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Mapping irrigated and rainfed wheat areas using high spatial–temporal resolution data generated by Moderate Resolution Imaging Spectroradiometer and Landsat
Lingling Zhang1,2; Qin’ge Dong1,3; Ning Jin1; Tinglong Zhang4
2019-11
Source PublicationJournal of Applied Remote Sensing
Volume12Issue:4Pages:046023
Abstract

The detailed area and spatial distribution of irrigated and rainfed wheat can help
forecast wheat yield and study water use efficiency. However, the similar spectral characteristics
of irrigated and rainfed wheat make it difficult to separate them with low-spatial resolution or
several high-spatial resolution images on the high heterogeneity of the southern Loess Plateau.
To solve this challenge, this study used the Spatial and Temporal Adaptive Reflectance Fusion
Model (STARFM) and Enhanced STARFM (ESTARFM) to generate time series of the normalized
difference vegetation index (NDVI) and the normalized difference water index (NDWI) at
a 30-m resolution by fusing Moderate Resolution Imaging Spectroradiometer and Landsat data.
Then, the phenological feature extracted from the predicted NDVI is combined with an auxiliary
dataset to classify irrigated and rainfed wheat using the support vector machine classifier. An
overall classification accuracy of 93.7% and a Kappa coefficient of 0.91 are achieved. Compared
with corresponding high-resolution Google Earth images, the spatial distribution of the classification
was consistent with actual land cover. This study demonstrates that the classification
approach could classify irrigated and rainfed wheat in high heterogeneity regions and crops
with smaller spectral characteristic differences. Moreover, it could be implemented across larger
geographic regions

Other Abstract

no

KeywordIrrigated And Rainfed Wheat Spatial And Temporal Adaptive Reflectance Fusion Model
MOST Discipline Catalogue农学 ; 农学::农业资源与环境
DOI10.1117/1.JRS.12.046023
URL查看原文
Indexed BySCI
Publication PlaceSPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
Language英语
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.iswc.ac.cn/handle/361005/8784
Collection水保所科研产出--SCI_2018--SCI
Corresponding AuthorQin’ge Dong; Ning Jin
Affiliation1.Chinese Academy of Sciences and Ministry of Water Resources, Institute of Soil and
2.University of Chinese Academy of Sciences
3.Northwest A&F University, Institute of Soil and Water Conservation
4.Northwest A&F University, College of Natural Resources and Environment
Recommended Citation
GB/T 7714
Lingling Zhang,Qin’ge Dong,Ning Jin,等. Mapping irrigated and rainfed wheat areas using high spatial–temporal resolution data generated by Moderate Resolution Imaging Spectroradiometer and Landsat[J]. Journal of Applied Remote Sensing,2019,12(4):046023.
APA Lingling Zhang,Qin’ge Dong,Ning Jin,&Tinglong Zhang.(2019).Mapping irrigated and rainfed wheat areas using high spatial–temporal resolution data generated by Moderate Resolution Imaging Spectroradiometer and Landsat.Journal of Applied Remote Sensing,12(4),046023.
MLA Lingling Zhang,et al."Mapping irrigated and rainfed wheat areas using high spatial–temporal resolution data generated by Moderate Resolution Imaging Spectroradiometer and Landsat".Journal of Applied Remote Sensing 12.4(2019):046023.
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