USA NAIP Imagery: Natural Color

This Natural Color imagery layer features recent high-resolution (1-meter or better) aerial imagery for the continental United States, made available by the [USDA Farm Production and Conservation Business Center (FPAC)]. The [National Agriculture Imagery Program (NAIP)] acquires aerial imagery during the agricultural growing seasons in the continental United States. Approximately half of the US is collected each year and each state is typically collected every other year. This imagery layer is updated annually as new imagery is made available. The NAIP program aims to make the imagery available to governmental agencies and to the public within a year of collection. The imagery is published in 4-bands (Red, Green, Blue, and Near Infrared) where available. Additional NAIP renderings include [Color Infrared] and [NDVI] (Normalized Difference Vegetation Index) showing relative biomass of an area. Key Properties Geographic Coverage: Continental United States (Hawaii and Puerto Rico available for some years) Temporal Coverage: 2010 to 2023 Spatial Resolution: 0.3-meter to 1-meter Revisit Time: Typically every other year Source Data Coordinate System: Universal Transverse Mercator (UTM) WGS84 Service Coordinate System: Web Mercator Auxiliary Sphere WGS84 (EPSG:3857) Analysis: Optimized for analysis Multispectral Bands: ────┬─────────────┬────────────────────── Band│Description │Spatial Resolution (m) ────┼─────────────┼────────────────────── 1 │Red │0.3 - 1 ────┼─────────────┼────────────────────── 2 │Green │0.3 - 1 ────┼─────────────┼────────────────────── 3 │Blue │0.3 - 1 ────┼─────────────┼────────────────────── 4 │Near Infrared│0.3 - 1 ────┴─────────────┴────────────────────── Usage Tips and Best Practices Processing Templates * This layer includes a number of preconfigured processing templates (raster function templates) to provide on-the-fly data rendering and calculations for visualization and analysis. * Each processing template includes labels and descriptions to characterize the intended usage. This may include for visualization, for analysis, or for both visualization and analysis. Visualization * The default rendering on this layer is Natural Color (bands 1,2,3) for Visualization. * If natural color visualization is your primary use case for NAIP, you might consider using the [NAIP Imagery] tile layer for optimal display performance. * There are a number of on-the-fly renderings/processing templates designed specifically for data visualization. * By default, the most recent imagery available for a given area is prioritized and dynamically fused into a single mosaicked image layer. To discover and isolate specific images for visualization in Map Viewer, try using the [Image Collection Explorer]. Analysis * In order to leverage the optimization for analysis, the capability must be enabled by your ArcGIS organization administrator. More information on enabling this feature can be found in the ‘Regional data hosting’ section of this [help doc]. * Optimized for analysis means this layer does not have size constraints for analysis and it is recommended for multisource analysis with other layers optimized for analysis. See [this group] for a complete list of imagery layers optimized for analysis. * Using the "None" processing template option as input to analysis provides all bands with raw pixel values and is recommended for many use cases. Otherwise, only processing templates that include a "for analysis" designation should be used as input to analysis. * Prior to running analysis, users should always provide some form of data selection with either a [layer filter] (e.g. for a specific year, year range, state, etc.) or by selecting specific images. To discover and isolate specific images for analysis in Map Viewer, try using the [Image Collection Explorer]. Data Source NAIP imagery is credited to the United States Department of Agriculture (USDA) Farm Production and Conservation Business Center (FPAC). All imagery in this layer was is sourced from the [NAIP Registry of Open Data on AWS].