Publication:
Intertwined impacts of urbanization and land cover change on urban climate and agriculture in Aurangabad city (MS), India using google earth engine platform

Simple item page
dc.citedby36
dc.contributor.authorPande C.B.en_US
dc.contributor.authorMoharir K.N.en_US
dc.contributor.authorVarade A.M.en_US
dc.contributor.authorAbdo H.G.en_US
dc.contributor.authorMulla S.en_US
dc.contributor.authorYaseen Z.M.en_US
dc.contributor.authorid57193547008en_US
dc.contributor.authorid57193546415en_US
dc.contributor.authorid24173661000en_US
dc.contributor.authorid57193090158en_US
dc.contributor.authorid57217024650en_US
dc.contributor.authorid56436206700en_US
dc.date.accessioned2024-10-14T03:17:32Z
dc.date.available2024-10-14T03:17:32Z
dc.date.issued2023
dc.description.abstractDevastation possibility of disenfranchising poor people of emerging countries like India is due to urban climate change. Hence, an urgent and efficient urban planning strategy shall be adopted for the creation/making of sustainable and amicable cities. This research is focused on the interlinked impacts of urbanization and land cover change on urban climate for Aurangabad city, India using Google Earth Engine. Aurangabad city areas are occupied by industrial areas and historical places and thus the city can be converted into a metropolitan city in the future through well planning. Important indicators such as land cover, change detection, Normalized Difference Vegetation Index (NDVI), and land surface temperature (LST) are used for the research assessment. Machine learning (ML) model (i.e., random forest (RF)) is developed using google earth engine (GEE) platform and satellite datasets for Land use and land cover (LULC) classification. GEE platform is used for the computation of LST and NDVI (2015�2020) based on Landsat-8 satellite. The vegetation �agriculture land� is observed to be covered more than half of the total area under study (113.48 km2) followed by Wasteland (61.70 km2), Built-up land (34.68 km2), and Water body (3.44 km2). Significantly, over for the years of 2015 and 2020, an increment in the water body area noticed by 11.24 km2 followed by Wasteland (66.30 km2) and urban area (36.70 km2). Whereas the vegetation covered is decreased during period of 2020 with area ratio of 98.95 km2. Study of vegetation's index for the years of 2015 and 2020 revealed NDVI values are decreased. Interlinked land cover vegetation area and NDVI values is showed vegetation land decreased in the city. The LST is identified in the urban area about 2 �C in rising in comparison to the year of 2015. The major highlight of this research that LST, NDVI and land cover classes are dramatically changed over the last five years due to built-up land expansion, pollution increase, vegetation land decrease and pollution. � 2023 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo138541
dc.identifier.doi10.1016/j.jclepro.2023.138541
dc.identifier.scopus2-s2.0-85169591684
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85169591684&doi=10.1016%2fj.jclepro.2023.138541&partnerID=40&md5=ff931a129ac1156fea223861bf60a4be
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/33967
dc.identifier.volume422
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleJournal of Cleaner Production
dc.subjectGoogle earth engine
dc.subjectIndia
dc.subjectLand cover
dc.subjectLand surface temperature
dc.subjectUrban climate
dc.subjectUrban infrastructure
dc.subjectAtmospheric temperature
dc.subjectClassification (of information)
dc.subjectClimate change
dc.subjectDeveloping countries
dc.subjectEngines
dc.subjectForestry
dc.subjectLand surface temperature
dc.subjectLand use
dc.subjectSurface measurement
dc.subjectSurface properties
dc.subjectUrban growth
dc.subjectGoogle earth engine
dc.subjectGoogle earths
dc.subjectIndia
dc.subjectLand cover
dc.subjectLand surface temperature
dc.subjectLand-cover change
dc.subjectNormalized difference vegetation index
dc.subjectUrban climates
dc.subjectUrban infrastructure
dc.subjectWaterbodies
dc.subjectVegetation
dc.titleIntertwined impacts of urbanization and land cover change on urban climate and agriculture in Aurangabad city (MS), India using google earth engine platformen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS