DMC International Imaging Ltd - Remote Sensing Data Solutions

Boreal forest fires - Using forest phenology to detect death after low intensity fires.

Area of Study

Participants

Dr France Gerard, CEH Monks Wood,

Dr. Heiko Balzter, Charles George, Dr. Martin Wooster, Department of Geography, King’s College London

Dr. Alexander Onuchin, Sukachev Institute of Forest, Russian Academy of Sciences.

Abstract

This project will investigate the capability of DMC to detect and quantify the forested areas which are affected by low intensity fires and are gradually dying.

Combined with fire intensity information, produced using a method developed by Wooster et al. (2003) for MODIS imagery, the high spatial resolution, high temporal coverage and wide swath width of DMC makes the imagery particular attractive to find these small areas on a regional scale by studying their phenological behaviour after a low intensity fire event.


•		Applications Index

•		Development of a detailed land cover dataset for the monitoring of diffuse pollution in selected UK catchments.

•		Boreal forest fires - Using forest phenology to detect death after low intensity fires.

•		Developing techniques for using DMC data for National land cover mapping.

•		Modelling vegetation change at river catchment scale with multi-sensor remote sensing data.

•		Calving Flux of the Greenland Ice Sheet.

•		Inclusion of DMC data over CEOS Land Validation Core Sites.

•		Mapping vegetation burning and peat fires in central Kalimantan, Indonesia.

•		Evaluating Human Elephant Conflict in Northern Botswana using DMC Imagery, Census Data and Spatial Models.

•		Quantification of sedimentary fluxes in estuarine waters using an integrated-data modelling approach.

•		Potential application of DMC imagery for tropical disease management and mitigation.

•		Mapping burnt areas in Portugal.