vipulchaturvedi/treesense-imaging
Deep Learning based web application to automate tree enumeration in forest areas using satellite imagery.
This tool helps forest managers, environmental impact assessors, and urban planners automatically count trees and estimate green cover in specific forest areas using satellite images or aerial photographs. It takes in imagery of a forested region and provides a precise tree count, green cover percentage, and even identifies tree species, alongside historical data and optimal pathing within the area. This is for professionals who need to quickly and accurately assess tree populations for land-use planning, environmental monitoring, or conservation efforts.
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Use this if you need to rapidly and accurately enumerate trees, estimate green cover, or identify tree species in a forest area for development projects, land surveys, or ecological studies.
Not ideal if you require on-the-ground, detailed individual tree health assessments or if your analysis is focused on very small, non-forested plots.
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31
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13
Language
Jupyter Notebook
License
AGPL-3.0
Category
Last pushed
Jun 03, 2025
Commits (30d)
0
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