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NTIS 바로가기대한원격탐사학회지 = Korean journal of remote sensing, v.37 no.3, 2021년, pp.463 - 473
박성욱 (나라스페이스 테크놀로지) , 김민식 (나라스페이스 테크놀로지)
Recently, United States Geological Survey (USGS) distributed Landsat 8 Collection 2 Level 2 Science Product (L2SP). This paper aims to derive land surface temperature from L2SP and to validate it. Validation is made by comparing the land surface temperature with the one calculated from Landsat 8 Col...
Avdan, U. and G. Jovanovska, 2016. Algorithm for automated mapping of land surface temperature using LANDSAT 8 satellite data, Journal of Sensors, 2016: 1-9.
Chae, S.H., S.H. Park, and M.J. Lee, 2017. A study on the observation of soil moisture conditions and its applied possibility in agriculture using land surface temperature and NDVI from landsat-8 OLI/TIRS satellite image, Korean Journal of Remote Sensing, 33(6-1): 931-946 (in Korean with English abstract).
Guha, S., H. Govil, A. Dey, and N. Gill, 2018. Analytical study of land surface temperature with NDVI and NDBI using Landsat 8 OLI and TIRS data in Florence and Naples city, Italy, European Journal of Remote Sensing, 51(1): 667-678.
Kim, S., S.J. Lee, and Y.W. Lee, 2020. Retrieval of land surface temperature using Landsat 8 images with deep neural networks, Korean Journal of Remote Sensing, 36(3): 487-501 (in Korean with English abstract).
Li, Z. L., B.H. Tang, H. Wu, H. Ren, G. Yan, Z. Wan, and J.A. Sobrino, 2013. Satellite-derived land surface temperature: Current status and perspectives, Remote Sensing of Environment, 131: 14-37.
Mohan, M., 2000. Climate change: evaluation of ecological restoration of delhi ridge using remote sensing and GIS technologies, International Archives of Photogrammetry and Remote Sensing, 33(B7/2; PART 7): 886-894.
Orhan, O., S. Ekercin, and F. Dadaser-Celik, 2014. Use of landsat land surface temperature and vegetation indices for monitoring drought in the Salt Lake Basin Area, Turkey, The Scientific World Journal, 2014: 1-12.
Ramaiah, M., R. Avtar, and M. Rahman, 2020. Land Cover Influences on LST in Two Proposed Smart Cities of India: Comparative Analysis Using Spectral Indices, Land, 9(9): 292.
Small, C., 2006. Comparative analysis of urban reflectance and surface temperature, Remote Sensing of Environment, 104(2): 168-189.
Singh, P., N. Kikon, and P. Verma, 2017. Impact of land use change and urbanization on urban heat island in Lucknow city, Central India, A remote sensing based estimate, Sustainable Cities and Society, 32: 100-114.
Sekertekin, A. and S. Bonafoni, 2020. Land surface temperature retrieval from Landsat 5, 7, and 8 over rural areas: assessment of different retrieval algorithms and emissivity models and toolbox implementation, Remote Sensing, 12(2): 294.
Tomlinson, C.J., L. Chapman, J.E. Thornes, and C. Baker, 2011. Remote sensing land surface temperature for meteorology and climatology: A review, Meteorological Applications, 18(3): 296-306.
USGS (United States Geological Survey), 2013. Landsat Level-1 Data Product, https://www.usgs.gov/land-resources/nli/landsat/usingusgs-landsat-level-1-data-product, Accessed on May. 17, 2021.
USGS (United States Geological Survey), 2019. LANDSAT 8(L8) Data Users Handbook, Department of the Interior US Geological Survey, Reston, VA, USA, pp. 54-55.
USGS (United States Geological Survey), 2020. Landsat 8 Collection 2 (C2) Level 2 Science Product (L2SP) Guide, Department of the Interior US Geological Survey, Reston, VA, USA, pp. 1-20.
Zhang, J., Y. Wang, and Y. Li, 2006. A C++ program for retrieving land surface temperature from the data of Landsat TM/ETM+ band6, Computers & Geosciences, 32(10): 1796-1805.
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