您好,欢迎访问北京市农林科学院 机构知识库!

Agricultural crop harvest progress monitoring by fully polarimetric synthetic aperture radar imagery

文献类型: 外文期刊

作者: Yang, Hao 1 ; Zhao, Chunjiang 1 ; Yang, Guijun 1 ; Li, Zengyuan 2 ; Chen, Erxue 2 ; Yuan, Lin 1 ; Yang, Xiaodong 1 ; Xu, 1 ;

作者机构: 1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

2.Chinese Acad Forestry, Inst Forest Resource Informat Techn, Beijing 100091, Peoples R China

关键词: remote sensing;Radarsat-2;ZY-1 02C multispectral data;Brassica napus L;polarimetric decomposition;time series

期刊名称:JOURNAL OF APPLIED REMOTE SENSING ( 影响因子:1.53; 五年影响因子:1.565 )

ISSN: 1931-3195

年卷期: 2015 年 9 卷

页码:

收录情况: SCI

摘要: Dynamic mapping and monitoring of crop harvest on a large spatial scale will provide critical information for the formulation of optimal harvesting strategies. This study evaluates the feasibility of C-band polarimetric synthetic aperture radar (PolSAR) for monitoring the harvesting progress of oilseed rape (Brassica napus L.) fields. Five multitemporal, quad-pol Radarsat-2 images and one optical ZY-1 02C image were acquired over a farmland area in China during the 2013 growing season. Typical polarimetric signatures were obtained relying on polarimetric decomposition methods. Temporal evolutions of these signatures of harvested fields were compared with the ones of unharvested fields in the context of the entire growing cycle. Significant sensitivity was observed between the specific polarimetric parameters and the harvest status of oilseed rape fields. Based on this sensitivity, a new method that integrates two polarimetric features was devised to detect the harvest status of oilseed rape fields using a single image. The validation results are encouraging even for the harvested fields covered with high residues. This research demonstrates the capability of PolSAR remote sensing in crop harvest monitoring, which is a step toward more complex applications of PolSAR data in precision agriculture.

  • 相关文献

[1]Compact Polarimetric Response of Rape (Brassica napus L.) at C-Band: Analysis and Growth Parameters Inversion. Zhang, Wangfei,Li, Zengyuan,Chen, Erxue,Zhao, Lei,Zhang, Wangfei,Zhang, Yahong,Ji, Yongjie,Yang, Hao. 2017

[2]Temporal Polarimetric Behavior of Oilseed Rape (Brassica napus L.) at C-Band for Early Season Sowing Date Monitoring. Yang, Hao,Li, Zengyuan,Chen, Erxue,Feng, Qi,Yang, Hao,Zhao, Chunjiang,Yang, Guijun,Casa, Raffaele,Pignatti, Stefano. 2014

[3]Potential of Fully Polarimetric SAR Data for Crops Biophysical Parameters Retrieval. Yang, Hao,Yang, Xiaodong,Xu, Xingang,Gao, Zhongling,Li, Cunjun,Wang, Jihua,Zhao, Chunjiang. 2012

[4]Monitoring of Rapid Urban Sprawl in Beijing with Time Series Remote Sensing Data and Analysis of Driving Forces. Zhao, Jinling,Yang, Yao,Zhang, Dongyan,Huang, Linsheng. 2013

[5]基于改进水云模型和Radarsat-2数据的农田土壤含水量估算. 杨贵军,岳继博,李长春,冯海宽,杨浩,兰玉彬. 2016

[6]RADARSAT-2全极化SAR数据地表覆盖分类. 程千,王崇倡,张继超. 2015

[7]Wheat lodging monitoring using polarimetric index from RADARSAT-2 data. Yang, Hao,Chen, Erxue,Li, Zengyuan,Zhao, Lei,Yang, Hao,Zhao, Chunjiang,Yang, Guijun,Pignatti, Stefano,Casa, Raffaele. 2015

[8]Estimation of Soil Moisture from Multi-Polarized Synthetic Aperture Radar Data-A Case Examination on RADARSAT-2 Product Over Wheat Growing Areas. Yang, Guijun,Shi, Yuechan,Xu, Qingyun,Yang, Guijun,Yang, Guijun.

[9]SOIL MOISTURE RETRIEVAL IN WELL COVERED FARMLAND BY RADARSAT-2 SAR DATA. Yue, Jibo,Qi, Xiudong,Wang, Yanjie,Yue, Jibo,Yang, Guijun. 2016

[10]Application of SARIMA Model in Cucumber Price Forecast. Changshou Luo,Liying Zhou,Qingfeng Wei. 2013

[11]Evaluating and Classifying Field-Scale Soil Nutrient Status in Beijing using 3S Technology. Xue, Yong-An,Huang, Lin-Sheng,Zhang, Dong-Yan,Zhao, Jin-Ling,Yang, Hao. 2012

[12]Integrating Remotely Sensed and Meteorological Observations to Forecast Wheat Powdery Mildew at a Regional Scale. Zhang, Jingcheng,Nie, Chenwei,Yang, Guijun,Pu, Ruiliang,Yuan, Lin,Huang, Wenjiang. 2014

[13]Development of a web temporal-spatial information application for main crops based on integration of remote sensing and crop model. Yang Xiaodong,Xu Xingang,Gu Xiaohe,Yang Hao,Yu Haiyang,Yang Fuzeng. 2014

[14]Survey of Support Vector Machine in the Processing of Remote Sensing Image. Li, Su,Wang, Wenchao. 2013

[15]Quick image processing method of HJ satellites applied in agriculture monitoring. Yu Haiyang,Liu Yanmei,Yang Guijun,Yang Xiaodong,Yu Haiyang,Liu Yanmei,Yang Guijun,Yang Xiaodong. 2016

[16]Satellite Observations on Agricultural Adaptation to Drought in Southwestern China. Dong, Yansheng,Li, Cunjun,Chen, Hongping. 2012

[17]Spatial decision supporting for winter wheat irrigation and fertilizer optimizing in North China Plain. Yang Xiaodong,Yang Hao,Dong Yansheng,Yu Haiyang. 2014

[18]EVALUATION OF ARABLE LAND YIELD POTENTIAL THROUGH REMOTE SENSING MONITORING. Song Xiaoyu,Gu Xiaohe,Chang Hong. 2014

[19]Design and implementation of remote sensing extraction system of rural circulation land. Peng Cheng,Wu Hua-rui,Zhu Hua-ji. 2014

[20]Assessing the Soil Fertility using Landsat TM Imagery and Geospatial Statistical Analysis. Zhao, Jinling,Wang, Dacheng,Zhang, Dongyan,Luo, Juhua,Huang, Wenjiang. 2012

作者其他论文 更多>>