LIFE uses state-of-the-art remote sensing products and data on species' habitat preferences to quantify changes in Area of Habitat (AoH). Estimated contemporary AoH is compared with potential AoH in the absence of humans to estimate a species’s probability of persistence and to test the effects of different land-use actions.

Our research focuses on the development of GreenLens, a smartphone application designed to measure tree trunk diameter without the need for high-end depth sensors. This innovation addresses the limitations of traditional methods, which are often time-consuming and labor-intensive, as well as the constraints of existing smartphone-based techniques that rely on specialized hardware.

GreenLens: Accelerating Forest Measurements

Research

Research Theme: Energy Systems 

PV Sizing and Operation

Researcher: Anaïs Berkes

Supervisor: Srinivasan Keshav

Summary:

Resources

Title:

Spread: A Large-Scale, High-Fidelity Synthetic Dataset for Multiple Forest Vision Tasks

Authors: 

Zhengpeng (Frank) Feng, Yihang She, EEG Group, PhD students and Prof Srinivasan Keshav in the Department of Computer Science and Technology at the University of Cambridge.

Description:

EEG News

The Declaration on an Academic Response to the Planetary Crisis, published in the ACM SIGEnergy Newsletter

09 April 2025