详细信息
Temporal polarimetric behavior of oilseed rape (Brassica napus L.) at c-band for early season sowing date monitoring ( EI收录) 被引量:48
文献类型:期刊文献
英文题名:Temporal polarimetric behavior of oilseed rape (Brassica napus L.) at c-band for early season sowing date monitoring
作者:Yang, Hao[1,2] Li, Zengyuan[1] Chen, Erxue[1] Zhao, Chunjiang[2] Yang, Guijun[2] Casa, Raffaele[3] Pignatti, Stefano[4] Feng, Qi[1]
第一作者:Yang, Hao
通信作者:Chen, Erxue
机构:[1] Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, 100091, China; [2] Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China; [3] Department of Agriculture, Forests, Nature and Energy [DAFNE], Universita' della Tuscia, Viterbo, 01100, Italy; [4] Institute of Methodologies for Environmental Analysis, Consiglio Nazionale delle Ricerche, Tito Scalo [PZ], 85050, Italy
年份:2014
卷号:6
期号:11
起止页码:10375-10394
外文期刊名:Remote Sensing
收录:EI(收录号:20144900279765)
语种:英文
外文关键词:Monitoring - Oilseeds - Crops - Polarimeters - Plants (botany)
摘要:Spatial monitoring of the sowing date plays an important role in crop yield estimation at the regional scale. The feasibility of using polarimetric synthetic aperture radar (SAR) data for early season monitoring of the sowing dates of oilseed rape (Brassica napus L.) fields is explored in this paper. Polarimetric SAR responses of six parameters, relying on polarization decomposition methods, were investigated as a function of days after sowing (DAS) during the entire growing season, by means of five consecutive Radarsat-2 images. A near-continuous temporal evolution of these parameters was observed, based on 88 oilseed rape fields. It provided a solid basis for determining the suitable temporal window and the best polarimetric parameters for sowing date monitoring. A high sensitivity of all polarimetric parameters to the DAS at different growing stages was shown. Simple linear models could be calibrated to estimate sowing dates at early growth stages and were validated on an independent data set. Although Volume and Span parameters provided the highest sowing date estimation accuracy at the earlier growth stages, the other four parameters (Volume/Total, Odd/Total, Entropy and Alpha) were more accurate for a wider temporal window. These results demonstrate the capability and high potential of polarimetric SAR data for monitoring the sowing date of crops in the early season. ? 2014 by the authors.
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