[논문]산불피해대장 정보와 위성영상 기반 산불발생데이터의 연계 방안

김태희; 최진무

doi:10.7780/kjrs.2020.36.5.3.10

산불피해대장 정보와 위성영상 기반 산불발생데이터의 연계 방안
The Method of Linking Fire Survey Data with Satellite Image-based Fire Data 원문보기

대한원격탐사학회지 = Korean journal of remote sensing, v.36 no.5 pt.3, 2020년, pp.1125 - 1137

김태희 (경희대학교 지리학과) , 최진무 (경희대학교 이과대학 지리학과)

초록
AI-Helper

본 연구에서는 산불 발생 위치와 면적만 기록하는 산불피해대장 정보의 한계점을 보완하기 위해 위성 영상 기반의 산불발생데이터의 연계 방법을 제시하고자 하였다. 이를 위해 2012년 1월 ~ 2019년 12월 사이 산림청에서 제공하는 산불피해대장 자료와 MODIS 및 VIIRS 기반 산불발생데이터를 연계하는 방안을 도출하였다. 연구 결과 191건의 산불피해대장 산불 중 MODIS와 VIIRS 기반 산불발생데이터는 각각 약 11%와 44%의 산불에 대해 발생지역 확인이 가능하였다. VIIRS 기반 산불발생데이토로 추출한 피해지역에 대해 고해상도의 Sentinel-2A 위성으로 확인한 산불 영역과 비교한 결과 평균 56% 정도의 산림지역 피해가 추출되었다. 따라서 대규모 산불에 대해서는 VIIRS 산불발생데이터를 이용하면 면적과 발화점 위치만 기록하는 산불피해대장 정보의 한계점을 보완할 수 있을 것이다.

Abstract ▼ AI-Helper

This study aimed to propose the method of linking satellite image-based forest fire data to supplement the limitation of forest fire survey data that records only the ignition location and area of forest fire. For this purpose, a method was derived to link the fire survey data provided by the Korea Forest Service between January 2012 and December 2019 with MODIS and VIIRS image-based forest fire data. As a result, MODIS and VIIRS-based forest fire data out of 191 wildfires in the forest fire survey data were able to identify 11% and 44% of fire damage area, respectively. An average of 56% of forest damage area was extracted from VIIRS-based forest fire data compared to forest fire areas identified by high-resolution Sentinel-2A satellites. Therefore, for large-scale forest fires, VIIRS wildfire data can be used to compensate for the limitations of forest fire survey data that records only the ignition location and area.

주제어

표/그림 (13)

그림 Fig. 1. (a) KFS fire survey data that can be joined the MCD14DL and (b) KFS fire survey data that can be joined the VNP14IMGTDL_NRT.
그림 Fig. 2. Process of join with KFS fire survey data and RS active fire products: (a) ignition point of the KFS fire survey data and corresponding VIIRS active fire products, (b) VIIRS active fire products combined with ignition point of fire survey data by exploring adjacent administrative divisions, (c) Second search for adjacent divisions from combined VIIRS active fire products, and (d) stopped search if no more active fire products are combined with previous combination.
표 Table. 1. Group by Confidence in RS active fire products
표 Table. 2. Results of the of join with KFS’s fire-damaged records and RS Active Fire Products
그림 Fig. 3. Examples of spatial distribution of low confidence level point and V-b group among VIIRS active fire products combined with KFS fire survey data.
그림 Fig. 4. Examples of spatial distribution of lower than 30% confidence level points and M-d group among MODIS active fire products combined with KFS fire survey data.
그림 Fig. 5. VIIRS active fire products that joined with KFS fire survey data.
그림 Fig. 6. The Extend of the ten Sentinel-2A granules.
그림 Fig. 9. The result of comparative analysis: Seongsan-myeon, Gangneung-si, Gangwon-do (left: all land cover, right: forest cover).
표 Table. 3. List collected Sentinel-2A and burned area coverage data
그림 Fig. 7. Process between Sentinel-2A and VIIRS active fire products coverage (top: all land cover, bottom: forest cover).
표 Table. 4. The result of comparative analysis
그림 Fig. 8. The result of comparative analysis: Toseong-myeon, Goseong-gun, Gangwon-do (left: all land cover, right: forest cover).

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