Price, Clare and Elsner, Paul (2022) Uncertainty of historic GLAD forest data in temperate climates and implications for forest change modelling. ISPRS International Journal of Geo-Information 11 (3), p. 177. ISSN 2220-9964.
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Price_Elsner_2022_Uncertainty of Historic GLAD Forest Data in Temperate Climates and Implications for Fores Change Modelling.pdf - Published Version of Record Available under License Creative Commons Attribution. Download (7MB) | Preview |
Abstract
Forest loss and degradation are central problems in the context of climate change and biodiversity conservation. The identification of areas of loss relies on accurate base maps. Central datasets in this context are the products of the Global Land Analysis & Discovery (GLAD) project. Although the GLAD forest cover products are primarily intended to serve as a near real-time flag for areas of forest loss, its historic datasets are increasingly also being used in ways that go beyond this initial focus. To date, very little information is available on the performance of GLAD data in temperate regions. This study aims to address this research gap by comparing the GLAD baseline forest cover maps for the years 2000 and 2010 with UK national forest datasets. The results showed substantial commission errors, which highlight potential problems when deviating from the GLAD datasets’ intended use. GLAD data appear to be less useful in regions with a high proportion of medium to low-density canopy cover. In such cases, its application in forest models should only be used in conjunction and cross-calibration with good quality reference data.
Metadata
Item Type: | Article |
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Keyword(s) / Subject(s): | forest data, deforestation modelling, accuracy assessment |
School: | Birkbeck Faculties and Schools > Faculty of Humanities and Social Sciences > School of Social Sciences |
Depositing User: | Paul Elsner |
Date Deposited: | 13 Apr 2022 15:01 |
Last Modified: | 02 Aug 2023 18:16 |
URI: | https://eprints.bbk.ac.uk/id/eprint/47965 |
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