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Integrating Satellite Data and Geographical Information System for Forest Fire Monitoring in the Southern of Vietnam. Nguyen Hanh Quyen; Tran Minh Y Dept. Remote Sensing and GIS - Institute of Geography Vietnam National Center for Natural Science and Technology Introduction

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Presentation Transcript
slide1

Integrating Satellite Data

  • and Geographical Information System
  • for Forest Fire Monitoring
  • in the Southern of Vietnam.

Nguyen Hanh Quyen; Tran Minh Y

Dept. Remote Sensing and GIS - Institute of Geography

Vietnam National Center for Natural Science and Technology

slide2

Introduction

- The suffering from forest fire is dramaticin VietNam and other ASEAN country.

- Determine the cause of the forest fire can help to reduce the disaster, and raising the awareness.

Objective

- Remote sensing technique has closely monitored

the fires raging across the forests

- Time series analysis for the trend of land cover change

- Calculate the habitat loss in the fire area.

slide3

Overview of the study area

  • The Uminh Thuong natural conservation:
  • The core area of the nature conservation is 7943.8ha
  • The most precious and important virgin natural forest in the South of Vietnam.
  • Ecosystem are diverse in both quality and quantity of fauna and flora
  • The forest has a peat layer about 1.5 meter deep
  • Weather condition are separated into 2 seasons: Rainny and drought.
slide4

Forest fire districts in

U Minh Thuong region

Source: UNDP

slide5

Material and Method

Why choosing the SPOT satellite images?

- The High Resolution Visible (HRV) sensors on board the SPOT satellites provide high resolution (20 m in the multispectral mode) images of the fire areas.

- Individual smoke plumes can be observed in the images

- The precise locations of the fires can be determined.

- The types of landcover on fire can also be determined from the spectral and contextual features of the fire areas.

- High frequency for achiving data at the area

slide6

Material

1. MOSS1 taken on 12 Dec 1988

2. SPOT taken on 08 Jan 1995

3. SPOT taken on 04 Feb 2002

4. SPOT taken on March 2002

5. SPOT taken on 28 Sept 2002

6. MODIS from March to April 2002

Methodology

- The combinationchannels 4,3,2 representation ( SWIR(4), NIR(3), and Red(2) bands in RGB display respectively.

- Colocomposite and land cover classification for 3 images.

- Data Fusion temporal analysis for accounting the change before and after the forest fire.

slide7

Raw satellite Image in 1988 and 1995

SPOT Quicklook image

Basic image processing

Fire detection

Geo-referencing

Digital image classification

Map of land cover change from 1988 to 1995

Map of forest fire monitoring

Multi data fusion

Forest loss

in 2002

Methodology

slide8

Map of land cover in 1995

SPOT image 08 Jan 1995

slide9

Burning point

Feb 2002 (a)

March 2002 (b)

Fig 1. Fire detection in April 05th (a) and 18th (b) 2002 in the surrounding area of Uminh Thuong by MODIS satellite image

Fig 2. Area of monitoring the forest fire

in the Uminh Thuong forest

Sept 2002 (c)

slide10

A

B

Fig. 3. A. SPOT image on 28 Sept 2002 to map the cleared burnt area

B. Map of Land cover derived from SPOT image on Feb. 2002

slide11

Result

The land cover change from 1988 to March. 2002, before the forest fire

slide12

Habitat loss

Total area burnt scar in U Minh Thuong is 2954.4 ha = 37.5%

Mainly natural melaleuca forest, takes 32.1% of the area

Table 2. Area of habitat on fire

slide13

Conclusion and recommendation

- The research has calculated the burnt area and support for the governemnt to help the local and restore the forest.

- Multi temporal data fusion technique to define the cause of land cover change and also the potential area of fire, monotoring forest fire to support for the manager.

- Data access for disasater monitoring research can be achived from the Internet

-The government need to apply space technology on forest fire detection, improve the daily real time warning system for forest fire hazard during the dry season.

- Urgent need to cooperate interms of disaster management and reduction

slide14

* http://www.crisp.nus.edu.sg/

* http://www.landsat.org