气候变化领域集成服务门户(CCPortal): Sea ice surface temperature retrieval from Landsat 8/TIRS: Evaluation of five methods against in situ temperature records and MODIS IST in Arctic region

CCPortal

DOI	10.1016/j.rse.2020.111975
	Sea ice surface temperature retrieval from Landsat 8/TIRS: Evaluation of five methods against in situ temperature records and MODIS IST in Arctic region
	Fan P.; Pang X.; Zhao X.; Shokr M.; Lei R.; Qu M.; Ji Q.; Ding M.
发表日期	2020
ISSN	00344257
卷号	248
英文摘要	Accurate and high-resolution sea ice surface temperature (IST) data is of great importance for Arctic climate studies. However, the validation of high-resolution IST data using in situ measurements in polar sea ice regions is lacking. This study assesses the accuracy of three split-window (SW) and two single-channel (SC) methods, based on Landsat 8 thermal infrared imagery at 100 m resolution over Arctic sea ice regions. The SW methods are proposed by Jin et al. (2015) (SW-Jin), Jiménez-Muñoz et al. (2014) (SW-JM), and Du et al. (2015) (SW-Du). The SC methods are proposed by Jiménez-Muñoz et al. (2014) (SC-JM) and Barsi et al. (2003, 2005) (SC-Barsi). IST data derived from 58 scenes of the Landsat 8 images were compared with coincident in situ ice skin temperatures and near-surface air temperatures, as measured by a combination of Ice Mass Balance (IMB) buoys, Snow and Ice Mass Balance Array (SIMBA) buoys, and automatic weather stations. SW-Du offers the best accuracy when compared with the skin temperature (bias: −1.06 K; root mean square error (RMSE): 2.08 K) and near-surface air temperature (bias: -0.98 K; RMSE: 2.17 K). SC-Barsi ranks second, with a bias of −1.55 K and RMSE of 2.40 K for the skin temperature. As for precision, IST from the Moderate Resolution Imaging Spectrometer (MODIS) has best performance (standard deviation (STD): 1.69 K), followed by SW-Du, SW-JM, and SC-Barsi (STD: 1.80 K, 1.82 K, and 1.85 K, respectively). The Landsat IST outperforms the MODIS IST in narrow lead areas, owing to its better spatial resolution, and SW-JM and SC-Barsi methods agree best with the MODIS IST in leads and marginal ice zone scenes, respectively. As all three SW methods are constrained by banding effects with different degrees in a lead scene, they are not recommended to be applied on an image scene with severe banding artifacts. The small bias (1.26 K) and high correlation (0.99) between skin temperature and near-surface air temperature prove the capability of using near-surface air temperature as a substitute for validating a satellite IST data if skin temperature data are not available. © 2020 Elsevier Inc.
英文关键词	Arctic sea ice; Buoy; Ice surface temperature; Landsat 8; MODIS IST
语种	英语
scopus关键词	Atmospheric temperature; Atmospheric thermodynamics; Buoys; Mean square error; Radiometers; Sea ice; Small satellites; Surface properties; Weather information services; Automatic weather stations; In-situ measurement; In-situ temperature; Moderate resolution imaging spectrometers; Near surface air temperature; Root mean square errors; Standard deviation; Thermal infrared imagery; Spectrometers; air temperature; ice margin; infrared imagery; Landsat; marginal ice zone; MODIS; satellite data; sea ice; Arctic
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179196
作者单位	Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan, 430079, China; Meteorological Research Division, Toronto, Environment and Climate Change Canada, Toronto, ON M3H 5T4, Canada; SOA Key Laboratory for Polar Science, Polar Research Institute of China, Shanghai, 200136, China; State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, 100081, China
推荐引用方式 GB/T 7714	Fan P.,Pang X.,Zhao X.,et al. Sea ice surface temperature retrieval from Landsat 8/TIRS: Evaluation of five methods against in situ temperature records and MODIS IST in Arctic region[J],2020,248.
APA	Fan P..,Pang X..,Zhao X..,Shokr M..,Lei R..,...&Ding M..(2020).Sea ice surface temperature retrieval from Landsat 8/TIRS: Evaluation of five methods against in situ temperature records and MODIS IST in Arctic region.Remote Sensing of Environment,248.
MLA	Fan P.,et al."Sea ice surface temperature retrieval from Landsat 8/TIRS: Evaluation of five methods against in situ temperature records and MODIS IST in Arctic region".Remote Sensing of Environment 248(2020).