caa a22 4500 44530040X CHVBK 20180317142555.0 cr unu---uuuuu 170323e20101201xx s 000 0 eng 10.1007/s11430-010-4131-8 doi (NATIONALLICENCE)springer-10.1007/s11430-010-4131-8 Detection of the urban heat island in Beijing using HJ-1B satellite imagery [Elektronische Daten] [Jun Yang, Peng Gong, JinXing Zhou, HuaBing Huang, Lei Wang] Satellite images are used extensively in studying the urban heat island (UHI) phenomenon. We evaluated the suitability of thermal infrared (TIR) data from the HJ-1B satellite for detecting UHI using a case study in Beijing. Two modified algorithms for retrieving the land surface temperature (LST) from HJ-1B data were tested. The results were compared with LST images derived from a Landsat TM thermal band and the MODIS LST output. The spatial pattern of UHI generated using HJ-1B data matched well with that produced using TM and MODIS data. Of the two algorithms, the mono-window algorithm performed better but further tests are necessary. With more frequent coverage than TM and higher spatial resolution than MODIS, the HJ-1B TIR data present a unique opportunity to study thermal environments in cities in China and neighboring countries. Science China Press and Springer-Verlag Berlin Heidelberg, 2010 surface temperature nationallicence NDVI nationallicence mono-window algorithm nationallicence single-channel algorithm nationallicence Yang Jun Key Laboratory of Silviculture and Conservation, Ministry of Education, Beijing Forestry University, 100083, Beijing, China aut Gong Peng State Key Laboratory of Remote Sensing Science, jointly sponsored by the Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Zhou JinXing Institute of Desertification Studies, Chinese Academy of Forestry, 100091, Beijing, China aut Huang HuaBing State Key Laboratory of Remote Sensing Science, jointly sponsored by the Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Wang Lei State Key Laboratory of Remote Sensing Science, jointly sponsored by the Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Science China Earth Sciences SP Science China Press 53(2010-12-01), 67-73 1674-7313 53<67 2010 53 11430 https://doi.org/10.1007/s11430-010-4131-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11430-010-4131-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Yang Jun Key Laboratory of Silviculture and Conservation, Ministry of Education, Beijing Forestry University, 100083, Beijing, China aut NATIONALLICENCE 700 1- Gong Peng State Key Laboratory of Remote Sensing Science, jointly sponsored by the Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 700 1- Zhou JinXing Institute of Desertification Studies, Chinese Academy of Forestry, 100091, Beijing, China aut NATIONALLICENCE 700 1- Huang HuaBing State Key Laboratory of Remote Sensing Science, jointly sponsored by the Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 700 1- Wang Lei State Key Laboratory of Remote Sensing Science, jointly sponsored by the Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 773 0- Science China Earth Sciences SP Science China Press 53(2010-12-01), 67-73 1674-7313 53<67 2010 53 11430 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer