Simulated future land cover maps according to different change scenarios, Nan Province, Thailand
This dataset holds the results of different simulations of land cover changes over Nan Province, Thailand, up to 2030. <br> ESA global land cover maps (1992-2015) were used as initialization maps (ESA, 2017). A land-cover (LC) change model was constructed from 1992-2015 maps. Three future land-use scenarios in 2030 (Trisurat et al., 2020) were used to simulate future land cover maps (2016-2030), using the Ocelet modelling platform (ocelet.org). <br> Simulated 2019 land cover maps were compared with a recent LC map of Saen Thong district, Nan province, derived from Sentinel-2 satellite time series. <br> The obtained future land cover maps are intended to study the spread of some common infectious diseases (ANR FutureHealthSEA project: predictive scenarios of health in Southeast Asia, linking land use and climate change to infectious diseases).
| Main Authors: | , , |
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| Format: | Dataset biblioteca |
| Language: | English |
| Published: |
CIRAD Dataverse
2021
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| Subjects: | Agricultural Sciences, Computer and Information Science, Earth and Environmental Sciences, télédétection, Environnement, environment, spatial database, base de données spatiale, remote sensing, |
| Online Access: | https://doi.org/10.18167/DVN1/BRW2DR |
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