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.[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
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
Guo, X.X.[Xian-Xian],
Wang, L.[Le],
Tian, J.Y.[Jin-Yan],
Yin, D.M.[Da-Meng],
Shi, C.[Chen],
Nie, S.[Sheng],
Vegetation Horizontal Occlusion Index (VHOI) from TLS and UAV Image
to Better Measure Mangrove LAI,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link
1812
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.[Hongsheng],
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
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 Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Tundra Regions, Permafrost Analysis .