Measuring soil moisture with imaging radars

An empirical algorithm for the retrieval of soil moisture content and surface root mean square (RMS) height from remotely sensed radar data was developed using scatterometer data. The algorithm is optimized for bare surfaces and requires two copolarized channels at a frequency between 1.5 and 11 GHz...

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Veröffentlicht in:	IEEE Transactions on Geoscience and Remote Sensing 1995-07, Vol.33 (4), p.915-926
Hauptverfasser:	Dubois, P.C., van Zyl, J., Engman, T.
Format:	Artikel
Sprache:	eng
Schlagworte:	AERIAL SURVEYING ALGORITHMS CLIMATIC CHANGE Content based retrieval ENVIRONMENTAL SCIENCES GEOSCIENCES IMAGE PROCESSING Information retrieval MOISTURE Moisture measurement Radar imaging Radar measurements Radar remote sensing REMOTE SENSING SENSITIVITY Soil measurements Soil moisture SOILS Spaceborne radar Vegetation mapping
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