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Leaf area index (LAI) is one of the surface parameters that has importance in climate, weather, and ecological studies, and has been routinely estimated from remote sensing measurements. Canada-wide LAI maps are now being produced using cloud-free Advanced Very High-Resolution Radiometer (AVHRR) imagery every 10 days at 1-km resolution. The archive of these(More)
In preparation for new satellite sensors, such as VEGEciated with vegetation, and as an input to ecosystem proTATION on SPOT-4 and the MODerate Resolution Imductivity models (Sellers et al., 1986; Bonan, 1993; Liu aging Spectrometer (MODIS), we investigate the potenet al., 1997). The need for LAI information over large tial of the shortwave infrared (SWIR)(More)
Biomass burning releases significant amounts of trace INTRODUCTION gases and smoke aerosol into the atmosphere. This has an Biomass burning causes a wide range of global environimpact on the Earth’s radiation budget, the magnitude of mental impacts (Levine, 1996). Most significantly, vegewhich has not yet been well quantified. Satellite remote tation fires(More)
The radiometric normalization of multi-temporal satellite optical images of the same terrain is necessary for land cover change detection e.g. relative differences. In previous studies, ground reference data or pseudo invariant features (PIFs) were used in the radiometric rectification of multi-temporal images. Ground reference data are costly and difficult(More)
This study presents a comprehensive investigation of Ž res across the Canadian boreal forest zone by means of satellite-based remote sensing. A Ž redetection algorithm was designed to monitor Ž res using daily Advanced Very High Resolution Radiometer (AVHRR) images. It exploits information from multichannelAVHRRmeasurementsto determine the locationsof Ž res(More)
We report the results of a modeling study on the sensitivity of normalized difference vegetation index (NDVI) and surface reflectance to differences in instrument spectral response functions (SRF) for various Advanced Very High Resolution Radiometers (AVHRR) onboard the National Oceanic and Atmospheric Administration’s (NOAA) satellites NOAA-6–16 as well as(More)
In this study, satellite-based remote sensing techniques were developed for identifying smoke from forest fires. Both artificial neural networks (NN) and multithreshold techniques were explored for application with imagery from the Advanced Very High Resolution Radiometer (AVHRR) aboard NOAA satellites. The NN was designed such that it does not only(More)
This paper evaluates annual Ž re maps that were produced from NOAA-14/AVHRR imagery using an algorithm described in a companion paper (Li et al., International Journal of Remote Sensing, 21, 3057–3069, 2000 (this issue)). Burned area masks covering the Canadian boreal forest were created by compositing the daily maps of Ž re hot spots over the summer and by(More)