DocumentCode :
410961
Title :
Assessing L-band SAR modes for commercial forest management
Author :
Wallington, Edward D. ; Turner, Dean ; Woodhouse, Iain H. ; Malthus, Tim J. ; Suárez-Mínguez, Juan C.
Author_Institution :
Sch. of GeoSci., Edinburgh Univ., UK
Volume :
4
fYear :
2003
fDate :
21-25 July 2003
Firstpage :
2541
Abstract :
The use of remote sensing in UK forestry has previously been limited to Interpretation of aerial photographs. One new technique which is near commercial realisation is Synthetic Aperture Radar (SAR). Various approaches to using SAR data exist. This paper demonstrates the use of dual-baseline coherence to classify a forested landscape to improve upon a basic backscatter intensity approach, and to give an indication of vegetation density. It is shown that enhancements to the classification are possible, although a few inconsistencies are highlighted. SAR has the capabilities to aid commercial forest management, through complimenting and enhancing current practices, although further research is required to fully quantify the value.
Keywords :
forestry; remote sensing by radar; synthetic aperture radar; vegetation mapping; L-band SAR modes; SAR; UK forestry; aerial photographs; backscatter intensity; commercial forest management; dual baseline coherence; remote sensing; synthetic aperture radar; vegetation density; Backscatter; Forestry; Geography; Geology; Interferometry; L-band; Remote monitoring; Synthetic aperture radar; Vegetation mapping; Water;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
Type :
conf
DOI :
10.1109/IGARSS.2003.1294502
Filename :
1294502
Link To Document :
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