干旱区生态环境知识资源中心(Arid): 基于时序NDVI的关中地区冬小麦种植信息遥感提取

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	基于时序NDVI的关中地区冬小麦种植信息遥感提取
其他题名	Extraction of Winter Wheat Information Based on Time-series NDVI in Guanzhong Area
	申健; 常庆瑞; 李粉玲; 王力
来源期刊	农业机械学报
ISSN	1000-1298
出版年	2017
卷号	48 期号:3 页码:215-
中文摘要	快速而准确地获取和掌握冬小麦在我国西北干旱半干旱地区的种植信息对该区域粮食生产安全及其可持续发展具有重要意义。以陕西省关中地区为研究区域,采用迭代滤波技术重建MODIS NDVI时序序列,结合当地典型地物的NDVI曲线特征和二次差分技术,建立冬小麦像元的识别规则,提取了该地区2014年冬小麦种植信息。结果显示2014年关中地区冬小麦集中分布于渭河两岸的河谷地区以及泾河以东的渭北平原,北部黄土台塬则呈星状散布。总体种植面积8.882*10~5 hm~2,与统计资料相比,各地市遥感提取结果的相对误差绝对值在1.08%~9.02%之间,总体误差为3.70%。抽样验证结果显示分类精度为90.28%。该研究为关中地区制订种植计划和相关政策等提供了客观的数据参考,同时也为西北地区的农作物种植监测提供了技术支持。
英文摘要	Crop growth information is closely related to crop yield prediction and food security. Accurately investigating and monitoring crop growth information provides invaluable information for agricultural management, planning and decision-making, and further ensures sustainable development of agriculture. Guanzhong area is a main food production region of Northwest China, however, the varied topography, including loess hilly-gully region, Weihe plain and Qinling mountain, makes crop information extraction challenged and complicated. In order to obtain winter wheat planting information of Guanzhong area in 2014, thirty phases of MODIS NDVI image from September 2013 to December 2014 were used, the images were reconstructed by iterativeing SavitzkyGolay filter in time sequence, and the characteristics of NDVI profiles of the typical objects selected from filtered images were analyzed. And then the non-cropland was masked based on the characteristics analyzed above. On account of the special NDVI profile of winter wheat, the twi-difference algorithm was applied to the selection of 17 phases' image during period of November 2013 and July 2014, and the NDVI peaks were identified. From the local crop calendar and the characteristics of typical NDVI profiles, it was found that except winter wheat and rapeseeds, the rest of the crops did not show NDVI peaks during the selected period. Interestingly, winter wheat had two peaks in its growing season. The first one was appeared before the coming winter because of the snow or frost, and the second one was the normal growing peak. Rapeseeds had a single peak which was lower than that of winter wheat. Thus, the winter wheat of Guanzhong area was identified at the pixel level by combining the pixels which had double peaks and single peak with NDVI value under 0.65. For verifying the accuracy of extraction, the winter wheat growth area was measured at four typical plots of 1 km1 km, which were used to compare with the remote sensing results. Besides, totally 100 winter wheat NDVI profiles were sampled to compare with the artificial interpretation at the pixel level. The results showed that the winter wheat was mainly distributed at two regions in Guanzhong area. One was located in the river valley of middle reaches of Weihe river, and the other one was located in the wide Weibei plain of the east side of Jinghe river. Meanwhile, the winter wheat presented a scattered pattern at the loess hilly-gully area in the north, and did not appear at the mountainous area in the south. The total area of winter wheat in Guanzhong area in 2014 was 8.882 10~5 hm~2, and its areas in Xi'an, Tongchuan, Xianyang, Baoji and Weinan were 1.95810~5 hm~2, 2.29610~5 hm~2, 1.70410~5 hm~2, 2.22210~5 hm~2 and 2.769*10~5 hm~2, respectively. Compared with the statistics of government, the total relative error of Guanzhong area was 3.70%, with variation of 1.08%~9.02% at the city level. The maximum relative error was 9.02% which was occurred at Baoji. The accuracies of four plots of Changwu, Yintai, Fufeng and Yangling were 17.3%, 15.1%, 5.6% and 7.7%, respectively. Besides, the accuracy of sampled 100 NDVI profiles at the pixel level reached 90.28%. The results indicated that exacting the crop information using NDVI time-series at a topography complicated region was feasible and it can be applied to the other regions of Northwest China for making plan of crop planting, agricultural resource allocation and monitoring crop growing.
中文关键词	冬小麦 ; 种植信息 ; 遥感提取 ; 二次差分法 ; MODIS NDVI影像 ; 滤波
英文关键词	winter wheat planting information remote sensing extraction twi-difference algorithm MODIS NDVI image filtering
类型	Article
语种	中文
收录类别	CSCD
WOS类目	Agriculture
CSCD记录号	CSCD:5948448
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/378916
作者单位	申健, 西北农林科技大学资源环境学院, 杨凌, 陕西 712100, 中国.; 常庆瑞, 西北农林科技大学资源环境学院, 杨凌, 陕西 712100, 中国.; 李粉玲, 西北农林科技大学资源环境学院, 杨凌, 陕西 712100, 中国.; 王力, 西北农林科技大学资源环境学院, 杨凌, 陕西 712100, 中国.
推荐引用方式 GB/T 7714	申健,常庆瑞,李粉玲,等. 基于时序NDVI的关中地区冬小麦种植信息遥感提取[J],2017,48(3):215-.
APA	申健,常庆瑞,李粉玲,&王力.(2017).基于时序NDVI的关中地区冬小麦种植信息遥感提取.农业机械学报,48(3),215-.
MLA	申健,et al."基于时序NDVI的关中地区冬小麦种植信息遥感提取".农业机械学报 48.3(2017):215-.