Remote sensing workflows often contain tasks that are well understood, but still require specialist knowledge and analyst time to perform. Water masking is a good example. Identifying water in satellite imagery is not a new problem. Experienced remote-sensing analysts have several established ways of approaching it. But producing a useful result can still involve image
Geospatial Intelligence conducted a remote sensing assessment for an Australian orchard to identify unhealthy or damaged trees at scale. Using satellite imagery and NDVI analysis, the project produced a detailed tree health classification map, accuracy report, and geospatial outputs for operational use. The insights allow the orchard to detect issues earlier, improve decision making, and support long term productivity and orchard health.
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Artificial Intelligence (AI) seems to be everywhere. A quick Google News search for “Artificial Intelligence” returns over 89 million articles on everything from how AI is taking over from humans, to how it is helping cure cancer. If you are reading this article then you’re probably interested in remote sensing, satellite imagery and the broader
