Probability of Erosion Utilizing Google Earth Engine and the RUSLE Method in the Tuntang Watershed
Boogaard F.C., Sentani A., Niam M.F.
Abstract
The Tuntang Watershed is an important watershed in Central Java. Management of watersheds in the Tuntang stream is a priority for various parties to carry out. One of the things that threatens the sustainability of the Tuntang watershed is erosion. The erosion rate can lead to sediment accumulation and siltation in the Tuntang River reservoir, which can cause catastrophic flooding. Flood disaster mitigation caused by erosion needs to be done, one of which is by calculating the erosion rate per year that occurs in the Tuntang watershed. This study calcultated the predicted erosion rate (per year in the Tuntang watershed) using the Revised Universal Soil Loss Equation (RUSLE) method, processed using the Google Earth Engine (GEE). Google offers a cloud-storage technology called GEE. Programming in JavaScript is required to operate GEE. GEE is a petabyte-scale data-based tool that can be used to analyze and archive geospatial data that is open source. The computing environment is designed for the processing of geospatial data, including the depiction of spatial analysis of satellite imagery. Data for RUSLE is obtained from the database in GEE, and the results can be imaged on a map. According to the study's findings, the degree of soil erosion throughout the Tuntang Watershed was essentially constant, with Moderate erosion predominating in the majority of locations. Senjoyo Sub Watershed, Rowopening Sub Watershed, and Tuntang Hilir Sub Watershed are the primary locations with severe erosion. Rowopening Sub Watershed is the region that is the worst.
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Amaru Kharistya S. D.
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Fibriani C, Lestari M, Prasetyo S, Yulianto Joko
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Ahmadi S.A., Amani M., Brisco B., Ghahremanloo M., Ghorbanian A., Kakooei M., Mahdavi S., Mirmazloumi S.M., Moghaddam S.H.A., Moghimi A., Parsian S., Wu Q.
No Title
Wang H, Zhao H
Soil erosion modelling: A global review and statistical analysis
Alewell C., Alvarez P., Alvarez P., Anache J.A.A., Anache J.A.A., Baartman J., Ballabio C., Bezak N., Biddoccu M., Borrelli P., Borrelli P., Borrelli P., Cerda A., Chalise D., Chen S., Chen W., De Girolamo A.M., Deumlich D., Diodato N., Efthimiou N., Erpul G., Fiener P., Freppaz M., Gentile F., Gericke A., Gessesse G.D., Haregeweyn N., Hu B., Hu B., Jeanneau A., Kaffas K., Kiani-Harchegani M., Kim H.S., Li C., Lombardo L., Lopez-Vicente M., Lucas-Borja M.E., Marker M., Matthews F., Miao C., Mikos M., Modugno S., Modugno S., Moller M., Naipal V., Nearing M., Oliveira P.T., Owusu S., Panagos P., Panday D., Patault E., Patriche C.V., Poggio L., Portes R., Quijano L., Rahdari M.R., Renima M., Ricci G.F., Rodrigo-Comino J., Rodrigo-Comino J., Saia S., Samani A.N., Schillaci C., Spinola D.N., Syrris V., Teng H., Thapa R., Vantas K., Vieira D., Villuendas I.L., Yang J.E., Yin S., Zema D.A., Zhao G.
de Andrade M.M.N., Goncalves C.D.S., Batista J.R.D.S.
Revista Brasileira De Geografia Fisica
