Mapping Plastic-Mulched Farmland with C-Band Full Polarization SAR Remote Sensing Data

文献类型： 外文期刊

第一作者： Hasituya

作者： Hasituya;Li, Fei;Hongmei;Hasituya;Li, Fei;Hongmei;Hasituya;Li, Fei;Hongmei;Chen, Zhongxin;Chen, Zhongxin

作者机构：

关键词： plastic-mulched farmland;mapping;Radarsat-2 data;backscattering intensity;polarimetric decomposition;machine learning algorithm

期刊名称：REMOTE SENSING （ 影响因子：4.848； 五年影响因子：5.353 ）

ISSN： 2072-4292

年卷期： 2017 年 9 卷 12 期

页码：

收录情况： SCI

摘要： Plastic mulching is an important technology in agricultural production both in China and the rest of the world. In spite of its benefit of increasing crop yields, the booming expansion of the plastic mulching area has been changing the landscape patterns and affecting the environment. Accurate and effective mapping of Plastic-Mulched Farmland (PMF) can provide useful information for leveraging its advantages and disadvantages. However, mapping the PMF with remote sensing is still challenging owing to its varying spectral characteristics with the crop growth and geographic spatial division. In this paper, we investigated the potential of Radarsat-2 data for mapping PMF. We obtained the backscattering intensity of different polarizations and multiple polarimetric decomposition descriptors. These remotely-sensed information was used as input features for Random Forest (RF) and Support Vector Machine (SVM) classifiers. The results indicated that the features from Radarsat-2 data have great potential for mapping PMF. The overall accuracies of PMF mapping with Radarsat-2 data were close to 75%. Although the classification accuracy with the back-scattering intensity information alone was relatively lower owing to the inherent speckle noise in SAR data, it has been improved significantly by introducing the polarimetric decomposition descriptors. The accuracy was nearly 75%. In addition, the features derived from the Entropy/Anisotropy/Alpha (H/A/Alpha) polarimetric decomposition, such as Alpha, entropy, and so on, made a greater contribution to PMF mapping than the Freeman decomposition, Krogager decomposition and the Yamaguchi4 decomposition. The performances of different classifiers were also compared. In this study, the RF classifier performed better than the SVM classifier. However, it is expected that the classification accuracy of PMF with SAR remote sensing data can be improved by combining SAR remote sensing data with optical remote sensing data.

分类号：

  • 相关文献

[1]Estimation of Winter Wheat Leaf Nitrogen Accumulation using Machine Learning Algorithm and Visible Spectral. Cui Ri-xian,Liu Ya-dong,Fu Jin-dong. 2016

[2]Monitoring Plastic-Mulched Farmland by Landsat-8 OLI Imagery Using Spectral and Textural Features. Hasituya,Chen, Zhongxin,Wang, Limin,Wu, Wenbin,Li, He,Jiang, Zhiwei. 2016

[3]Monitoring Plastic-Mulched Farmland Using Landsat-8 OLI Imagery. Hasituya,Chen Zhong-xin,Wu Wen-bin,Qing Huang,Hasituya,Chen Zhong-xin,Wu Wen-bin,Qing Huang. 2015

[4]Agricultural crop harvest progress monitoring by fully polarimetric synthetic aperture radar imagery. Yang, Hao,Zhao, Chunjiang,Yang, Guijun,Yuan, Lin,Yang, Xiaodong,Xu, Xingang,Yang, Hao,Li, Zengyuan,Chen, Erxue. 2015

[5]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

[6]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

[7]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

[8]The soil heavy metal content mapping based on Sandwich Model. Li, Xiaolan,Gao, Yunbing,Xie, Xiaoming,Gao, Bingbo,Pan, Yuchun. 2016

[9]Molecular mapping of gene Gm-6(t) which confers resistance against four biotypes of Asian rice gall midge in China. Katiyar, SK,Tan, Y,Huang, B,Chandel, G,Xu, Y,Zhang, Y,Xie, Z,Bennett, J. 2001

[10]High-density genetic map construction and gene mapping of pericarp color in wax gourd using specific-locus amplified fragment (SLAF) sequencing. Jiang, Biao,Liu, Wenrui,Xie, Dasen,Peng, Qingwu,He, Xiaoming,Lin, Yu'e,Liang, Zhaojun,Jiang, Biao,Liu, Wenrui,Xie, Dasen,He, Xiaoming. 2015

[11]Linkage analysis of a fertility restoring mutant generated from CMS rice. Shen, YW,Guan, ZQ,Lu, J,Zhuang, JY,Zheng, KL,Gao, MW,Wang, XM. 1998

[12]SCAR and RAPD markers associated with 18-carbon fatty acids in rapeseed, Brassica napus. Hu, J,Li, G,Struss, D,Quiros, CF. 1999

[13]Mapping of qGL7-2, a grain length QTL on chromosome 7 of rice. Shao, Gaoneng,Tang, Shaoqing,Luo, Ju,Jiao, Guiai,Wei, Xiangjin,Tang, Ao,Wu, Jianli,Zhuang, Jieyun,Hu, Peisong. 2010

[14]Mapping farmland organic matter using HSI image and its effects of land-use types. Gu Xiaohe,Dong Yansheng,Wang Kun. 2012

[15]Identification and validation of a novel major QTL for harvest index in rice (Oryza sativa L.). Zhang, Shaohong,He, Xiuying,Zhao, Junliang,Cheng, Yongsheng,Chen, Yuehan,Yang, Tifeng,Dong, Jingfang,Wang, Xiaofei,Liu, Qing,Liu, Wei,Mao, Xingxue,Fu, Hua,Chen, Zhaoming,Liao, Yaoping,Liu, Bin,Zhang, Shaohong,He, Xiuying,Zhao, Junliang,Cheng, Yongsheng,Chen, Yuehan,Yang, Tifeng,Dong, Jingfang,Wang, Xiaofei,Liu, Qing,Liu, Wei,Mao, Xingxue,Fu, Hua,Chen, Zhaoming,Liao, Yaoping,Liu, Bin,Xie, Zhimei,Xie, Zhimei. 2017

[16]Radiation hybrid mapping and mRNA expression of chicken N-myc downregulated gene 4. Tian, Yong,Lu, Lizhi,Yuan, Aiping,Li, Guoqin,Yuan, Qingyan,Tao, Zhengrong,Tian, Yong,Fu, Yan,Zhao, Jin. 2007

[17]Cloning, chromosomal localization, SNP detection and association analysis of the porcine IRS-1 gene. Niu, P. -X.,Huang, Z.,Li, C. -C.,Fan, B.,Liu, B.,Yu, M.,Zhao, S. -H.,Li, K..

[18]Quantitative Trait Loci Mapping for Chlorophyll Fluorescence and Associated Traits in Wheat (Triticum aestivum). Yang, De-Long,Jing, Rui-Lian,Chang, Xiao-Ping,Li, We.

[19]Quantitative Trait Loci Mapping for Bacterial Blight Resistance in Rice Using Bulked Segregant Analysis. Han, Xueying,Chen, Jianping,Han, Xueying,Yang, Yong,Wang, Xuming,Zhou, Jie,Yu, Chulang,Cheng, Chen,Cheng, Ye,Yan, Chengqi,Chen, Jianping,Zhang, Wenhao. 2014

[20]Mapping and expression profiling reveal an inserted fragment from purple mustard involved anthocyanin accumulation in Chinese cabbage. Zhang, Shujiang,Li, Peirong,Qian, Wei,Zhang, Shifan,Li, Fei,Zhang, Hui,Wang, Xiaowu,Sun, Rifei.

作者其他论文 更多>>

微信小程序