NDVI - Scouting Maps & Field Monitoring

Normalized Differential Vegetation Index (NDVI) maps are derived from remote sensing. They are a useful resource to view crop health variability, identify possible  areas of poor plant stand, or show crop  development status, helping advisors and producers to identify problem areas, and to make timely decisions.

This resource can be used for Scouting purposes, requesting NDVI maps at key dates as a guidance for field visits, or to facilitate crop monitoring by using all suitable images (with no cloud cover) during the crop season; usually there would be between 4 and 6 images available for analysis during the season.

1. Upload your visit range of dates or signup for the season

Scouting maps are generated based on Landsat imagery, which have a revisit time of 16 days. Thus, the system will inform the coming satellite visit dates, when you will have available NDVI maps for scouting (provided that there are no cloud obstacles). An efficient option is to signup prior to the crop season, for monitoring purposes. The system will inform the satellite visit dates, depending on your fields location

2. Generation of NDVI maps.

Through an automated and objective procedure, GeoAgro will generate the NDVI map for your scouting date range. At no additional cost GeoAgro will provide NDVI images for previous dates during the crop season, to give you an overview of the crop evolution See more technical info...

3. Access your Maps online, go to the field and make decisions

Your maps are made available online for authorized users. Delivery is in pdf format for quick view, or ready to use in GeoAgro GIS or a GIS of your choice to support your ground truthing and decision making

NDVI maps show variations in the field, so the user knows where to look in the field to determine where corrective or preventative measures are needed. using GeoAgro GIS or other GIS packages, users can plan their field visit locations, take it to their GPS or a printable pdf report, and accurately evaluate the reasons for in-field variability.