Field Notes: A Week Testing Data Collection Apps in the Cederberg
Four phones, four apps, seven days in the Cederberg Wilderness Area. What actually works when the signal drops, the heat hits 38°C, and the baboons raid your camp.
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Four phones, four apps, seven days in the Cederberg Wilderness Area. What actually works when the signal drops, the heat hits 38°C, and the baboons raid your camp.
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If you can code, design, write, translate, or test software, there is a conservation project that needs you. Here is exactly where to start.
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Between 17 and 20% of the Amazon is already gone. At 20–25%, the forest can no longer generate enough rain to sustain itself. It flips to savanna — and it doesn't come back.
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Real camera trap survey budgets at every scale. Hardware prices, labor rates in Africa, hidden costs like batteries and image processing time. What you actually get for your money.
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Just 32 companies produced over 50% of global fossil CO2 in 2024. The number is shrinking. The production is growing. Every figure is cited.
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A practical guide to AlphaEarth Foundations, Google DeepMind's geospatial foundation model, and the Google Satellite Embedding dataset in Earth Engine: what it is, what it means for science, and how to use it for conservation, land cover, change detection, and similarity search.
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A Cape Town-specific guide to the conservation work protecting fynbos, wetlands, penguins, baboons, caracals, seabirds, turtles, sharks, amphibians, and urban biodiversity
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How Conservation X Labs, Wild Me, and the Wildbook open-source platform use AI, citizen science, and photo-identification to monitor wildlife populations at conservation scale.
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How GBIF turns museum specimens, field surveys, citizen science, DNA-derived records, and institutional datasets into open biodiversity infrastructure for research, policy, and conservation.
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A practical, source-backed guide to Google Earth Engine as a planetary-scale geospatial computing platform: its data and programming model, why it changed environmental science, and how to start using it with JavaScript, Python, datasets, exports, apps, and machine learning.
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A practical field guide to resilient communications for remote conservation work: VHF/UHF radio, LoRa, Meshtastic, satellite messengers, satellite phones, Starlink, point-to-point Wi‑Fi, cellular routers, and field data platforms.
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Seven of nine planetary boundaries are now breached. A sourced guide to every boundary, what changed in 2025, and how to read the numbers without mixing datasets.
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How Microsoft's PyTorch-Wildlife framework brings MegaDetector, species classifiers, bioacoustics, aerial detection, and conservation AI workflows into one open-source model zoo.
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Conservation X Labs and Meta released SA-FARI, a large open-source multi-animal tracking dataset for wildlife video: 11,609 camera-trap clips, 16,224 masklets, 942,702 boxes and masks, and 741 independent locations.
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A practical, ethics-first comparison of South African wildlife, marine, reserve, sanctuary, and conservation volunteer programmes for students planning a study, gap-year, or career-building trip.
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A global overview of how artificial intelligence is changing wildlife conservation: camera traps, bioacoustics, individual animal ID, drones, satellites, anti-poaching, fisheries monitoring, animal communication, foundation models, and the limits that still matter.
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From GPS collars and camera traps to offline data apps, radio networks, satcom, and operations platforms like EarthRanger and SMART — a practical map of the technology that keeps conservation teams working in the world's wildest places.
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A plain-language field guide for turning raw camera-trap and wildlife images into clean, useful conservation records using safe file handling, metadata, AI-assisted review, human verification, and responsible reporting.
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Operating across 31 reserves in the Greater Kruger, Ingwe has individually identified over 200 leopards. They run five research projects on one salary. This is how they do it.
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A field scientist's honest comparison of CyberTracker, ODK, SMART, Survey123, Fulcrum, iNaturalist, and Field Log — the apps that turn observations into data.
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"Works offline" are the hardest three words in software. What broke, what held up, and what we'd do differently.
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A no-nonsense field guide to designing biodiversity monitoring that actually works. From indicator species to occupancy models, camera traps to eDNA, and the five mistakes most programmes get wrong.
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An honest, no-hype comparison of camera trap tools: Wildlife Insights, MegaDetector, Timelapse, Camelot, AddaxAI, TrapTagger, and SpeciesNet. What each does well, where each falls short.
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Why your phone says 3 meters but your points are 40 meters off. How GPS actually works, what goes wrong in the field, and how to get better accuracy without a survey crew.
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A data-driven open letter documenting the state of our planet. Every number is real. Every source is cited. Every trend is accelerating.
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