[논문]농림위성 산림분야 식생지수 검보정 사이트 설계

임중빈; 차성은; 원명수; 김준; 박주한; 류영렬; 이우균

doi:10.7780/kjrs.2022.38.3.7

[국내논문] 농림위성 산림분야 식생지수 검보정 사이트 설계
Design of Calibration and Validation Area for Forestry Vegetation Index from CAS500-4 원문보기

대한원격탐사학회지 = Korean journal of remote sensing, v.38 no.3, 2022년, pp.311 - 326

임중빈 (국립산림과학원 산림ICT연구센터) , 차성은 (국립산림과학원 산림ICT연구센터) , 원명수 (국립산림과학원 산림ICT연구센터) , 김준 (고려대학교 환경생태공학과) , 박주한 (국가농림기상센터 정보화관리부) , 류영렬 (서울대학교 조경.지역시스템공학부) , 이우균 (고려대학교 환경생태공학부)

초록
AI-Helper

우리나라 산림의 효율적인 관리와 산림 모니터링을 위해 산림청은 농림위성을 개발 중이며 2025년 발사 예정이다. 농림위성을 효율적으로 활용하기 위해 산림청 국립산림과학원은 36종의 농림위성 산림분야 활용산출물 개발을 진행 중이다. 원격탐사 기법을 활용하여 도출된 산출물들은 지상검증이 요구되며 해당 산출물들에 대한 품질 모니터링 결과를 지속적으로 보고해야 한다. 국내 최초로 산림분야 활용 위성이 개발되는 상황이라 국내에는 공식적인 산림분야 활용 산출물 검보정 사이트가 부재하다. 이에 저자들은 국제기준에 맞춰 농림위성 산림분야 활용산출물 검보정을 위한 검보정 사이트를 설계하였다. 또한 전국적으로 검보정 사이트를 설치하기 위해 적정 센서를 선택하여 해당 센서의 활용 가능성을 평가하였다. 평가 결과 지상 관측데이터와 Sentinel-2 영상과의 산림 산출물에 대한 오차가 ±5% 이내로 관측되어 해당 센서를 활용하여 전국적으로 확장이 가능함을 확인하였다.

Abstract ▼ AI-Helper

The Compact Advanced Satellite 500-4 (CAS500-4) is under development to efficiently manage and monitor forests in Korea and is scheduled to launch in 2025. The National Institute of Forest Science is developing 36 types of forestry applications to utilize the CAS500-4 efficiently. The products derived using the remote sensing method require validation with ground reference data, and the quality monitoring results for the products must be continuously reported. Due to it being the first time developing the national forestry satellite, there is no official calibration and validation site for forestry products in Korea. Accordingly, the author designed a calibration and validation site for the forestry products following international standards. In addition, to install calibration and validation sites nationwide, the authors selected appropriate sensors and evaluated the applicability of the sensors. As a result, the difference between the ground observation data and the Sentinel-2 image was observed to be within ±5%, confirming that the sensor could be used for nationwide expansion.

주제어

표/그림 (29)

표 Table 1. Calibration/validation stages and description
그림 Fig. 1. Analysis result of observation area change according to sensor height (Marcolla and Cescatti, 2018).
그림 Fig. 2. Footprint setting considering sensors. (a) Footprint setting considering sensors field of view angle (90°) and tree height and (b) Flat schematic diagram of footprint.
표 Table 2. The SD-500 specification
그림 Fig. 3. The image of SD-500 and flux tower. (a) The image of SD-500 and (b) Installation on flux tower.
표 Table 3. Central wavelength information of SD-500, CAS500-4 and Sentinel-2A
표 Table 4. Selected days of study areas
그림 Fig. 4. The Mountain Meteorology Observation System. (a) The Mountain Meteorology Observation System on Hongreung (HR) site and (b) Satellite imagery of HR site with 6 polygons.
표 Table 4. Continued
그림 Fig. 5. Comparison of observed value of Hongreung (HR) site and Sentinel-2 satellite image. (a) Period average graph of reflectance and (b) Linear correlation of Normalized Difference Vegetation Index (n=13).
표 Table 5. Surface reflectance and vegetation index difference of Hongreung (HR) site (n=13)
표 Table 6. Coefficient determination (R2) and Root Mean Square Different (RMSD) of Hongreung (HR) site (n=13)
그림 Fig. 6. The image of flux tower in Gwangreung Broadleaf Forest (GBK) site. (a) The flux tower on Gwangreung Broadleaf Forest (GBK) site and (b) Airborne imagery of GBK site.
그림 Fig. 7. Comparison of observed value of Gwangreung Broadleaf Forest (GBK) site and Sentinel-2 satellite image. (a) Period average graph of reflectance and (b) Linear correlation of Normalized Difference Vegetation Index (n=10).
그림 Fig. 8. Comparison of observed value of Gwangreung Coniferous Forest (GCK) site and Sentinel-2 satellite image. (a) Period average graph of reflectance and (b) Linear correlation of Normalized Difference Vegetation Index (n=14).
표 Table 7. Surface reflectance and vegetation index difference of Gwangreung Broadleaf Forest (GBK) site (n=10)
표 Table 8. Coefficient determination (R2) and Root Mean Square Different (RMSD) of Gwangreung Broadleaf Forest (GBK) site (n=10)
그림 Fig. 9. Comparison of observed value of Wando (WD) site and Sentinel-2 satellite image. (a) Period average graph of reflectance and (b) Linear correlation of Normalized Difference Vegetation Index (n=19).
표 Table 9. Surface reflectance and vegetation index difference of Gwangreung Coniferous Forest (GCK) site (n=14)
표 Table 10. Coefficient determination (R2) and Root Mean Square Different (RMSD) of Gwangreung Coniferous Forest (GCK) site (n=14)
표 Table 11. Surface reflectance and vegetation index difference of Wando (WD) site (n=19)
그림 Fig. 10. Comparison of observed value of Pyeongchang (PYC) site and Sentinel-2 satellite image. (a) Period average graph of reflectance and (b) Linear correlation of Normalized Difference Vegetation Index (n=23).
표 Table 12. Coefficient determination (R2) and Root Mean Square Different (RMSD) of Wando (WD) site (n=19)
표 Table 13. Surface reflectance and vegetation index difference of Pyeongchang (PYC) site (n=23)
표 Table 14. Coefficient determination (R2) and Root Mean Square Different (RMSD) of Pyeongchang (PYC) site (n=23)
그림 Fig. 11. Comparison of observed value of Hongcheon (HC) site and Sentinel-2 satellite image. (a) Period average graph of reflectance and (b) Linear correlation of Normalized Difference Vegetation Index (n=16).
표 Table 15. Surface reflectance and vegetation index difference of Hongcheon (HC) site (n=16)
표 Table 16. Coefficient determination (R2) and Root Mean Square Different (RMSD) of Hongcheon (HC) site (n=16)
그림 Fig. 12. Linear correlation of Normalized Difference Vegetation Index of flux tower sites and Sentinel-2 satellite image (n=95).

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저자의 다른 논문 :

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