Mangrove Species Identification: Comparing WorldView-2 with Aerial Photographs

Keywords

Mangrove, Remote sensing, Aerial image, Support vector machine, Aerial photography

References

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• Hyperspectral Data for Mangrove Species Mapping: A Comparison of Pixel-Based and Object-Based ApproachMuhammad Kamal, Stuart Phinn — 2011
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• Zonation and seasonality of benthic primary production and community respiration in tropical mangrove forestsDaniel M. Alongi — 1994
• Support vector machinesAlessia Mammone, Marco Turchi, Nello Cristianini — 2008
• Satellite remote sensing of mangrove forests: Recent advances and future opportunitiesBenjamin W. Heumann — 2011
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• Allometry, biomass, and productivity of mangrove forests: A reviewAkira Komiyama, Jin Eong Ong, Sasitorn Poungparn — 2008
• Super-resolution land cover pattern prediction using a Hopfield neural networkAndrew J. Tatem — 2002

Cited by

• Mangrove tree crown delineation from high-resolution imageryMuditha K. Heenkenda, Karen E. Joyce, Stefan Maier — 2015
• Evaluation of Polarimetric SAR Decomposition for Classifying Wetland Vegetation TypesSang-Hoon Hong, Hyun Ok Kim, Shimon Wdowinski — 2015
• Assessing the effects of increased summer flooding in an impounded mangrove with the use of remote sensingMaartje Oostdijk — 2015
• Object-Based Approach for Multi-Scale Mangrove Composition Mapping Using Multi-Resolution Image DatasetsMuhammad Kamal, Stuart Phinn, Kasper Johansen — 2015
• Mapping and Characterizing Selected Canopy Tree Species at the Angkor World Heritage Site in Cambodia Using Aerial DataMinerva Singh, Damian Evans, Boun Suy Tan — 2015
• Retrieval of Mangrove Aboveground Biomass at the Individual Species Level with WorldView-2 ImagesYuanhui Zhu, Kai Liu, Lin Liu — 2015
• Semi-Automated Object-Based Classification of Coral Reef Habitat using Discrete Choice ModelsSteven Saul, Sam J. Purkis — 2015
• Quantifying mangrove chlorophyll from high spatial resolution imageryMuditha K. Heenkenda, Karen E. Joyce, Stefan Maier — 2015
• Assessing the potential of multi-seasonal WorldView-2 imagery for mapping West African agroforestry tree speciesMartin Karlson, Madelene Ostwald, Heather Reese — 2016
• Remote-Sensed Mapping of Sargassum spp. Distribution around Rottnest Island, Western Australia, Using High-Spatial Resolution WorldView-2 Satellite DataHoàng Công Tín, Michael O’Leary, Ravi Fotedar — 2016
• Textural-Spectral Feature-Based Species Classification of Mangroves in Mai Po Nature Reserve from Worldview-3 ImageryTing Wang, Hongsheng Zhang, Hui Lin — 2015
• Identification and Mapping of Marine Submerged Aquatic Vegetation in Shallow Coastal Waters with WorldView-2 Satellite DataHoàng Công Tín, Rodrigo Garcia, Michael O’Leary — 2016
• The relationship between satellite-derived indices and species diversity across African savanna ecosystemsRatidzo Blessing Mapfumo, Amon Murwira, Mhosisi Masocha — 2016
• Estimating Mangrove Biophysical Variables Using WorldView-2 Satellite Data: Rapid Creek, Northern Territory, AustraliaMuditha K. Heenkenda, Stefan Maier, Karen E. Joyce — 2016
• A study of the potential of using worldview-2 of images for the detection of red attack pine treeHongzhi Wu — 2016
• Spectral-spatial information extraction and classification of mangrove species using joint sparse representationJie Geng, Jianchao Fan, Xiu Su — 2015
• Seasonality and nutrient-uptake capacity of Sargassum spp. in Western AustraliaT. Cong — 2016
• Mapping Mangrove Density from Rapideye Data in Central AmericaNguyễn Thanh Sơn, Chi-Farn Chen, Cheng-Ru Chen — 2017
• Mapping mangrove forests using multi-tidal remotely-sensed data and a decision-tree-based procedureXuehong Zhang, Paul Treitz, Dongmei Chen — 2017
• Monitoring mangrove forests: Are we taking full advantage of technology?Nicolás Younes Cárdenas, Karen E. Joyce, Stefan Maier — 2017

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