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Indian Biodiversity Information System 

Project Title:
Indian Biodiversity Information System 
Responsible Organisation:
Indian Institute of Remote Sensing 
Website:
www.bisindia.org 
Organisation Type:
Academic 
Project Director:
Dr P. S. Roy 
Partner Organisations:
National Remote Sensing Agency, Forest Survey of India, Wildlife Institute of India, G.B. Pant Institute of Himalayan Environment and Development, Botanical Survey of India, French Institute (Pondicherry), Maharashtra Remote Sensing Applications Centre, respective State Forest Departments
Administrative Country:
India 
Project Region:
Asia 
Project Country:
India 
Project Funding:
 
Type of technology used:
Data Management and Information Sharing 
Technology Details:
BioCap, ArcView, ArcIMS
Support Of Technology Company:
 
Conservation/Developmant Focus:
Biodiversity characterization pre-conservation
Project Duration:
 
Project Aims:
The objectives of the project are preparation of biome/ecological zone maps using satellite remote sensing data, incorporating topographical details and biogeographical classification of India;landscape characterisation to identify disturbance gradient and
prioritise area (bioprospecting) for biodiversity conservation.
Project Activities:
n effort to characterise vegetation cover, fragmentation, disturbance and biological richness across the landscape is organised in the form of Biodiversity Information System (BIS). Field samples of key ecological characters have been used for geospatial extrapolation. The species data base has been linked with above spatial details. BIS allows identification of gap areas, species / habitat relationship and helps in biodiversity conservation planning by setting priority areas. Detailed site specific field inventories with this database can be used for identifying areas for bioprospecting.

Analysis made presents full range of distinct natural communities and ecological status at landscape level. The landscape capable of maintaining the viable population species, sustain important ecological process and services that maintain biodiversity are also mapped. Results presented can form the basic guideline to plan floral and faunal inventories in future. The dataset can allow monitoring and forecasting changes through extinction models using multi-temporal data, modeling of which can help in studying the impact of global change in different landscape. Finally the approach can be extended to study genetic and species diversity in biologically rich sites for priortizing focus on bioprospecting.
Project Results:
 
Future Steps:
 
Technology Lessons Learned:
 
Contact Name 1:
Dr P.S.Roy 
Telephone/Fax 1:
 
Postal Address 1:
National Remote Sensing Agency, Department of Space, Government of India, Balanagar, Hyderabad 
Email 1:
 psr@nrsa.gov.in

 dean@iirs.gov.in 
Contact Name 2:
 
Telephone/Fax 2:
 
Postal Address 2:
 
Email 2:
 
Organisation Summary:
 
General Text:
 
Project Image:
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