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Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics

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Published in:Forestry Studies
Format: Online Article RSS Article
Published: 2024
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container_title Forestry Studies
description
discipline_display Forests and Forestry
discipline_facet Forests and Forestry
format Online Article
RSS Article
genre Journal Article
id rss_article:71416
institution FRELIP
journal_source_facet Forestry Studies
publishDate 2024
publishDateSort 2024
record_format rss_article
spellingShingle Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics
Forests and Forestry
General
Forests and Forestry
sub_discipline_display General
sub_discipline_facet General
subject_display Forests and Forestry
General
Forests and Forestry
Forests and Forestry
General
Forests and Forestry
subject_facet Forests and Forestry
General
Forests and Forestry
title Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics
title_auth Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics
title_full Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics
title_fullStr Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics
title_full_unstemmed Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics
title_short Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics
title_sort forest stand height predicted from icesat-2 atlas data for forest inventory and comparison to airborne laser scanning metrics
topic Forests and Forestry
General
Forests and Forestry
url https://sciendo.com/article/10.2478/fsmu-2024-0001