Mapping land cover types in Amazon basin using 1 km JERS-1 mosaic
Summary (1 min read)
Summary
- The 100 meter JERS-I Amazon mosaic image was used in a new classifier to generate a 1 km resolution land cover map.
- The inputs to the classifier were lkm resolution mean backscatter and seven first order texture measures derived from the 100 m data by using a 10 x 10 independent sampling window.
- The classification approach included two interdependent stages: 1) a supervised maximum a posteriori Baysian approach to classify the mean backscatter image into 5 general land cover catagories of forest, savanna, inundated, white sand, and anthropogenic vegetation classes, and 2) a texture measure decision rule approach to further discriminate subcatagory classes based on taxonimc information and biomass levels.
- Fourteen classes were successfully separated at lkm scale.
- The results were verified by examining the accuracy of the approach by comparison with the IBGE and the AVHRR 1 km resolution land.
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Cites methods from "Mapping land cover types in Amazon ..."
...Certain theoretical aspects of the classifier and the methodology are described in detail elsewhere (Saatchi et al. 1997; 2000)....
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...In future analysis, the radar data from the Japanese Earth Resources Satellite ( JERS-1) and RADARSAT will be used to map forest fragments of the entire coastal region of southern Bahia (Saatchi et al. 2000)....
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Cites background from "Mapping land cover types in Amazon ..."
...…the textural properties contained in the SAR images appear to carry useful information for discrimination purposes, several textural features have been extracted from the images and their usefulness for discriminating between diVerent kinds of image data has been investigated (Saatchi et al. 2000)....
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...Recently, Saatchi et al. (2000) demonstrated the role of rstorder texture in classifying the JERS-1 mosaic over the Amazon basin at a 1 km scale....
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...Young secondary forests with an above-ground biomass exceeding 100 tons ha Õ 1 are clearly distinguishable in JERS-1 data by their lower backscatter and texture information (Saatchi et al. 2000)....
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...In a recent study by Saatchi et al. (2000), several categories of ooded vegetation were classi ed by using the texture information....
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...The easiest classi cation for the savanna vegetation is often done based on the amount of woody biomass (Veloso et al. 1991, Saatchi et al. 2000, Prance 1979)....
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References
1,574 citations
"Mapping land cover types in Amazon ..." refers methods in this paper
...High resolution (30 m) Landsat Thematic Mapper (TM) data has been the primary source for estimating the rate of deforestation by INPE (Instituto Nacional de Pesquisas Espaciais) and the Landsat Pathfinder Program (Skole and Tucker, 1993; Justice and Townshend, 1994)....
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