Mr. Azmi Hafizha Rahman Profile

Azmi Hafizha Rahman

at IPB Univ.

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Proceedings Article | 24 December 2019 Paper

Evapotranspiration estimation using vegetation index and surface reflectance SWIR Landsat-8 combination on various land cover

R. Mahfiz, I. Risdiyanto, M. Mahfud, A. H. Rahman, V. B. Primadi

Proceedings Volume 11372, 113720O (2019) https://doi.org/10.1117/12.2541726

KEYWORDS: Vegetation, Short wave infrared radiation, Reflectivity, Earth observing sensors, Agriculture, Landsat, Satellites, Solar radiation models, Solar radiation, Shortwaves

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Accurate information of evapotranspiration (ET) will provide important information in irrigation systems. ET can be estimated using simple method using satellite data and field measurements. Field measurements was conducted in Air Buluh Village, Bangka Belitung Island on seven land cover (three different palm-oil ages, bare land, agricultural land, reclamation, shrub) by using the Penman-Monteith method. Enhanced Vegetation Index (EVI), Normalized Difference Vegetation Index (NDVI), Soil-Adjusted Vegetation Index (SAVI), spectral reflectance short-wave band (SWIR), were used from satellite data derived from Landsat 8-OLI/TIRS data. The analysis shows that the vegetation index has positive correlation with ET field measurements with a correlation only 12-15% and errors 1.3 mm/day, with SAVI has the lowest correlation, followed by EVI and NDVI. SWIR has negative correlation with 7% coefficient correlation. SWIR is a sensitive band with surface water content. SWIR increases with decrease of surface water content. Estimation of ET were built by using simple regression between ET and vegetation index and SWIR. Regression result shows that EVI has the highest correlation, 42% followed by NDVI and SAVI, 39%, and 30%. The equation formed by vegetation index and SWIR is: ET=EVI(2.68e^{6.14 SWIR}), ET=NDVI(2.67e ^4.57SWIR), ET=SAVI(4.45e^{4.07 SWIR}) ,with P-value < 0.05 for all method with error 1-2.5 mm/day

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