This repository contains sample applications of IBM Environmental Intelligence.
If you like to contribute, please read CONTRIBUTING.md first. A list of maintainers is recorded in MAINTAINERS.md.
For documentation and tutorials regarding how to use the ibmpairs SDK for Geospatial Analytics, please consult the official documentation.
Refer to the samples below for various industry use cases of Geospatial Analytics.
| Example | Description | Industry |
|---|---|---|
| Normalized Difference Vegetation Index (NDVI) | Normalized Difference Vegetation Index (NDVI) is used to quantify vegetation greenness and is useful in understanding vegetation density and assessing changes in plant health. | Agriculture |
| Water and Moisture Detection | Normalized Difference Moisture Index (NDMI) and Modified Normalized Difference Water Index (mNDWI) provides a relative indication of the wetness or dryness of an area, helping to identify potential water stress or drought conditions or combustibility levels in fire-prone areas. | Agriculture, Disaster Events |
| Sea Rise Risk Prediction | Geospatial Analytics can help determine the possible regions that come under the threat of rise in sea levels | Climate Change, Disaster Events |
To know the basics of Geospatial Analytics Above Ground Biomass (AGB) Dataset, start with the AGB Catalogue sample.
To get an understanding of the Geospatial Analytics Above Ground Biomass (AGB) Species Agnostic usage refer to AGB Species Agnostic sample.
To get an understanding of the Geospatial Analytics Above Ground Biomass (AGB) Species Specific usage refer to AGB Species Specific sample.
Refer to the samples below for various industry use cases of Geospatial Analytics Above Ground Biomass (AGB)
| Example | Description | Industry |
|---|---|---|
| Historical Difference AGB | Above Ground Biomass (AGB) can be used to find out how much the AGB cover has changed over the years for various use case like measuring deforestation, wildfires etc. | Disaster Events |
Refer samples for Historical Weather On Demand - Direct.