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  1. Journal Article

Application of Multi-Source Remote Sensing Data and Machine Learning for Surface Soil Moisture Mapping in Temperate Forests of Central Japan

https://repository.ffpri.go.jp/records/2004706
https://repository.ffpri.go.jp/records/2004706
addbd4ef-447d-408c-80d7-86c219107404
Item type デフォルトアイテムタイプ(シンプル)_学術雑誌論文(1)
PubDate 2025-01-14
Title
Title Application of Multi-Source Remote Sensing Data and Machine Learning for Surface Soil Moisture Mapping in Temperate Forests of Central Japan
Language en
Creator Win Kyaw

× Win Kyaw

en Win Kyaw

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Sato Tamotsu

× Sato Tamotsu

en Sato Tamotsu

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Tsuyuki Satoshi

× Tsuyuki Satoshi

en Tsuyuki Satoshi

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Keyword
Subject machine learning, remote sensing, surface soil moisture, temperate forests
Publisher
Publisher MDPI
Language
Language eng
Resource Type
Resource Type(Simple) journal article
Relation
Identifier Type DOI
Related Identifier https://doi.org/10.3390/info15080485
Source Identifier
Source Identifier Type EISSN
Source Identifier 2078-2489
Bibliographic Information en : Information

Volume Number 15, Issue Number 8, p. 485, Issue Date 2024-08-15
Reference Number
FR2024-08-08
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