Ultimo aggiornamento
marzo 27,2024
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Descrizione

We present forecasts of land-use/land-cover (LULC) change for Switzerland for three time-steps in the 21st century under the representative concentration pathways 4.5 and 8.5, and at 100-m spatial and 14-class thematic resolution. We modelled the spatial suitability for each LULC class with a neural network (NN) using >200 predictors and accounting for climate and policy changes. We used data augmentation to increase performance for underrepresented classes, resulting in an overall quantity disagreement of 0.053 and allocation disagreement of 0.15, which indicate good model performance. These class-specific spatial suitability maps outputted by the NN were then merged in a single LULC map per time-step using the CLUE-S algorithm, accounting for LULC demand for the future and a set of LULC transition rules. As the first LULC forecast for Switzerland at a thematic resolution comparable to available LULC maps for the past, this product lends itself to applications in land-use planning, resource management, ecological and hydraulic modelling, habitat restoration and conservation.

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Identificatore
69945cd4-3dfc-4b1d-bdd4-e88cc577c3c9@envidat
Data di rilascio
marzo 22,2023
Data di modifica
marzo 27,2024
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Editore
EnviDat
Punti di contatto
Lingue
Inglese
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Landing page
https://www.envidat.ch/#/metadata/swiss_lulc_forecast_21th_century
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