# Land use change projection in Bonehau Watershed 2031 > Ardiansah T. URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_85118841634 Jurnal / Konferensi: Iop Conference Series Earth and Environmental Science Tahun terbit: 2021 DOI: https://doi.org/10.1088/1755-1315/870/1/012028 ISSN: 17551307 Citations: 2 ## Authors - Ardiansah T. ## Abstract Through land use, humans have modified over 83% of the terrestrial surface. This research was aimed to identify land-use changes in 2001, 2008 dan 2016, and projected land-use changes in 2031 using Markov modelling in Bonehau Watershed. The study used Markov modelling to projected land-use change in 2031. The result indicates there were eight classes of land use in Bonehau watershed with accurate of interpretation 86.5 %. The classes consist of primary forest, secondary forest, brushwood, agriculture, rice fields, settlement, open land, and water areas. Validation of land use in 2016 using Markov modelling has an accuracy of 85,49 %. This is compatible with the percentage of equality area between actual and projected in 2016, 85.29 %. The result of projection land-use changes in 2031 showed the highest increasing areas occurred in the settlement class, 166.15 % or 320.54 hectares out of settlement area in 2016, whereas the highest decreasing areas occurred in the primary forest, 17.23 % or 7.397.05 hectare out of primary forest area in 2016. Projection of land-use change in 2031 showed all classes with natural characteristic was decreasing and all classes influenced by human activities were increasing. ## Keywords - Hectare - Watershed - Land use - Land use - land-use change and forestry - Environmental science - Settlement (finance) - Agricultural land - Geography - Forestry - Hydrology (agriculture) - Agriculture - Ecology - Computer science - Biology - Engineering - Payment - Archaeology - World Wide Web - Machine learning - Geotechnical engineering --- Sumber: Discover Unhas — RIMS Universitas Hasanuddin. Saat mengutip, gunakan DOI bila tersedia atau URL kanonis di atas.