{"title":"Reconstructing the alarming fire history of Ankarafantsika National Park in northwestern Madagascar over a 35 year-period","authors":"Misa Rasolozaka , Dominik Schüßler , Johnny Randriafenontsoa , Fenohery Andriatsitohaina , Princia Rakotomamonjy , Harison Rabarison , Ute Radespiel","doi":"10.1016/j.rsase.2025.101521","DOIUrl":null,"url":null,"abstract":"<div><div>The extent of fires in tropical ecosystems is highly dynamic, and responses of tropical dry forests to fire seem to vary and are not well understood. This study reconstructs a 35-year long fire history of the dry forests in the Ankarafantsika National Park (ANP) in Madagascar. In recent years, forest fires have been reported in this region, potentially threatening habitat integrity and connectivity inside ANP. We assessed the fire dynamics with yearly Landsat satellite images from 1988 to 2023 (Landsat 4–5, Landsat 7, Landsat 8–9) by means of the Normalized Burn Ratio (NBR) and the differenced NBR (dNBR) with a 30m resolution. To validate the fire classification in addition to exemplary ground truthing, 350 random points were selected across ANP and visually classified based on yearly Red Green Blue false-color composites and their corresponding dNBR images. Inside ANP, 70 % of the vegetation burnt at least once, while 18 % burnt even more than three times. Fire distribution was heterogenous with fires being more frequent in the north than in the south of ANP. The extent of burnt areas fluctuated over the years peaking in 2016 with 229 km<sup>2</sup> (22 % of the park vegetation). Fires recurred after 1–34 years, but more frequently than expected after 3–5 years. Areas requiring urgent conservation attention are highlighted and a baseline for developing fire management strategies is provided. Finally, this study demonstrates that ground truthing is essential to implement an analytical pipeline to correctly infer burnt and unburnt vegetation parts from series of satellite pictures.</div></div>","PeriodicalId":53227,"journal":{"name":"Remote Sensing Applications-Society and Environment","volume":"38 ","pages":"Article 101521"},"PeriodicalIF":3.8000,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing Applications-Society and Environment","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352938525000746","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The extent of fires in tropical ecosystems is highly dynamic, and responses of tropical dry forests to fire seem to vary and are not well understood. This study reconstructs a 35-year long fire history of the dry forests in the Ankarafantsika National Park (ANP) in Madagascar. In recent years, forest fires have been reported in this region, potentially threatening habitat integrity and connectivity inside ANP. We assessed the fire dynamics with yearly Landsat satellite images from 1988 to 2023 (Landsat 4–5, Landsat 7, Landsat 8–9) by means of the Normalized Burn Ratio (NBR) and the differenced NBR (dNBR) with a 30m resolution. To validate the fire classification in addition to exemplary ground truthing, 350 random points were selected across ANP and visually classified based on yearly Red Green Blue false-color composites and their corresponding dNBR images. Inside ANP, 70 % of the vegetation burnt at least once, while 18 % burnt even more than three times. Fire distribution was heterogenous with fires being more frequent in the north than in the south of ANP. The extent of burnt areas fluctuated over the years peaking in 2016 with 229 km2 (22 % of the park vegetation). Fires recurred after 1–34 years, but more frequently than expected after 3–5 years. Areas requiring urgent conservation attention are highlighted and a baseline for developing fire management strategies is provided. Finally, this study demonstrates that ground truthing is essential to implement an analytical pipeline to correctly infer burnt and unburnt vegetation parts from series of satellite pictures.
期刊介绍:
The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems