Tech-Driven Conservation: From Species to Ecosystem
Supported by
Individual Identification
and Wolf Pack Movement Tracking
Using AI and drone technology, we aim to study the fine-scale movements of the Indian wolf. This will help identify individuals from aerial imagery, providing unique insights into their social structures and movement ecology. The first-of-its-kind study in India, this will also help create a database of wolves and their crucial understudied habitat.
Estimating Ungulate Populations and Large Mammal Surveys
Accurately estimating the populations of grassland ungulates, such as Chinkara and Blackbuck, has been long overdue. We will use aerial drones, AI, and camera traps to conduct population censuses and occupancy surveys. The data will serve as crucial indicators of grassland health, aiding in long-term conservation efforts.
A herd of Blackbucks from the region.
High-Resolution Grassland Mapping for Wolf Conservation
By producing high-resolution landscape maps using drones, we can pinpoint critical grassland patches used by wolves for breeding and resting. These maps will be key for conservation management, allowing for better planning of protected areas at the district level.
Empowering Local Communities and Forest Department
Capacity-building is essential for long-term conservation. Our project includes training Forest Department officials and village youth, especially from local shepherd communities, to use technology and collect scientific data. This will create local employment and foster a deeper involvement in wildlife conservation.
Drone-flying training workshop.
Project Video
