Forest Fires
-She Space International Project-
김수연 (Soo Yeon Kim), 김이린 (I-rin Kim), 김지언 (Jieon Kim), 유현서 (Hyun-seo You), 장은달 (Eun Dal Chang)
contents
1.Subject
2.Topic Selection Background
3.What is NDVI?
4.Inquiry tool
5.A method of inquiry
6. A subject of inquiry
7. The results of a search
8. Conclusion
9. Impressions and reviews
NDVI-Based Analysis of Vegetation Changes
Following Forest Fires
Topic
Topic Selection Background
Global forest fire
2025 Uiseong Forest Fire in
South Korea
Country
Year of
occurrence
Damaged area
(km²)
Australia
2020
240000
LA
2025
231
Hawaii
2023
8.8
Global forest fire
Global forest fire
2025 Uiseong wildfire in Korea
- 2025.03.22 ~ 2025.03.30
- Damaged area: 48150 hectares
80% of the size of Korea's capital
What is NDVI?
Normalized Difference Vegetation Index
- Indicator that measures the health
status and density of plants using
remote exploration technology
- This index is obtained by
calculating the reflectance
difference between the red
wavelength and the near-infrared
wavelength.
What is NDVI?
Normalized Difference Vegetation Index
terra
Comparison before and after forest fires
based on NDVI data
aqua
Before the forest fire-
March
After the forest fire-
April
Before forest fire
3/15
After forest fire
3/30
Comparison before and after Uiseong forest fires based on NDVI data
GK2A
1. GK2A
2. Colab
Research methods
GK2A
1. Official operation
• 2019. 7. 25
2. Resolution
• Spatial resolution: 4 channel(in visible light), 2channel(in near
infrared), 10 channel(in infrared)
• Time resolution: 10minute(Earth), 2minute(Korea, Asia-Pacific)
Research methods
- data collection methods
GK2A
- Can observe the earth every 10 minutes
> enable more rapid monitoring and preparation for various disasters
> damage over time can be successively observed
- AMI(Advanced Metering Infrastructure) mounted on GK2A
VIS0.6 (red reflectance) and
VIS0.8 (near-infrared
reflectance) are used for NDVI
1. Download NDVI data where you want to investigate
2. Load the Korean Peninsula latitude grid data and load the
NDVI data of GK2A on top of it
3. Cut the data by specifying the area you want to investigate
4. Weave code to visualize NDVI data
5. Load data visualizing NDVI
Coding with CoLab
Coding with CoLab
2022.03.04
~ 2022.03.13
For the 2022-2025 period
- NDVI observation
Research subject: 2022 Uljin Forest Fire
Tasks
2. NDVI collection at
selected point
3. Comparison of NDVI
changes before and after
wildfires
1. NDVI Observeable
Wildfires Selection
5. Make conclusion
4. Create a NDVI change
graph using the sheet
1.NDVI Observeable Wildfires Selection
Selection criteria
- Wildfires that occurred when GK2A is available (after July 25, 2019)
- Wildfires with observable NDVI values
Candidate1: 2019 East Coast Wildfires in Gangwon-do
- Before the observation date -> eliminated
Candidate 2: 2020 Andong Wildfire
- No change observed -> eliminated
Candidate 3: 2022 Uljin-Samchuk Wildfire
- Selected
1. Gather NDVI data of GK2A
- Meteorological Agency data
- 2021-2025 level2 NDVI data collection
- Select of materials on the 1st of every month
2. Open data through colab
- Gather the average value of NDVI by specifying the latitude and enlarging it
-> Latitude: 37.0 to 37.15 Longtitude: 128.2 to 129.3
2. Collection of NDVI data at selected points
3. Comparison of NDVI changes
before and after wildfires
Check for trends of
NDVI change after
manually creating a
table of the average
NDVI values for the
region obtained
through colab.
3. Comparison of NDVI changes before and after wildfires
* Growth of herbaceous vegetation
- Low-growing grass and shrub
- level plant communities
- Vegetation that typically has a short life cycle
- High growth rate and large leaf area
: A greening burst during the early regeneration stage
: NDVI measured highly in herbaceous vegetation environments without
forest.
3. Comparison of NDVI changes before and after wildfires
4. Create a NDVI change graph using the sheet
It is necessary to
consider the error
caused by the
weather (clouds) at
the time of
measurement.
reason 1) Herbaceous Vegetation(Bush)
After a wildfire, small plants can grow quickly and make NDVI rise fast.
reason 2) Karrikin
Smoke contains a chemical called karrikin that helps seeds start to
grow. This speeds up the recovery of vegetation.
5. Make conclusion
Does the NDVI decrease after the wildfire?
-> In the short term, there is an increasing trend for two months,
but in the long term, there is a decreasing trend.
Expectation
Actual
-Sharp drop right after the fire
-Gradual recovery
-Slight increase after the fire
-Gradual decline
Impressions
and reviews
Thank you!
