The Artificial Intelligence dataset for forest Geographical Applications (TAIGA)

The dataset consists of a VNIR hyperspectral image, forest variable data, and the relevant metadata. The TAIGA data area are from the southern boreal zone of Finland, in the vicinity of Hyytiälä forestry field station (61deg50’44”N, 24deg17’10”E), mostly covered by managed boreal forests, agricultur...

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Bibliographic Details
Main Author: Mõttus, Matti
Format: Dataset
Language:unknown
Published: Matti Mõttus 2021
Subjects:
hyperspectral
boreal forest
Geosciences
Geotieteet
Geovetenskaper
Forestry
Metsätiede
Skogsvetenskap
Computer and information sciences
FOS Computer and information sciences
Tietojenkäsittely ja informaatiotieteet
Data- och informationsvetenskap
taiga
Online Access:https://dx.doi.org/10.23729/fe7ce882-8125-44e7-b0cf-ae652d7ed0d5
https://etsin.fairdata.fi/dataset/9d0e89aa-f81f-458d-a657-3f02edf9e61b
Description
Summary:The dataset consists of a VNIR hyperspectral image, forest variable data, and the relevant metadata. The TAIGA data area are from the southern boreal zone of Finland, in the vicinity of Hyytiälä forestry field station (61deg50’44”N, 24deg17’10”E), mostly covered by managed boreal forests, agricultural fields and wetlands. The airborne hyperspectral data were recorded under clear skies with 0.7 m pixel size on 15 June 2017. The forestry data are based on the stand-wise forest resource information gathered and processed by the Finnish Forest Centre. The data are stored as geolocated rasters in ENVI format.

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