Methodology for estimation of soil moisture based on complex processing of ground observation and satellite data
R. Oyun
National Remote Sensing Center,
Ulaanbaatar-11, Mongolia
Abstract
We developed methodology for integral estimation of soil moisture in Mongolia. There is used method of mathematic statistics, digital image processing and solved heat balance equation. The methodology based on geographic information, regular ground and NOAA satellite AVHRR data. the result of this investigation are soil moisture characteristics as well as, climatological value, productive moisture map, regression equation for calculation of digital map, evaporation, and moisture deficit.
1. Introduction
The most territory of Mongolia belongs to the region with insufficient and unstable soil moisture. Existing in Mongolia traditional methods for gathering of soil moisture information, based on contact measurement, using thermostat method, operating at about 50 ground stations now, do not allow to get integral information on spatial distribution of soil moisture over the territory of Mongolia.
Thus the development of operative methods for identification of soil moisture based on of integral approach, using ground observation and remotely sensed data, is a quite actual and urgent problem.
We have put a task to work out methods for determination of soil moisture characteristics and develop a system for operative processing of ground observation and satellite data. The system can implement mapping of soil moisture and it will be one of the components of an environment Monitoring System.
