JOURNAL ARTICLE
Satellite‐Derived Productivity Outputs for Land Degradation Assessment Vary With Biome and Rainfall.
Published In: Land Degradation & Development, 2025, v. 36, n. 9. P. 2913 1 of 3
Database: Environment Complete 2 of 3
Authored By: Seymour, Colleen L.; Seaton, Dylan; Khatieb, Sediqa; Letsatsi, Nthabiseng; Skowno, Andrew; Tokura, Wataru; van der Merwe, Stephni; Visser, Vernon; von Maltitz, Graham 3 of 3
Abstract
Estimates of the extent of land degradation vary dramatically. To quantify the extent and location of land degradation globally, the United Nations Convention to Combat Desertification (UNCCD) asks member countries to report on land degradation every four years, providing crucial baseline and change data. Finding remotely sensed products that best capture degradation is central to this reporting. Here, we compare assessments for South Africa's Trajectory of Land Productivity using the Trends.Earth tool, which allows use of various remotely sensed data and climate inputs (Land Productivity Degradation Models, LPDMs). These differ in how they account for precipitation, allowing countries to choose the most appropriate for their context. We compare extent and location of degraded, stable or improved Productivity indicator pixels as identified by five different LPDMs for the country over the UNCCD 2022 reporting period (2016–2019), and whether this varied with biome. The LPDMs differed in percentage of area identified as degraded. The most pessimistic identified 35% degraded and 4% improved, the most optimistic, 15% as degraded, and > 70% improved. LPDMs also differed in where degradation was identified. Models that account for rainfall were more likely to classify a location favorably than those that did not account for rainfall, particularly in shrubland biomes. South Africa's Grasslands were less likely than other biomes to be classified as degraded. Between 59%–78% of the country's area experienced drought over the reporting period, which may have accentuated differences between LPDM outputs. Mapping and monitoring degradation over space and time is crucial; to achieve this, all LPDM outputs should be carefully assessed by ecologists with a working knowledge of the landscapes of interest, supported by field validation data. This approach ensures that the most suitable remotely sensed models are used in national monitoring and reporting. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Land Degradation & Development. 2025/05, Vol. 36, Issue 9, p2913
- Document Type:Article
- Subject Area:Science
- Publication Date:2025
- ISSN:1085-3278
- DOI:10.1002/ldr.5541
- Accession Number:186460634
- Copyright Statement:Copyright of Land Degradation & Development is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.