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GeoNadir

GeoNadir offers a cloud-based GIS platform for environmental professionals to manage and analyze drone mapping data. It provides no-code tools for science-grade analysis and time-series monitoring, enabling efficient quantification of ecosystem changes.

Trinity Beach, AustraliaFounded 202043K+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Environmental professionals often struggle with managing, processing, and analyzing large volumes of drone mapping data. This leads to fragmented data, inefficient workflows, and difficulties in quantifying ecosystem changes for informed decision-making.

Solution

GeoNadir provides a collaborative Geographic Information System (GIS) platform designed for environmental professionals to streamline their drone data management and analysis. The platform centralizes all drone mapping data, enabling teams to create a single source of truth for their projects. Users can perform advanced, science-grade analysis using intuitive, no-code tools directly within their web browser. This facilitates the consistent monitoring and quantification of environmental changes over time, supporting more effective conservation, restoration, and management strategies.

Target Audience

The platform serves environmental professionals, including conservationists, natural resource managers, indigenous rangers, and geospatial analysts who utilize drone data for ecological monitoring and management.

Features

  • Cloud-based GIS platform for centralized drone mapping data management.
  • No-code tools for science-grade analysis, including feature detection, segmentation, and 3D analysis.
  • Support for processing raw RGB, thermal, and multispectral data into orthomosaics, DSMs, and DTMs.
  • Time-series analysis capabilities to quantify environmental changes.
  • Real-time collaboration features with flexible access controls for team-based workflows.
  • Secure data storage on AWS cloud servers with adherence to data ownership and privacy principles.
  • Vector data import and export in common formats (KML, SHP, GeoJSON, GPX, CSV).
  • Geospatial AI tools for automated feature detection and mapping.
This profile is AI-generated and may contain inaccuracies.