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遥感技术与应用  2022, Vol. 37 Issue (3): 620-628    DOI: 10.11873/j.issn.1004-0323.2022.3.0620
农业遥感专栏     
基于Landsat 8卫星数据的解放闸灌域灌溉面积监测研究
杜恩宇1,2,3(),陈方1,2,3,4(),贾慧聪1,2,王雷1,2,杨阿强1,2
1.中国科学院空天信息创新研究院,数字地球重点实验室,北京 100094
2.可持续发展大数据国际研究中心,北京 100094
3.中国科学院大学,北京 100049
4.海南省地球观测重点实验室,海南 三亚 572029
Irrigation Area Monitoring in Jiefangzha Irrigation District based on Landsat 8 Satellite Data
Enyu Du1,2,3(),Fang Chen1,2,3,4(),Huicong Jia1,2,Lei Wang1,2,Aqiang Yang1,2
1.Key Laboratory of Digital Earth Science,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China
2.International Research Center of Big Data for Sustainable Development Goals,Beijing 100094,China
3.University of Chinese Academy of Sciences,Beijing 100049,China
4.Hainan Key Laboratory of Earth Observation,Aerospace Information Research Institute,Chinese Academy of Sciences,Sanya 572029,China
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摘要:

准确监测灌区灌溉面积及其干旱情况等信息是灌区管理的基础,设立监测站点等传统方式已经不能满足应用与研究的需要,而遥感成为水资源管理的有力技术手段。基于Landsat 8数据,以内蒙古解放闸灌域为研究区,计算了温度植被干旱指数(Temperature Vegetation Dryness Index,TVDI)和改进的垂直干旱指数(Modified Perpendicular Drought Index,MPDI)并分析其分布和变化;根据两干旱指数灌溉前后差异,引入阈值法构建灌溉面积提取模型,确定阈值以进行灌溉面积的提取。结果表明:在2017年7月~8月,解放闸灌域得到了较大规模的灌溉;将利用两种干旱指数差异阈值提取的灌溉面积与实际灌溉面积进行对比,TVDI和MPDI监测面积精度分别为82.96 %和74.01 %;同时选取Google Earth高分辨率数据作为真实数据对灌溉地提取结果进行混淆矩阵计算,结果显示MPDI提取总体精度为94.17 %,优于TVDI的58.90 %。两种精度验证结果表明了利用遥感技术计算干旱指数用于灌区旱情监测和灌溉面积提取的可行性,但在受灌溉地区的空间分布上,相比TVDI,引入植被覆盖度的MPDI能更好地反映一个地区的干旱情况,提取到的灌溉地空间分布更为合理。

关键词: 温度植被干旱指数修正的垂直干旱指数灌溉面积差异阈值混淆矩阵    
Abstract:

The monitoring of information such as irrigation area and drought conditions in irrigation districts is the basis of irrigation districts management, while the traditional way to get the information cannot meet the research needs. Satellite remote sensing is a powerful technical means for water resources management. Taking the Jiefangzha Irrigation district in Inner Mongolia Autonomous Region as a research area, the Landsat 8 satellite data were selected to calculate and analyze the distribution and change of the Temperature Vegetation Dryness Index(TVDI) and the Modified Perpendicular Drought Index(MPDI). The paper built a remote sensing model of irrigation area based on drought index difference threshold to determine the threshold and extract the irrigation area. The results showed that the Jiefangzha Irrigation district received a large scale of irrigation in July to August in 2017. Through comparing the irrigation area extracted by using two drought index difference thresholds with the real irrigation area, the monitoring accuracy of TVDI and MPDI is 82.96% and 74.01%, respectively. And the high-resolution data of Google Earth is selected as the real data to calculate the confusion matrix. The results showed that the overall accuracy of MPDI extraction is 94.17%, which is higher than 58.90% of TVDI. The two results illustrate the feasibility of calculating drought index for irrigation drought monitoring and area extraction. However, in terms of spatial distribution, compared with TVDI, MPDI can better reflect the drought situation, and the spatial distribution of the irrigation district is more reasonable.

Key words: TVDI    MPDI    Irrigation area    Difference threshold    Confusion matrix
收稿日期: 2021-01-14 出版日期: 2022-08-25
ZTFLH:  TP79  
基金资助: 国家重点研发计划项目(2019YFD1100803);国家自然科学基金项目(42171078)
通讯作者: 陈方     E-mail: duenyu20@mails.ucas.ac.cn;chenfang_group@radi.ac.cn
作者简介: 杜恩宇(1998-),男,吉林松原人,博士研究生,主要从事农业旱灾遥感监测研究。E?mail: duenyu20@mails.ucas.ac.cn
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引用本文:

杜恩宇,陈方,贾慧聪,王雷,杨阿强. 基于Landsat 8卫星数据的解放闸灌域灌溉面积监测研究[J]. 遥感技术与应用, 2022, 37(3): 620-628.

Enyu Du,Fang Chen,Huicong Jia,Lei Wang,Aqiang Yang. Irrigation Area Monitoring in Jiefangzha Irrigation District based on Landsat 8 Satellite Data. Remote Sensing Technology and Application, 2022, 37(3): 620-628.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2022.3.0620        http://www.rsta.ac.cn/CN/Y2022/V37/I3/620

图1  解放闸灌域遥感影像
序号成像时间分辨率/m
12017-07-0430
22017-08-0530
32017-09-0630
42017-09-2230
表1  Landsat 8数据列表
图2  NIR-Red特征空间和PDI示意图
图3  灌溉面积提取流程图
图4  不同时相的NDVI-LST特征空间干边和湿边分布
图5  TVDI与MPDI均值
图6  灌溉面积提取结果
阈值I真实灌溉面积 /km2监测灌溉面积 /km2监测准确率 /%
ITVDI1 2401 028.6682.96
IMPDI1 240917.7574.01
表2  7月4日~9月6日监测灌溉面积与实际灌溉面积比较
图7  Google Earth影像
总体精度 /%用户精度 /%制图精度 /%误分率 /%错分率 /%漏分率 /%
TVDI58.9045.6941.6841.1054.3158.32
MPDI94.1795.1289.285.834.8810.72
表3  两种干旱指数下灌溉区域提取精度
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