Abstract
Abstract. This paper uses RADARSAT-2 quad Polarimetric Synthetic Aperture Radar (PolSAR) and TerraSAR-X dual polarimetric SAR data to monitor agriculture crop growth stages. Two RADARSAT-2 Fine Quad Wide (FQW) beam modes FQ2W and FQ10W, each with 5 sets of data and 13 sets of Stripmap TerraSAR-X data were used in the study. Both RADARSAT-2 POLSAR data and TerraSARX data were acquired in summer 2012 outside Winnipeg, Manitoba, Canada. The study was carried out to two crop types: canola and wheat, each contains 5 regions of interest from ground truth crop classification map in the image scene. Polarimetric features such as differential reflectivity bands ratio, entropy, anisotropy, alpha angle, lambda, scattering diversity and polarization index were evaluated for two crop types. The results from both RADARSAT-2 and TerraSAR-X data were compared and they demonstrated clear relationships between crop growth stages and polarimetric parameters. It is observed that entropy, lambda and differential reflectivity from both data have similar responses to crop growth stages in their common coverage period. The results were also validated using ground truth information.
Highlights
Using multiple satellites such as RADARSAT-2 and TerraSARX POLSAR data to accurately estimate crop growth stages is an important agriculture application
The preliminary study in this paper is to demonstrate that by incorporating multi-sensor information, such as RADARSAT-2 and TERRASAR-X data, and considering many more polarimetric parameters, accurate crop stage classification and identification can be achieved
Various polarization parameters will be calculated for both RADARSAT-2 and TerraSAR-X data in this paper to find out the their responses to the crop stage changing
Summary
Using multiple satellites such as RADARSAT-2 and TerraSARX POLSAR data to accurately estimate crop growth stages is an important agriculture application. This can enable growers to proactively prevent disease, increase yields, and enhance longterm planning. There is high potential to maximize the use of satellite data to acquire comprehensive crop information quickly, automatically, and with high accuracy, to better manage large areas. PolSAR data utilization for crop management applications has limited researches on crop growth stage estimation [Cloutis2010, McNairn2004, McNairn2014]. Agriculture and Agri-Food Canada and other organizations have conducted preliminary research in this area using RADARSAT-2 and TerraSAR-X data to examine crop conditions in the Soil Moisture Active Passive mission Validation Experiment 2012 (SMAPVEX12) campaign in summer 2012, Manitoba, Canada. The preliminary study in this paper is to demonstrate that by incorporating multi-sensor information, such as RADARSAT-2 and TERRASAR-X data, and considering many more polarimetric parameters, accurate crop stage classification and identification can be achieved
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