National Environmental Monitoring Authority
January 2025
Remote Sensing and Mapping
$38,000 USD
GeoGlobalTech partnered with an environmental agency to execute a Remote Sensing and Mapping project aimed at monitoring land use changes and vegetation health over a vast geographic area. Using high-resolution satellite imagery and advanced remote sensing techniques, we delivered accurate, up-to-date spatial insights for policy formulation and resource management.
The client needed a comprehensive land cover classification and vegetation analysis using multi-temporal satellite data. The focus was to support sustainable land management decisions and environmental impact assessments across agricultural, forested, and urban zones. Our responsibility included data acquisition, image preprocessing, classification modeling, and delivery of thematic maps and analytical reports.
Our remote sensing experts implemented a rigorous, step-by-step methodology to transform raw satellite data into meaningful geospatial intelligence. The process ensured high classification accuracy and the delivery of actionable outputs for the client’s ongoing monitoring and reporting needs.
Here’s a breakdown of the strategy:
The agency received detailed maps and analytical outputs that enabled effective planning for reforestation, crop rotation, and urban expansion management. The client also integrated our data into their decision support systems for long-term environmental monitoring. GeoGlobalTech’s remote sensing expertise provided the clarity and precision necessary for confident, data-driven policy making.
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Environmental Consultant, Green Earth Consulting
GeoGlobalTech’s environmental impact assessments provided us with the critical insights needed for sustainable development projects. Their expertise is unparalleled, and they have become an essential partner in our efforts.
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GeoGlobalTech continues the legacy of Global GeoSoft by delivering cutting-edge GIS and WebGIS solutions. Focused on spatial intelligence and innovation, we empower smarter decisions across industries.
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