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Svetlana Saarela

Norwegian University of Life Sciences

  • Norwegian University of Life Sciences

SCHOLARLY PAPERS

5

DOWNLOADS

548

TOTAL CITATIONS

8

Scholarly Papers (5)

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1.

Global and Boreal Estimates of Woody Aboveground Biomass for 2020: Filling GEDI’s Northern Data Gap with ICESat-2 and Harmonized Landsat Sentinel

Number of pages: 65 Posted: 21 Nov 2025
Laura Duncanson, Paul Montesano, Amy L. Neuenschwander, Ali Zarringhalam, Nathan Thomas, David Minor, Michael A. Wulder, Joanne C. White, Eric Joseph Guenther, Tuo Feng, Veronika Leitold, Steven Hancock, John Armston, Stefano Puliti, Alex Mandel, S Shah, Carlos Alberto Silva, Matthew Purslow, Jamis Bruening, Johannes Breidenbach, Erik Næsset, Svetlana Saarela, Neha Hunka, James Kellner, Sean P. Healey, Dmitry Schepaschenko, Jörgen Wallerman, Christopher S.R. Neigh, Nuno Carvalhais and Ralph Dubayah
University of Maryland, College Park, affiliation not provided to SSRN, University of Texas at Austin, University of Maryland, Edge Hill University, University of Maryland, Government of Canada - Canadian Forest Service, Government of Canada - Canadian Forest Service, affiliation not provided to SSRN, University of Maryland, University of Maryland, University of Edinburgh, University of Maryland, College Park, Norwegian Institute of Bioeconomy Research, affiliation not provided to SSRN, Government of the United States of America - Jet Propulsion Laboratory, University of Florida, University of Edinburgh, University of Maryland, Norwegian Institute of Bioeconomy Research, Norwegian University of Life Sciences, Norwegian University of Life Sciences, University of Maryland, Brown University, USDA Forest Service, International Institute of Applied Systems Analysis (IIASA), Swedish University of Agricultural Sciences, NASA, Max Planck Institute for Biogeochemistry and University of Maryland, College Park
Downloads 174 (435,504)
Citation 1

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biomass, forest, lidar, GEDI, ICESat-2, HLS, Boreal

2.

Handling Single-Year Big Data in Forest Inventory Systems Based on Remote Sensing and Multi-Temporal Data Assimilation

Downloads 128 (572,948)
Citation 1

Handling Single-Year Big Data in Forest Inventory Systems Based on Remote Sensing and Multi-Temporal Data Assimilation

Number of pages: 33 Posted: 23 May 2024
Svetlana Saarela, Terje Gobakken, Hans Ole Ørka, Ole Martin Bollandsås, Erik Næsset and Göran Ståhl
Norwegian University of Life Sciences, Norwegian University of Life Sciences, Norwegian University of Life Sciences, Norwegian University of Life Sciences, Norwegian University of Life Sciences and affiliation not provided to SSRN
Downloads 84 (785,882)
Citation 1

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Airborne Laser Scanning, Composite Prediction, Data assimilation, Digital Aerial Photogrammetry, Lidar, Optical Satellite Data, Sentinel-2

Handling Single-Year Big Data in Forest Inventory Systems Based on Remote Sensing and Multi-Temporal Data Assimilation

Number of pages: 39 Posted: 01 Jan 2025
Svetlana Saarela, Terje Gobakken, Hans Ole Ørka, Ole Martin Bollandsås, Erik Næsset and Göran Ståhl
Norwegian University of Life Sciences, Norwegian University of Life Sciences, Norwegian University of Life Sciences, Norwegian University of Life Sciences, Norwegian University of Life Sciences and affiliation not provided to SSRN
Downloads 44 (1,183,247)

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(1 to 7):Airborne Laser Scanning, Composite Prediction, data assimilation, Digital Aerial Photogrammetry, LiDAR, Optical Satellite Data, Sentinel-2.

3.

Mapping Large-Scale Pantropical Forest Canopy Height by Integrating Gedi Lidar and Tandem-X Insar Data

Downloads 84 (777,583)
Citation 3

Mapping Large-Scale Pantropical Forest Canopy Height by Integrating Gedi Lidar and Tandem-X Insar Data

Number of pages: 100 Posted: 31 Jul 2024
Wenlu Qi, John Armston, Changhyun Choi, Atticus Stovall, Svetlana Saarela, Matteo Pardini, Temilola Fatoyinbo, Konstantinos Papathanassiou, Adrian Pascual and Ralph Dubayah
affiliation not provided to SSRN, University of Maryland, College Park, Seoul National University, University of Maryland, College Park, Norwegian University of Life Sciences, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Maryland, College Park and University of Maryland, College Park
Downloads 46 (1,131,842)

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Forest height, Fusion, Lidar, GEDI, InSAR, TanDEM-X, Model-based inference

Mapping Large-Scale Pantropical Forest Canopy Height by Integrating Gedi Lidar and Tandem-X Insar Data

Number of pages: 100 Posted: 01 Aug 2024
Wenlu Qi, John Armston, Changhyun Choi, Atticus Stovall, Svetlana Saarela, Matteo Pardini, Temilola Fatoyinbo, Konstantinos Papathanassiou, Adrian Pascual and Ralph Dubayah
affiliation not provided to SSRN, University of Maryland, College Park, Seoul National University, University of Maryland, College Park, Norwegian University of Life Sciences, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Maryland, College Park and University of Maryland, College Park
Downloads 38 (1,238,337)
Citation 3

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Forest height, Fusion, Lidar, GEDI, InSAR, TanDEM-X, Model-based inference

4.

A separable bootstrap variance estimation algorithm for hierarchical model-based inference of forest aboveground biomass using data from NASA's GEDI and Landsat missions

Environmetrics, 0[10.1002/env.2883]
Number of pages: 26 Posted: 21 Jun 2024 Last Revised: 23 Oct 2024
Svetlana Saarela, Sean P. Healey, Zhiqiang Yang, Bjørn-Eirik Roald, Paul L. Patterson, Terje Gobakken, Erik Næsset, Zhengyang Hou, Ronald E. McRoberts and Göran Ståhl
Norwegian University of Life Sciences, USDA Forest Service, USDA Forest Service, Norwegian University of Life Sciences (NMBU), USDA Forest Service, Norwegian University of Life Sciences, Norwegian University of Life Sciences, Beijing Forestry University, University of Minnesota - Minneapolis and affiliation not provided to SSRN
Downloads 83 (783,685)
Citation 3

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Aboveground biomass, GEDI, Landsat, Random forest, Regression analysis

5.

A Closer Look at Uncertainties in Forest Ecosystem Surveys Using Remotely Sensed Data and Model-Based Inference

Number of pages: 25 Posted: 30 Apr 2025
Göran Ståhl, Léna Gozé, Emanuele Papucci, Terje Gobakken, Svetlana Saarela, Magnus Ekström, Sean P. Healey, Zhiqiang Yang, James Kellner, Zhengyang Hou, Qing Xu, Hans Ole Ørka, Erik Næsset and Ronald E. McRoberts
affiliation not provided to SSRN, affiliation not provided to SSRN, Swedish University of Agricultural Sciences, Norwegian University of Life Sciences, Norwegian University of Life Sciences, affiliation not provided to SSRN, USDA Forest Service, USDA Forest Service, Brown University, Beijing Forestry University, affiliation not provided to SSRN, affiliation not provided to SSRN, Norwegian University of Life Sciences and University of Minnesota - Minneapolis
Downloads 79 (837,727)

Abstract:

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Model-based inference, superpopulation inference, remote sensing, uncertainty