Estimating vegetation biomass and cover across large plots in shrub and grass dominated drylands using terrestrial lidar and machine learning (Q145644): Difference between revisions

From geokb
(‎Changed an Item: Added Pubs Warehouse indexId value to item)
Tag: Reverted
(‎Changed an Item: added OpenAlex ID claim)
 
(5 intermediate revisions by the same user not shown)
Property / USGS Publications Warehouse IndexID
 
Property / USGS Publications Warehouse IndexID: 70192340 / rank
Normal rank
 
Property / USGS Publications Warehouse IndexID: 70192340 / reference
 
Property / USGS Publications Warehouse IndexID
 
Property / USGS Publications Warehouse IndexID: 70192340 / rank
 
Normal rank
Property / USGS Publications Warehouse IndexID: 70192340 / reference
 
Property / addresses subject
 
Property / addresses subject: Factors Affecting Sagebrush Ecosystems and Wildlife Conservation / rank
 
Normal rank
Property / addresses subject: Factors Affecting Sagebrush Ecosystems and Wildlife Conservation / reference
 
Property / addresses subject
 
Property / addresses subject: Mapping Forests with Lidar Remote Sensing / rank
 
Normal rank
Property / addresses subject: Mapping Forests with Lidar Remote Sensing / reference
 
Property / addresses subject
 
Property / addresses subject: Impact of Climate Change on Forest Wildfires / rank
 
Normal rank
Property / addresses subject: Impact of Climate Change on Forest Wildfires / reference
 
Property / OpenAlex ID
 
Property / OpenAlex ID: W2763455760 / rank
 
Normal rank

Latest revision as of 15:41, 12 September 2024

a Article (Journal Article) published by Elsevier as part of series - Ecological Indicators
Language Label Description Also known as
English
Estimating vegetation biomass and cover across large plots in shrub and grass dominated drylands using terrestrial lidar and machine learning
a Article (Journal Article) published by Elsevier as part of series - Ecological Indicators

    Statements