An Object-Based Classification of Mangroves Using a Hybrid Decision Tree—Support Vector Machine Approach

Towards automated segmentation of forest inventory polygons on high spatial resolution satellite imagery

(2014) Michael A Wulder et al.   FORESTRY CHRONICLE

Neural Network Classification of Mangrove Species from Multi-seasonal Ikonos Imagery

(2013) Le Wang et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Parameterizing Support Vector Machines for Land Cover Classification

(2013) Xiaojun Yang   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Mangrove species and stand mapping in Gazi bay (Kenya) using quickbird satellite imagery

(2011) G. Neukermans et al.   Journal of Spatial Science

Satellite remote sensing of mangrove forests: Recent advances and future opportunities

(2011) Benjamin W. Heumann   PROGRESS IN PHYSICAL GEOGRAPHY

Hyperspectral remote sensing of salinity stress on red (Rhizophora mangle) and white (Laguncularia racemosa) mangroves on Galapagos Islands

(2011) Conghe Song et al.   Remote Sensing Letters

Remote Sensing of Mangrove Ecosystems: A Review

(2011) Claudia Kuenzer et al.   Remote Sensing

Status and distribution of mangrove forests of the world using earth observation satellite data

(2010) C. Giri et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Object-oriented classification of high-resolution remote sensing imagery based on an improved colour structure code and a support vector machine

(2010) Haitao Li et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Evaluation of Morphological Texture Features for Mangrove Forest Mapping and Species Discrimination Using Multispectral IKONOS Imagery

(2009) Xin Huang et al.   IEEE Geoscience and Remote Sensing Letters

Distinguishing mangrove species with laboratory measurements of hyperspectral leaf reflectance

(2009) Le Wang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Identifying Mangrove Species and Their Surrounding Land Use and Land Cover Classes Using an Object-Oriented Approach with a Lacunarity Spatial Measure

(2008) Soe W. Myint et al.   GIScience & Remote Sensing