Shuttle imaging radar A analysis of land use in Amazonia
- 1 January 1988
- journal article
- research article
- Published by Taylor & Francis in International Journal of Remote Sensing
- Vol. 9 (1) , 95-105
- https://doi.org/10.1080/01431168808954839
Abstract
Over large areas in the tropics satellite imagery is the principal source of data on the area, current stature, and extent of disturbance of the forests. The information from imagery that covers large areas at low resolution is greatly enhanced when different types of imagery can be compared. We have made a comparison of data from Landsat MSS and from the Shuttle Imaging Radar (SIR-A) L band HH polarization data for sites in the Amazon Basin. Results indicate that SIR-A backscatter from the undisturbed forest was lower than that from some disturbed areas and from flooded forests and that SIR-A brightness increases nonlinearly with the Landsat normalized difference vegetation index (NDVI). We hypothesize that the brightest radar returns in southern Amazonia are from newly cleared forests that are littered with standing and fallen tree boles that function as corner reflectors; and that backscatter will diminish from disturbed areas over time as fields are burned repeatedly.Keywords
This publication has 10 references indexed in Scilit:
- Determining the rate of forest conversion in Mato Grosso, Brazil, using Landsat MSS and AVHRR dataInternational Journal of Remote Sensing, 1987
- Deforestation in the tropics: New measurements in the Amazon Basin using Landsat and NOAA Advanced Very High Resolution Radiometer imageryJournal of Geophysical Research: Atmospheres, 1987
- Identification of major backscattering sources in trees and shrubs at 10 GHzRemote Sensing of Environment, 1986
- Identifying deforestation in Brazil using multiresolution satellite dataInternational Journal of Remote Sensing, 1986
- North American vegetation patterns observed with the NOAA-7 advanced very high resolution radiometerPlant Ecology, 1985
- Analysis of the phenology of global vegetation using meteorological satellite dataInternational Journal of Remote Sensing, 1985
- Satellite remote sensing of total herbaceous biomass production in the senegalese sahel: 1980–1984Remote Sensing of Environment, 1985
- Intensive forest clearing in Rondonia, Brazil, as detected by satellite remote sensingRemote Sensing of Environment, 1984
- Relating the microwave backscattering coefficient to leaf area indexRemote Sensing of Environment, 1984
- SEASAT synthetic aperture radar (SAR) response to lowland vegetation types in eastern Maryland and VirginiaJournal of Geophysical Research: Oceans, 1983