.[Thuy Thi Phuong], Pham, T.D.[Tien Dat], Saintilan, N.[Neil], Skidmore, A.[Andrew], Luu, H.V.[Hung Viet], Vu, Q.H.[Quang Hien], Le, N.N.[Nga Nhu], Nguyen, H.Q.[Huu Quang], Matsushita, B.[Bunkei],
Mapping Multi-Decadal Mangrove Extent in the Northern Coast of Vietnam Using Landsat Time-Series Data on Google Earth Engine Platform,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Zhao, C.P.[Chuan-Peng], Qin, C.Z.[Cheng-Zhi], Wang, Z.M.[Zong-Ming], Mao, D.H.[De-Hua], Wang, Y.Q.[Ye-Qiao], Jia, M.M.[Ming-Ming],
Decision surface optimization in mapping exotic mangrove species (Sonneratia apetala) across latitudinal coastal areas of China,
PandRS(193), 2022, pp. 269-283.
Elsevier DOI 2210
Exotic species, Sentinel imagery, Mangrove species mapping, Google Earth Engine, Coastal China BibRef

Tran, T.V.[Thuong V.], Reef, R.[Ruth], Zhu, X.[Xuan],
A Review of Spectral Indices for Mangrove Remote Sensing,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
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Erfanifard, Y.[Yousef], Nasirabad, M.L.[Mohsen Lotfi], Sterenczak, K.[Krzysztof],
Assessment of Iran's Mangrove Forest Dynamics (1990-2020) Using Landsat Time Series,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
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And: Correction: RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303
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Liu, M.F.[Ming-Feng], Leung, F.[Felix], Lee, S.Y.[Shing-Yip],
Interpreting Mangrove Habitat and Coastal Land Cover Change in the Greater Bay Area, Southern China, from 1924 to 2020 Using Historical Aerial Photos and Multiple Sources of Satellite Data,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
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Fu, C.[Chang], Song, X.[Xiqiang], Xie, Y.[Yu], Wang, C.[Cai], Luo, J.[Jianbiao], Fang, Y.[Ying], Cao, B.[Bing], Qiu, Z.X.[Zi-Xuan],
Research on the Spatiotemporal Evolution of Mangrove Forests in the Hainan Island from 1991 to 2021 Based on SVM and Res-UNet Algorithms,
RS(14), No. 21, 2022, pp. xx-yy.
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Li, Y.Y.[Yu-Yang], Fu, B.[Bolin], Sun, X.D.[Xi-Dong], Fan, D.L.[Dong-Lin], Wang, Y.Q.[Ye-Qiao], He, H.C.[Hong-Chang], Gao, E.[Ertao], He, W.[Wen], Yao, Y.F.[Yue-Feng],
Comparison of Different Transfer Learning Methods for Classification of Mangrove Communities Using MCCUNet and UAV Multispectral Images,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
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He, T.T.[Ting-Ting], Fu, Y.C.[Ying-Chun], Ding, H.[Hu], Zheng, W.P.[Wei-Ping], Huang, X.H.[Xiao-Hui], Li, R.H.[Run-Hao], Wu, S.T.[Shu-Ting],
Evaluation of Mangrove Wetlands Protection Patterns in the Guangdong-Hong Kong-Macao Greater Bay Area Using Time-Series Landsat Imageries,
RS(14), No. 23, 2022, pp. xx-yy.
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Cardenas, S.M.M.[Sergio M. M.], Cohen, M.C.L.[Marcelo C. L.], Ruiz, D.P.C.[Diana P. C.], Souza, A.V.[Adriana V.], Gomez-Neita, J.S.[Juan. S.], Pessenda, L.C.R.[Luiz C. R.], Culligan, N.[Nicholas],
Death and Regeneration of an Amazonian Mangrove Forest by Anthropic and Natural Forces,
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Purwanto, A.D.[Anang Dwi], Wikantika, K.[Ketut], Deliar, A.[Albertus], Darmawan, S.[Soni],
Decision Tree and Random Forest Classification Algorithms for Mangrove Forest Mapping in Sembilang National Park, Indonesia,
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Lassalle, G.[Guillaume], Ferreira, M.P.[Matheus Pinheiro], Cué-La Rosa, L.E.[Laura Elena], Scafutto, R.D.M.[Rebecca Del'Papa Moreira], de Souza-Filho, C.R.[Carlos Roberto],
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Elsevier DOI 2301
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Monitoring of 35-Year Mangrove Wetland Change Dynamics and Agents in the Sundarbans Using Temporal Consistency Checking,
RS(15), No. 3, 2023, pp. xx-yy.
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Niwa, H.[Hideyuki], Ise, H.[Hajime], Kamada, M.[Mahito],
Suitable LiDAR Platform for Measuring the 3D Structure of Mangrove Forests,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
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Wang, X.Z.[Xin-Zhe], Tan, L.L.[Lin-Lin], Fan, J.C.[Jian-Chao],
Performance Evaluation of Mangrove Species Classification Based on Multi-Source Remote Sensing Data Using Extremely Randomized Trees in Fucheng Town, Leizhou City, Guangdong Province,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303
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Gao, E.[Ertao], Zhou, G.Q.[Guo-Qing],
Spatio-Temporal Changes of Mangrove-Covered Tidal Flats over 35 Years Using Satellite Remote Sensing Imageries: A Case Study of Beibu Gulf, China,
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Mathai, D.[Daina], Cristina, S.[Sónia], Owuor, M.A.[Margaret Awuor],
Application of Free Satellite Imagery to Map Ecosystem Services in Ungwana Bay, Kenya,
RS(15), No. 7, 2023, pp. 1802.
DOI Link 2304
BibRef

Wu, L.[Lan], Guo, E.[Enliang], An, Y.[Yinghe], Xiong, Q.[Qian], Shi, X.[Xian], Zhang, X.[Xiang], Sun, Z.Y.[Zhong-Yi],
Evaluating the Losses and Recovery of GPP in the Subtropical Mangrove Forest Directly Attacked by Tropical Cyclone: Case Study in Hainan Island,
RS(15), No. 8, 2023, pp. 2094.
DOI Link 2305
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Bunting, P.[Pete], Hilarides, L.[Lammert], Rosenqvist, A.[Ake], Lucas, R.M.[Richard M.], Kuto, E.[Edmond], Gueye, Y.[Yakhya], Ndiaye, L.[Laye],
Global Mangrove Watch: Monthly Alerts of Mangrove Loss for Africa,
RS(15), No. 8, 2023, pp. 2050.
DOI Link 2305
BibRef

Tian, Y.C.[Yi-Chao], Huang, H.[Hu], Zhou, G.Q.[Guo-Qing], Zhang, Q.[Qiang], Xie, X.[Xiaokui], Ou, J.H.[Jin-Hai], Zhang, Y.[Yali], Tao, J.[Jin], Lin, J.L.[Jun-Liang],
Mangrove Biodiversity Assessment Using UAV Lidar and Hyperspectral Data in China's Pinglu Canal Estuary,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
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Li, Q.[Qiaosi], Wong, F.K.K.[Frankie Kwan Kit], Fung, T.[Tung], Brown, L.A.[Luke A.], Dash, J.[Jadunandan],
Assessment of Active LiDAR Data and Passive Optical Imagery for Double-Layered Mangrove Leaf Area Index Estimation: A Case Study in Mai Po, Hong Kong,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
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Zhao, C.P.[Chuan-Peng], Jia, M.M.[Ming-Ming], Wang, Z.M.[Zong-Ming], Mao, D.H.[De-Hua], Wang, Y.Q.[Ye-Qiao],
Identifying mangroves through knowledge extracted from trained random forest models: An interpretable mangrove mapping approach (IMMA),
PandRS(201), 2023, pp. 209-225.
Elsevier DOI 2307
Mangrove mapping, Knowledge extraction, Decision rules, Random forest, Explainable artificial intelligence BibRef

Schürholz, D.[Daniel], Castellanos-Galindo, G.A.[Gustavo Adolfo], Casella, E.[Elisa], Mejía-Rentería, J.C.[Juan Carlos], Chennu, A.[Arjun],
Seeing the Forest for the Trees: Mapping Cover and Counting Trees from Aerial Images of a Mangrove Forest Using Artificial Intelligence,
RS(15), No. 13, 2023, pp. 3334.
DOI Link 2307
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Giri, C.[Chandra],
Frontiers in Global Mangrove Forest Monitoring,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
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Contessa, V.[Valeria], Dyson, K.[Karen], Mulas, P.P.V.[Pedro Pablo Vivar], Kindgard, A.[Adolfo], Liu, T.[Tianchi], Saah, D.[David], Tenneson, K.[Karis], Pekkarinen, A.[Anssi],
Uncovering Dynamics of Global Mangrove Gains and Losses,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
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Giri, C.[Chandra], Long, J.[Jordan], Poudel, P.[Prapti],
Mangrove Forest Cover Change in the Conterminous United States from 1980-2020,
RS(15), No. 20, 2023, pp. 5018.
DOI Link 2310
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Sun, Z.Y.[Zi-Yu], Jiang, W.G.[Wei-Guo], Ling, Z.Y.[Zi-Yan], Zhong, S.[Shiquan], Zhang, Z.[Ze], Song, J.[Jie], Xiao, Z.J.[Zhi-Jie],
Using Multisource High-Resolution Remote Sensing Data (2 m) with a Habitat-Tide-Semantic Segmentation Approach for Mangrove Mapping,
RS(15), No. 22, 2023, pp. 5271.
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Shen, Z.[Zhen], Miao, J.[Jing], Wang, J.J.[Jun-Jie], Zhao, D.[Demei], Tang, A.[Aowei], Zhen, J.N.[Jia-Ning],
Evaluating Feature Selection Methods and Machine Learning Algorithms for Mapping Mangrove Forests Using Optical and Synthetic Aperture Radar Data,
RS(15), No. 23, 2023, pp. 5621.
DOI Link 2312
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Chen, R.[Ran], Zhang, R.[Rong], Zhao, C.P.[Chuan-Peng], Wang, Z.M.[Zong-Ming], Jia, M.M.[Ming-Ming],
High-Resolution Mapping of Mangrove Species Height in Fujian Zhangjiangkou National Mangrove Nature Reserve Combined GF-2, GF-3, and UAV-LiDAR,
RS(15), No. 24, 2023, pp. 5645.
DOI Link 2401
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Maung, W.S.[Win Sithu], Tsuyuki, S.[Satoshi], Guo, Z.L.[Zhi-Ling],
Improving Land Use and Land Cover Information of Wunbaik Mangrove Area in Myanmar Using U-Net Model with Multisource Remote Sensing Datasets,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
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Wang, K.[Kedong], Jia, M.M.[Ming-Ming], Zhang, X.[Xiaohai], Zhao, C.P.[Chuan-Peng], Zhang, R.[Rong], Wang, Z.M.[Zong-Ming],
Evaluating Ecosystem Service Value Changes in Mangrove Forests in Guangxi, China, from 2016 to 2020,
RS(16), No. 3, 2024, pp. 494.
DOI Link 2402
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Chan-Bagot, K.[Kim], Herndon, K.E.[Kelsey E.], Nicolau, A.P.[Andréa Puzzi], Martín-Arias, V.[Vanesa], Evans, C.[Christine], Parache, H.[Helen], Mosely, K.[Kene], Narine, Z.[Zola], Zutta, B.[Brian],
Integrating SAR, Optical, and Machine Learning for Enhanced Coastal Mangrove Monitoring in Guyana,
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Panuntun, I.A.[Ilham Adi], Jamaluddin, I.[Ilham], Chen, Y.N.[Ying-Nong], Lai, S.N.[Shiou-Nu], Fan, K.C.[Kuo-Chin],
LinkNet-Spectral-Spatial-Temporal Transformer Based on Few-Shot Learning for Mangrove Loss Detection with Small Dataset,
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Binh, N.A.[Nguyen An], Hauser, L.T.[Leon T.], Salinero-Delgado, M.[Matías], Hoa, P.V.[Pham Viet], Thao, G.T.P.[Giang Thi Phuong], Verrelst, J.[Jochem],
Monitoring mangrove traits through optical Earth observation: Towards spatio-temporal scalability using cloud-based Sentinel-2 continuous time series,
PandRS(214), 2024, pp. 135-152.
Elsevier DOI 2407
Mangrove traits, Radiative Transfer Model, Google Earth Engine, Gap-filling and smoothing Whittaker, Uncertainty estimation, Time series decomposition BibRef

Small, C.[Christopher], Sousa, D.[Daniel],
Spectroscopic Phenological Characterization of Mangrove Communities,
RS(16), No. 15, 2024, pp. 2796.
DOI Link 2408
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Seydi, S.T.[Seyd Teymoor], Ahmadi, S.A.[Seyed Ali], Ghorbanian, A.[Arsalan], Amani, M.[Meisam],
Land Cover Mapping in a Mangrove Ecosystem Using Hybrid Selective Kernel-Based Convolutional Neural Networks and Multi-Temporal Sentinel-2 Imagery,
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Extraction of 10 m Resolution Global Mangrove in 2022,
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Fine-Scale Mangrove Species Classification Based on UAV Multispectral and Hyperspectral Remote Sensing Using Machine Learning,
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DOI Link 2408
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Roy, A.D.[Abhilash Dutta], Karpowicz, D.A.[Daria Agnieszka], Hendy, I.[Ian], Rog, S.M.[Stefanie M.], Watt, M.S.[Michael S.], Reef, R.[Ruth], Broadbent, E.N.[Eben North], Asbridge, E.F.[Emma F.], Gebrie, A.[Amare], Ali, T.[Tarig], Mohan, M.[Midhun],
Current Status of Remote Sensing for Studying the Impacts of Hurricanes on Mangrove Forests in the Coastal United States,
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Zhang, B.[Boya], Gann, D.[Daniel], Wdowinski, S.[Shimon], Lin, C.[Chaohao], Hestir, E.[Erin], Lamb-Wotton, L.[Lukas], Ishtiaq, K.S.[Khandker S.], Smith, K.[Kaleb], Li, Y.[Yuepeng],
Space-Based Mapping of Pre- and Post-Hurricane Mangrove Canopy Heights Using Machine Learning with Multi-Sensor Observations,
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Win, K.S.[Kyaw Soe], Sasaki, J.[Jun],
The Change Detection of Mangrove Forests Using Deep Learning with Medium-Resolution Satellite Imagery: A Case Study of Wunbaik Mangrove Forest in Myanmar,
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Valero-Jorge, A.[Alexey], González-Lozano, R.[Raúl], Zayas, R.G.D.[Roberto González-De], Matos-Pupo, F.[Felipe], Sorí, R.[Rogert], Stojanovic, M.[Milica],
An Innovative Tool for Monitoring Mangrove Forest Dynamics in Cuba Using Remote Sensing and WebGIS Technologies: SIGMEM,
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Lim, H.S.[Han Shen], Lee, Y.L.[Yun-Li], Eu, K.S.[Kok Seng], Lin, M.H.[Mei-Hua], Yap, K.M.[Kian Meng], Chia, W.C.[Wai Chong],
Novel Annotation and Metrics for Mangrove Species Classification Using Bounding Box Object Detection,
ICIP23(2030-2034)
IEEE DOI 2312
BibRef

Li, H.Z., Han, Y., Chen, J.S.,
Exploring the Capabilities of Combining the Sentinel-2 MSI Data And High Resolution Google Earth Image for Mapping Mangrove Species,
ISPRS20(B3:1001-1007).
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Baharlouii, M., Mafi Gholami, D., Abbasi, M.,
Investigating Mangrove Fragmentation Changes Using Landscape Metrics,
SMPR19(159-162).
DOI Link 1912
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Domingo, G.A., Claridades, A.R.C., Tupas, M.E.A.,
Unmanned Aerial Vehicle (UAV) Survey-assisted 3D Mangrove Tree Modeling,
GeoDisast18(123-127).
DOI Link 1901
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Domingo, G.A., Mallillin, M.M., Perez, A.M.C., Claridades, A.R.C., Tamondong, A.M.,
3d Visualization of Mangrove And Aquaculture Conversion in Banate Bay, Iloilo,
GeoDisast17(53-60).
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Otero, V., Martínez-Espinosa, C., Dahdouh-Guebas, F., van de Kerchove, R., Satyanarayana, B., Lucas, R.,
Variations in mangrove regeneration rates under different management plans: An analysis of Landsat time-series in the Matang Mangrove Forest Reserve, Peninsular Malaysia,
MultiTemp17(1-3)
IEEE DOI 1712
vegetation mapping, BFAST algorithm, Landsat time-series, Matang Mangrove Forest Reserve, Peninsular Malaysia, image-stack, time-series analysis BibRef

Pada, A.V., Silapan, J., Cabanlit, M.A., Campomanes, F., Garcia, J.J.,
Mangrove Forest Cover Extraction Of The Coastal Areas Of Negros Occidental, Western Visayas, Philippines Using Lidar Data,
ISPRS16(B1: 73-79).
DOI Link 1610
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Monzon, A.K., Reyes, S.R., Veridiano, R.K., Tumaneng, R., de Alban, J.D.,
Synergy Of Optical And Sar Data For Mapping And Monitoring Mangroves,
ISPRS16(B6: 259-266).
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Agrawal, M.[Mayank], Reddy, D.S.[Devireddy Sushma], Prasad, R.C.[Ram Chandra],
Automatic Extraction Of Mangrove Vegetation From Optical Satellite Data,
ISPRS16(B8: 555-561).
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Faelga, R.A.G., Paringit, E.C., Perez, G.J.P., Ibanez, C.A.G., Argamosa, R.A.L., Posilero, M.A.V., Zaragosa, G.P., Tandoc, F.A.M., Malabanan, M.V.,
Mangrove Plantation Forest Assessment Using Structural Attributes Derived From Light Detection And Ranging (lidar) Data,
ISPRS16(B8: 617-623).
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Maeda, Y., Fukushima, A., Imai, Y., Tanahashi, Y., Nakama, E., Ohta, S., Kawazoe, K., Akune, N.,
Estimating Carbon Stock Changes Of Mangrove Forests Using Satellite Imagery And Airborne Lidar Data In The South Sumatra State, Indonesia,
ISPRS16(B8: 705-709).
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Viennois, G., Proisy, C., Rahmania, R., Andayani, A., Subki, B., Suhardjono, Feret, J.B., Prosperi, J., Sidik, F., Widagti, N., Germain, O., Gaspar, P.,
Temporal stability of mangrove multispectral signatures at fine scales: Stability of mangrove multispectral signatures,
MultiTemp15(1-4)
IEEE DOI 1511
data acquisition BibRef

Rahmania, R., Proisy, C., Germain, O., Gaspar, P., Viennois, G., Prosperi, J., Andayani, A., Subki, B., Farhan, A.R., Sidik, F., Widagti, N., Gusmawati, N.F., Lemonnier, H., Suhardjono,
13 Years of changes in the extent and physiognomy of mangroves after shrimp farming abandonment, Bali,
MultiTemp15(1-4)
IEEE DOI 1511
rivers BibRef

Chakravortty, S.[Somdatta], Choudhury, A.S.[Arpita Saha],
Determining spatial location of sub pixels in hyperspectral data for mangrove species identification,
ICSIPR13(39-43).
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Mahmudur Rahman, M.,
Time-series Analysis Of Coastal Erosion In The Sundarbans Mangrove,
ISPRS12(XXXIX-B8:425-429).
DOI Link 1209
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Kux, H.J.H., Souza, U.D.V.,
Object-based Image Analysis Of Worldview-2 Satellite Data For The Classification Of Mangrove Areas In The City Of São Luís, Maranhão State, Brazil,
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de Oliveira Vasconcelos, A.[Adriano], Landau, L.[Luiz], de Miranda, F.P.[Fernando Pellon],
Multi-temporal analysis of a mangrove ecosystem in Southeastern Brazil using object-based classification applied to IKONOS II data,
MultiTemp11(169-172).
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BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
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