Estimating midday near-surface air temperature by weighted consideration of surface and atmospheric moisture conditions using COMS and SPOT satellite data
The measurement of near-surface air temperature (T
a) is critically important for understanding the Earth’s energy and water circulation system and for diverse modelling applications. T
a data obtained from meteological ground stations are basically
available but not suitable for large-scale areas, because of their spatial limitation. Remote-sensing techniques can provide a spatially well-distributed T
a map. However, the current remote-sensing methodology for T
a mapping has accuracy inferior to common
expectations in terms of the region of various terrestrial ecosystems and climatic conditions. Our aim was to develop a midday T
a retrieval algorithm with reasonable accuracy over Northeast Asia during one seasonal year. In consideration of the various environmental conditions
in our study area, T
a was calculated using land surface temperature and the normalized difference vegetation index in the nine cases derived from the combination of surface and atmospheric moisture conditions, and a weighting factor was applied to reduce the bias error among
T
a results from nine cases. The reasonable pixel window size was established as 13 × 13. The validation process yielded a coefficient of determination (R
2), root mean square error, and bias values of 0.9401, 2.8865 K, and 0.4920 K,
respectively. Although the study area includes diverse land-cover and climatic conditions, our satellite-derived T
a data provided better results compared with a previous study of only four cases with no weighting function in the Korean peninsula. Our suggested methodology
will be useful in estimating T
a using satellite data, particularly over complex land surfaces.
Document Type: Research Article
Affiliations: 1: National Meteorological Satellite Centre, Korea Meteorological Administration, Jincheon-gun, 365-831, Republic of Korea 2: Department of Spatial Information Engineering, Pukyong National University, Busan, 608-737, Republic of Korea 3: Geospatial Information Research Division, Korea Research Institute for Human Settlements, Anyang-si, 431-712, Republic of Korea 4: Satellite Information Research Laboratory, Earth Observation Research Team, Korea Aerospace Research Intitute, Daejeon, 305-806, Republic of Korea 5: Meteorologial Industry and Information Technology Bureau, Korea Meteorological Administration, Seoul, 156-720, Republic of Korea
Publication date: 03 July 2015
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