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...

The 10-day AVHRR composite image data sets for Asian region have been generated from the daytime AVHRR HPRT data received at Tokyo, Kuroshima, Ulaanbaatar and Bangkok. A Global AVHRR Image Compositing System (GAVICS) developed by Iwate University, Japan, was applied to the image processing. The GAVICS is an automatic processing system that produces single or composite AVHRR data from the raw HP...

This research explores the possibility of using linear mixture model to generate fraction images from 1km time series NOAA AVHRR monthly composite NDVI data. The percentages of forest, grassland and farmland in the pixels are determined by applying the Constrained Least Squares (CLS) method over the study area in the northeast region of China. The validation of the model for AVHRR monthly compo...

This paper presents a comparison of tropical deforestation estimates in AVHRR/NOAA and TM/Landsat images for a region in Central Brazil where large clearings in the forest prevail. A TM scene of 02/Sept/89 in the scale of 1:250,000 was visually interpreted to produce a map with four classes: natural forests, deforested areas, natural savannahs, and rivers. The AVHRR image of 17/Sept/89 with ful...

Abstract The Advanced Very High Resolution Radiometers (AVHRR), which have been flying on National Oceanic and Atmospheric Administration’s (NOAA) polar-orbiting weather satellites since 1978, provide the longest global record of Earth observations from a visible–infrared imager. Experience gained through AVHRRs has integral to development new-generation sensors such as Moderate Imaging Spectro...

Comparing satellite data derived map products are affected by differences in data characteristics, image acquisition dates, processing techniques, and classification schemes used for assigning pixels to a thematic class. By comparing two forest maps generated from Landsat Enhanced Thematic Mapper Plus (ETM+) and Advanced Very High Resolution Radiometer (AVHRR) images acquired on the same day, a...

Automatic registration is one of the key technologies for remote sensing image processing.Considering the influence of cloud points, the phenomenon of uneven distributed control points and other problems in the process of registration for the widely used AVHRR remote sensing images, an automatic registration method for AVHRR remote sensing images is proposed. In this method, the cloud points ar...

The AVHRR compatible vegetation index derived from MERIS full resolution (FR) data is based on top of atmosphere radiances (ESA L2 data). This continuity index is developed using radiative transfer models for simulating the reflectance of the broad spectral channels of the NOAA – AVHRR and the small spectral bands of MERIS. A linear combination of MERIS channels describes each AVHRR channel. Th...

We investigated utilization of Japanese geostationary meteorological satellite, Multi-functional Transport Satellite (MTSAT) data which is able to provide hourly image to a terrestrial monitoring. Firstly, SZA angular effect in reflectance channel was corrected, then algorithms for daily composite were compared. Hourly measurement of MTSAT increased the chance of observing cloud-free land surfa...

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 the Moderate Resolution Imaging Spect...