Image acquired by the VENµS satellite, 2018, over the Zin Valley, Negev Desert, Israel


The Remote Sensing Laboratory research subjects and activities are:

Soil and Vegetation in Semi-Arid Environments

Spectral characteristics of biogenic soil crusts can be similar to those of higher plants, especially when the crusts are wet. Therefore, in semi-arid environments, the reflectance of lower plant communities may lead to misinterpretation of the vegetation dynamics and overestimation of ecosystem productivity.

Marine applications of remote sensing

Remote detection of water leaving radiance is quantitatively related to three marine constituents, which exist in the water column – chlorophyll (CHL); suspended matter (SM) such as sediments; and colored dissolved organic matter (CDOM), also known as Gelbstoff. The variation of the volume reflectance of these constituents is rather complicated.

Spectral characteristics of lichens affected by air pollution

Lichens are sensitive in varying degrees to man-induced pollutants such as sulphur dioxide. This fact is widely used as an indicator of air quality.

Land Surface Temperature, Thermal Applications

Thermal anomaly across the Israel-Egypt political border was observed in satellite images. This anomaly was explained by the different properties of the sand dunes of both sides of the border. While the Israeli side is covered by biogenic soil crust, the Egyptian side is characterized by bare sands.

Vicarious calibration of air- and space-borne sensors

The Negev Desert (Israel) is of considerable interest in calibrating/validating of satellites’ data for many scientists around the world.

Interactions between the solar radiation and the ground

The Bidirectional Reflectance Distribution Function (BRDF) describes the directional dependence of the reflected energy of a target as a function of illumination and viewing geometries.

Desert Aerosols


Geological applications using radar imagery


Precision agricultureDesert Aerosols

Precision agriculture or site specific management consider agricultural activities in variety of scales smaller than the field scale all the way down to specific plants.

Geographic information systems (GIS), mapping, and geostatistics


Information extraction and automatic detection