Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6349036 | International Journal of Applied Earth Observation and Geoinformation | 2013 | 13 Pages |
Abstract
⺠C-band dual polarization SAR data from Radarsat-2 was used to discriminate and characterize mangrove forests of Sundarbans. ⺠A decision-rule classification involving 1-date cross polarization ratio (XPR) with 3-date HH backscatter was applied. ⺠XPR (range 2-8) and HH backscatter (â11 to â2 dB) performed best to separate mangrove forests from other land cover types. ⺠Textural measures (entropy and angular second moment) produced three broad mangrove classes of homogeneity. ⺠These classes registered spatio-temporal dynamics that corresponded well with the phenology of mangroves.
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Physical Sciences and Engineering
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Authors
Tanumi Kumar, C. Patnaik,