A Global 9-yr Biophysical Land Surface Dataset from NOAA AVHRR Data

land surface temperature modeling using noaa-avhrr thermal data

the highest temperatures of the world are recorded in dry and warm climates. this can especially be observed in deserts, where vegetations and soil moisture are very low. as a result, the soil surface receives high thermal energy and its temperature rises up. the lut desert has the above characteristics, making it a suitable environment to prepare land surface temperature (lst) models. objectiv...

Characterizing land surface anisotropy from AVHRR data at a global scale using high performance computing

We used the multi-temporal ten-day composite data from the Advanced Very High Resolution Radiometer (AVHRR) for the years 1983 to 1986 to retrieve the Bidirectional Re ectance Distribution Function (BRDF ) using high performance computing techniques. Three diVerent models are used: a simple linear model, a semi-empirical iterative model and a temporal model. The objectives of this study were t...

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

Development of a daily long term record of NOAA-14 AVHRR land surface temperature over Africa

We developed a new 6-year daily, daytime and nighttime, NOAA-14 AVHRR based land surface temperature (LST) dataset over continental Africa for the period 1995 through 2000. The processing chain was developed within the Global Inventory Modeling and Mapping System (GIMMS) at NASA's Goddard Space Flight Center. This paper describes the processing methodology used to convert the Global Area Covera...

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...