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