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I will generate land use and land cover lulc maps

Peru

I speak English, Spanish
I participated in a dynamic project focused on disaster risk and natural hazards using remote sensing and GIS techniques. With Certificates about it, we designed the project objectives to identify wi...
About this Gig

Land Use Land Cover (LULC) classification involves categorizing and mapping land cover and use in a specific area using remote sensing imagery. It includes various classification types like supervised, unsupervised, and object-based methods. Different satellite products such as Landsat and Sentinel-2 are utilized, along with software like ArcGIS, QGIS, and Google Earth Engine for analysis.


Classification Type:


Supervised Classification

Unsupervised Classification

Object-Based Classification

Hybrid Classification

Decision Tree Classification

Maximum Likelihood Classification

Random Forest Classification

Satellite Products:


Landsat

SPOT

Sentinel-2

Quick Bird

MODIS

Mcd12Q1

IKONOS

Terra Climate

Software:


ArcGIS: A comprehensive GIS software offering robust tools for data processing, spatial analysis, and LULC classification.

QGIS: An open-source GIS software providing a wide range of tools and plugins for LULC analysis, supporting various data formats.

Google Earth Engine: A cloud-based platform for geospatial data analysis, offering access to extensive satellite imagery and geospatial datasets for LULC classification and analysis.

Database type:

Graph database

Platform:

Other

Expertise:

Big data