Uncertainty quantification in land surface temperature retrieved from Himawari-8/AHI data by operational algorithms
2022 · ISPRS Journal of Photogrammetry and Remote Sensing
저자
Yuhei YAMAMOTO, Kazuhito Ichii, 류영렬 (Youngryel Ryu), Minseok Kang, Shohei Murayama
연구주제
NTIS 과학기술표준분류
에너지/자원만에너지·환경·원자력 확장
지원 과제·AI 키워드로 잡을 근거가 없어 분류하지 않았다.
AI 연구 키워드·방법
land surface temperature 산출 불확실성 split window algorithm
키워드 (OpenAlex)
land surface temperature uncertainty quantification Himawari-8 Advanced Himawari Imager split-window algorithm atmospheric radiative transfer model
초록
Himawari-8, a new-generation geostationary satellite, can retrieve sub-hourly land surface temperatures (LSTs) with moderate spatial resolution, providing a new scale for monitoring the thermal environment in Asia and Oceania. This study evaluated uncertainties of LSTs retrieved by three operational algorithms from Advanced Himawari Imager (AHI) data. We compared two nonlinear split-window algorithms (SOB and WAN algorithms) and one nonlinear three-band algorithm (YAM algorithm). First, the error characteristics of the retrieved LSTs caused by the input parameter errors were simulated under various land-atmospheric conditions using an atmospheric radiative transfer model. Thereafter, retrieved LSTs from actual AHI data were evaluated using in-situ observations from AsiaFlux and OzFlux networks and the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) LSTs. T…
이 논문을 지원한 국가R&D 과제 (NTIS 성과)
| 연도 | 과제 | 부처 | 사업 | 수행기관 | NTIS 분류(1순위) |
|---|---|---|---|---|---|
| 2022 | 서울대학교 스마트시티 글로벌 융합 혁신인재양성 교육연구단 | 교육부 | 4단계두뇌한국21사업(R&D) | 서울대학 | – |
인접 그래프
노드 hover = 이웃 강조 · 1회 클릭 = 고정 · 고정된 노드 다시 클릭 = 페이지 이동