Updated Oct 06, 2020

Visualizing inconsistencies among global agricultural land cover products using Google Earth Engine

Part of Michigan State University

http://www.ksu.edu/siil

Joseph Messina

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Global land-use/land-cover visualization application for elucidating errors of commission among various data sources.

Stage 5: Scaling

Focus Areas:

Agriculture

AgricultureSEE LESS

Implemented In:

Malawi and United States

Malawi and United StatesSEE LESS

2
Countries Implemented In
Verified Funding
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Problem

Access to accurate digital data to reduce error and uncertainty in geospatial estimates.

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Solution

This tool reduces error and uncertainty associated with demarcating agricultural lands and is completely publicly accessible. It also helps other models to be more accurate in reducing compounding errors and uncertainty in estimates.

Target Beneficiaries

Primary beneficiaries are modelers and others doing agriculture policy work at national and international scales. Secondary beneficiaries are those interested in using digital tools for predictions.

Competitive Advantage

A tool such as this has not been created. The tool is a great benefit to the field for modelers and others working in land-cover characterization and agricultural reform.

Milestone

Date Unknown
New Country Implemented In
United States
Date Unknown
New Country Implemented In
Malawi