A Methodology to Support the Analysis of Environmental Degradation Using Noaa Avhrr Data
نویسندگان
چکیده
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 devised, based on a theoretical model that establishes the relationship among the soil color, described in the Munsell Color System, vegetation indices, surface temperature and emissivity. The test area of the methodology was the Upper Taquari Basin, in the central region of Brazil, where the lack of land use planning and soil conservation practices have been causing severe erosion and siltation of the water bodies, increasing the spatial and temporal significance of flood events over the Brazilian Pantanal region. The tests showed that the methodology was efficient in determining soil color using the NDVI, MSAVI and PAVI vegetation indices. Best results were obtained for the hue color component. To further test the methodology, the calculated digital color models were compared with the characteristic color of soil classes in the Upper Taquari Basin.
منابع مشابه
An analysis of drought events for central plains of Iran through an employment of NOAA-AVHRR data
Drought is a major problematic phenomenon for the mostly semi-arid country of Iran. The north centralregions of Iran (north of Esfahan and Ghom province) have suffered from severe droughts several times duringthe last three decades. The frequent occurrence of drought in these regions is due to low and inconsistentprecipitation, abnormally high temperatures, increases in surface albedo and evapo...
متن کاملTrends and uncertainties in thermal calibration of AVHRR radiometers onboard NOAA-9 to NOAA-16
[1] Satellite measurements from the infrared (IR) channels of the Advanced Very High Resolution Radiometer (AVHRR)/NOAA have been used to derive many important atmospheric, cloud, and surface parameters for weather prediction, climate modelling, and a variety of environmental studies. Calibration accuracy of the satellite data directly affects accuracies of the derived parameters. So far, very ...
متن کاملMonitoring Meteorological Drought in Iran Using Remote Sensing and Drought Indices
Drought is a major environmental disaster in many parts of the world. Knowledge about the timing, severity and extentof drought can aid planning and decision-making. Drought indices derived from in-situ meteorological data have coarsespatial and temporal resolutions, thus, obtaining a real-time drought condition over a large area is difficult. This studyused advanced very high resolution radiom...
متن کاملReduction of the Long-Term Inaccuracy from the AVHRR-Based NDVI Data
—This paper investigated the normalized difference vegetation index (NDVI) stability in the NOAA/NESDIS Global Vegetation Index (GVI) data during 1982-2003, which was collected from five NOAA series satellites. An empirical distribution function (EDF) was developed to eliminate the long-term inaccuracy of the NDVI data derived from the AVHRR sensor on NOAA polar orbiting satellite. The instabi...
متن کاملIn-flight interband calibration on AVHRR data by a cloud-viewing technique
A significant degradation in the responsivity of the AVHRR radiometers aboard the NOAA satellite series, affects the index vegetation (NDVI), which is an important source of information for monitoring vegetation conditions on regional and global scales. Many studies have been carried out which use the viewing Earth calibration approach in order to provide accurate calibration correction coeffic...
متن کامل