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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/21926
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dc.contributor.authorSannigrahi S.-
dc.contributor.authorPilla F.-
dc.contributor.authorBasu B.-
dc.contributor.authorBasu A.S.-
dc.contributor.authorSarkar K.-
dc.contributor.authorChakraborti S.-
dc.contributor.authorJoshi P.K.-
dc.contributor.authorZhang Q.-
dc.contributor.authorWang Y.-
dc.contributor.authorBhatt, Sandeep-
dc.contributor.authorBhatt A.-
dc.contributor.authorJha S.-
dc.contributor.authorKeesstra S.-
dc.contributor.authorRoy P.S.-
dc.date.accessioned2022-03-02T11:51:24Z-
dc.date.available2022-03-02T11:51:24Z-
dc.date.issued2020-
dc.identifier.citationScience of the Total Environment, 725-
dc.identifier.issn489697-
dc.identifier.other32302833-
dc.identifier.urihttps://doi.org/10.1016/j.scitotenv.2020.138331-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/21926-
dc.description.abstractRemote sensing techniques are effectively used for measuring the overall loss of terrestrial ecosystem productivity and biodiversity due to forest fires. The current research focuses on assessing the impacts of forest fires on terrestrial ecosystem productivity in India during 2003–2017. Spatiotemporal changes of satellite remote sensing derived burn indices were estimated for both fire and normal years to analyze the association between forest fires and ecosystem productivity. Two Light Use Efficiency (LUE) models were used to quantify the terrestrial Net Primary Productivity (NPP) of the forest ecosystem using the open-source and freely available remotely sensed data. A novel approach (delta NPP/delta burn indices) is developed to quantify the effects of forest fires on terrestrial carbon emission and ecosystem production. During 2003–2017, the forest fire intensity was found to be very high (>2000) across the eastern Himalayan hilly region, which is mostly covered by dense forest and thereby highly susceptible to wildfires. Scattered patches of intense forest fires were also detected in the lower Himalayan and central Indian states. The spatial correlation between the burn indices and NPP were mainly negative (−0.01 to −0.89) for the fire-prone states as compared to the other neighbouring regions. Additionally, the linear approximation between the burn indices and NPP showed a positive relation (0.01 to 0.63), suggesting a moderate to high impact of the forest fires on the ecosystem production and terrestrial carbon emission. The present approach has the potential to quantify the loss of ecosystem productivity due to forest fires. © 2020 Elsevier B.V.-
dc.language.isoen_US-
dc.publisherElsevier B.V.-
dc.relation.ispartofScience of the Total Environment-
dc.subjectBurn indices-
dc.subjectCarbon emission-
dc.subjectForest fire-
dc.subjectGreenhouse gas emission-
dc.subjectNet primary productivity-
dc.subjectRemote sensing-
dc.titleExamining the effects of forest fire on terrestrial carbon emission and ecosystem production in India using remote sensing approaches-
dc.typeArticle-
dc.scopusid57194157685-
dc.scopusid54411156200-
dc.scopusid55786423500-
dc.scopusid57216315485-
dc.scopusid57216313138-
dc.scopusid57196062430-
dc.scopusid35195919400-
dc.scopusid57189855099-
dc.scopusid56106535800-
dc.scopusid57192093677-
dc.scopusid57196067914-
dc.scopusid57196061320-
dc.scopusid8510883000-
dc.scopusid56909353000-
dc.affiliationSannigrahi, S., School of Architecture, Planning and Environmental Policy, University College Dublin, Richview, Clonskeagh, Dublin, D14 E099, Ireland-
dc.affiliationPilla, F., School of Architecture, Planning and Environmental Policy, University College Dublin, Richview, Clonskeagh, Dublin, D14 E099, Ireland-
dc.affiliationBasu, B., School of Architecture, Planning and Environmental Policy, University College Dublin, Richview, Clonskeagh, Dublin, D14 E099, Ireland-
dc.affiliationBasu, A.S., School of Architecture, Planning and Environmental Policy, University College Dublin, Richview, Clonskeagh, Dublin, D14 E099, Ireland-
dc.affiliationSarkar, K., Rabindra Bharati University, Kolkata, West Bengal 700007, India-
dc.affiliationChakraborti, S., Center for the Study of Regional Development (CSRD), Jawaharlal Nehru University, New Delhi, 110067, India-
dc.affiliationJoshi, P.K., School of Environmental Sciences (SES), Jawaharlal Nehru University, New Delhi, 110067, India-
dc.affiliationZhang, Q., The Frederick S. Pardee Center for the Study of the Longer-Range Future, Frederick S. Pardee School of Global Studies, Boston University, Boston, MA 02215, United States-
dc.affiliationWang, Y., School of Public Administration, China University of Geosciences, Wuhan, 430074, China-
dc.affiliationBhatt, S., Department of Geology & Geophysics, Indian Institute of Technology Kharagpur721302, India-
dc.affiliationBhatt, A., H.N.B.Garhwal University, Srinagar – 246174, Dist. GarhwalUttarakhand 246174, India-
dc.affiliationJha, S., Indian Centre for Climate and Societal Impacts Research (ICCSIR), Kachchh, Gujarat 370465, India-
dc.affiliationKeesstra, S., Soil, Water and Land-use Team, Wageningen University and Research, Droevendaalsesteeg3, Wageningen, 6708PB, Netherlands, Civil, Surveying and Environmental Engineering, The University of Newcastle, Callaghan, 2308, Australia-
dc.affiliationRoy, P.S., Innovation Systems for the Drylands (ISD), ICRISAT, Pathancheru, Hyderabad 502 324, India-
dc.description.correspondingauthorSannigrahi, S.; School of Architecture, Clonskeagh, Ireland; email: srikanta.sannigrahi@ucd.ie-
Appears in Collections:Journal Publications [ES]

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