How to prepare Land Use/Land Cover Map and Calculate Area of LULC using ArcGIS Pro

Land Use: Land use refers to the human activities and purposes for which the land is utilized. It includes categories such as residential areas, commercial areas, agricultural lands, industrial zones, forests, water bodies, parks, etc. Land use classification helps understand how the land is allocated and utilized by humans.

Land Cover: Land cover describes the physical attributes and natural features of the land surface. It includes categories such as vegetation (forests, grasslands), water bodies (rivers, lakes), bare soil, wetlands, etc. Land cover classification helps assess the ecological and environmental characteristics of an area.

Join our telegram Group Remote Sensing & GIS Professionals:- [ Ссылка ]

Any Help Contact
Mr.Vikas Ghadamode--Vikasghadamode77@gmail.com
WhatsApp Number= +918421031398
WhatsApp Chat:[ Ссылка ]

Geotech GIS Training institute is a prestigious remote sensing training institute in India. Our vision is to bring an opportunity to every aspirant who dreams of a successful career in remote sensing and GIS field.

We conduct the following courses:
Training Program Related to Project Work- Duration- 1 Month
Basics of Remote Sensing and GIS - Duration- 3 Months
Advance Diploma in Remote Sensing and GIS - Duration- 6 Months
PG Diploma in Remote Sensing and GIS- Duration- 1 Year
Master of Remote Sensing and GIS - Duration: 2 Years

You May Like

Population Density Data: [ Ссылка ]

Diva GIS Shapefile: [ Ссылка ]
RS & GIS QA15- Download ready-to-use contour lines from Open DEM & Generate DEM from Contour: [ Ссылка ]

Land Use Land Cover Mapping in QGIS: [ Ссылка ]

How to Download Landsat 9 Data set from USGS earth Explorer: [ Ссылка ]

Download Rainfall data: [ Ссылка ]

Google earth Playlist : [ Ссылка ]

ArcGIS : [ Ссылка ]

QGIS: [ Ссылка ]

Tags,
BandComposite, RemoteSensing, SatelliteImagery, ImageProcessing, GIS, EarthObservation, SpatialAnalysis, DataVisualization, RGBComposite, FalseColorComposite, ImageMosaicking, GeospatialTechnology, GIScience, Mapping, EarthScience, Landsat, LULC, Supervised Classification

свернуть