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Poster Session 2
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Automatic Approach for Assessing forest Disasters Utilizing Simulated High Resolution Satellite Imagery
Tomokazu Hoshino, Tsutomu Suzuki,
Tomoyuki Suhama and Krishna Kumar Mishra
PASCO Corporation
1-1-2, Higashiyama, Meguro-ku, Tokyo 153-0043, Japan
Tel: (81)-3-3715-1530 , Fax : (81)-3-3715-1470
E-mail: tomokazu_hoshino@sed.pasco.co.jp
Abstract
A system to timely monitor and assess forest disaster has recently been developed. Forest Disaster Assessment System (FDAS) integrates GIS and simulated high-resolution satellite images for providing an immediate response to forest disaster. FDAS can also be installed on the notebook computer and used in the fields for analysis purposes. It allows visualizing, analyzing, and modeling graphic information and automatic reporting to supply valuable information managers.
Introduction
A system was developed for Forestry Agency in Fukuoka Prefecture to prepare the reports and monitor the forest damages and landslides in the mountains due to the disaster caused by typhoons and heavy rainfall in the region. It is very important to timely grasp and report the wide forested area damaged by natural disaster for monitoring purposes. In the recent years, for protecting the damage area, various analysis procedures have been developed utilizing the integrated approach of Remote Sensing and Geographic Information System (GIS). Imminent operations of high-resolution commercial remote sensing satellite, previously unavailable for public use, will be able to provide 1-meter panchromatic resolution for vital environmental monitoring purposes. The recent technologies advance has been made possible the downsizing and price reduction of GIS and related products. The GIS software installations on the notebook computers with speeds and storage capacities are becoming popular these days.
Considering the importance for grasping the damage forest area, a rapid reporting methodology was developed in the PASCO Corporation, Forest Disaster Assessment System (FDAS), utilizing simulated high-resolution satellite images. In the present study the aerial photographs were utilized for detecting the damaged areas with advance data analysis methods for more rapidly preparing repots. The function of this system can create forest register indicating various kinds of information on the forest disaster extracted from the high-resolution satellite images. The results were utilized for assessing various damaged and preparation on the screen. This system helps users to visualize alternative solutions graphically and preparation of reporting work utilizing remote sensing and GIS technologies for grasping the information on damaged caused by disasters.
Methodology
(i) Study area and data sets
The Kurogi Town, which was selected for this study, is surrounded by the forests and mountains in the Fukuoka Prefecture of Kyushu Island, Japan (Figure 1).
Figure.1 Study area in Fukuoka Prefecture
The SPOT satellite data and simulated high-resolution images from the aerial photographs were used for extracting the information on disaster. The aerial photographs were scanned and resampling was done to generate 1-meter high-resolution image. The utilized data are mentioned in Table 1.
| No. | Type of the data utilized in FDAS development | Acquisition date (before disaster) | Acquisition date (after disaster) | Area coverage |
| 1. | SPOT XS (Multispectral) | 1988, Oct. 7 | 1994, Oct. 18 | Total area |
| 2. | SPOT PA (Panchromatic) | 1990, Apr. 26 | 1994, Apr. 14 | Total area |
| 3. | Aerial Photograph (AP) showing opening of the forest road in 1991 | 1991, May | 1996, May | Area - A |
| 4. | AP showing forest damage of Typhoon in 1991 | 1991, May | 1991, Oct | Area - B |
| 5. | AP showing forest damage of typhoon in 1991 | 1991, May | 1991, Oct | Area - C |
| 6. | AP showing forest damage of typhoon in 1991 | 1991, May | 1991, Oct | Area - D |
| 7. | AP showing forest damage of typhoon in 1991 | 1991, May | 1991, Oct | Area - E |
| 8. | AP showing damage forest roads in 1991 | 1991, May | 1996, May | Area - F |
| 9. | AP showing damage forest roads in 1991 | 1991, May | 1996, May | Area - G |
| 10. | AP showing Landslides in 1993 | 1991, May | 1996, May | Area - H |
Table 1. Data set utilized in the analysis
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