|Lakshmi, Venkat - UNIVERSITY OF S. C.|
|Zehrfuhns, Diane - UNIVERSITY OF S. C.|
Submitted to: Geoscience and Remote Sensing Symposium Proceedings
Publication Type: Proceedings
Publication Acceptance Date: September 15, 2000
Publication Date: N/A
Technical Abstract: SGP99 was designed to implement satellite data and remote sensing techniques to accurately estimate soil moisture and temperature. The advantage of using remote sensing techniques versus ground-based measurements is that satellite data have the ability to carry out observations on a variety of spatial and temporal scales. Before satellite data can be used for modeling purposes, we must make sure that remote sensing measurements can be validated by ground-based measurements. Surface temperature and soil moisture changes during a dry-down period show some distinct relationships with different types of vegetation. For instance, this study found a rangeland field and a wheat field warm up at approximately the same rate at all three temperature depths, surface, 1 cm, and 5 cm. It was also observed that a fallow field, by far, has the steepest warming trend of land cover. However, all the fields, even, when considering different types of vegetation, show an increase in surface and subsurface temperature and a decrease in soil moisture during a dry-down period.