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|Title:||Landcover classification using ERS SAR/INSAR data over tropical areas||Authors:||Stussi, Nicolas
Liew, Soo Chin
Kwoh, Leong Keong
Goh, Kim Chuan
|Issue Date:||1997||Citation:||Stussi, Nicolas,Liew, Soo Chin,Kwoh, Leong Keong,Lim, Hock,Nichol, Janet,Goh, Kim Chuan (1997). Landcover classification using ERS SAR/INSAR data over tropical areas. International Geoscience and Remote Sensing Symposium (IGARSS) 2 : 813-815. ScholarBank@NUS Repository.||Abstract:||In this study, we present a classification method using both optical and SAR data in order to perform landcover classification. First, different relevant parameters are derived from ERS-SAR data using multitemporal and interferometric analysis. Optical data are then used to define a set of training areas in order to perform a supervised classification. The results of classification using these techniques are compared with existing landuse maps and information derived from SPOT and Landsat data. We point out the usefulness of the coherence γtandem component for this application. Moreover, we show that Δγ (difference between γtandem and γ35-day) can give additional useful information for the classification process.||Source Title:||International Geoscience and Remote Sensing Symposium (IGARSS)||URI:||http://scholarbank.nus.edu.sg/handle/10635/112877|
|Appears in Collections:||Staff Publications|
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