12 October 2017 Knowledge-based decision tree approach for mapping spatial distribution of rice crop using C-band synthetic aperture radar-derived information
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J. of Applied Remote Sensing, 11(4), 046003 (2017). doi:10.1117/1.JRS.11.046003
Abstract
Updated and accurate information of rice-growing areas is vital for food security and investigating the environmental impact of rice ecosystems. The intent of this work is to explore the feasibility of dual-polarimetric C-band Radar Imaging Satellite-1 (RISAT-1) data in delineating rice crop fields from other land cover features. A two polarization combination of RISAT-1 backscatter, namely ratio (HH/HV) and difference (HH−HV), significantly enhanced the backscatter difference between rice and nonrice categories. With these inputs, a QUEST decision tree (DT) classifier is successfully employed to extract the spatial distribution of rice crop areas. The results showed the optimal polarization combination to be HH along with HH/HV and HH−HV for rice crop mapping with an accuracy of 88.57%. Results were further compared with a Landsat-8 operational land imager (OLI) optical sensor-derived rice crop map. Spatial agreement of almost 90% was achieved between outputs produced from Landsat-8 OLI and RISAT-1 data. The simplicity of the approach used in this work may serve as an effective tool for rice crop mapping.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Varun Narayan Mishra, Rajendra Prasad, Pradeep Kumar, Prashant K. Srivastava, Praveen Kumar Rai, "Knowledge-based decision tree approach for mapping spatial distribution of rice crop using C-band synthetic aperture radar-derived information," Journal of Applied Remote Sensing 11(4), 046003 (12 October 2017). http://dx.doi.org/10.1117/1.JRS.11.046003 Submission: Received 25 March 2017; Accepted 15 September 2017
Submission: Received 25 March 2017; Accepted 15 September 2017
JOURNAL ARTICLE
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KEYWORDS
Earth observing sensors

Landsat

Backscatter

Polarization

Synthetic aperture radar

Vegetation

Associative arrays

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