REMOTE SENSING OF REGIONAL CROP TRANSPIRATION OF WINTER WHEAT BASED ON MODIS DATA AND FAO-56 CROP COEFFICIENT METHOD

被引:2
|
作者
Li, Heli [1 ,2 ,3 ]
Luo, Yi [2 ]
Zhao, Chunjiang [3 ]
Yang, Guijun [3 ]
机构
[1] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China
[2] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China
[3] Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing, Peoples R China
来源
基金
中国国家自然科学基金; 北京市自然科学基金;
关键词
Transpiration; MODIS Data; FAO-56 Crop Coefficient Method; Winter Wheat; EVAPOTRANSPIRATION; MODEL; IRRIGATION; INDEX;
D O I
10.1080/10798587.2013.824150
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Crop evapotranspiration is one of the most important parameters of farmland water cycle, which consists of crop transpiration (T-c) and soil evaporation. As the efficient component for crop production, T-c and its accurate determination, especially on a regional scale, is very critical for scientific design of irrigation scheduling and high-efficiency utilization of water resources. In this work, the T-c of winter wheat over an irrigation area located in the lower Yellow River of China was estimated by combining MODIS data and FAO-56 crop coefficient method. Specifically, the relationships between the single crop coefficient (K-c), basal crop coefficient (K-cb) and canopy vegetation indices were investigated and compared based on field data. Then, the actual K-cb map of winter wheat over the study area was estimated with MODIS-derived soil adjusted vegetation index (SAW) using the relationship obtained from above field investigations. Finally, the T-c of winter wheat over the area was determined as the product of K-cb and reference crop evapotranspiration (ET0). ET0 was calculated from meteorological data, and then were spatially interpolated to obtain the regional map matching with the remotely sensed K-cb. It was found that compared with K-c, K-cb was much more closely related to the vegetation indices of NDVI, SAVI, and EVI, even in the presence of nitrogen and water stress, with the coefficients of determination (R-2) being 0.60, 0.67 and 0.68 respectively (n = 195) which could be even higher without the water-stress points that had not reached the severity to make obvious changes in canopies. Results also demonstrated that it was feasible to utilize the K-cb-SAVI relationship to derive the K-cb of winter wheat over a large area by means of satellite remote sensing, and that it was effective to determine regional crop T-c using the above approach. It would be useful in practical application due to the advantages of easy operation and separating soil evaporation effectively.
引用
收藏
页码:285 / 294
页数:10
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