基于MODIS时序NDVI主要农作物种植信息提取研究

doi:10.11849/zrzyxb.20160943

自然资源学报 ›› 2017, Vol. 32 ›› Issue (10): 1808-1818.doi: 10.11849/zrzyxb.20160943

• 资源研究方法 • 上一篇

基于MODIS时序NDVI主要农作物种植信息提取研究

郭昱杉^{1, 2}, 刘庆生^{1, *}, 刘高焕¹, 黄翀¹

1. 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京 100101;
2. 中国科学院大学,北京 100049

收稿日期:2016-08-31 修回日期:2017-02-28 出版日期:2017-10-20 发布日期:2017-10-20
通讯作者: 刘庆生（1971- ）,男,山西忻州人,副研究员,主要研究方向为遥感与地理信息系统在资源环境评价中的应用研究。E-mail: liuqs@lreis.ac.cn
作者简介:郭昱杉（1992- ）,女,山西晋城人,硕士研究生,研究方向为遥感与地理信息系统的应用。E-mail: guoyushan@lreis.ac.cn
基金资助:
国家科技支撑计划项目（2013BAD05B03）; 国家自然科学基金项目（41671422,41271407,41471335）; 国家国际科技合作专项项目（2012DFG22050）

Extraction of Main Crops in Yellow River Delta Based on MODIS NDVI Time Series

GUO Yu-shan^{1, 2}, LIU Qing-sheng¹, LIU Gao-huan¹, HUANG Chong¹

1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China

Received:2016-08-31 Revised:2017-02-28 Online:2017-10-20 Published:2017-10-20
Supported by:
National Key Technology Support Program, No.2013BAD05B03; National Natural Science Foundation of China, No.41671422, 41271407 and 41471335; International S & T Cooperation Program of China, No.2012DFG22050

摘要/Abstract

摘要： 农业在黄河三角洲地区占有重要地位,及时、准确地掌握该地区农作物分布信息对政府有关部门制定农业政策、指导农业生产具有十分重要的意义。时序植被指数能够反映农作物物候特征,帮助识别农作物类型,在农作物种植信息提取方面具有明显优势。论文选取2014年MOD09Q1时序遥感数据集,以黄河三角洲主要农作物为研究对象,利用Harmonic Analysis of NDVI Time-Series（Hants）滤波重构NDVI时序曲线,通过对比待分像元NDVI时序曲线与参考时序曲线的相似性,实现农作物种植信息提取。对分类结果进行面积统计和空间分布精度检验：冬小麦、棉花、玉米的面积提取精度分别达到96.8%、95.5%、85.1%,空间匹配总体精度达86.9%。结果表明该方法有效可行,能够为该地区农业监测提供技术基础。

关键词: MODIS, 农作物种植信息提取, 时序植被指数, 遥感

Abstract: Agriculture plays a key role in the Yellow River Delta, which is one of the greatest granaries of China. Timely and accurately understanding the crop distribution information is very important for related government departments to make reasonable decisions and guide agricultural production. Traditional methods based on field investigation and statistic data were time consuming and labor consuming. Time series of vegetation indices based on remote sensing images have obvious advantages and great application potentials in the extraction of crop planting information. This paper aimed at extracting the main crops in the Yellow River Delta, including winter wheat, maize and cotton. MODIS images with 250 m spatial resolution were used in this study. Dezhou City, Binzhou City and Dongying City were chosen as the study area for the convenience. The 250 m MOD09Q1 8 d time series remote sensing images in 2014 were acquired from the website of NASA. To avoid the disturbance from orchards and grasslands, firstly, the non-crop areas were masked out with the 1:100 000 land use map of the study area in 2014. Considering that there were some irregular fluctuations of the NDVI time series caused by the influence of clouds and atmosphere, we secondly reconstructed the NDVI time series with Hants filters. Then, the main crops planting information was extracted by comparing the NDVI time series with the reference NDVI time series which were the average NDVI of the sampling points collected in May, 2014 and November, 2014. Finally, the threshold value of each crop was determined and the planting information was extracted according to the thresholds. Two precision validation methods, spatial distribution and areal statistics, were adopted. The results showed that the accuracies of wheat and cotton in area were high (96.8%, 95.5%), while the accuracy of maize in area is a little lower (85.1%). The overall spatial consistency was 86.9% according to spatial distribution cooperation. The result suggests that the method in this paper is effective and practicable.

Key words: crop planting information extraction, MODIS, NDVI time series, remote sensing

中图分类号:

S127

郭昱杉, 刘庆生, 刘高焕, 黄翀. 基于MODIS时序NDVI主要农作物种植信息提取研究[J]. 自然资源学报, 2017, 32(10): 1808-1818.

GUO Yu-shan, LIU Qing-sheng, LIU Gao-huan, HUANG Chong. Extraction of Main Crops in Yellow River Delta Based on MODIS NDVI Time Series[J]. JOURNAL OF NATURAL RESOURCES, 2017, 32(10): 1808-1818.

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基于MODIS时序NDVI主要农作物种植信息提取研究

Extraction of Main Crops in Yellow River Delta Based on MODIS NDVI Time Series

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