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      Monitoring trends in global vegetation fire hot spots using MODIS data

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      https://www.riss.kr/link?id=A108574495

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      다국어 초록 (Multilingual Abstract)

      We identified hot spots trends in global vegetation fires based on 10-year long MODIS fire products.
      Additionally, we analyzed the occurrence of fire hot spots across climate zones, global land cover and global biodiversity hot spots. Fire hot spot zones were delineated by combining annual fire data with spatial statistics and space– time pattern mining. Spatial analysis shows no statistically significant trends of increase or decrease of vegetation fires from 2011 to 2020. Within the global vegetation fire hot spots, intensifying hot spots (38.1%) dominate followed by consecutive hot spots (30.5%), persistent hot spots (14.2%), sporadic hot spots (6.2%), oscillating hot spots (4.6%) and new hot spots (3.5%). The results shows that Africa has the highest fire hot spot area in the world which was dominated by a tropical savanna and hot semi-arid (steppe) climates.
      Future efforts should be focused towards the standardization of the techniques to enable identification of near real time vulnerable zones, predict fire risk areas, and evaluation of the management effectiveness for climate change mitigation and conservation policies.
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      We identified hot spots trends in global vegetation fires based on 10-year long MODIS fire products. Additionally, we analyzed the occurrence of fire hot spots across climate zones, global land cover and global biodiversity hot spots. Fire hot spot zo...

      We identified hot spots trends in global vegetation fires based on 10-year long MODIS fire products.
      Additionally, we analyzed the occurrence of fire hot spots across climate zones, global land cover and global biodiversity hot spots. Fire hot spot zones were delineated by combining annual fire data with spatial statistics and space– time pattern mining. Spatial analysis shows no statistically significant trends of increase or decrease of vegetation fires from 2011 to 2020. Within the global vegetation fire hot spots, intensifying hot spots (38.1%) dominate followed by consecutive hot spots (30.5%), persistent hot spots (14.2%), sporadic hot spots (6.2%), oscillating hot spots (4.6%) and new hot spots (3.5%). The results shows that Africa has the highest fire hot spot area in the world which was dominated by a tropical savanna and hot semi-arid (steppe) climates.
      Future efforts should be focused towards the standardization of the techniques to enable identification of near real time vulnerable zones, predict fire risk areas, and evaluation of the management effectiveness for climate change mitigation and conservation policies.

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      참고문헌 (Reference) 논문관계도

      1 "https:// zenodo. org/ record/ 32618 07#. YYtiF 2BByUk"

      2 "https:// www. scopus. com/ home"

      3 "https:// www. conse rvati on. org/ prior ities/ biodi versi ty- hotsp ots"

      4 "https:// lpdaac. usgs. gov/ produ cts/ mcd64 a1v006"

      5 "https:// firms. modaps. eosdis. nasa. gov/"

      6 "http:// www. cepf. net/ resou rces/ hotsp ots/ Pages/ defau lt. aspx"

      7 Swetnam, T. W, "Vegetation Fires and Global Change, 21" Kessel publishing house 2013

      8 Harris, N. L, "Using spatial statistics to identify emerging hot spots of forest loss" 12 : 024012-, 2017

      9 Peel, M. C, "Updated world map of the Köppen-Geiger climate classification" 11 (11): 1633-1644, 2007

      10 Bojinski, S, "The concept of essential climate variables in support of climate research, applications, and policy" 95 (95): 1431-1443, 2014

      1 "https:// zenodo. org/ record/ 32618 07#. YYtiF 2BByUk"

      2 "https:// www. scopus. com/ home"

      3 "https:// www. conse rvati on. org/ prior ities/ biodi versi ty- hotsp ots"

      4 "https:// lpdaac. usgs. gov/ produ cts/ mcd64 a1v006"

      5 "https:// firms. modaps. eosdis. nasa. gov/"

      6 "http:// www. cepf. net/ resou rces/ hotsp ots/ Pages/ defau lt. aspx"

      7 Swetnam, T. W, "Vegetation Fires and Global Change, 21" Kessel publishing house 2013

      8 Harris, N. L, "Using spatial statistics to identify emerging hot spots of forest loss" 12 : 024012-, 2017

      9 Peel, M. C, "Updated world map of the Köppen-Geiger climate classification" 11 (11): 1633-1644, 2007

      10 Bojinski, S, "The concept of essential climate variables in support of climate research, applications, and policy" 95 (95): 1431-1443, 2014

      11 Abdurrahman, M. I, "Stubble burning : Effects on health & environment, regulations and management practices" 2 : 100011-, 2020

      12 Hantson, S, "Strengths and weaknesses of MODIS hotspots to characterize global fire occurrence" 131 : 152-159, 2013

      13 Singh, M, "Spatial-temporal variations in deforestation hotspots in Sumatra and Kalimantan from 2001–2018" 2021

      14 Reddy, C. S, "Significant decline of forest fires in Nilgiri biosphere reserve" 11 : 172-185, 2018

      15 Chu, T, "Remote sensing techniques in monitoring post-fire effects and patterns of forest recovery in boreal forest regions : A review" 6 (6): 470-520, 2014

      16 Reddy, C. S, "Remote sensing enabled essential biodiversity variables for biodiversity assessment and monitoring : Technological development and potentials" 30 (30): 1-14, 2021

      17 Forkel, M, "Recent global and regional trends in burned area and their compensating environmental controls" 1 (1): 051005-, 2019

      18 Skidmore, A. K, "Priority list of biodiversity metrics to observe from space" 5 (5): 896-906, 2021

      19 Getis, A, "Perspectives on spatial data analysis" Springer 127-145, 2010

      20 Reddy, C. S, "Nationwide assessment of forest burnt area in India using resourcesat-2 AWiFS data" 112 (112): 1521-1532, 2017

      21 Lizundia-Loiola, J, "Implementation of the Burned Area Component of the Copernicus Climate Change Service : From MODIS to OLCI Data" 13 (13): 4295-, 2021

      22 Reddy, C. S, "Identification and characterization of spatio-temporal hotspots of forest fires in South Asia" 191 (191): 791-, 2019

      23 Chuvieco, E, "Historical background and current developments for mapping burned area from satellite earth observation" 225 : 45-64, 2019

      24 Tyukavina, A, "Global trends of forest loss due to fire from 2001 to 2019" 3 : 825190-, 2022

      25 Korontzi, S, "Global distribution of agricultural fires in croplands from 3 years of Moderate Resolution Imaging Spectroradiometer (MODIS) data" 2006

      26 Aldersley, A, "Global and regional analysis of climate and human drivers of wildfire" 409 (409): 3472-3481, 2011

      27 Manaswini, G, "Geospatial monitoring and prioritization of forest fire incidences in Andhra Pradesh, India" 187 (187): 616-, 2015

      28 Chuvieco, E, "Generation and analysis of a new global burned area product based on MODIS 250 m reflectance bands and thermal anomalies" 10 (10): 2015-2031, 2018

      29 Boschetti, L, "GWIS national and sub-national fire activity data from the NASA MODIS Collection 6 Burned Area Product in support of policy making, carbon inventories and natural resource management, developed under NASA Applied Sciences grant #80NSSC18K0400, Using the NASA Polar Orbiting Fire Product Record to Enhance and Expand the Global Wildfire Information System (GWIS)"

      30 Nasi, R, "Forest fire and biological diversity" 53 : 36-40, 2002

      31 Smith, R, "Estimating the area of stubble burning from the number of active fires detected by satellite" 109 (109): 95-106, 2007

      32 Pereira, H. M, "Essential biodiversity variables" 339 (339): 277-278, 2013

      33 "ESA"

      34 Pacheco, P, "Deforestation fronts: Drivers and responses in a changing world"

      35 Saranya, K. R. L, "Decadal time scale monitoring of forest fires in similipal biosphere reserve, India using remote sensing and GIS" 186 : 3283-3296, 2014

      36 Moritz, M. A, "Current fire regimes, impacts, and the likely changes temperate-Mediterranean North America" 143-, 2013

      37 García, M, "Characterizing global fire regimes from satellite-derived products" 13 (13): 699-, 2022

      38 Unnikrishnan, A, "Characterizing distribution of forest fires in Myanmar using earth observations and spatial statistics tool" 48 (48): 227-234, 2020

      39 Reddy, C. S, "Characterising vegetation fire dynamics in Myanmar and South Asian countries" 48 (48): 1829-1843, 2020

      40 Pereira, A. A, "Burned area mapping in the Brazilian Savanna using a one-class support vector machine trained by active fires" 9 (9): 1161-, 2017

      41 Hari Krishna, P, "Assessment of Increasing threat of forest fires in Rajasthan, India using multi-temporal remote sensing data(2005–2010)" 102 (102): 1288-1297, 2012

      42 Justice, C. O, "An overview of MODIS land data processing and product status" 83 : 3-15, 2002

      43 Giglio, L, "An enhanced contextual fire detection algorithm for MODIS" 87 (87): 273-282, 2003

      44 Lizundia-Loiola, J, "A spatio-temporal active-fire clustering approach for global burned area mapping at 250 m from MODIS data" 236 : 111493-, 2020

      45 Andela, N, "A human-driven decline in global burned area" 356 (356): 1356-1362, 2017

      46 Artes, T. V, "A global wildfire dataset for the analysis of fire regimes and fire behavior" 6 : 296-, 2019

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