Mangrove Analysis

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Mangroves. Forest.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Jia, M.M.[Ming-Ming], Liu, M.[Mingyue], 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

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

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

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

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

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

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

Wang, D.Z.[De-Zhi], Wan, B.[Bo], Qiu, P.H.[Peng-Hua], Su, Y.[Yanjun], 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

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

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

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

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,
DOI Link 1805

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,
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

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

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

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

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

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,
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,
rivers BibRef

Chakravortty, S.[Somdatta], Choudhury, A.S.[Arpita Saha],
Determining spatial location of sub pixels in hyperspectral data for mangrove species identification,

Mahmudur Rahman, M.,
Time-series Analysis Of Coastal Erosion In The Sundarbans Mangrove,
DOI Link 1209

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

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Last update:Jun 14, 2018 at 16:13:32