Land Cover Land Use Mapping & Classification Model

Desai, Nirav; Dr. Shukla, Parag

dc.contributor.author	Desai, Nirav
dc.contributor.author	Dr. Shukla, Parag
dc.date.accessioned	2023-05-11T10:37:01Z
dc.date.available	2023-05-11T10:37:01Z
dc.date.issued	2022-01
dc.identifier.citation	Desai, N., & Dr. Shukla, P. (2022). Land Cover Land Use Mapping & Classification Model. (Mapping Of Land Cover Land Use Using Multispectral Space Born Image). International Journal of Mechanical Engineering, 7(1), 0974-5823. https://kalaharijournals.com/resources/281-300/IJME_Vol7.1_291.pdf	en_US
dc.identifier.issn	0974-5823
dc.identifier.uri	http://10.9.150.37:8080/dspace//handle/atmiyauni/927
dc.description.abstract	Measurement of land use and land cover is costly and time-consuming by imperial technique. Remote sensing plays important role in the mappings and classification of land cover features. Indigenous space-born images can be used for identification and mapping. Remote sensed imagery is most popular method to capture data on Land Use Land Cover. Multispectral imaging is one of the most widely used technologies for LULC mapping and monitoring.This paper proposes a model which will help to classify and map land cover land use using remote sensing imagery. It also increase accuracy in the mapping and classification of land area land cover.	en_US
dc.language.iso	en	en_US
dc.publisher	International Journal of Mechanical Engineering	en_US
dc.subject	Classification	en_US
dc.subject	Remote Sensing	en_US
dc.subject	Land cover land use	en_US
dc.subject	Satellite Image	en_US
dc.title	Land Cover Land Use Mapping & Classification Model	en_US
dc.title.alternative	Mapping Of Land Cover Land Use Using Multispectral Space Born Image	en_US
dc.type	Article	en_US