Pol R. Coppin

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Absfrucf-Digital procedures to optimize the information content of multitemporal Landsat TM data sets for forest cover change detection are described. Imagery from three different years (1984,1986, and 1990) were calibrated to exoatmospheric reflectance to minimize sensor calibration offsets and standardize data acquisition aspects. Geometric rectification(More)
A hybrid segmentation procedure to integrate contexcompared to traditional per-pixel maximum likelihood classification results. Elsevier Science Inc., 2000 tual information with per-pixel classification in a metropolitan area land cover classification project is described and evaluated. It is presented as a flexible tool within a INTRODUCTION commercially(More)
This paper evaluated the capacity of SPOT VEGETATION time-series to monitor herbaceous fuel moisture content (FMC) in order to improve fire risk assessment in the savanna ecosystem of Kruger National Park in South Africa. In situ herbaceous FMC data were used to assess the Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index(More)
This paper evaluated the capacity of SPOT VEGETATION time-series to monitor the vegetation biomass and water content in order to improve fire risk assessment in the savanna ecosystem of Kruger National Park in South Africa. First, the single date and integrated vegetation index approach, which quantify the amount of herbaceous biomass at the end of the rain(More)
The world's forest ecosystems are in a state of permanent flux at a variety of spatial and temporal scales. Monitoring techniques based on multispectral satellite-acquired data have demonstrated potential as a means to detect, identify, and map changes in forest cover. This paper, which reviews the methods and the results of digital change detection(More)
Carbon emission and fixation fluxes are key variables to guide climate change stakeholders on the use of remediation techniques. To develop Kyoto Protocol support tools, a sound application perspective is offered by expert systems based on earth observation (EO). This allows estimates of vegetation carbon fixation using a minimum of meteorological data. The(More)
Soil moisture variations dominate the spectral reflectance of soils in the 350–2500 nm wavelength domain and affect the effectiveness of spectral indices used to monitor variations in soil and vegetation properties. Removing soil moisture effects in spectral images is critical for agricultural remote sensing. A soil moisture reflectance model is(More)
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