Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Land cover changes and driving factors in highland peatlands of Humbang Hasundutan, Indonesia, based on multi-temporal remote sensing

Bibliographic Data

ID19587111
AuthorsSarah Patumona Manalu (0000-0002-3727-8079, Universitas Sumatera Utara, corresponding author), T Sabrina (0000-0003-2507-6506, Universitas Sumatera Utara), Rahmawaty Rahmawaty (0000-0002-2052-2813, Universitas Sumatera Utara), Delvian Delvian (0000-0001-8849-0697, Universitas Sumatera Utara), Oding Affandi (0000-0003-3480-0092, Universitas Sumatera Utara)
Year2026
Volume26
Pages101354
Publication date2026-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTrees Forests and People (JOURNAL)
Journal identifiersISSN: 2666-7193 • E-ISSN: 2666-7193
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.tfp.2026.101354
OpenAlexW7164855694
LanguageEN
References cited38

Highland peatlands are increasingly subjected to land-use pressures that threaten their ecological functions and carbon storage capacity. This study analyzed land-cover change, vegetation dynamics, and peatland-related carbon emissions in Humbang Hasundutan Regency, North Sumatra, Indonesia, using multi-temporal Landsat imagery (2014, 2019, and 2023), vegetation indices (NDVI and GNDVI), and GIS-based spatial analysis supported by field validation. The results revealed substantial peatland transformation, characterized by an increase in cultivated land from 2,906 ha (47.0%) in 2014 to 4,364 ha (70.6%) in 2023, while natural forest declined from 1,642 ha to 244 ha, representing an 85.1% reduction. Built-up land expanded from 115 ha to 1,351 ha, reflecting increasing infrastructure and settlement development. Land-cover transition analysis indicated that the largest conversions involved open land and natural forest being transformed into cultivation areas. Vegetation index analysis showed that cultivated peatlands were predominantly associated with moderate vegetation density (NDVI and GNDVI values of 0.6–0.8), whereas the remaining natural forests exhibited values exceeding 0.8, indicating dense canopy cover. Estimated net greenhouse gas emissions reached 48,609 tCO2e yr−1, with biomass loss from deforestation contributing approximately 86% of total emissions. The land-cover classification achieved high reliability, with an overall Kappa coefficient of 95%. These findings demonstrate a rapid transition from natural peatland ecosystems toward intensive land use, resulting in ecological degradation, reduced forest cover, and increased carbon emissions. This study contributes to the limited body of knowledge on tropical highland peatlands and highlights the importance of sustainable land-use planning, peatland conservation, and continuous monitoring to support long-term ecosystem resilience

Biomass (ecology) · Deforestation (computer science) · Ecosystem · Greenhouse gas · Land cover · Land use · Land use, land-use change and forestry · Peat · Vegetation (pathology) · Fire effects on ecosystems · Peatlands and Wetlands Ecology · Remote Sensing in Agriculture

  • Current and future CO 2 emissions from drained peatlands in Southeast Asia

    Open Access•A Hooijer, Susan Page et al.•Biogeosciences•2010

  • The underappreciated potential of peatlands in global climate change mitigation strategies

    Open Access•Jens Leifeld, Lorenzo Menichetti•Nature Communications•2018

  • Global and regional importance of the tropical peatland carbon pool

    Open Access•Susan Page, Susan E Page et al.•Global Change Biology•2011

  • Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s

    Open Access•Jiyuan Liu, Wenhui Kuang et al.•Journal of Geographical Sciences•2014

  • Year (1978–2017) human settlement changes in China reflected by impervious surfaces from satellite remote sensing

    Open Access•Peng Gong, Xuecao Li et al.•Science Bulletin•2019

  • Global peatland dynamics since the Last Glacial Maximum

    Open Access•Zicheng Yu, Julie Loisel et al.•Geophysical Research Letters•2010

  • Accuracy Assessment of Land Use/Land Cover Classification Using Remote Sensing and GIS

    Open Access•Sophia Sudi Rwanga, Julius Musyoka Ndambuki•International Journal of…•2017

  • Global Consequences of Land Use

    Open Access•Jonathan A Foley, Ruth Defries et al.•Science•2005

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae