Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/8553
Title: Phenomenological models for landscape signatures : review and recommendations
Authors: Goddard Space Flight Center.
Los Alamos National Laboratory.
Geotechnical and Structures Laboratory (U.S.)
U.S. Army Study Program Management Office.
Ballard, Jerrell Ray, 1965-
Mason, George L.
Smith, James A.
Balick, Lee K.
Keywords: Atmospheric models
Background models
Geophysical models
Sensor models
Signature models
Soil models
Surface water models
Vegetation models
Mines
Mine detection
Publisher: Environmental Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Series/Report no.: ERDC TR ; 04-2.
Description: Technical Report
Abstract: This report reviews, evaluates, and recommends atmospheric, vegetation and water, and soil models that use physics to aid in understanding the impact that the natural environment has on the sensors that are commonly applied to the mine detection problem (either surface or buried). The report lists important predictive high-resolution atmospheric, vegetation and water, and soil models. Priority models are evaluated to indicate their strengths and weaknesses. The report recommends areas needing further development to fill the gaps in predicting the effects of critical environmental factors on developing mine detection sensors.
URI: http://hdl.handle.net/11681/8553
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