Data for "High-resolution soil moisture mapping in northern boreal forests using SMAP data and downscaling techniques" by Jääskeläinen et al.
Beskrivning
Datasets associated with Jääskeläinen et al. manuscript titled: "High-resolution soil moisture mapping in northern boreal forests using SMAP data and downscaling techniques". The dataset includes training, test, and validation sets for machine learning model development. Additionally, there are also predicted soil moisture maps in 1 km and 250 m spatial resolutions for Northern Finland covering the years 2019-2023 (from May 1 to October 15).
Visa merPubliceringsår
2025
Typ av data
Upphovspersoner
Luoto, Miska - Upphovsperson
Putkiranta, Pauli - Upphovsperson
Virtanen, Tarmo - Upphovsperson
Meteorologiska Institutet - Utgivare
Aurela, Mika - Upphovsperson
Jääskeläinen, Emmihenna - Upphovsperson
Projekt
Övriga uppgifter
Vetenskapsområden
Övriga
Språk
engelska
Öppen tillgång
Öppet
Licens
Creative Commons Attribution 4.0 International (CC BY 4.0)Nyckelord
boreal forest, machine learning, soil moistureÄmnesord
Temporal täckning
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Relaterade till denna forskningsdata
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Data for "High-resolution soil moisture mapping in northern boreal forests using SMAP data and downscaling techniques" by Jääskeläinen et al.