Remote sensing system and GIS technologies for monitoring and preventing natural disasters in the eastern Siberia

Sukachev Institute of Forest, SB RAS, Krasnoyarsk

Head of the Institute:

Eugene A.Vaganov,
Akademgorodok, Krasnoyarsk, 660036, Russia
Tel.: (3912) 494092, Fax: (3912)433686

Principal researchers:

A.I.Sukhinin, Head of the Department of Remote Sensing Methods of Forest Investigation

Project objectives

To develop GIS technologies for predicting, monitoring, and preventing natural disastrous events, such as forest fire, floods, hurricanes, vegetation decay due to drought and insect outbreaks, in Eastern Siberia.

Background and significance of objectives

The Institute of Forest has gained more than 20-year experience in developing fundamental approaches to monitoring forest ecosystems from the air and space. During this period, the model remote sensing system "Prognose" has been designed to monitor forest fires and estimate fire hazard. The system provides quick transfer of visible, infra-red and microwave information from spacecraft and aircraft to a dispatching unit, where forest fire occurrence, spread, and growth are predicted by computer methods. These predictions are then used in fire fighting decision-making.

"Prognose" incorporates:

A set of original mathematical methods and algorithms was developed that allow the system to operate in the interactive mode. These are methods and algorithms for:

The Institute, in cooperation with the Krasnoyarsk Hydrometeorology Service and Russian EMERCOM is now actively using already available and developing new methods to predict hydrological and weather situations using NOAA information. NOAA data-based analysis of vertical profiles of atmospheric parameters (air temperature, humidity, pressure, wind, clouds, precipitation, ozone content, etc.) enables prediction and estimation of storm events. Monitoring of snowmelt dynamics combined with the use of existing models allows changes of ice and flood situations to be predicted and tracked.

A research project is now underway at the Institute aimed at developing a system to receive multi-band information from EOS-AM1 American satellite to be used for evaluating vegetation state and productivity. This is a joint project with NASA and the Krasnoyarsk Electron Research Company.

We identified predictors that, when combined with NOAA data, allow to early detect insect outbreaks. Satellite indications are refined using data from plane flights and ground investigations conducted at the Institute field stations established along the Yenisei transection.

Expected results

1. New regional models and software to predict disastrous events from spaceborne, airborne and ground information and to help reduce fire risk and mitigate negative effects of fires, floods, hurricanes, and insect outbreaks.

2. Timely supply of reliable information on current fire and flood situations and disaster predictions to local EMERCOM administrations across the Krasnoyarsk region.

3. A model of a remote sensing system for monitoring natural disasters in Eastern Siberia (the system is planned to be installed in Krasnoyarsk).

A methodology/software package to be distributed among other regional agencies (the Russian Far East, Yakutia, Buryatia, Altai, and Western Siberia) engaged in managing natural disasters by methods of remote sensing.

List of publications of participants related to the project