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- Ground Truth: How Are You Verifying What Maps Show?
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- Fires in the Serengeti: Burn Severity & Remote Sensing with Earth Engine
Fires in Serengeti and Masai Mara National Parks have burned massive areas this year. With Google Earth Engine, it's possible to quantify burn severity using the normalized burn ratio function, then calculate the total area burned by classification areas.
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- 404
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- Overview of Image Analysis and Visualization from Camera traps
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- HawkEars: a high-performance bird sound classifier for Canada
HawkEars is a deep learning model designed specifically to recognize the calls of 328 Canadian bird species and 13 amphibians.
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- 457
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- 159
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- Automated Image analysis
This project aimed to reduce human-carnivore conflict by building a resilient boma for a vulnerable family in Hunyari village. It served as a model for other families, promoting stronger livestock protection. The initiative included community engagement on predator deterrence and sustainable building practices. The success of the pilot is inspiring others to adopt similar solutions.
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- 374
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- 111
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- Overview of Image Analysis and Visualization from Camera traps
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- Nature Tech for Biodiversity Sector Map launched!
Conservation International is proud to announce the launch of the Nature Tech for Biodiversity Sector Map, developed in partnership with the Nature Tech Collective!
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- Ground Truth: How Are You Verifying What Maps Show?
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- What Are Innovative Technologies, and Why Should Conservationists Care?
Conservationists use tools like drones, satellites, and camera traps to monitor ecosystems and scale their impact. But new challenges like transparency, funding gaps, and engagement remain. Web 3.0 technologies offer solutions, but adoption can be complex. Understanding their benefits and barriers is key.
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