Vegetation Health Index (NOAA STAR, Weekly)

tion, and thermal condition. VH products can be used as proxy data for monitoring vegetation health, drought, soil saturation, moisture and thermal conditions, fire risk, greenness of vegetation cover, vegetation fraction, leaf area index, start/end of the growing season, crop and pasture productivity, teleconnection with ENSO, desertification, mosquito-borne diseases, invasive species, ecological resources, land degradation, etc. The VH indices range from 0 to 100 characterizing changes in vegetation conditions from extremely poor (0) to excellent (100). Fair conditions are coded by green color (50), which changes to brown and red when conditions deteriorate and to blue when they improve. The VH reflects indirectly a combination of chlorophyll and moisture content in the vegetationhealth and also changes in thermal conditions at the surface.Monitoring vegetation health (condition), including drought detection and watch, is based on radiance measurements in the visible (VIS), near infrared (NIR), and 10.3-11.3 micrometers thermal (T) bands (channels) of the Advanced Very High Resolution Radiometer (AVHRR). These measurements are processed to reduce long-term noise. The VIS and NIR values were converted to the Normalized Difference Vegetation Index (NDVI=(NIR-VIS)/(NIR+VIS)) and the T to brightness temperature (BT) using a look-up table. The NDVI and BT were filtered in order to eliminate high frequency noise. They were also adjusted for a non-uniformity of the land surface due to climate and ecosystem differences using multi-year NDVI and BT data. The NDVI and BT were converted to the Vegetation Condition Index (VCI), Temperature Condition Index (TCI), and Vegetation Health Index (VHI).The Vegetation Health Index (VHI) is a proxy characterizing vegetation health or a combined estimation of moisture and thermal conditions.

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Field Value
Source https://app.mapx.org/static.html?views=MX-33ZSA-2J004-NCVDF&zoomToViews=true#JAAc6
Author UNEP/GRID-Geneva
Maintainer UNEP/GRID-Geneva
Last Updated December 7, 2022, 08:17 (UTC)
Created December 7, 2022, 08:17 (UTC)
GUID MX-33ZSA-2J004-NCVDF
Issued 2022-03-23 14:02:38
Language EN
Modified 2022-04-28 15:22:51
Publisher email info@mapx.org
Publisher name UNEP/GRID-Geneva
Theme Web Map
data_type geospatial
keywords_m49 WLD
projects_description This project was set up in the frame of the implementation of the Cartagena Convention Secretariat’s 2020/2021 work plan and budget approved by the Sixteenth Meeting of the Contracting Parties to the Convention for the Protection and Development of the Marine Environment of the Wider Caribbean Region held from July 28-30, 2021
projects_id MX-L2W-HWZ-RIC-LM1-Y0V
projects_title Caribbean Sea and Wider Caribbean Region
range_end_at_year 2022
range_start_at_year 1981
source_abstract tion, and thermal condition. VH products can be used as proxy data for monitoring vegetation health, drought, soil saturation, moisture and thermal conditions, fire risk, greenness of vegetation cover, vegetation fraction, leaf area index, start/end of the growing season, crop and pasture productivity, teleconnection with ENSO, desertification, mosquito-borne diseases, invasive species, ecological resources, land degradation, etc. The VH indices range from 0 to 100 characterizing changes in vegetation conditions from extremely poor (0) to excellent (100). Fair conditions are coded by green color (50), which changes to brown and red when conditions deteriorate and to blue when they improve. The VH reflects indirectly a combination of chlorophyll and moisture content in the vegetationhealth and also changes in thermal conditions at the surface.Monitoring vegetation health (condition), including drought detection and watch, is based on radiance measurements in the visible (VIS), near infrared (NIR), and 10.3-11.3 micrometers thermal (T) bands (channels) of the Advanced Very High Resolution Radiometer (AVHRR). These measurements are processed to reduce long-term noise. The VIS and NIR values were converted to the Normalized Difference Vegetation Index (NDVI=(NIR-VIS)/(NIR+VIS)) and the T to brightness temperature (BT) using a look-up table. The NDVI and BT were filtered in order to eliminate high frequency noise. They were also adjusted for a non-uniformity of the land surface due to climate and ecosystem differences using multi-year NDVI and BT data. The NDVI and BT were converted to the Vegetation Condition Index (VCI), Temperature Condition Index (TCI), and Vegetation Health Index (VHI).The Vegetation Health Index (VHI) is a proxy characterizing vegetation health or a combined estimation of moisture and thermal conditions.
source_title Vegetation Health Index (NOAA STAR, Weekly)
spatial WLD