NOAA-AVHRR data processing for the mapping of vegetation cover

Cross Comparison of Spot-4 Vegetation and Noaa-14 Avhrr

Spectral vegetation indices obtained from satellite sensors have been used to measure and monitor the Earth’s vegetative cover from local, regional, to global scales. The normalized difference vegetation index (NDVI) has been the most widely-used index and shown to correlate with green leaf area index, green biomass, and net primary productivity. The NDVI from the two sensors, National Oceanic ...

Cover Early detection system of drought in East Asia using NDVI from NOAA/AVHRR data

1. Introduction Drought causes damage to agricultural production and affects the balance of food supply and demand. As Obasi (1994) mentioned, droughts had affected 50% of 2.8 billion people who suffered from weather-related disasters. Moreover, 1.3 million people have died due to the direct and indirect cause of drought during 1967–91. East and South East Asia has the largest population in the...

Land Cover Characterization Using Multitemporal Red, Near-ir, and Thermal-ir Data from Noaa/avhrr

Burned land mapping using NOAA-AVHRR and TERRA-MODIS

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...

An Integrated Approach to Wildland Fire Mapping of California, USA Using NOAA/AVHRR Data

To map wildland fires for emission estimation in California, this paper presents an integrated approach to wildfire mapping using daily data of the Advanced Very High Resolution Radiometer (AVHRR) on board a National Oceanic and Atmospheric Administration’s (NOAA) satellite. The approach consists of two parts: active fire detection and burnt area mapping. In active fire detection, we combined t...