A fully automated model for land use classification from historical maps using machine learning

Author:

Ågren Anneli M.ORCID,Lin YiqiORCID

Funder

Knut och Alice Wallenbergs Stiftelse

Svenska Forskningsrådet Formas

Publisher

Elsevier BV

Reference60 articles.

1. 2016/17:104 A National Food Strategy for Sweden – more jobs and sustainable growth throughout the country. Short Version of Government Bill 2016/17:104. Government Offices of Sweden, Ministry of Enterprise and Innovation. Elanders. 24 p. Stockholm.

2. Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data;Abdi;GIScience Remote Sens.,2020

3. Use of multiple LIDAR-derived digital terrain indices and machine learning for high-resolution national-scale soil moisture mapping of the Swedish forest landscape;Ågren;Geoderma,2021

4. Delineating the distribution of mineral and peat soils a the landscape scale in northern boreal regions;Ågren;Soil,2022

5. Optuna: a next-generation hyperparameter optimization framework;Akiba,2019

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