Remote Sensing

In addition to the projects highlighted below, we are part of the project INTEGRAL on the robust and efficient analysis approaches of remote imagery for assessing population and forest health in India. This project is in collaboration with the Cambridge Department of Plant Sciences, and includes as partners C40 Cities, Cognizant Technology Solutions, the Forest Survey of India, the German Aerospace Centre, Iora Ecological Solutions, and KritiKal Solutions.

Multi-sensor Remote Sensing for the Detection of Individual Trees

Researchers: Sören Dittmer, Jonathan Williams, Carola-Bibiane Schönlieb, Tom Swinfield, David A. Coomes, Juheon Lee, Xiaohao Cai

Semi-Supervised Hyperspectral Image Classification

Researcher: Angelica Aviles Rivero, Philip Sellars, David Coomes, Nicolas Papadakis, Carola-Bibiane Schönlieb

INTEGRAL: Robust and Efficient Analysis Approaches of Remote Imagery for Assessing Population and Forest Health in India

Researchers: Madeleine Kotzagiannidis, Angelica Aviles-Rivero, Rihuan Ke, Carola-Bibiane Schönlieb, David Coomes, James Woodcock, and Rahul Goel

Cambridge Image Analysis

Multi-sensor Remote Sensing for the Detection of Individual Trees

Semi-Supervised Hyperspectral Image Classification

INTEGRAL: Robust and Efficient Analysis Approaches of Remote Imagery for Assessing Population and Forest Health in India

Study at Cambridge

About the University

Research at Cambridge