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Cite this article:蒋博武,孟丹,郭晓彤,等.基于Landsat-8遥感数据的冬小麦种植区地表蒸散量时空分布研究[J].灌溉排水学报,2022,():-.
jiangbowu,mengdan,guoxiaotong,et al.基于Landsat-8遥感数据的冬小麦种植区地表蒸散量时空分布研究[J].灌溉排水学报,2022,():-.
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DOI:
Research on Temporal and Spatial Distribution of Surface Evapotranspiration in Winter Wheat Planting Area Based on Landsat-8 images
jiangbowu, mengdan, guoxiaotong, zhulin
Capital Normal University
Abstract:
【Objective】 This study aims to estimation of evapotranspiration in different phenological periods of winter wheat is of great significance for guaranteeing grain production by providing basis for scientific irrigation.【Method】 In this study, Liangyuan District, Shangqiu City, Henan Province was used as the research area, Landsat-8 remote sensing data, meteorological data, etc. were selected, and the winter wheat planting areas were extracted using the supervision classification combined with the threshold method, and the SEBS model was used to estimate the evapotranspiration. The spatial-temporal variation characteristics of evapotranspiration of winter wheat and other land use types in the study area were analyzed.【Result】①The overall accuracy of winter wheat extraction is 0.88, and the Kappa coefficient is 0.75. The proportion of winter wheat in Liangyuan District is 66.85% of the arable land and 43.96% of the total land area. ②The evapotranspiration varies with the seasons of winter wheat phenology. The overall average evapotranspiration in the study area is summer>spring>autumn>winter. ③Analyze the frequency of evapotranspiration in different periods. The frequency distribution of evapotranspiration of different land use types is concentrated at during the sowing, tillering, jointing and heading periods of winter wheat, while the frequency distribution of evapotranspiration of different landuse during the winter wheat harvesting period is discrete. The evapotranspiration of winter wheat is as follows: heading stage> jointing stage> harvest stage>sowing date>tillering date.【Conclusion】By comparing with low-resolution MOD16A2 data and meteorological observation data, this study illustrates the advantages of Landsat"s distinguished data and SEBS model in analyzing the temporal and spatial distribution of evapotranspiration of winter wheat and other land types.
Key words:  Landsat-8;SEBS;evapotranspiration;Winter wheat;Phenology