Landsat/AMSR2 기반 토양수분의 시공간적 해상도 분석
Spatio-Temporal Resolution Analysis based on Landsat/AMSR2 Soil Moisture
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조회
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다운로드
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인용
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참고문헌
키워드
초록
The purpose of this study is to determine the spatial and temporal resolutions that can represent land surface characteristics comprised of various landuse using Landsat/AMSR2-based soil moisture data. We estimated the Landsat (30 m×30 m)-based soil moisture values using the soil moistureregression model. Then, the Landsat (30 m×30 m)-based soil moisture (reference values) were resampled to the relatively coarse resolutions from 1 kmto 4 km, respectively. Comparing the reference values to the resampled soil moisture values, we confirmed that uncertainties were increased with thespatial resolutions of 2 km∼4 km indicating that the spatial resolution of 1 km×1 km is required to represent the complicated land surface. Also, theAMSR2 soil moisture values have less uncertainties compared to SMAP data with the temporal resolution of 1∼2 days. Thus, our findings can beuseful for various areas such as agriculture, hydrology, forest, etc.
Abstract
The purpose of this study is to determine the spatial and temporal resolutions that can represent land surface characteristics comprised of various landuse using Landsat/AMSR2-based soil moisture data. We estimated the Landsat (30 m×30 m)-based soil moisture values using the soil moistureregression model. Then, the Landsat (30 m×30 m)-based soil moisture (reference values) were resampled to the relatively coarse resolutions from 1 kmto 4 km, respectively. Comparing the reference values to the resampled soil moisture values, we confirmed that uncertainties were increased with thespatial resolutions of 2 km∼4 km indicating that the spatial resolution of 1 km×1 km is required to represent the complicated land surface. Also, theAMSR2 soil moisture values have less uncertainties compared to SMAP data with the temporal resolution of 1∼2 days. Thus, our findings can beuseful for various areas such as agriculture, hydrology, forest, etc.
참고문헌 (9)
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