Tag: NDVI
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Is Sentinel-2 Detailed Enough for Small Fields? How to Check Before Monitoring
Sentinel-2 can support monitoring of some small agricultural fields, but field area alone cannot tell you whether it is detailed enough. A compact parcel may contain useful interior pixels, while a narrow parcel of the same area may be dominated by boundaries, neighbouring crops and field margins. The right test is whether the imagery provides…
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Can You Use Pansharpened Imagery for NDVI and Land Cover Classification?
Yes, pansharpened imagery can be used for land cover classification and, under suitable conditions, NDVI analysis. Whether it should be used depends on the source bands, fusion method and evidence that the resulting product meets the requirements of the task. A sharper image can make roads, tree crowns and field boundaries easier to distinguish. That…
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What Can Satellite Imagery Actually Tell You About Crop Health?
Satellite imagery can reveal where crop growth is uneven, how vegetation changes through the season, and which areas deserve closer inspection. It can also support estimates of canopy cover, biomass and water-related conditions. But a vegetation map does not, by itself, establish whether a crop is diseased, short of water or likely to produce a…
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What environmental indicators can be derived from satellite analytics?
Satellite analytics can generate a wide range of environmental indicators that help organizations understand ecosystem conditions, monitor environmental change, assess sustainability performance, and support informed decision-making. By transforming raw Earth observation data into measurable environmental metrics, satellite analytics provides scalable and objective insights across diverse landscapes and environmental systems. Vegetation indicators are among the most…
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How is deforestation monitored using satellite data?
Satellite data has become one of the most effective tools for monitoring deforestation and forest change at local, regional, and global scales. By providing consistent, repeatable, and objective observations of land cover over time, Earth observation technologies enable governments, environmental organizations, researchers, and private-sector stakeholders to identify forest loss, assess ecosystem impacts, and support conservation…
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Can satellite imagery help with yield prediction?
Satellite imagery has become an increasingly important component of agricultural yield prediction, enabling organizations to estimate crop production before harvest and gain earlier visibility into potential agricultural outcomes. By combining Earth observation data with agronomic models, weather information, and historical records, analysts can develop more accurate forecasts at field, regional, national, and global scales. Yield…
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What are indices?
Indices are calculated using the multispectral bands. These calculations result in the outputs being in the form of an index with values between 0-1. At the same time, the indices provide additional information about the ground surface being imaged. There are four EarthCache outputs that are under the indices umbrella: NDVI, MSAVI2, EVI and NDWI2.…