22.5.11.9 Mangrove Analysis, Swamps, Coasts, Trees

Chapter Contents (Back)
Mangroves. Forest. Mangroves are an indicator of the erosion of the coast line.

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.
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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,
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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
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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
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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
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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
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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
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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
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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.
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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
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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
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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
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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
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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
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Flores-de-Santiago, F.[Francisco], Kovacs, J.M.[John M.], Wang, J.[Jinfei], 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
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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
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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
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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
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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.
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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.[Guoyu], Xie, G.[Guishui], 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.[Shugong], 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.
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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,
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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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Does Sea Surface Temperature Contribute to Determining Range Limits and Expansion of Mangroves in Eastern South America (Brazil)?,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
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Cao, J.J.[Jing-Jing], Liu, K.[Kai], Liu, L.[Lin], Zhu, Y.H.[Yuan-Hui], Li, J.[Jun], He, Z.[Zhi],
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Lu, C.Y.[Chun-Yan], Liu, J.F.[Jin-Fu], Jia, M.M.[Ming-Ming], Liu, M.Y.[Ming-Yue], Man, W.D.[Wei-Dong], Fu, W.W.[Wei-Wei], Zhong, L.X.[Lian-Xiu], Lin, X.Q.[Xiao-Qing], Su, Y.[Ying], Gao, Y.B.[Yi-Bin],
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Integration of UAV, Sentinel-1, and Sentinel-2 Data for Mangrove Plantation Aboveground Biomass Monitoring in Senegal,
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Pham, T.D.[Tien Dat], Yokoya, N.[Naoto], Bui, D.T.[Dieu Tien], Yoshino, K.[Kunihiko], Friess, D.A.[Daniel A.],
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Gandhi, S.[Samir], Jones, T.G.[Trevor Gareth],
Identifying Mangrove Deforestation Hotspots in South Asia, Southeast Asia and Asia-Pacific,
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Liu, C.C.[Cheng-Chien], Hsu, T.W.[Tsai-Wen], Wen, H.L.[Hui-Lin], Wang, K.H.[Kung-Hwa],
Mapping Pure Mangrove Patches in Small Corridors and Sandbanks Using Airborne Hyperspectral Imagery,
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Buitre, M.J.C.[Mary Joy C.], Zhang, H.[Hongsheng], Lin, H.[Hui],
The Mangrove Forests Change and Impacts from Tropical Cyclones in the Philippines Using Time Series Satellite Imagery,
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Diniz, C.[Cesar], Cortinhas, L.[Luiz], Nerino, G.[Gilberto], Rodrigues, J.[Jhonatan], Sadeck, L.[Luís], Adami, M.[Marcos], Souza-Filho, P.W.M.[Pedro Walfir M.],
Brazilian Mangrove Status: Three Decades of Satellite Data Analysis,
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Otero, V.[Viviana], van de Kerchove, R.[Ruben], Satyanarayana, B.[Behara], Mohd-Lokman, H.[Husain], Lucas, R.[Richard], Dahdouh-Guebas, F.[Farid],
An Analysis of the Early Regeneration of Mangrove Forests using Landsat Time Series in the Matang Mangrove Forest Reserve, Peninsular Malaysia,
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Ma, C.L.[Chun-Lei], Ai, B.[Bin], Zhao, J.[Jun], Xu, X.P.[Xiao-Ping], Huang, W.[Wei],
Change Detection of Mangrove Forests in Coastal Guangdong during the Past Three Decades Based on Remote Sensing Data,
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Songsom, V.[Veeranun], Koedsin, W.[Werapong], Ritchie, R.J.[Raymond J.], Huete, A.[Alfredo],
Mangrove Phenology and Environmental Drivers Derived from Remote Sensing in Southern Thailand,
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Li, Z.[Zhen], Zan, Q.J.[Qi-Jie], Yang, Q.[Qiong], Zhu, D.[Dehuang], Chen, Y.J.[You-Jun], Yu, S.X.[Shi-Xiao],
Remote Estimation of Mangrove Aboveground Carbon Stock at the Species Level Using a Low-Cost Unmanned Aerial Vehicle System,
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DOI Link 1905
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Wang, D.[Dezhi], Wan, B.[Bo], Qiu, P.[Penghua], Zuo, Z.[Zejun], Wang, R.[Run], Wu, X.[Xincai],
Mapping Height and Aboveground Biomass of Mangrove Forests on Hainan Island Using UAV-LiDAR Sampling,
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Li, Q.[Qiaosi], Wong, F.K.K.[Frankie Kwan Kit], Fung, T.[Tung],
Classification of Mangrove Species Using Combined WordView-3 and LiDAR Data in Mai Po Nature Reserve, Hong Kong,
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DOI Link 1909
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Small, C.[Christopher], Sousa, D.[Daniel],
Spatiotemporal Characterization of Mangrove Phenology and Disturbance Response: The Bangladesh Sundarban,
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Jia, M.M.[Ming-Ming], Wang, Z.M.[Zong-Ming], Wang, C.[Chao], Mao, D.H.[De-Hua], Zhang, Y.Z.[Yuan-Zhi],
A New Vegetation Index to Detect Periodically Submerged Mangrove Forest Using Single-Tide Sentinel-2 Imagery,
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Li, H.Y.[Hui-Ying], Jia, M.M.[Ming-Ming], Zhang, R.[Rong], Ren, Y.X.[Yong-Xing], Wen, X.[Xin],
Incorporating the Plant Phenological Trajectory into Mangrove Species Mapping with Dense Time Series Sentinel-2 Imagery and the Google Earth Engine Platform,
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Mondal, P.[Pinki], Liu, X.[Xue], Fatoyinbo, T.E.[Temilola E.], Lagomasino, D.[David],
Evaluating Combinations of Sentinel-2 Data and Machine-Learning Algorithms for Mangrove Mapping in West Africa,
RS(11), No. 24, 2019, pp. xx-yy.
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Chamberlain, D.[Debbie], Phinn, S.[Stuart], Possingham, H.[Hugh],
Remote Sensing of Mangroves and Estuarine Communities in Central Queensland, Australia,
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Xiao, H.[Han], Su, F.Z.[Fen-Zhen], Fu, D.J.[Dong-Jie], Wang, Q.[Qi], Huang, C.[Chong],
Coastal Mangrove Response to Marine Erosion: Evaluating the Impacts of Spatial Distribution and Vegetation Growth in Bangkok Bay from 1987 to 2017,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001
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Wan, L.[Luoma], Lin, Y.[Yinyi], Zhang, H.[Hongsheng], Wang, F.[Feng], Liu, M.F.[Ming-Feng], Lin, H.[Hui],
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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],
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McCarthy, M.J.[Matthew J.], Jessen, B.[Brita], Barry, M.J.[Michael J.], Figueroa, M.[Marissa], McIntosh, J.[Jessica], Murray, T.[Tylar], Schmid, J.[Jill], Muller-Karger, F.E.[Frank E.],
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Zhu, Y.H.[Yuan-Hui], Liu, K.[Kai], Myint, S.W.[Soe W.], Du, Z.Y.[Zhen-Yu], Li, Y.[Yubin], Cao, J.J.[Jing-Jing], Liu, L.[Lin], Wu, Z.[Zhifeng],
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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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Mangrove index, Mangrove extent, Sentinel-2, Landsat, Vegetation mapping, Philippines BibRef

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Zheng, Y.[Yuhan], Takeuchi, W.[Wataru],
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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],
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Domingo, G.A., Mallillin, M.M., Perez, A.M.C., Claridades, A.R.C., Tamondong, A.M.,
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MultiTemp17(1-3)
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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.,
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Agrawal, M.[Mayank], Reddy, D.S.[Devireddy Sushma], Prasad, R.C.[Ram Chandra],
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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,
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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,
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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)
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Mahmudur Rahman, M.,
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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,
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Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Tundra Regions, Permafrost Analysis .


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