Accuracy of Satellite Data vs. Conventional Methods in Estimating Evapotranspiration and Evaporation: A Hydrological Analysis of the Serang Kulon Progo Sub-Basin with Land Use Variations
Yohana Noradika Maharani, I Putu Gema Bujangga Waisnawa, Nandra Eko Nugroho, Maulana Khafid Arrohman, Wisnu Aji Dwi Kristianto

Jurusan Teknik Lingkungan, Universitas Pembangunan Nasional Veteran Yogyakarta, Yogyakarta, Indonesia.

Environmental Engineering Department, Universitas Pembangunan Nasional Veteran Yogyakarta


Abstract

The need to integrate advanced technology in water balance analysis is emphasized, where traditional methodologies are often still conventional. There is a necessity to incorporate cutting-edge technologies such as remote sensing and dynamic hydrological models in water balance analysis to produce accurate assessments considering both hydrological and meteorological perspectives. The research problem focuses on the reliability and accuracy of satellite data in estimating evaporation under various climatic conditions and land uses, comparing it with conventional measurement methods. The methods used to address the research problem include several aspects, such as: (1) Conventional evapotranspiration and evaporation calculations analyzed via remote sensing using bands on Landsat ETM 8/9, and (2) Conventional evapotranspiration and evaporation calculations using the Modified Penmann method. The analysis predominantly employs a combination of several supporting quantitative methods. The research results indicate a correlation between detailed conventional calculations and the broader area coverage achievable through remote sensing. However, remote sensing results should always be compared with conventional measurements, as there are significant differences between the two. This research presents two novelties: (1) Population novelty, that is providing study on smaller and more detailed sub-basins, and (2) Empirical evidence novelty that provide the impact of land use based on the estimation of evapotranspiration and evaporation.

Keywords: Evaporation, Evapotranspiration, Remote Sensing, Landsat, Modified Penmann.

Topic: Engineering

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