DocumentCode :
575961
Title :
Interoperability of multi-frequency SAR data for forest information extraction in support of national MRV systems
Author :
Mitchell, A.L. ; Williams, McKay ; Tapley, I. ; Milne, A.K.
Author_Institution :
Cooperative Res. Centre for Spatial Inf. (CRC-SI), Univ. of New South Wales, Kensington, NSW, Australia
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
3166
Lastpage :
3169
Abstract :
Continuity of earth observation data is paramount to operational forest information monitoring in support of national accountability of forest and carbon stocks. Following the loss of ALOS PALSAR in May 2011, the minimum 2 year gap before PALSAR-2 comes online, and the superiority of L-band data for forest monitoring, this paper addresses the issue of interoperability of SAR data through comparison of forest/non-forest, land cover and deforestation derived from independent and combined classifications of PALSAR and RADARSAT-2 data. Forest/non-forest mapping accuracies were highest using PALSAR data alone. The combined use of C- and L-band data resulted in higher forest/non-forest mapping accuracies compared to using C-band data alone. Attributed largely to an increased capacity for penetration of the vegetation canopy and interaction with woody structures, L-band SAR is most suited to forest cover mapping. Without a dense time-series, the separation of cleared or deforested land and regrowth areas is more difficult using C-band alone.
Keywords :
forestry; information retrieval; remote sensing by radar; synthetic aperture radar; terrain mapping; vegetation; vegetation mapping; wood; AD 2011 05; ALOS PALSAR; C-band data; L-band data; PALSAR data classification; PALSAR-2; RADARSAT-2 data classification; carbon stocks; deforestation; earth observation data; forest information extraction; forest information monitoring; forest mapping accuracies; forest monitoring; land cover; multifrequency SAR data; national MRV systems; nonforest mapping accuracies; vegetation canopy; woody structures; Accuracy; Feature extraction; L-band; Monitoring; Noise measurement; Support vector machines; Synthetic aperture radar; deforestation; forest monitoring; interoperability; radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6350752
Filename :
6350752
Link To Document :
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