@ARTICLE{Lihawa_Fitryane_Mapping_2025,
 author={Lihawa, Fitryane and Baderan, Dewi Wahyuni K. and Maryati, Sri and Lahay, Rakhmat Jaya},
 number={No 65},
 pages={65-73},
 journal={Journal of Water and Land Development},
 howpublished={online},
 year={2025},
 publisher={Polish Academy of Sciences; Institute of Technology and Life Sciences - National Research Institute},
 abstract={The extensive use of geospatial information technology in predicting erosion rates has been considerable. However, previous studies have not considered aspects of landscape connectivity based on spatial dependence in mapping erosion-prone zones. This research eliminates this weakness by using the GEE-R-GIS framework. Specifically, this experiment aims to 1) assess spatiotemporal variations in soil erosion rates in 2000 and 2020 along watersheds in the Tomini Bay region, Indonesia, 2) map soil erosion hotspots and coldspots using spatial autocorrelation for rehabilitation priority areas watershed. The findings show that 1) the spatiotemporal of soil erosion in 2000 and 2020 is primarily consistent in the central part of Central Sulawesi Province; others are spread in the western mountainous area of the study region, stretching from north to south; 2) there is a difference in the area of hotspot and coldspot between 2000 and 2020. Hotspots are mostly spatially aggregated in the southern and western regions of the research area, while coldspots are concentrated in the northern region. In 2000, hotspots covered 11.13% of the study area, with a significance class of <0.05. Coldspots occupied 28.42% of the study region with a significance class of <0.05. In 2020, the area of hotspots decreased to 9.98%, and the soil erosion coldspots increased slightly to 28.68%. Hotspots and coldspots information can be treated as a reference for spatial priority in watershed environmental rehabilitation planning.},
 type={Article},
 title={Mapping hotspots and coldspots of soil erosion along the watershed running into Tomini Bay},
 URL={http://ochroma.man.poznan.pl/Content/135120/2025-02-JWLD-08.pdf},
 doi={10.24425/jwld.2025.154251},
 keywords={GEE-R-GIS framework, RUSLE model, spatial autocorrelation, soil erosion, Tomini Bay},
}