I will do landuse landcover mapping using machine learning

Welcome to my gig:

This gig uses Machine learning in GIS in a number of ways such as:

1. Image classification: Machine learning algorithms used to classify satellite or aerial imagery into different land cover categories, such as urban, water, vegetation, or bare land.
2. Change detection: Machine learning algorithms will be used to detect changes in land cover or land use over time, such as urban expansion, deforestation, or land degradation.
3. Image segmentation: Machine learning algorithms will be used to segment images into distinct objects or regions, such as buildings, roads, or bodies of water.
4. Predictive modeling: Machine learning will be used to build predictive models that can be used to estimate or forecast various spatial phenomena, such as crime rates, traffic patterns, or crop yields.

Kindly contact me before placing the order. Thank you.