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.[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
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.[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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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],
The Global Mangrove Watch: A New 2010 Global Baseline of Mangrove
Extent,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link
1811
BibRef
Bunting, P.[Pete],
Rosenqvist, A.[Ake],
Hilarides, L.[Lammert],
Lucas, R.M.[Richard M.],
Thomas, N.[Nathan],
Global Mangrove Watch: Updated 2010 Mangrove Forest Extent (v2.5),
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Ximenes, A.C.[Arimatéa C.],
Ponsoni, L.[Leandro],
Lira, C.F.[Catarina F.],
Koedam, N.[Nico],
Dahdouh-Guebas, F.[Farid],
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
BibRef
Cao, J.J.[Jing-Jing],
Liu, K.[Kai],
Liu, L.[Lin],
Zhu, Y.H.[Yuan-Hui],
Li, J.[Jun],
He, Z.[Zhi],
Identifying Mangrove Species Using Field Close-Range Snapshot
Hyperspectral Imaging and Machine-Learning Techniques,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link
1901
BibRef
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],
Dynamic Analysis of Mangrove Forests Based on an Optimal Segmentation
Scale Model and Multi-Seasonal Images in Quanzhou Bay, China,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link
1901
BibRef
Navarro, J.A.[José Antonio],
Algeet, N.[Nur],
Fernández-Landa, A.[Alfredo],
Esteban, J.[Jessica],
Rodríguez-Noriega, P.[Pablo],
Guillén-Climent, M.L.[María Luz],
Integration of UAV, Sentinel-1, and Sentinel-2 Data for Mangrove
Plantation Aboveground Biomass Monitoring in Senegal,
RS(11), No. 1, 2019, pp. xx-yy.
DOI Link
1901
BibRef
Taureau, F.[Florent],
Robin, M.[Marc],
Proisy, C.[Christophe],
Fromard, F.[François],
Imbert, D.[Daniel],
Debaine, F.[Françoise],
Mapping the Mangrove Forest Canopy Using Spectral Unmixing of Very
High Spatial Resolution Satellite Images,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Xu, Y.[Yi],
Wang, J.J.[Jun-Jie],
Xia, A.[Anquan],
Zhang, K.Y.[Kang-Yong],
Dong, X.Y.[Xuan-Yan],
Wu, K.P.[Kai-Peng],
Wu, G.F.[Guo-Feng],
Continuous Wavelet Analysis of Leaf Reflectance Improves
Classification Accuracy of Mangrove Species,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Pham, T.D.[Tien Dat],
Yokoya, N.[Naoto],
Bui, D.T.[Dieu Tien],
Yoshino, K.[Kunihiko],
Friess, D.A.[Daniel A.],
Remote Sensing Approaches for Monitoring Mangrove Species, Structure,
and Biomass: Opportunities and Challenges,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Gandhi, S.[Samir],
Jones, T.G.[Trevor Gareth],
Identifying Mangrove Deforestation Hotspots in South Asia, Southeast
Asia and Asia-Pacific,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link
1903
BibRef
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,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Buitre, M.J.C.[Mary Joy C.],
Zhang, H.S.[Hong-Sheng],
Lin, H.[Hui],
The Mangrove Forests Change and Impacts from Tropical Cyclones in the
Philippines Using Time Series Satellite Imagery,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link
1903
BibRef
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,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
BibRef
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,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
BibRef
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,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link
1905
BibRef
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,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link
1905
BibRef
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,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link
1905
BibRef
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,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link
1909
BibRef
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,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Small, C.[Christopher],
Sousa, D.[Daniel],
Spatiotemporal Characterization of Mangrove Phenology and Disturbance
Response: The Bangladesh Sundarban,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link
1909
BibRef
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,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link
1909
BibRef
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,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link
1911
BibRef
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.
DOI Link
1912
BibRef
Chamberlain, D.[Debbie],
Phinn, S.[Stuart],
Possingham, H.[Hugh],
Remote Sensing of Mangroves and Estuarine Communities in Central
Queensland, Australia,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link
2001
BibRef
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
BibRef
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,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link
2003
BibRef
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,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link
2003
BibRef
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.
DOI Link
2006
BibRef
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,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Silván-Cárdenas, J.L.[José L.],
Gallardo-Cruz, J.A.[José A.],
Hernández-Huerta, L.M.[Laura M.],
Structured Pointcloud Segmentation for Individual Mangrove Tree
Modeling,
MCPR20(172-182).
Springer DOI
2007
BibRef
Biswas, H.[Himadri],
Zhang, K.[Keqi],
Ross, M.S.[Michael S.],
Gann, D.[Daniel],
Delineation of Tree Patches in a Mangrove-Marsh Transition Zone by
Watershed Segmentation of Aerial Photographs,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link
2007
BibRef
Baloloy, A.B.[Alvin B.],
Blanco, A.C.[Ariel C.],
Santa Ana, R.R.C.[Raymund Rhommel C.],
Nadaoka, K.[Kazuo],
Development and application of a new mangrove vegetation index (MVI)
for rapid and accurate mangrove mapping,
PandRS(166), 2020, pp. 95-117.
Elsevier DOI
2007
Mangrove index, Mangrove extent, Sentinel-2, Landsat,
Vegetation mapping, Philippines
BibRef
Nwobi, C.[Chukwuebuka],
Williams, M.[Mathew],
Mitchard, E.T.A.[Edward T. A.],
Rapid Mangrove Forest Loss and Nipa Palm (Nypa fruticans) Expansion
in the Niger Delta, 2007-2017,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link
2007
BibRef
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,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link
2007
BibRef
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.
DOI Link
2009
BibRef
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
BibRef
Zheng, Y.[Yuhan],
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,
IJGI(9), No. 9, 2020, pp. xx-yy.
DOI Link
2009
BibRef
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.
DOI Link
2010
BibRef
Zhao, C.P.[Chuan-Peng],
Qin, C.Z.[Cheng-Zhi],
10-m-resolution mangrove maps of China derived from multi-source and
multi-temporal satellite observations,
PandRS(169), 2020, pp. 389-405.
Elsevier DOI
2011
Mangrove map, Sentinel, River salinity,
Time series image analysis, Google Earth Engine
BibRef
Nababa, I.I.[Iliya Ishaku],
Symeonakis, E.[Elias],
Koukoulas, S.[Sotirios],
Higginbottom, T.P.[Thomas P.],
Cavan, G.[Gina],
Marsden, S.[Stuart],
Land Cover Dynamics and Mangrove Degradation in the Niger Delta
Region,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link
2011
BibRef
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,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link
2011
BibRef
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.
DOI Link
2011
BibRef
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
BibRef
Hsu, A.J.[Astrid J.],
Kumagai, J.[Joy],
Favoretto, F.[Fabio],
Dorian, J.[John],
Martinez, B.G.[Benigno Guerrero],
Aburto-Oropeza, O.[Octavio],
Driven by Drones: Improving Mangrove Extent Maps Using
High-Resolution Remote Sensing,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link
2012
BibRef
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,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link
2012
BibRef
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,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link
2101
BibRef
Songsom, V.[Veeranun],
Koedsin, W.[Werapong],
Ritchie, R.J.[Raymond J.],
Huete, A.[Alfredo],
Mangrove Phenology and Water Influences Measured with Digital Repeat
Photography,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link
2101
BibRef
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,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link
2101
BibRef
Zhang, T.[Tao],
Hu, S.S.[Shan-Shan],
He, Y.[Yun],
You, S.C.[Shu-Cheng],
Yang, X.[Xiaomei],
Gan, Y.H.[Yu-Hang],
Liu, A.[Aixia],
A Fine-Scale Mangrove Map of China Derived from 2-Meter Resolution
Satellite Observations and Field Data,
IJGI(10), No. 2, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Giri, C.[Chandra],
Recent Advancement in Mangrove Forests Mapping and Monitoring of the
World Using Earth Observation Satellite Data,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Beselly, S.M.[Sebrian Mirdeklis],
van der Wegen, M.[Mick],
Grueters, U.[Uwe],
Reyns, J.[Johan],
Dijkstra, J.[Jasper],
Roelvink, D.[Dano],
Eleven Years of Mangrove-Mudflat Dynamics on the Mud Volcano-Induced
Prograding Delta in East Java, Indonesia: Integrating UAV and
Satellite Imagery,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Guo, M.Q.[Ming-Qiang],
Yu, Z.Y.[Zhong-Yang],
Xu, Y.Y.[Yong-Yang],
Huang, Y.[Ying],
Li, C.F.[Chun-Feng],
ME-Net: A Deep Convolutional Neural Network for Extracting Mangrove
Using Sentinel-2A Data,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Navarro, A.[Alejandro],
Young, M.[Mary],
Macreadie, P.I.[Peter I.],
Nicholson, E.[Emily],
Ierodiaconou, D.[Daniel],
Mangrove and Saltmarsh Distribution Mapping and Land Cover Change
Assessment for South-Eastern Australia from 1991 to 2015,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link
2104
BibRef
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],
High-Resolution Mangrove Forests Classification with Machine Learning
Using Worldview and UAV Hyperspectral Data,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link
2104
BibRef
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
BibRef
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.
DOI Link
2105
BibRef
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.
DOI Link
2105
BibRef
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.],
Mapping the Extent of Mangrove Ecosystem Degradation by Integrating
an Ecological Conceptual Model with Satellite Data,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link
2106
BibRef
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,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Darko, P.O.[Patrick Osei],
Kalacska, M.[Margaret],
Arroyo-Mora, J.P.[J. Pablo],
Fagan, M.E.[Matthew E.],
Spectral Complexity of Hyperspectral Images:
A New Approach for Mangrove Classification,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Niu, C.Y.[Chun-Yye],
Phinn, S.[Stuart],
Roelfsema, C.[Chris],
Global Sensitivity Analysis for Canopy Reflectance and Vegetation
Indices of Mangroves,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link
2107
BibRef
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,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link
2107
BibRef
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,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link
2107
BibRef
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
BibRef
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.
DOI Link
2107
BibRef
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
BibRef
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
BibRef
Zhao, C.[Chuanpeng],
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
BibRef
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
BibRef
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,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link
2109
BibRef
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
BibRef
Lu, Y.[Yaqing],
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
Liu, X.L.[Xiao-Liang],
Yang, X.M.[Xiao-Mei],
Zhang, T.[Tao],
Wang, Z.H.[Zhi-Hua],
Zhang, J.[Junyao],
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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.[Xiapeng],
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
BibRef
Baharlouii, M.,
Mafi Gholami, D.,
Abbasi, M.,
Investigating Mangrove Fragmentation Changes Using Landscape Metrics,
SMPR19(159-162).
DOI Link
1912
BibRef
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
BibRef
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).
DOI Link
1805
BibRef
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
BibRef
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).
DOI Link
1610
BibRef
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).
DOI Link
1610
BibRef
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).
DOI Link
1610
BibRef
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).
DOI Link
1610
BibRef
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).
IEEE DOI
1304
BibRef
Mahmudur Rahman, M.,
Time-series Analysis Of Coastal Erosion In The Sundarbans Mangrove,
ISPRS12(XXXIX-B8:425-429).
DOI Link
1209
BibRef
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,
AnnalsPRS(I-4), No. 2012, pp. 95-100.
HTML Version.
1209
BibRef
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).
IEEE DOI
1109
BibRef
Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Tundra Regions, Permafrost Analysis .