TY - JOUR
T1 - Identifying land use and land cover (LULC) change from 2000 to 2025 driven by tourism growth
T2 - 2020 24th ISPRS Congress - Technical Commission III
AU - Rimba, A. B.
AU - Atmaja, T.
AU - Mohan, G.
AU - Chapagain, S. K.
AU - Arumansawang, A.
AU - Payus, C.
AU - Fukushi, K.
N1 - Funding Information:
We would like to extend our gratitude to all agencies that supported this research. The financial and administrative supports were received from the Japan Society for the Promotion of Science (JSPS). Landsat and SRTM images were downloaded from the USGS, and road data were generated from OpenStreetMap. Thank you for the support from the Water for Sustainable Development (WSD) Project of United Nations University.
Publisher Copyright:
© 2020 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives.
PY - 2020/8/6
Y1 - 2020/8/6
N2 - Bali has been open to tourism since the beginning of the 20th century and is known as the first tourist destination in Indonesia. The Denpasar, Badung, Gianyar, and Tabanan (Sarbagita) areas experience the most rapid growth of tourism activity in Bali. This rapid tourism growth has caused land use and land cover (LULC) to change drastically. This study mapped the land-use change in Bali from 2000 to 2025. The land change modeller (LCM) tool in ArcGIS was employed to conduct this analysis. The images were classified into agricultural land, open area, mangrove, vegetation/forest, and built-up area. Some Landsat images in 2000 and 2015 were exploited in predicting the land use and land cover (LULC) change in 2019 and 2025. To measure the accuracy of prediction, Landsat 8 OLI images for 2019 were classified and tested to verify the LULC model for 2019. The Multi-Layer Perceptron (MLP) neural network was trained with two influencing factors: elevation and road network. The result showed that the built-up growth direction expanded from the Denpasar area to the neighbouring areas, and land was converted from agriculture, open area and vegetation/forest to built-up for all observation years. The built-up was predicted growing up to 43 % from 2015 to 2025. This model could support decision-makers in issuing a policy for monitoring LULC since the Kappa coefficients were more than 80% for all models.
AB - Bali has been open to tourism since the beginning of the 20th century and is known as the first tourist destination in Indonesia. The Denpasar, Badung, Gianyar, and Tabanan (Sarbagita) areas experience the most rapid growth of tourism activity in Bali. This rapid tourism growth has caused land use and land cover (LULC) to change drastically. This study mapped the land-use change in Bali from 2000 to 2025. The land change modeller (LCM) tool in ArcGIS was employed to conduct this analysis. The images were classified into agricultural land, open area, mangrove, vegetation/forest, and built-up area. Some Landsat images in 2000 and 2015 were exploited in predicting the land use and land cover (LULC) change in 2019 and 2025. To measure the accuracy of prediction, Landsat 8 OLI images for 2019 were classified and tested to verify the LULC model for 2019. The Multi-Layer Perceptron (MLP) neural network was trained with two influencing factors: elevation and road network. The result showed that the built-up growth direction expanded from the Denpasar area to the neighbouring areas, and land was converted from agriculture, open area and vegetation/forest to built-up for all observation years. The built-up was predicted growing up to 43 % from 2015 to 2025. This model could support decision-makers in issuing a policy for monitoring LULC since the Kappa coefficients were more than 80% for all models.
KW - land change model (LCM)
KW - land use and land cover (LULC)
KW - Landsat 8 OLI
KW - Multi-Layer Perceptron (MLP) neural network
KW - Sarbagita
KW - tourism
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U2 - 10.5194/isprs-archives-XLIII-B3-2020-1621-2020
DO - 10.5194/isprs-archives-XLIII-B3-2020-1621-2020
M3 - Conference article
AN - SCOPUS:85091170803
VL - 43
SP - 1621
EP - 1627
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
SN - 1682-1750
IS - B3
Y2 - 31 August 2020 through 2 September 2020
ER -