The registration of NOAA - AVHRR and ground truth data
R. Oyun, M. Bayasgalan, Sh. Munkhtuya, M. Enkhbayar
National Remote Sensing Center, Mongolia
Abstract
Here is shown a possibility to regist NOAA-AVHRR and regular meteorolocial data and to extract spatial environment information with help of combined method for remotely sensed and ground truth data. In this case we analyse various natural resource data like soil, vegetation, landscape maps and surface physical parameters as spectral albedo, integral temperature over ground observation stations surrounding area and ground measurement data as vegetation height, biomass and surface temperature. On the base of this analyse we classified ground meteorological observation stations into 2 classes due to their data correspondence to spatially distributed satellite data.
1. Introduction
Dynamic monitoring of the natural environment using regular remote sensing data required also regular ground truth data, some of them might be provided by meteorological station network. From several years' application of NOAA-AVHRR data in Mongolia for surface parameter estimation, it is known, the important and necessary role of the correct and accurate registration of ground and satellite data, because firstly, they have different spatial and time scale, secondly, geometric transformation of AVHRR data to the geographic map rejection has some error, thirdly, most meteorological station is in or near to the populated area, therefore in some cases the measured data characterize more urban area than surrounding natural environment.
In this paper we present some result of analysis of Mongolian meteorological station surrounding environment, using landscape, relief, vegetation and soil type and different environment ground stations' data correlation to radiance temperature, vegetation index, derived from AVHRR data.
