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NC Orthoimagery Latest - NDVI

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ArcGIS Hub2026-01-30 更新2026-09-03 收录
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NOTE: DO NOT DOWNLOAD THE IMAGERY BY USING THE MAP OR DOWNLOAD TOOLS ON THIS ARCGIS HUB ITEM PAGE. IT WILL RESULT IN A PIXELATED ORTHOIMAGE. INSTEAD, DOWNLOAD THE IMAGERY BY TILE OR BY COUNTY MOSAIC (2010 - current year). The NC Orthoimagery Program collects and produces 6-inch (15cm) orthoimagery on a 4-year cycle. Approximately a quarter of the state is flown each year to develop streaming imagery services, 5,000' by 5,000' tiles, and compressed single-file county mosaics. Beginning in 2020, the State started collecting a fourth band (near infrared) of imagery which, when combined with the other 3 bands of red, green, and blue, opens new possibilities for exploration and analysis. This service contains most recent 4-band (RGB+NIR) imagery collected by the NC Orthoimagery Program for any given area of North Carolina and is depicted using the Normalized Difference Vegetation Index (NDVI). The imagery has a pixel resolution of 6 inches with an RMSE of 1.0 ft X and Y. The compression method (DEFLATE) used for this imagery maintains the individual pixel values so that this data is suitable for analyses. This data is also available as WCS and WMS services. To find specific dates the images were captured use the imagery dates app or download the data. About NDVI NDVI is useful for measuring the quality, density, and amount of vegetation in a particular area. It is a single band dataset that represents vegetation health, based on the difference between the red and near infrared bands. Red and orange pixels represent areas with no vegetation. Yellow pixels represent areas with low to moderate vegetation. Green pixels represent areas with high vegetation density and health. This data is provided as a web service only (no download). Viewing the latest imagery Several web services are also available that depict the latest imagery for any location in the state. These support general viewing and raster analysis and are offered in various protocols including Esri (e.g. REST, SOAP) and OGC (e.g., WMS, WFS, WCS). These can be found by searching using the terms "orthoimagery" and "latest." To help determine which is most suitable, refer to this guide.

创建时间:
2020-12-10
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