Remote Sensing and SVAT Models

Objectives

Surface chracteristics such as soil moisture, vegetation, and temperature and the interactions between them are of critical importance to any models seeking to simulate hydrologic and climatological processes. The remote sensing instruments to be carried by the EOS platforms and related spacecraft will return information about the temporal and spatial variations of these characteristics at resolutions not obtainable from ground-based observations. Since the response of a given remote sensing channel is typically determined by a complex combination of atmospheric and surface factors, extensive further research is needed to learn how best to combine the data from different instruments and channels, and to determine the accuracies with which surface physical properties can be determined under various combinations of conditions.

Because soil water content and energy fluxes are key parameters in several of the linked models for SRBEX, we are focussing on evaluating, and trying to enhance, techniques for extracting these parameters from the data returned by several remote sensing instruments in the context of soil-vegetation-atmosphere transfer (SVAT) models.

Current Activities

Current activities use data from two types of sensors: thermal infrared (IR) radiation used in combination with NDVI (numerical differential vegetaion indices) derived from visible and reflective infrared data, and synthetic aperature radar (SAR).

Scattergrams of NDVI against the apparent surface temperature derived from thermal IR for partially vegetated regions permit extraction of a value which is a measure of soil surface water content (Carlson et al., 1994). Attemps to compare measured soil water (SW) profiles with SW derived from various types of remote sensing, however, have raised significant questions as to exactly which layers of the soil contribute to the radiation measured by various remote sensing instruments (Carlson et al, 1995). A collaborative effort with members of the Beltsville, MD office of the USDA/ARS (Agricultural Research Service) has been initiated to use available field measurements of SW profiles, including those from Walnut Gulch, AZ and the planned Little Washita field program in Oklahoma, to further address this problem. An existing soil hydrology model is also being modified to permit more precise modeling of SW in thin soil layers near the surface.

The SAR effort is focussing on the Mahantango Creek Watershed, for which the NASA/JPL AIRSAR instrument collected backscatter data as part of the MACHYDRO 1990 mission. The study area is relatively hilly, with contour plowing methods used for most row crops. Existing software from NASA sources has been implemented on local computers.

Exploratory data analysis has revealed significant differences in backscatter between landcover types for all frequencies and like polarizations as well as between wet and dry conditions for soils under like cover types. It is apparent, however, that corrections for terrain slope and aspect are of major importance. To investigate topographic effects in greater detail, we are currently assembling higher resolution digital elevation data and additional software, and seeking additional SAR data.

Achievements

The Penn State thermal IR team collaborated with the French agencies CETP and CEMAGREF to sponsor a workshop focusing on the problems and approaches in using multispectral measurements to infer the surface energy fluxes and soil water content, held September 20-23, 1993 in La Londe les Maures, France.


Last change: 8 May 1995, R. A. White / raw@essc.psu.edu