Published 2024 | Version v4
Dataset Restricted

Data to the manuscript 'Deep learning-based cattle counts on satellite imagery offer evidence regarding land use and policy impact in the Brazilian Amazon'.

Creators

  • 1. ROR icon ETH Zurich
  • 2. ROR icon University of Zurich
  • 3. Embrapa Acre, Rio Branco, Acre, Brazil
  • 4. ROR icon University of Cambridge

Description

This repository contains datasets relevant to CSRNet-based cattle counts and stocking rate estimations in the Brazilian Amazon and related variables relevant for the publication with the name "Deep learning-based cattle counts on satellite imagery offer evidence regarding land use and policy impact in the Brazilian Amazon." 

Please refer to the _README.rtf file for further details.

Files

Restricted

The record is publicly accessible, but files are restricted to users with access.

Additional details

Funding

ETH Zurich
ETH Grant ETH-15 20-1
European Commission
FORESTPOLICY - Identifying the conditions under which forest-focused supply chain policies lead to improved conservation and livelihoods: a pan-tropical analysis 949932

Dates

Collected
2018-01-01

Software

Repository URL
https://github.com/leoniehodel/deepCattleCounts_analysis
Programming language
R, Python