Irrigation Area Monitoring in Jiefangzha Irrigation District based on Landsat 8 Satellite Data

doi:10.11873/j.issn.1004-0323.2022.3.0620

Remote Sensing Technology and Application

2022, Vol. 37

Issue (3): 620-628 DOI: 10.11873/j.issn.1004-0323.2022.3.0620

Irrigation Area Monitoring in Jiefangzha Irrigation District based on Landsat 8 Satellite Data

Enyu Du^1,^2,³(

),Fang Chen^1,^2,^3,⁴(

),Huicong Jia^1,²,Lei Wang^1,²,Aqiang Yang^1,²

^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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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

Received: 14 January 2021 Published: 25 August 2022

ZTFLH:

TP79

Corresponding Authors: Fang Chen E-mail: duenyu20@mails.ucas.ac.cn;chenfang_group@radi.ac.cn

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Cite this article:

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.

URL:

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

Fig.1 Landsat 8 image of Jiefangzha Irrigation district

Table 1 Landsat 8 data

Fig.2 Schematic diagram of PDI

Fig.3 Experimental flow chart

Fig.4 Dry-edge and wet-edge fitting of NDVI-LST spatial pattern

Fig.5 Mean of TVDI and MPDI

Fig.6 The extraction results of the irrigation area

Table 2 Comparison of monitoring irrigation area and real irrigation area from July 4 to September 6

Fig.7 Google Earth Image

Table 3 The monitoring accuracy of irrigation area

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