文献类型：期刊文献

英文题名：Wheat lodging monitoring using polarimetric index from RADARSAT-2 data

作者：Yang, Hao[1,2] Chen, Erxue[1] Li, Zengyuan[1] Zhao, Chunjiang[2] Yang, Guijun[2] Pignatti, Stefano[3] Casa, Raffaele[4] Zhao, Lei[1]

第一作者：Yang, Hao

通信作者：Li, ZY[1]

机构：[1]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[2]Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China;[3]CNR, Inst Methodol Environm Anal, I-85050 Tito, PZ, Italy;[4]Univ Tuscia, Dept Agr Forests Nat & Energy, I-01100 Viterbo, Italy

年份：2015

卷号：34

期号：1

起止页码：157-166

外文期刊名：INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION

收录：;Scopus(收录号：2-s2.0-84920655148);WOS:【SCI-EXPANDED(收录号:WOS:000343357500016)】；

基金：This work was supported in part by the National Basic Research Program of China (Grant No. 2013CB733404), the National Natural Science Foundation of China (Grant Nos. 41401477, 41101395), and ESA-NRSCC Dragon III Projects (10448). The authors would like to thank for ESA providing PoISARPro software and NEST software.

语种：英文

外文关键词：Wheat lodging; Radarsat-2; Polarimetric feature; Multi-temporal; Monitoring; Disaster

摘要：The feasibility of monitoring lodging of wheat fields by exploiting fully polarimetric C-band radar images has been investigated in this paper. A set of backscattering intensity features and polarimetric features, derived by target decomposition techniques, was extracted from 5 consecutive Radarsat-2 images. The temporal evolutions of these features of lodging wheat fields were investigated as a function of DAS (day after sowing) during the entire growing season. The temporal behavior was compared between typical lodging fields and normal fields in different growing stages. It was found that polarimetric feature from synthetic aperture radar (SAR) data was very sensitive to wheat lodging. Then a method called polarimetric index, availing the sensitivity of polarimetry to the structure, was put forward to monitor wheat lodging. The method was validated by two sets of in situ data collected in Shangkuli Farmland area, Inner Mongolia, China, at heading and ripe stages of spring wheat. Almost all the lodging fields were successfully distinguished from normal fields. Furthermore, the result revealed that the polarimetric index can reflect the intrinsic feature of lodging wheat with good anti-inference ability such as wheat growth difference. While optical sensors relied on its spectral features to monitor crop lodging, the proposed method based on radar data utilized polarimetric features to monitor crop lodging. (C) 2014 Elsevier B.V. All rights reserved.