Data for "High-resolution soil moisture mapping in northern boreal forests using SMAP data and downscaling techniques" by Jääskeläinen et al.

DOI

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).

Identifier
DOI https://doi.org/10.57707/fmi-b2share.be17ee6ccb41407f8acd76fddc4a8519
Source https://fmi.b2share.csc.fi/records/be17ee6ccb41407f8acd76fddc4a8519
Metadata Access https://fmi.b2share.csc.fi/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share.eudat.eu:b2rec/be17ee6ccb41407f8acd76fddc4a8519
Provenance
Creator Jääskeläinen, Emmihenna; Luoto, Miska; Putkiranta, Pauli; Aurela, Mika; Virtanen, Tarmo
Publisher Finnish Meteorological Institute
Publication Year 2024
Rights CC-BY; info:eu-repo/semantics/openAccess
OpenAccess true
Contact emmihenna.jaaskelainen(at)fmi.fi
Representation
Language English
Resource Type Dataset
Format nc; pkl
Size 21.4 GB; 13 files
Discipline Hydrology
Temporal Coverage 2019-04-30T21:00:00.000Z 2024-10-14T21:00:00.000Z