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Göran Ståhl

affiliation not provided to SSRN

SCHOLARLY PAPERS

5

DOWNLOADS

367

TOTAL CITATIONS

5

Scholarly Papers (5)

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
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

Abstract:

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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
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)

Abstract:

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

2.

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
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

Abstract:

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

3.

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
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 82 (837,727)

Abstract:

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

4.

Evaluating the Performance of Mainstream Swedish Growth Models in Uneven-Aged Forestry Systems

Number of pages: 37 Posted: 13 Dec 2024
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 52 (1,052,702)
Citation 1

Abstract:

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boreal forestry, continuous cover forestry, growth models, Heureka system, model assessment, uneven-aged

5.

Evaluation of the long-term performance of current Swedish models for tree growth, recruitment and mortality for different stand structures

Number of pages: 55 Posted: 10 Mar 2026
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 22 (1,424,331)

Abstract:

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