Title
Feasibility Study of C- and L-band SAR Time Series Data in Tracking Indonesian Plantation and Natural Forest Cover Changes
Abstract
Tropical coverage by Envisat ASAR is sparse in space and time and has limited value for monitoring deforestation. The only available dual-polarized multitemporal dataset over Riau province, Indonesia (nine images in a single year), is used to distinguish and monitor tropical plantations and their dynamics and is compared with annual L-band PALSAR data and land cover maps derived from Landsat data. For the ASAR data, both VV and VH are important in discriminating different types of forest cover; whereas, at L-band, most of the relevant information is in the cross-polarized channel. The ASAR VV (but not the VH) backscatter from acacia plantations is strongly affected by whether the underlying soil is peat or nonpeat, which affects the separability of acacia from oil palm. Maximum likelihood classification of the C-band data gave overall accuracies of 86.2% and kappa coefficient of 0.78 by comparison with land cover maps derived from optical data. This was not improved by combining C- and L-band data. Classification of the C-band time series allows the rotation cycle of acacia plantations to be tracked. The available 4-year annual L-band time series shows potential for monitoring these dynamics, but the 1-year time spacing increases the risk of missing changes masked by the rapid growth of acacia.
Year
DOI
Venue
2015
10.1109/JSTARS.2015.2400439
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of  
Keywords
Field
DocType
forest management,synthetic aperture radar (sar),time series analysis,tropical forest,earth,l band,synthetic aperture radar,vegetation,satellites,backscatter,remote sensing
Time series,Satellite,Peat,L band,Acacia,Remote sensing,Backscatter,Deforestation,Land cover,Mathematics
Journal
Volume
Issue
ISSN
PP
99
1939-1404
Citations 
PageRank 
References 
2
0.44
5
Authors
5
Name
Order
Citations
PageRank
Xichao Dong17620.58
Shaun Quegan213423.25
Yumiko Uryu3171.95
Cheng Hu423542.57
Tao Zeng512025.21