Atmospherically Resistant Vegetation Index (ARVI) is a vegetation-based index that minimizes the effects of atmospheric scattering due to aerosols such as such as rain, fog, dust, smoke, or air pollution. This raster function template is used to generate a visual representation using ARVI with your data. The results cannot be used for analysis. To use this index, your imagery must have bands that collect data at wavelengths between 650nm and 865nm.References:Atmospherically Resistant Vegetation IndexRaster functionsWhen to use this raster function templateARVI is useful when working with imagery for regions with high atmospheric aerosol content. This makes it an effective visualization method to eliminate the effects of atmospheric aerosols. How to use this raster function templateIn ArcGIS Pro, search ArcGIS Living Atlas for raster function templates to apply them to your imagery layer. You can also download the raster function template, attach it to a mosaic dataset, and publish it as an image service. The output is a visual ARVI representation of your imagery. This index supports many satellite sensors, such as Landsat-8, Sentinel-2, Quickbird, IKONOS, Geoeye-1, and Pleiades-1.Applicable geographiesThe index is a standard vegetation index which is designed to work globally.
This template is used to compute urban growth between two land cover datasets, that are classified into 20 classes based on the Anderson Level II classification system. This raster function template is used to generate a visual representation indicating urbanization across two different time periods. Typical datasets used for this template is the National Land Cover Database. A more detailed blog on the datasets can be found on ArcGIS Blogs. This template works in ArcGIS Pro Version 2.6 and higher. It's designed to work on Enterprise 10.8.1 and higher.References:Raster functionsWhen to use this raster function templateThe template is useful to generate an intuitive visualization of urbanization across two images.Sample Images to test this againstNLCD2006 and NLCD2011How to use this raster function templateIn ArcGIS Pro, search ArcGIS Living Atlas for raster function templates to apply them to your imagery layer. You can also download the raster function template, attach it to a mosaic dataset, and publish it as an image service. The output is a visual representation of urban sprawl across two images. Applicable geographiesThe template is designed to work globally.
This index is developed to estimate the chlorophyll content of leaves, using the ratio of reflectivity in the near-infrared (NIR) and red-edge bands. Chlorophyll is a good indicator of the plant’s production potential. It can be also used to understand the plant’s nutrient status, stress due to water, disease outbreak, and more. This raster function template is used to generate a visual representation using CIRE with your data. The results cannot be used for analysis. To use this index, your imagery must have bands that collect data at wavelengths between 710nm and 805nm.References:Chlorophyll Index - Red Edge (CIRE)Raster functionsWhen to use this raster function templateCIRE is useful when working with imagery to determine general health of plants and productions potential. How to use this raster function templateIn ArcGIS Pro, search ArcGIS Living Atlas for raster function templates to apply them to your imagery layer. You can also download the raster function template, attach it to a mosaic dataset, and publish it as an image service. The output is a visual CIRE representation of your imagery. This index supports many satellite sensors, such as Landsat-8, Sentinel-2, and RapidEye.Applicable geographiesThe index is a standard vegetation index which is designed to work globally.
Vegetative Difference Image gives an easy to interpret visual representation of vegetative increase/decrease across 2 time periods.This raster function template is used to generate a visual product. The results cannot be used for analysis. This templates generates an NDVI in the backend, hence it requires your imagery to have the red and near infrared bands. In the resulting image, greens indicate increase in vegetation, while the magenta indicates decrease in vegetationReferences:Raster functionsWhen to use this raster function templateThis template is particularly useful when trying to intuitively visualize the increase or decrease in vegetation over two time periods. How to use this raster function templateIn ArcGIS Pro, search ArcGIS Living Atlas for raster function templates to apply them to your imagery layer. You can also download the raster function template, attach it to a mosaic dataset, and publish it as an image service. This index supports many satellite sensors, such as Landsat-8, Sentinel-2, Quickbird, IKONOS, Geoeye-1, and Pleiades-1.Applicable geographiesThe template uses a standard vegetation which is designed to work globally.
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Atmospherically Resistant Vegetation Index (ARVI) is a vegetation-based index that minimizes the effects of atmospheric scattering due to aerosols such as such as rain, fog, dust, smoke, or air pollution. This raster function template is used to generate a visual representation using ARVI with your data. The results cannot be used for analysis. To use this index, your imagery must have bands that collect data at wavelengths between 650nm and 865nm.References:Atmospherically Resistant Vegetation IndexRaster functionsWhen to use this raster function templateARVI is useful when working with imagery for regions with high atmospheric aerosol content. This makes it an effective visualization method to eliminate the effects of atmospheric aerosols. How to use this raster function templateIn ArcGIS Pro, search ArcGIS Living Atlas for raster function templates to apply them to your imagery layer. You can also download the raster function template, attach it to a mosaic dataset, and publish it as an image service. The output is a visual ARVI representation of your imagery. This index supports many satellite sensors, such as Landsat-8, Sentinel-2, Quickbird, IKONOS, Geoeye-1, and Pleiades-1.Applicable geographiesThe index is a standard vegetation index which is designed to work globally.