22.5.11.7 Mangrove Analysis

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.
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

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.[Yuanzhi],
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


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 Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Tundra Regions, Permafrost Analysis .


Last update:Dec 4, 2019 at 17:24:08