Published December 4, 2024
| Version
v1
Dataset
Data for "High-resolution soil moisture mapping in northern boreal forests using SMAP data and downscaling techniques" by Jääskeläinen et al.
- 1. Finnish Meteorological Institute
- 2. University of Helsinki
Description
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).
Additional details
Identifiers
- URL
- https://etsin.fairdata.fi/dataset/01519f4d-47a0-4375-9b3a-78477452a149
- B2SHARE Legacy Record ID
- be17ee6ccb41407f8acd76fddc4a8519
FMI metadata
- Parameter
- Topic category
- environment
Parameter name
:
Soil moisture at -5cm
Parameter unit
:
m3/m3
Parameter description
:
sm
Parameter name
:
Soil moisture at -5cm, masked
Parameter unit
:
m3/m3
Parameter description
:
sm_masked
Temporal Coverage
Ranges:
Start date: 2019-04-30
End date: 2024-10-14
End date: 2024-10-14