1
|
Harrison ME, Deere NJ, Imron MA, Nasir D, Adul, Asti HA, Aragay Soler J, Boyd NC, Cheyne SM, Collins SA, D’Arcy LJ, Erb WM, Green H, Healy W, Hendri, Holly B, Houlihan PR, Husson SJ, Iwan, Jeffers KA, Kulu IP, Kusin K, Marchant NC, Morrogh-Bernard HC, Page SE, Purwanto A, Ripoll Capilla B, de Rivera Ortega OR, Santiano, Spencer KL, Sugardjito J, Supriatna J, Thornton SA, Frank van Veen FJ, Yulintine, Struebig MJ. Impacts of fire and prospects for recovery in a tropical peat forest ecosystem. Proc Natl Acad Sci U S A 2024; 121:e2307216121. [PMID: 38621126 PMCID: PMC11047076 DOI: 10.1073/pnas.2307216121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 12/02/2023] [Indexed: 04/17/2024] Open
Abstract
Uncontrolled fires place considerable burdens on forest ecosystems, compromising our ability to meet conservation and restoration goals. A poor understanding of the impacts of fire on ecosystems and their biodiversity exacerbates this challenge, particularly in tropical regions where few studies have applied consistent analytical techniques to examine a broad range of ecological impacts over multiyear time frames. We compiled 16 y of data on ecosystem properties (17 variables) and biodiversity (21 variables) from a tropical peatland in Indonesia to assess fire impacts and infer the potential for recovery. Burned forest experienced altered structural and microclimatic conditions, resulting in a proliferation of nonforest vegetation and erosion of forest ecosystem properties and biodiversity. Compared to unburned forest, habitat structure, tree density, and canopy cover deteriorated by 58 to 98%, while declines in species diversity and abundance were most pronounced for trees, damselflies, and butterflies, particularly for forest specialist species. Tracking ecosystem property and biodiversity datasets over time revealed most to be sensitive to recurrent high-intensity fires within the wider landscape. These megafires immediately compromised water quality and tree reproductive phenology, crashing commercially valuable fish populations within 3 mo and driving a gradual decline in threatened vertebrates over 9 mo. Burned forest remained structurally compromised long after a burn event, but vegetation showed some signs of recovery over a 12-y period. Our findings demonstrate that, if left uncontrolled, fire may be a pervasive threat to the ecological functioning of tropical forests, underscoring the importance of fire prevention and long-term restoration efforts, as exemplified in Indonesia.
Collapse
Affiliation(s)
- Mark E. Harrison
- Centre for Ecology and Conservation, Faculty of Environment, Science and Economy, University of Exeter, PenrynTR10 9FE, United Kingdom
- School of Geography, Geology and the Environment, University of Leicester, LeicesterLE1 7RH, United Kingdom
| | - Nicolas J. Deere
- Durrell Institute of Conservation and Ecology, School of Anthropology and Conservation, University of Kent, CanterburyCT2 7NR, United Kingdom
| | - Muhammad Ali Imron
- Faculty of Forestry, Universitas Gadjah Mada, Yogyakarta55281, Indonesia
| | - Darmae Nasir
- Centre for the International Cooperation in Sustainable Management of Tropical Peatlands, University of Palangka Raya, Palangka Raya73112, Central Kalimantan, Indonesia
| | - Adul
- Yayasan Borneo Nature Indonesia, Palangka Raya73112, Central Kalimantan, Indonesia
| | - Hastin Ambar Asti
- Faculty of Forestry, Universitas Gadjah Mada, Yogyakarta55281, Indonesia
| | - Joana Aragay Soler
- Wildlife Conservation Research Unit, Department of Biology, University of Oxford, OxfordOX13 5QL, United Kingdom
| | - Nicholas C. Boyd
- Department of Modern Languages, University of Wales Aberystwyth, AberystwthSY23 1DE, United Kingdom
| | - Susan M. Cheyne
- School of Humanities and Social Sciences, Oxford Brookes University, OxfordOX3 0BP, United Kingdom
| | - Sarah A. Collins
- School of Biological and Marine Sciences, Faculty of Science and Engineering, University of Plymouth, PlymouthPL4 8AA, United Kingdom
| | - Laura J. D’Arcy
- Borneo Nature Foundation International, Tremough Innovation Centre, PenrynTR10 9TA, United Kingdom
| | - Wendy M. Erb
- K. Lisa Yang Center for Conservation Bioacoustics, Cornell Lab of Ornithology, Cornell University, Ithaca, NY14850
| | - Hannah Green
- School of Biological and Marine Sciences, Faculty of Science and Engineering, University of Plymouth, PlymouthPL4 8AA, United Kingdom
| | - William Healy
- Centre for Ecology and Conservation, Faculty of Environment, Science and Economy, University of Exeter, PenrynTR10 9FE, United Kingdom
| | - Hendri
- Yayasan Borneo Nature Indonesia, Palangka Raya73112, Central Kalimantan, Indonesia
| | - Brendan Holly
- Environmental Studies, Centre College, Danville, KY40422
| | - Peter R. Houlihan
- Center for Tropical Research, Institute of the Environment and Sustainability, University of California, Los Angeles, Los Angeles, CA90095-1496
| | - Simon J. Husson
- Borneo Nature Foundation International, Tremough Innovation Centre, PenrynTR10 9TA, United Kingdom
| | - Iwan
- Yayasan Borneo Nature Indonesia, Palangka Raya73112, Central Kalimantan, Indonesia
| | - Karen A. Jeffers
- School of Humanities and Social Sciences, Oxford Brookes University, OxfordOX3 0BP, United Kingdom
| | - Ici P. Kulu
- Centre for the International Cooperation in Sustainable Management of Tropical Peatlands, University of Palangka Raya, Palangka Raya73112, Central Kalimantan, Indonesia
| | - Kitso Kusin
- Centre for the International Cooperation in Sustainable Management of Tropical Peatlands, University of Palangka Raya, Palangka Raya73112, Central Kalimantan, Indonesia
| | - Nicholas C. Marchant
- Wildlife Conservation Research Unit, Department of Biology, University of Oxford, OxfordOX13 5QL, United Kingdom
| | - Helen C. Morrogh-Bernard
- Centre for Ecology and Conservation, Faculty of Environment, Science and Economy, University of Exeter, PenrynTR10 9FE, United Kingdom
| | - Susan E. Page
- School of Geography, Geology and the Environment, University of Leicester, LeicesterLE1 7RH, United Kingdom
| | - Ari Purwanto
- Yayasan Borneo Nature Indonesia, Palangka Raya73112, Central Kalimantan, Indonesia
| | - Bernat Ripoll Capilla
- Borneo Nature Foundation International, Tremough Innovation Centre, PenrynTR10 9TA, United Kingdom
| | - Oscar Rodriguez de Rivera Ortega
- Department of Mathematics and Statistics, Faculty of Environment, Science and Economy, University of Exeter, ExeterEX4 4QF, United Kingdom
| | - Santiano
- Yayasan Borneo Nature Indonesia, Palangka Raya73112, Central Kalimantan, Indonesia
| | - Katie L. Spencer
- Durrell Institute of Conservation and Ecology, School of Anthropology and Conservation, University of Kent, CanterburyCT2 7NR, United Kingdom
| | - Jito Sugardjito
- Centre for Sustainable Energy and Resources Management, Universitas Nasional, Jakarta12520, Indonesia
- Faculty of Biology, Universitas Nasional, Jakarta12520, Indonesia
| | - Jatna Supriatna
- Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok16424, Indonesia
| | - Sara A. Thornton
- School of Geography, Geology and the Environment, University of Leicester, LeicesterLE1 7RH, United Kingdom
| | - F. J. Frank van Veen
- Centre for Ecology and Conservation, Faculty of Environment, Science and Economy, University of Exeter, PenrynTR10 9FE, United Kingdom
| | - Yulintine
- Centre for the International Cooperation in Sustainable Management of Tropical Peatlands, University of Palangka Raya, Palangka Raya73112, Central Kalimantan, Indonesia
| | - Matthew J. Struebig
- Durrell Institute of Conservation and Ecology, School of Anthropology and Conservation, University of Kent, CanterburyCT2 7NR, United Kingdom
| |
Collapse
|
2
|
Ningombam SS, Khatri P, Larson EJL, Dumka UC, Sarangi C, Vineeth R. Classification of MODIS fire emission data based on aerosol absorption Angstrom exponent retrieved from AERONET data. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 858:159898. [PMID: 36343809 DOI: 10.1016/j.scitotenv.2022.159898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 10/28/2022] [Accepted: 10/29/2022] [Indexed: 06/16/2023]
Abstract
Biomass burning emits a large quantity of gaseous pollutants and aerosols into the atmosphere, which perturbs the regional and global climate and has significant impacts on air quality and human health. In order to understand the temporal and spatial distributions of biomass burning and its contribution to aerosol optical and radiative impacts, we examined fire emission data and its contribution to aerosol optical and radiative impacts over six major hot-spot continents/sub-continents across the globe, namely North-Central (NC) Africa, South America, US-Hawaii, South Asia, South East Asia, and Australia-New Zealand, using long-term satellites, ground-based and re-analysis data during 2000-2021. The selected six sites contributed ∼70% of total global fire data. The classification of biomass burning, such as pre, active, and post burning phases, was performed based on the Absorption Angstrom Exponent (AAE) estimated from 55 AERONET (AErosol RObotic NETwork) stations. The study found the highest contribution of fire count (55 %) during the active burning phase followed by post (36 %) and pre (8 %) burning phases. Such high fire counts were associated with high absorption aerosol optical depth (AAOD) during the active fire event. Strong dominance of fine and coarse mode mixed aerosols were also observed during active and post fire regimes. High AAOD and low Extinction Angstrom Exponent (EAE) over NC Africa during the fire events suggested presence of mineral dust mixed with biomass burning aerosols. Brightness temperature, fire radiative power and fire count were also dominated by the active burning followed by post and pre burning phases. The maximum heating rate of 3.15 K day-1 was observed during the active fire events. The heating rate profile shows clear variations for three different fire regimes with the highest value of 1.80 K day-1 at ∼750 hPa altitude during the active fire event.
Collapse
Affiliation(s)
| | - Pradeep Khatri
- Center for Atmospheric and Oceanic Studies (CAOS), Graduate School of Science, Tohoku University, Japan
| | | | - Umesh Chandra Dumka
- Aryabhatta Research Institute of Observational Sciences (ARIES), Nainital, India
| | - Chandan Sarangi
- Department of Civil Engineering, Indian Institute of Technology Madras, Chennai, India
| | - R Vineeth
- Department of Civil Engineering, Indian Institute of Technology Madras, Chennai, India
| |
Collapse
|
3
|
Xiao C, Feng Z, Li P. Active fires show an increasing elevation trend in the tropical highlands. GLOBAL CHANGE BIOLOGY 2022; 28:2790-2803. [PMID: 35076960 DOI: 10.1111/gcb.16097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 01/11/2022] [Accepted: 01/12/2022] [Indexed: 06/14/2023]
Abstract
As an inherent element of the Earth's ecosystem, forest, and vegetation fires are one of the key contributors to and direct consequences of climate change. Given that topography is one of the key drivers of forest landscapes and fire behavior, it is important to clarify what the topographical characteristics and trends of global fire events are, particularly in the tropics. Here, we have investigated the variations in elevation of active fires at the continental to a global scale, including the tropics, the extra-tropics, the lowlands, and the highlands (greater than 200 m above sea level [asl]), using the available MODIS Collection 6 active fire products (2001-2019). The main conclusions are: (1) the annual totality (average of 4.5 million) of global active fire events decreased and over 97% of them occurred frequently below 1500 m asl. (2) The tropics and the highlands accounted for ~74% (±3%) and 71% (±2%) of global active fires, respectively, and 77% (±2%) were observed in the tropical highlands. (3) From the beginning of the 21st century, active fires in the highlands displayed an upward elevational trend, particularly in the tropics, while the opposite trend was observed for the lowlands. More importantly, the rate of the increasing elevation in the highlands had a greater magnitude than that of decreasing elevation in the lowlands. (4) Finally, the United Nations collaborative program on Reducing Emissions from Deforestation and Forest Degradation (UN-REDD) in Developing Countries seemed to slow down or even result in a reversal of the upward elevational trend of fire occurrences in the tropics for the partner countries, especially in the lowlands. In the context of global climate change and rampant fires, the trend of rising elevation for active fire occurrences, particularly in the tropical highlands, indicates that more vegetation burning events occur or will occur in hilly to mountainous areas, thus posing further threats to tropical forests and some important biodiversity refuges. More sustained efforts should be made by governments and the scientific community to instigate enhanced fire management practices and to conduct in-depth research programs.
Collapse
Affiliation(s)
- Chiwei Xiao
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Zhiming Feng
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Peng Li
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| |
Collapse
|
4
|
Fuel-Specific Aggregation of Active Fire Detections for Rapid Mapping of Forest Fire Perimeters in Mexico. FORESTS 2022. [DOI: 10.3390/f13010124] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Context and Background. Active fires have the potential to provide early estimates of fire perimeters, but there is a lack of information about the best active fire aggregation distances and how they can vary between fuel types, particularly in large areas of study under diverse climatic conditions. Objectives. The current study aimed at analyzing the effect of aggregation distances for mapping fire perimeters from active fires for contrasting fuel types and regions in Mexico. Materials and Methods. Detections of MODIS and VIIRS active fires from the period 2012–2018 were used to obtain perimeters of aggregated active fires (AGAF) at four aggregation distances (750, 1000, 1125, and 1500 m). AGAF perimeters were compared against MODIS MCD64A1 burned area for a total of 24 fuel types and regions covering all the forest area of Mexico. Results/findings. Optimum aggregation distances varied between fuel types and regions, with the longest aggregation distances observed for the most arid regions and fuel types dominated by shrubs and grasslands. Lowest aggregation distances were obtained in the regions and fuel types with the densest forest canopy and more humid climate. Purpose/Novelty. To our best knowledge, this study is the first to analyze the effect of fuel type on the optimum aggregation distance for mapping fire perimeters directly from aggregated active fires. The methodology presented here can be used operationally in Mexico and elsewhere, by accounting for fuel-specific aggregation distances, for improving rapid estimates of fire perimeters. These early fire perimeters could be potentially available in near-real time (at every satellite pass with a 12 h latency) in operational fire monitoring GIS systems to support rapid assessment of fire progression and fire suppression planning.
Collapse
|
5
|
Jain M, Saxena P, Sharma S, Sonwani S. Investigation of Forest Fire Activity Changes Over the Central India Domain Using Satellite Observations During 2001-2020. GEOHEALTH 2021; 5:e2021GH000528. [PMID: 34988345 PMCID: PMC8696561 DOI: 10.1029/2021gh000528] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Revised: 12/11/2021] [Accepted: 12/13/2021] [Indexed: 06/14/2023]
Abstract
Recurrent and large forest fires negatively impact ecosystem, air quality, and human health. Moderate Resolution Imaging Spectroradiometer fire product is used to identify forest fires over central India domain, an extremely fire prone region. The study finds that from 2001 to 2020, ∼70% of yearly forest fires over the region occurred during March (1,857.5 counts/month) and April (922.8 counts/month). Some years such as 2009, 2012, and 2017 show anomalously high forest fires. The role of persistent warmer temperatures and multiple climate extremes in increasing forest fire activity over central India is comprehensively investigated. Warmer period from 2006 to 2020 showed doubling and tripling of forest fire activity during forest fire (February-June; FMAMJ) and non-fire (July-January; JASONDJ) seasons, respectively. From 2015 JASONDJ to 2018 FMAMJ, central India experienced a severe heatwave, a rare drought and an extremely strong El Niño, the combined effect of which is linked to increased forest fires. Further, the study assesses quinquennial spatiotemporal changes in forest fire characteristics such as fire count density and average fire intensity. Deciduous forests of Jagdalpur-Gadchiroli Range and Indravati National Park in Chhattisgarh state are particularly fire prone (>61 fire counts/grid) during FMAMJ and many forest fires are of high intensity (>45 MW). Statistical associations link high near surface air temperature and low precipitation during FMAMJ to significantly high soil temperature, low soil moisture content, low evapotranspiration and low normalized difference vegetation index. This creates a significantly drier environment, conducive for high forest fire activity in the region.
Collapse
Affiliation(s)
- Madhavi Jain
- School of Environmental SciencesJawaharlal Nehru UniversityNew DelhiIndia
| | - Pallavi Saxena
- Department of Environmental SciencesHindu CollegeUniversity of DelhiNew DelhiIndia
| | - Som Sharma
- Space and Atmospheric Sciences DivisionPhysical Research LaboratoryAhmedabadIndia
| | - Saurabh Sonwani
- Department of Environmental StudiesZakir Husain Delhi CollegeUniversity of DelhiNew DelhiIndia
| |
Collapse
|
6
|
Automated Mapping for Long-Term Analysis of Shifting Cultivation in Northeast India. REMOTE SENSING 2021. [DOI: 10.3390/rs13061066] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Assessment of the spatio-temporal dynamics of shifting cultivation is important to understand the opportunities for land restoration. The past studies on shifting cultivation mapping of North-East (NE) India lack systematic assessment techniques. We have developed a decision tree-based multi-step threshold (DTMT) method for consistent and long-term mapping of shifting cultivation using Landsat data from 1975 to 2018. Widely used vegetation indices such as normalized difference vegetation index (NDVI), Normalized Burn Ratio (NBR) and its relative difference NBR (RdNBR) were integrated with the suitable thresholds in the classification, which yielded overall accuracy above 85%. A significant decrease in total shifting cultivation area was observed with an overall reduction of 75% from 1975–1976 to 2017–2018. The methodology presented in this study is reproducible with minimal inputs and can be useful to map similar changes by optimizing the index threshold values to accommodate relative differences for other landscapes. Furthermore, the crop-suitability maps generated by incorporating climate and soil factors prioritizes suitable land use of shifting cultivation plots. The Google Earth Engine (GEE) platform was employed for automatic mapping of the shifting cultivation areas at desired time intervals for facilitating seamless dissemination of the map products. Besides the novel DTMT method, the shifting cultivation and crop-suitability maps generated in this study, can aid in sustainable land management.
Collapse
|
7
|
Near Real-Time Automated Early Mapping of the Perimeter of Large Forest Fires from the Aggregation of VIIRS and MODIS Active Fires in Mexico. REMOTE SENSING 2020. [DOI: 10.3390/rs12122061] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
In contrast with current operational products of burned area, which are generally available one month after the fire, active fires are readily available, with potential application for early evaluation of approximate fire perimeters to support fire management decision making in near real time. While previous coarse-scale studies have focused on relating the number of active fires to a burned area, some local-scale studies have proposed the spatial aggregation of active fires to directly obtain early estimate perimeters from active fires. Nevertheless, further analysis of this latter technique, including the definition of aggregation distance and large-scale testing, is still required. There is a need for studies that evaluate the potential of active fire aggregation for rapid initial fire perimeter delineation, particularly taking advantage of the improved spatial resolution of the Visible Infrared Imaging Radiometer (VIIRS) 375 m, over large areas and long periods of study. The current study tested the use of convex hull algorithms for deriving coarse-scale perimeters from Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) active fire detections, compared against the mapped perimeter of the MODIS collection 6 (MCD64A1) burned area. We analyzed the effect of aggregation distance (750, 1000, 1125 and 1500 m) on the relationships of active fire perimeters with MCD64A1, for both individual fire perimeter prediction and total burned area estimation, for the period 2012–2108 in Mexico. The aggregation of active fire detections from MODIS and VIIRS demonstrated a potential to offer coarse-scale early estimates of the perimeters of large fires, which can be available to support fire monitoring and management in near real time. Total burned area predicted from aggregated active fires followed the same temporal behavior as the standard MCD64A1 burned area, with potential to also account for the role of smaller fires detected by the thermal anomalies. The proposed methodology, based on easily available algorithms of point aggregation, is susceptible to be utilized both for near real-time and historical fire perimeter evaluation elsewhere. Future studies might test active fires aggregation between regions or biomes with contrasting fuel characteristics and human activity patterns against medium resolution (e.g., Landsat and Sentinel) fire perimeters. Furthermore, coarse-scale active fire perimeters might be utilized to locate areas where such higher-resolution imagery can be downloaded to improve the evaluation of fire extent and impact.
Collapse
|
8
|
Li P, Xiao C, Feng Z, Li W, Zhang X. Occurrence frequencies and regional variations in Visible Infrared Imaging Radiometer Suite (VIIRS) global active fires. GLOBAL CHANGE BIOLOGY 2020; 26:2970-2987. [PMID: 32037661 DOI: 10.1111/gcb.15034] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Accepted: 01/09/2020] [Indexed: 06/10/2023]
Abstract
Active fires are considered to be the key contributor to, and critical consequence of, climate change. Quantifying the occurrence frequency and regional variations in global active fires is significant for assessing carbon cycling, atmospheric chemistry, and postfire ecological effects. Multiscale variations in fire occurrence frequencies have still never been fully investigated despite free access to global active fire products. We analyzed the occurrence frequencies of Visible Infrared Imaging Radiometer Suite (VIIRS) active fires at national, pan-regional (tropics and extratropics) to global scales and at hourly, monthly, and annual scales during 2012-2017. The results revealed that the accumulated occurrence frequencies of VIIRS global active fires were up to 12,193 × 104 , yet exhibiting slight fluctuations annually and with respect to the 2014-2016 El Niño event, especially during 2015. About 35.52% of VIIRS active fires occurred from July to September, particularly in August (13.06%), and typically between 10:00 and 13:00 Greenwich Mean Time (GMT; 42.96%) and especially at 11:00 GMT (17.65%). The total counts conform to a bimodal pattern with peaks in 5°-11°N (18.01%) and 5°-18°S (32.46%), respectively, alongside a unimodal distribution in terms of longitudes between 15°E and 30°E (32.34%). Tropical annual average of active fire (1,496.81 × 104 ) accounted for 75.83%. Nearly 30% were counted in Brazil, the Democratic Republic of the Congo, Indonesia, and Mainland Southeast Asia (MSEA). Fires typically occurred between June (or August) and October (or November) with far below-average rainfall in these countries, while those in MSEA primarily occurred between February and April during the dry season. They were primarily observed between 00:00 and 02:00 GMT, between 12:00 and 14:00 within each Zone Time. We believed that VIIRS global active fires products are useful for developing fire detection algorithms, discriminating occurrence types and ignition causes via correlation analyses with physical geographic elements, and assessment of their potential impacts.
Collapse
Affiliation(s)
- Peng Li
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
- Laos-China Joint Research Center for Resources and Environment, Vientiane, Lao PDR
| | - Chiwei Xiao
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
- Laos-China Joint Research Center for Resources and Environment, Vientiane, Lao PDR
- Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang, China
| | - Zhiming Feng
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Land and Resources, Beijing, China
| | - Wenjun Li
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Xianzhou Zhang
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| |
Collapse
|
9
|
A Synergetic Approach to Burned Area Mapping Using Maximum Entropy Modeling Trained with Hyperspectral Data and VIIRS Hotspots. REMOTE SENSING 2020. [DOI: 10.3390/rs12050858] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Southern European countries, particularly Spain, are greatly affected by forest fires each year. Quantification of burned area is essential to assess wildfire consequences (both ecological and socioeconomic) and to support decision making in land management. Our study proposed a new synergetic approach based on hotspots and reflectance data to map burned areas from remote sensing data in Mediterranean countries. It was based on a widely used species distribution modeling algorithm, in particular the Maximum Entropy (MaxEnt) one-class classifier. Additionally, MaxEnt identifies variables with the highest contribution to the final model. MaxEnt was trained with hyperspectral indexes (from Earth-Observing One (EO-1) Hyperion data) and hotspot information (from Visible Infrared Imaging Radiometer Suite Near Real-Time 375 m active fire product). Official fire perimeter measurements by Global Positioning System acted as a ground reference. A highly accurate burned area estimation (overall accuracy = 0.99%) was obtained, and the indexes which most contributed to identifying burned areas included Simple Ratio (SR), Red Edge Normalized Difference Vegetation Index (NDVI750), Normalized Difference Water Index (NDWI), Plant Senescence Reflectance Index (PSRI), and Normalized Burn Ratio (NBR). We concluded that the presented methodology enables accurate burned area mapping in Mediterranean ecosystems and may easily be automated and generalized to other ecosystems and satellite sensors.
Collapse
|
10
|
A Burned Area Mapping Algorithm for Chinese FengYun-3 MERSI Satellite Data. REMOTE SENSING 2017. [DOI: 10.3390/rs9070736] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
|
11
|
Tools for Assessing the Impacts of Climate Variability and Change on Wildfire Regimes in Forests. FORESTS 2015. [DOI: 10.3390/f6051476] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
|