Services Directory - cumulative_ndvi_deviance_2021_growing

cumulative_ndvi_deviance_2021_growing_season (Map Service)

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Current Version: 10.81

Service Description: This dataset contains a raster layer depicting the maximum NDVI deviations observed over a specified period. The NDVI deviations are calculated using ForWarn data, which provides continuous vegetation monitoring. The values in this layer represent the highest percent change in NDVI (pctNDVIc) for each pixel, indicating the most significant deviations in vegetation health across the study area.

Map Name: Primary

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All Layers and Tables

Layers:

ForWarn(0)
cumulative_ndvi_deviance_2021_Clip(1)

Tables:

Description: This dataset contains a raster layer depicting the maximum NDVI deviations observed over a specified period. The NDVI deviations are calculated using ForWarn data, which provides continuous vegetation monitoring. The values in this layer represent the highest percent change in NDVI (pctNDVIc) for each pixel, indicating the most significant deviations in vegetation health across the study area.

Copyright Text:

Spatial Reference:
4326

Single Fused Map Cache: true

Capabilities: Map,TilesOnly,Tilemap

Tile Info:

Height: 256
Width: 256
DPI: 96
Levels of Detail: (# Levels: 23)

Level ID: 0 [Start Tile, End Tile]
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Level ID: 22 [Start Tile, End Tile]

Format: Mixed
Compression Quality: 75
Origin:
Spatial Reference:
4326

Initial Extent:

Full Extent:

Min Scale: 6015218.0
Max Scale: 9009.0

Min LOD: 5
Max LOD: 12

Units: esriDecimalDegrees

Supported Image Format Types: Mixed

Export Tiles Allowed: true
Max Export Tiles Count: 100000

Document Info:

Title: Cumulative Magnitude of NDVI Deviance 2021
Author: vmc@uvm.edu_UVM
Comments:
Subject: The Cumulative NDVI Deviance From Normal for 2021 growing season layer represents the maximum observed deviations in the Normalized Difference Vegetation Index (NDVI) over a series of time-based raster images. This layer is derived from ForWarn NDVI data and highlights areas with significant vegetation changes, providing critical insights for environmental monitoring and management.
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