The Biophysical Vegetation Indicators project aims to measure various biophysical vegetation properties in the Kingdom of Bahrain for the year 2019 , through the utilization of spectral analysis of satellite imagery in the visible and near Infra-red ranges of the spectrum .

The project outputs include a series of monthly thematic maps focusing on different vegetation properties such as the leaves water content, Nitrogen and Chlorophyll concentrations and the general plants health , as well as identifying the vegetation cover.

https://www.bahrainlocator.gov.bh/soil_veg/

• Bahrain

• Indigenous and nomadic peoples
• Decision makers from both public & private sectors , specialists in the field of agriculture , as well as farmers , environmentalists , gardeners

The project can be reproduced and copied due to the availability of data , hardware , software and expertise in the field of geographical information systems and remote sensing.

Due to the availability of the free remotely sensed data from such systems as the Sentinel constellation of remote sensing satellites , which is the backbone of the project , as well as , GIS systems and expertise , new sustainable results and data can be obtained in a continued manner.

This solution is practical , utilizing advanced technologies to deliver rich agricultural information that is extremely difficult to obtain using traditional methods such as data collection using field survey . It contributes to the Kingdom of Bahrain food security through the provision of up to date information on the general vegetation health to professionals working in agriculture , were they can monitor the plants health and take action accordingly. All our remote sensing and GIS projects whether past , present, or future, play a major role in filling geospatial information gaps. We focus on harnessing the power of technology in the form of remote sensing and GIS , in such a way to obtain valuable environmental and geospatial Information , that is accurate , currant , and addresses the need for information.