Abstract
Vegetation fires are most common in South/Southeast Asian countries. For effective mitigation and control of fires, it is essential to quantify the spatial and temporal patterns, including the variability. In this study, we use Shannon’s entropy measure to quantify the heterogeneity or a degree of randomness in fires in Myanmar. We used VIIRS 375 m and MODIS 1 km satellite data to quantify the spatial and temporal variations in fire counts (FC) and burnt areas (BA). VIIRS fire analysis suggested the mean FC from 2012 to 2020 for Myanmar with 34,7930 FC per year, with the highest 403,292 in 2013 and a minimum of 254,106 in 2018. Most of the fires with high intensity (FRP) occurred in the dry season (February-March-April), with the highest intensity in March (~ 203,897MW). Temporal variations in BA suggested an average of 655,296.85 (km2) BA per year, with the highest in forests (411,125.75 km2), followed by croplands (159,908.93 km2) and grasslands (84,262.16 km2). Results suggested forest fires with higher entropies than agricultural fires. Specifically, the forest fires in central Myanmar bordering the southern Sagaing, Shan north, and Mandalay and Magway regions had higher entropies. Further, entropy values did not show significant variations with the elevation, except in northern Kachin, Shan (east), northwestern Sagaing, and forest lands in the Chin state and along Magway and Rakhine regions. The entropy index indicates variability and is a measure of disorder or a degree of uncertainty, such as randomness, unevenness, irregularity, and complexity. Thus, controlling the fires in regions with high entropy can be challenging. The results also identify hotspots of vegetation fires with less entropy for effective fire control and management.
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References
Albar, I., I. Jaya, B.H. Saharjo, B. Kuncahyo, and K.P. Vadrevu. 2018. Spatio-temporal analysis of land and forest fires in Indonesia using MODIS active fire dataset. In Land-atmospheric research applications in South and Southeast Asia, 105–127. Cham: Springer.
Altieri, L., D. Cocchi, and G. Roli. 2018. A new approach to spatial entropy measures. Environmental and Ecological Statistics 25 (1): 95–110.
Badarinath, K.V.S., and K.V. Prasad. 2011. Carbon dioxide emissions from forest biomass burning in India. Global Environmental Research 15: 45–52.
Badarinath, K.V.S., S.K. Kharol, K.M. Latha, T.K. Chand, V.K. Prasad, A.N. Jyothsna, and K. Samatha. 2007. Multiyear ground-based and satellite observations of aerosol properties over a tropical urban area in India. Atmospheric Science Letters 8 (1): 7–13.
Badarinath, K.V.S., S. Kumar Kharol, V. Krishna Prasad, A. Rani Sharma, E.U.B. Reddi, H.D. Kambezidis, and D.G. Kaskaoutis. 2008. Influence of natural and anthropogenic activities on UV index variations—A study over tropical urban region using ground based observations and satellite data. Journal of Atmospheric Chemistry 59 (3): 219–236.
Badarinath, K.V.S., S.K. Kharol, A.R. Sharma, and V.K. Prasad. 2009. Analysis of aerosol and carbon monoxide characteristics over Arabian Sea during crop residue burning period in the Indo-Gangetic Plains using multi-satellite remote sensing datasets. Journal of Atmospheric and Solar-Terrestrial Physics 71 (12): 1267–1276.
Biswas, S., K.D. Lasko, and K.P. Vadrevu. 2015a. Fire disturbance in tropical forests of Myanmar—Analysis using MODIS satellite datasets. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8 (5): 2273–2281.
Biswas, S., K.P. Vadrevu, Z.M. Lwin, K. Lasko, and C.O. Justice. 2015b. Factors controlling vegetation fires in protected and non-protected areas of Myanmar. PLoS One 10 (4): e0124346.
Biswas, S., K.P. Vadrevu, M.S. Mon, and C. Justice. 2021. Contemporary forest loss in Myanmar: Effect of democratic transition and subsequent timber bans on landscape structure and composition. Ambio 50 (4): 914–928.
Bond, W.J., and J.E. Keeley. 2005. Fire as a global ‘herbivore’: The ecology and evolution of flammable ecosystems. Trends in Ecology & Evolution 20 (7): 387–394.
Choi, Y., S.A. Vay, K.P. Vadrevu, A.J. Soja, J.H. Woo, S.R. Nolf, G.W. Sachse, G.S. Diskin, D.R. Blake, N.J. Blake, and H.B. Singh. 2008. Characteristics of the atmospheric CO2 signal as observed over the conterminous United States during INTEX‐NA. Journal of Geophysical Research: Atmospheres 113 (D7).
Chuvieco, E. 2009. Earth observation of wildland fires in Mediterranean ecosystems. Berlin: Springer.
Cover, T., and J. Thomas. 2006. Elements of information theory, 2nd ed. Hoboken: Wiley.
Crutzen, P.J., and M.O. Andreae. 1990. Biomass burning in the tropics: Impact on atmospheric chemistry and biogeochemical cycles. Science 250 (4988): 1669–1678.
Cui, H., B. Sivakumar, and V.P. Singh. 2018. Entropy applications in environmental and water engineering. Entropy 20 (8): 598.
Eva, H., and E.F. Lambin. 2000. Fires and land-cover change in the tropics: A remote sensing analysis at the landscape scale. Journal of Biogeography 27 (3): 765–776.
Giglio, L., J. Descloitres, C.O. Justice, and Y.J. Kaufman. 2003. An enhanced contextual fire detection algorithm for MODIS. Remote Sensing of Environment 87 (2–3): 273–282.
Giglio, L., C. Justice, L. Boschetti, D. Roy. 2015. MCD64A1 MODIS/Terra+Aqua Burned Area Monthly L3 Global 500m SIN Grid V006. distributed by NASA EOSDIS Land Processes DAAC, https://doi.org/10.5067/MODIS/MCD64A1.006. Accessed 2023-04-03.
Giglio, L., L. Boschetti, D.P. Roy, M.L. Humber, and C.O. Justice. 2018. The collection 6 MODIS burned area map** algorithm and product. Remote Sensing of Environment 217: 72–85.
Hough, J.L. 1993. Why burn the bush? Social approaches to bush-fire management in West African national parks. Biological Conservation 65 (1): 23–28.
Jaynes, E.T. 1979. Concentration of distributions at entropy maxima. In ET Jaynes: Papers on probability, statistics and statistical physics, 315.
Justice, C., G. Gutman, and K.P. Vadrevu. 2015. NASA land cover and land use change (LCLUC): An interdisciplinary research program. Journal of Environmental Management 148: 4–9.
Kant, Y., V.K. Prasad, and K.V.S. Badarinath. 2000. Algorithm for detection of active fire zones using NOAA AVHRR data. Infrared Physics & Technology 41 (1): 29–34.
Kaufman, Y.J., C.O. Justice, L.P. Flynn, J.D. Kendall, E.M. Prins, L. Giglio, D.E. Ward, W.P. Menzel, and A.W. Setzer. 1998. Potential global fire monitoring from EOS-MODIS. Journal of Geophysical Research: Atmospheres 103 (D24): 32215–32238.
Kharol, S.K., K.V.S. Badarinath, A.R. Sharma, D.V. Mahalakshmi, D. Singh, and V.K. Prasad. 2012. Black carbon aerosol variations over Patiala city, Punjab, India—A study during agriculture crop residue burning period using ground measurements and satellite data. Journal of Atmospheric and Solar-Terrestrial Physics 84: 45–51.
Lasko, K., and K. Vadrevu. 2018. Improved rice residue burning emissions estimates: Accounting for practice-specific emission factors in air pollution assessments of Vietnam. Environmental Pollution 236: 795–806.
Lasko, K., K.P. Vadrevu, V.T. Tran, E. Ellicott, T.T. Nguyen, H.Q. Bui, and C. Justice. 2017. Satellites may underestimate rice residue and associated burning emissions in Vietnam. Environmental Research Letters 12 (8): 085006.
Lasko, K., K.P. Vadrevu, and T.T.N. Nguyen. 2018. Analysis of air pollution over Hanoi, Vietnam using multi-satellite and MERRA reanalysis datasets. PLoS One 13 (5): e0196629.
Lata, K.M., C.H. Sankar Rao, V. Krishna Prasad, K.V.S. Badrinath, and V. Raghavaswamy. 2001. Measuring urban sprawl: A case study of Hyderabad. GIS Development 5 (12): 22–25.
Maruyama, T., T. Kawachi, and V.P. Singh. 2005. Entropy-based assessment and clustering of potential water resources availability. Journal of Hydrology 309 (1–4): 104–113.
Petropoulos, G.P., K.P. Vadrevu, and C. Kalaitzidis. 2013. Spectral angle mapper and object-based classification combined with hyperspectral remote sensing imagery for obtaining land use/cover map** in a Mediterranean region. Geocarto International 28 (2): 114–129.
Prasad, V.K., and K.V.S. Badarinth. 2004. Land use changes and trends in human appropriation of above ground net primary production (HANPP) in India (1961–98). Geographical Journal 170 (1): 51–63.
Prasad, K.V., and K.V.S. Badarinath. 2006. Soil surface nitrogen losses from agriculture in India: A regional inventory within agroecological zones (2000–2001). The International Journal of Sustainable Development and World Ecology 13 (3): 173–182.
Prasad, V.K., Y. Kant, P.K. Gupta, C. Sharma, A.A. Mitra, and K.V.S. Badarinath. 2001a. Biomass and combustion characteristics of secondary mixed deciduous forests in Eastern Ghats of India. Atmospheric Environment 35 (18): 3085–3095.
Prasad, V.K., Y. Kant, and K.V.S. Badarinath. 2001b. CENTURY ecosystem model application for quantifying vegetation dynamics in shifting cultivation areas: A case study from Rampa Forests, Eastern Ghats (India). Ecological Research 16 (3): 497–507.
Prasad, V.K., Y. Kant, P.K. Gupta, C. Elvidge, and K.V.S. Badarinath. 2002a. Biomass burning and related trace gas emissions from tropical dry deciduous forests of India: A study using DMSP-OLS data and ground-based measurements. International Journal of Remote Sensing 23 (14): 2837–2851.
Prasad, V.K., Y. Kant, and K.V.S. Badarinath. 2002b. Land use changes and modeling carbon fluxes from satellite data. Advances in Space Research 30 (11): 2511–2516.
Prasad, V.K., M. Lata, and K.V.S. Badarinath. 2003. Trace gas emissions from biomass burning from northeast region in India—Estimates from satellite remote sensing data and GIS. The Environmentalist 23 (3): 229–236.
Prasad, V.K., K.V.S. Badarinath, S. Yonemura, and H. Tsuruta. 2004. Regional inventory of soil surface nitrogen balances in Indian agriculture (2000–2001). Journal of Environmental Management 73 (3): 209–218.
Prasad, V.K., E. Anuradha, and K.V.S. Badarinath. 2005. Climatic controls of vegetation vigor in four contrasting forest types of India—Evaluation from National Oceanic and Atmospheric Administration’s advanced very high resolution radiometer datasets (1990–2000). International Journal of Biometeorology 50 (1): 6–16.
Schroeder, W., P. Oliva, L. Giglio, and I.A. Csiszar. 2014. The new VIIRS 375 m active fire detection data product: Algorithm description and initial assessment. Remote Sensing of Environment 143: 85–96.
Shannon, C.E. 1948. A mathematical theory of communication. The Bell System Technical Journal 27 (3): 379–423.
Stott, P. 2000. Combustion in tropical biomass fires: A critical review. Progress in Physical Geography 24 (3): 355–377.
Vadrevu, K.P. 2008. Analysis of fire events and controlling factors in eastern India using spatial scan and multivariate statistics. Geografiska Annaler: Series A, Physical Geography 90 (4): 315–328.
Vadrevu, K. 2015. International regional science meeting of NASA-LCLUC: Land cover/land use change (LC/LUC) and environmental impacts in South Asia, Coimbatore, India, 19–23 January 2013. Journal of Environmental Management 148: 1–163.
Vadrevu, K.P., and K.V.S. Badarinath. 2009. Spatial pattern analysis of fire events in Central India—A case study. Geocarto International 24 (2): 115–131.
Vadrevu, K.P., and C.O. Justice. 2011. Vegetation fires in the Asian region: Satellite observational needs and priorities. Global Environmental Research 15 (1): 65–76.
Vadrevu, K., and K. Lasko. 2015. Fire regimes and potential bioenergy loss from agricultural lands in the Indo-Gangetic Plains. Journal of Environmental Management 148: 10–20.
Vadrevu, K.P., K.V.S. Badarinath, and E. Anuradha. 2008. Spatial patterns in vegetation fires in the Indian region. Environmental Monitoring and Assessment 147 (1): 1–13.
Vadrevu, K.P., L. Giglio, and C. Justice. 2013. Satellite based analysis of fire–carbon monoxide relationships from forest and agricultural residue burning (2003–2011). Atmospheric Environment 64: 179–191.
Vadrevu, K.P., T. Ohara, and C. Justice. 2014. Air pollution in Asia. Environmental Pollution (Barking, Essex: 1987) 195: 233–235.
Vadrevu, K., T. Ohara, and C. Justice. 2017. Land cover, land use changes and air pollution in Asia: A synthesis. Environmental Research Letters 12 (12): 120201.
Vadrevu, K.P., T. Ohara, and C. Justice (eds.). 2018. Land-atmospheric research applications in South and Southeast Asia. Berlin: Springer.
Vadrevu, K., A. Heinimann, G. Gutman, and C. Justice. 2019a. Remote sensing of land use/cover changes in South and Southeast Asian Countries. International Journal of Digital Earth 12 (10): 1099–1102.
Vadrevu, K.P., K. Lasko, L. Giglio, W. Schroeder, S. Biswas, and C. Justice. 2019b. Trends in vegetation fires in South and Southeast Asian countries. Scientific Reports 9 (1): 1–13.
Vadrevu, K.P., T. Ohara, and C. Justice (eds.). 2021a. Biomass burning in South and Southeast Asia: Impacts on the biosphere, vol. 2. Boca Raton: CRC Press.
Vadrevu, K.P., T. Ohara, and C. Justice (eds.). 2021b. Biomass burning in South and Southeast Asia: Map** and monitoring, vol. 1. Boca Raton: CRC Press.
Vadrevu, K.P., T. Le Toan, S.S. Ray, and C. Justice. 2022a. Remote sensing of agriculture and land cover/land use changes in South and Southeast Asian countries. Cham: Springer.
Vadrevu, K., A. Eaturu, E. Casadaban, K. Lasko, W. Schroeder, S. Biswas, L. Giglio, and C. Justice. 2022b. Spatial variations in vegetation fires and emissions in South and Southeast Asia during COVID-19 and pre-pandemic. Scientific Reports 12 (1): 1–21.
Vay, S.A., Y. Choi, K.P. Vadrevu, D.R. Blake, S.C. Tyler, A. Wisthaler, A. Hecobian, Y. Kondo, G.S. Diskin, G.W. Sachse, and J.H. Woo. 2011. Patterns of CO2 and radiocarbon across high northern latitudes during International Polar Year 2008. Journal of Geophysical Research: Atmospheres 116 (D14).
Wooster, M.J., G.J. Roberts, L. Giglio, D.P. Roy, P.H. Freeborn, L. Boschetti, C. Justice, C. Ichoku, W. Schroeder, D. Davies, and A.M. Smith. 2021. Satellite remote sensing of active fires: History and current status, applications and future requirements. Remote Sensing of Environment 267: 112694.
Worldcover. 2020. https://worldcover2020.esa.int/data/docs/WorldCover_PUM_V1.1.pdf.
Yadav, P.K. 2013. Slash-and-burn agriculture in north-east India. Journal of Expert Opinion on Environmental Biology 2: 2–5.
You, L., and S. Wood. 2005. Assessing the spatial distribution of crop areas using a cross-entropy method. International Journal of Applied Earth Observation and Geoinformation 7 (4): 310–323.
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This research was funded by the NASA Land Cover/Land Use Change Program, South/Southeast Asia Research Initiative project to the first author.
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Vadrevu, K.P., Salikineedi, P., Eaturu, A., Biswas, S. (2023). Vegetation Fires and Entropy Variations in Myanmar. In: Vadrevu, K.P., Ohara, T., Justice, C. (eds) Vegetation Fires and Pollution in Asia. Springer, Cham. https://doi.org/10.1007/978-3-031-29916-2_4
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