Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/112877
Title: Landcover classification using ERS SAR/INSAR data over tropical areas
Authors: Stussi, Nicolas 
Liew, Soo Chin 
Kwoh, Leong Keong 
Lim, Hock 
Nichol, Janet
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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