{"id":"https://openalex.org/W2983474012","doi":"https://doi.org/10.1109/igarss.2019.8898739","title":"Estimation of Forest Cover Resilience in India Using MC2 DVM","display_name":"Estimation of Forest Cover Resilience in India Using MC2 DVM","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2983474012","doi":"https://doi.org/10.1109/igarss.2019.8898739","mag":"2983474012"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8898739","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8898739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079294272","display_name":"Pulakesh Das","orcid":"https://orcid.org/0000-0002-0508-7219"},"institutions":[{"id":"https://openalex.org/I41549804","display_name":"Vidyasagar University","ror":"https://ror.org/027jsza11","country_code":"IN","type":"education","lineage":["https://openalex.org/I41549804"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"P. Das","raw_affiliation_strings":["Dept. of Remote Sensing & GIS, Vidyasagar University, Midnapore, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Remote Sensing & GIS, Vidyasagar University, Midnapore, India","institution_ids":["https://openalex.org/I41549804"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049556791","display_name":"Mukunda Dev Behera","orcid":"https://orcid.org/0000-0002-9976-6270"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. D. Behera","raw_affiliation_strings":["Centre for Oceans, Indian Institute of Technology Kharagpur, Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Centre for Oceans, Indian Institute of Technology Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002149788","display_name":"P. S. Roy","orcid":"https://orcid.org/0000-0002-6803-6785"},"institutions":[{"id":"https://openalex.org/I4210163774","display_name":"International Crops Research Institute for the Semi-Arid Tropics","ror":"https://ror.org/0541a3n79","country_code":"IN","type":"nonprofit","lineage":["https://openalex.org/I4210163774"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. S. Roy","raw_affiliation_strings":["International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India","institution_ids":["https://openalex.org/I4210163774"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079294272"],"corresponding_institution_ids":["https://openalex.org/I41549804"],"apc_list":null,"apc_paid":null,"fwci":0.2611,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65544803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"508","issue":null,"first_page":"9522","last_page":"9525"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10005","display_name":"Ecology and Vegetation Dynamics Studies","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10005","display_name":"Ecology and Vegetation Dynamics Studies","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13377","display_name":"Ecosystem dynamics and resilience","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.7422004342079163},{"id":"https://openalex.org/keywords/psychological-resilience","display_name":"Psychological resilience","score":0.6844889521598816},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.6359052062034607},{"id":"https://openalex.org/keywords/grassland","display_name":"Grassland","score":0.6038337349891663},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6030267477035522},{"id":"https://openalex.org/keywords/productivity","display_name":"Productivity","score":0.5862388014793396},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.5739169716835022},{"id":"https://openalex.org/keywords/ecosystem","display_name":"Ecosystem","score":0.5660545825958252},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5389507412910461},{"id":"https://openalex.org/keywords/vegetation-cover","display_name":"Vegetation cover","score":0.49651938676834106},{"id":"https://openalex.org/keywords/forest-cover","display_name":"Forest cover","score":0.476280152797699},{"id":"https://openalex.org/keywords/physical-geography","display_name":"Physical geography","score":0.4652961492538452},{"id":"https://openalex.org/keywords/forest-ecology","display_name":"Forest ecology","score":0.44320523738861084},{"id":"https://openalex.org/keywords/environmental-resource-management","display_name":"Environmental resource management","score":0.4226498603820801},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4168175160884857},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.36630433797836304},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.31241488456726074},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08591258525848389},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06675970554351807}],"concepts":[{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.7422004342079163},{"id":"https://openalex.org/C137176749","wikidata":"https://www.wikidata.org/wiki/Q4105337","display_name":"Psychological resilience","level":2,"score":0.6844889521598816},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.6359052062034607},{"id":"https://openalex.org/C2775835988","wikidata":"https://www.wikidata.org/wiki/Q1006733","display_name":"Grassland","level":2,"score":0.6038337349891663},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6030267477035522},{"id":"https://openalex.org/C204983608","wikidata":"https://www.wikidata.org/wiki/Q2111958","display_name":"Productivity","level":2,"score":0.5862388014793396},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.5739169716835022},{"id":"https://openalex.org/C110872660","wikidata":"https://www.wikidata.org/wiki/Q37813","display_name":"Ecosystem","level":2,"score":0.5660545825958252},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5389507412910461},{"id":"https://openalex.org/C2983732647","wikidata":"https://www.wikidata.org/wiki/Q187997","display_name":"Vegetation cover","level":3,"score":0.49651938676834106},{"id":"https://openalex.org/C2986088632","wikidata":"https://www.wikidata.org/wiki/Q4259364","display_name":"Forest cover","level":2,"score":0.476280152797699},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.4652961492538452},{"id":"https://openalex.org/C73935091","wikidata":"https://www.wikidata.org/wiki/Q2249329","display_name":"Forest ecology","level":3,"score":0.44320523738861084},{"id":"https://openalex.org/C107826830","wikidata":"https://www.wikidata.org/wiki/Q929380","display_name":"Environmental resource management","level":1,"score":0.4226498603820801},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4168175160884857},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.36630433797836304},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.31241488456726074},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08591258525848389},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06675970554351807},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2777904157","wikidata":"https://www.wikidata.org/wiki/Q3239189","display_name":"Grazing","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8898739","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8898739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5799999833106995,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1616516030","https://openalex.org/W1945151726","https://openalex.org/W2011303397","https://openalex.org/W2023024638","https://openalex.org/W2032897407","https://openalex.org/W2037979501","https://openalex.org/W2074699225","https://openalex.org/W2107829358","https://openalex.org/W2210676602","https://openalex.org/W2514339160","https://openalex.org/W2573991080","https://openalex.org/W2620583689","https://openalex.org/W2898691000","https://openalex.org/W2951416017","https://openalex.org/W6636461483","https://openalex.org/W6755645653"],"related_works":["https://openalex.org/W1569360120","https://openalex.org/W2377244945","https://openalex.org/W2390860443","https://openalex.org/W2374979250","https://openalex.org/W2945429613","https://openalex.org/W4289205746","https://openalex.org/W2257863933","https://openalex.org/W2125556888","https://openalex.org/W3037111786","https://openalex.org/W4382202039"],"abstract_inverted_index":{"The":[0,106],"study":[1],"of":[2,10,29,42,55,60,87,95],"ecosystem":[3],"and":[4,14,19,46,110],"climate":[5,30,62,69],"relationship":[6],"via":[7],"the":[8,21,27,36,40,58,68,72,88,117],"mechanisms":[9],"feedback,":[11],"growth,":[12],"reorganization":[13],"adaptation":[15],"enables":[16],"to":[17,39],"estimate":[18],"project":[20],"potential":[22],"forest":[23,89,122],"cover":[24],"distribution.":[25],"Although":[26],"impact":[28,59],"change":[31,41,132],"has":[32],"been":[33],"regarded":[34],"as":[35],"dominant":[37],"factor":[38],"vegetation":[43,77],"functionality,":[44],"structure":[45],"shift,":[47],"there":[48],"is":[49],"high":[50],"uncertainty":[51],"in":[52,92],"its":[53],"degree":[54],"influence.":[56],"Again,":[57],"same":[61],"alteration":[63],"may":[64,124],"be":[65,125],"different":[66],"across":[67],"regimes.":[70],"In":[71],"current":[73],"study,":[74],"MAPSS-CENTURY":[75],"dynamic":[76],"model":[78],"version":[79],"2":[80],"(MC2":[81],"DVM)":[82],"was":[83],"used,":[84],"estimated":[85],"majority":[86],"covers":[90,123],"(83.75%)":[91],"wet":[93],"regimes":[94],"India":[96],"were":[97,103],"highly":[98],"resilient,":[99],"where":[100],"only":[101],"6.16%":[102],"least":[104],"resilient.":[105],"simulated":[107],"life":[108],"form":[109],"productivity":[111],"provided":[112],"a":[113],"close":[114],"agreement":[115],"with":[116],"observed":[118],"data.":[119],"Least":[120],"resilient":[121],"indicating":[126],"higher":[127,131],"disturbances,":[128],"which":[129],"exhibited":[130],"proneness":[133],"towards":[134],"grassland":[135],"rather":[136],"than":[137],"scrubs.":[138]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}