基于地表温度和叶面积指数的干湿限研究及区域蒸散发估算

doi:10.13866/j.azr.2019.02.15

Abstract

Abstract: The METRIC model was chosen to reveal the spatial ambiguity issue encountered during the calculation of regional evapotranspiration (ET) by remote sensing energy balance method. The study was based on the trend graph of surface temperature (T_s) and leaf area index (LAI). The dry pixel was chosen as the bare soil area where the T_s frequency histogram accounted for the top 5% of the high-temperature region, and the LAI frequency histogram accounted for 5% of the region. The wet pixel was chosen as the wetland or farmland where the T_s frequency histogram accounted for the last 5% of the low-temperature region, and the LAI frequency histogram accounted for the top 5% of the region. After that, the measured data of the eddy covariance system were used to verify the estimation accuracy of the model. The results showed that the average estimation accuracy of evapotranspiration in the calibration period and verification period was 15%, which was relatively reasonable compared with the previous research results. The selection scheme could help the Mapping Evapotranspiration with Internalized Calibration (METRIC) model to subjectively determine the dry-wet edge. The evapotranspiration values of different land use types were calculated, and they were in an order of ET_water>ET_forest>ET_{arable land}>ET_{unused land}>ET_{urban and rural industrial land} ≈ ET_grassland, which could be referred in researching the precision estimation of regional remote sensing evapotranspiration.

Key words: evapotranspiration, METRIC model, dry-wet edge, surface temperature, leaf area index, Inner Mongolia

WANG Jun, LI He-ping, LU Hai-yuan, ZHANG Rui-qiang, CAO Xue-song. Dry-Wet Edge Based on Land Surface Temperature and Leaf Area Index and Estimation of Regional Evapotranspiration[J].Arid Zone Research, 2019, 36(2): 395-402.

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Dry-Wet Edge Based on Land Surface Temperature and Leaf Area Index and Estimation of Regional Evapotranspiration

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