Please use this identifier to cite or link to this item: http://10.9.150.37:8080/dspace//handle/atmiyauni/927
Title: Land Cover Land Use Mapping & Classification Model
Other Titles: Mapping Of Land Cover Land Use Using Multispectral Space Born Image
Authors: Desai, Nirav
Dr. Shukla, Parag
Keywords: Classification
Remote Sensing
Land cover land use
Satellite Image
Issue Date: Jan-2022
Publisher: International Journal of Mechanical Engineering
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
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.
URI: http://10.9.150.37:8080/dspace//handle/atmiyauni/927
ISSN: 0974-5823
Appears in Collections:01. Journal Articles

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