NDVI - Vegetation Index
The Normalized Difference Vegetation Index (NDVI) constitutes a good measurement of the physiological activity of the plants; also, in empirical studies, it shows a correlation of between 85 and 90% with the crops yields.
The NDVI is an index calculated based on the radiation of remote sensing reflection bands:
//insert image of NDVI Formula
1 and 2 are the reflectance of the infrared and red bands; in the particular case of Landsat images, it corresponds to bands 4 and 3.
These bands are selected because of the spectral response of the vegetation, which has a high reflectance to the near-infrared band, while the red band is used as a reference, since it always keeps a near constant value.
Spectral behavior of the ground elements
Analysis of the spectral response of healthy vegetation
This index varies between known parameters (-1, 1). This facilitates its clasification since values less than 0.2 the foliar activity is low, while values greater than 0.4 correspond to active levels of foliar activity.
It has a direct relation with the quantity, quality and development of vegentation, and it correlates well with the yield of a given field in key dates.
Using NDVI for scouting maps and field monitoring
Scouting Maps allows advisors and producers to identify problem areas, and to make timely decisions. Scouting Maps can be requested at key dates as a guidance for field visits. These maps are generated based on Landsat imagery, which have a revisit time of 16 days. Thus, there are predefined dates when NDVI for scouting may be available, provided that there are no cloud obstacles on the date of image capture.
NDVI based scout 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.
Since NDVI shows variation of biomass within a field and divides those differences into management zones, these maps help managers to make better scouting decisions and address those decisions with variable rate crop applications driven by variable rate prescriptions created with GeoAgro GIS.
Plant growth regulators, insecticides, herbicides, fungicides, mid-season fertilizers and harvest are valuable resources that can be effectively used to for better crop management while minimizing input costs.
Another approach of using NDVI maps is for field monitoring; this involves processing all suitable images (with no cloud cover) during the crop season, and detect possible anomalies during the season. Usually there would be between 4 and 6 images available for analysis during the season.
//put images of lanham in different dates