Spatial and temporal analysis of MODIS and AVHRR images have been carried out to discriminate burned areas from other land covers. Spatial and temporal analysis were performed based on statistical separability and temporal changes. The objective of these analysis was to find out the most sensitive bands for burned land mapping in order to design spectral indices better adapted to the discrimina...

Three satellite fire detection models (threshold, contexburned over 2.7 million ha within Alaska (Table 1). Most of the area burned in Alaska is from wildfires caused by tual, and fuel mask) were compared and evaluated using lightning in remote regions. Because of the remoteness National Oceanographic and Atmospheric Administraand large area of Alaska, a timely and cost-effective tion (NOAA)-11...

Within the MARS Crop Yield Forecasting System (MCYFS; Royer and Genovese, 2004) of the European Commission vegetation indicators like NDVI, SAVI and fAPAR are operationally derived for daily, decadal and monthly time steps. Besides low resolution sensors as SPOT-VGT and NOAA-AVHRR, medium resolution data from TERRA/AQUA-MODIS or ENVISAT-MERIS are used at pan-European level. In case of available...

This paper has the aim of illustrating an automatic and speditive way for retrieving inundation extent from multispectral and multitemporal satellite data, together with land-cover changes caused by flooding events, which is a fundamental issue for managing a reconstruction plan after the event. A straightforward method to map inundated areas was applied in the North-Eastern region of Banglades...

India accounts for the world’s greatest concentration of coal fires which cause several devastating environmental effects. Only Jharia Coal Field (JCF) in Jharkhand (India) contains nearly half of subsurface mine fires (hotspots) in Indian coalfields. Therefore attention is required in this direction for mapping, monitoring and detecting these hotspots. Operational satellite images can be very ...

This work proposes a particular approach to assess information about soil degradation from NOAA/AVHRR data. As erosive processes change physical and chemical properties of the soil, altering, consequently, the superficial color, monitoring the change in color over time can help to identify and analyze those processes. A methodology for the determination of soil color from NOAA/AVHRR data was de...

[1] We investigate the modulation of aerosols by the Madden-Julian Oscillation (MJO) using multiple, global satellite aerosol products: aerosol index (AI) from the Total Ozone Mapping Spectrometer (TOMS) on Nimbus-7, and aerosol optical thickness (AOT) from the Moderate Resolution Imaging Spectroradiometer (MODIS) on Terra and Aqua and the Advanced Very High Resolution Radiometer (AVHRR) on NOA...

The potential of the recent SPOT VEGETATION (VGT) sensor for characterizing boreal forest Ž res was investigated. Its capability for hotspot detection and burned area mapping was assessed by analysing a series of VGT, NOAA/AVHRR, and Landsat TM images over a 1541 km2 Ž re that occurred in May 1998, in Alberta, Canada. VGT’s 1.65mm, short-wave infrared (SWIR) channel was capable of detecting the...

In order to compute cloud coverage statistics over Asian region, an operational scheme for masking cloud-contaminated pixels in Advanced Very High Resolution Radiometer (AVHRR) daytime data was developed, evaluated and presented. Dynamic threshold was used with channel 1, 2 and 3 to automatically create a cloud mask for a single image. Then the 10-day cloud coverage imagery was generated over t...