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A Model-Dependent Method for Monitoring Subtle Changes in Vegetation Height in the Boreal-Alpine Ecotone Using Bi-Temporal, Three Dimensional Point Data from Airborne Laser Scanning 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 15
作者:  Naesset, Erik;  Gobakken, Terje;  McRoberts, Ronald E.
收藏  |  浏览/下载：45/0  |  提交时间：2019/10/08
Forest monitoring  Global change  Laser scanning  Small trees  Tree growth  Model-dependent inference  Tree migration  
The Role and Need for Space-Based Forest Biomass-Related Measurements in Environmental Management and Policy 期刊论文
SURVEYS IN GEOPHYSICS, 2019, 卷号: 40, 期号: 4, 页码: 757-778
作者:  Herold, Martin;  Carter, Sarah;  Avitabile, Valerio;  Espejo, Andres B.;  Jonckheere, Inge;  Lucas, Richard;  McRoberts, Ronald E.;  Naesset, Erik;  Nightingale, Joanne;  Petersen, Rachael;  Reiche, Johannes;  Romijn, Erika;  Rosenqvist, Ake;  Rozendaal, Danae M. A.;  Seifert, Frank
收藏  |  浏览/下载：33/0  |  提交时间：2019/10/08
Remote sensing  Climate change  Carbon stocks  Reducing emissions from deforestation and forest degradation (REDD)  Sustainable Development Goals (SDGs)  
Prediction of stem diameter and biomass at individual tree crown level with advanced machine learning techniques 期刊论文
IFOREST-BIOGEOSCIENCES AND FORESTRY, 2019, 卷号: 12, 页码: 323-329
作者:  Malek, Salim;  Miglietta, Franco;  Gobakken, Terje;  Naesset, Erik;  Gianelle, Damiano;  Dalponte, Michele
收藏  |  浏览/下载：23/0  |  提交时间：2019/11/07