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      Analytical study of land surface temperature with NDVI and NDBI using Landsat 8 OLI and TIRS data in Florence and Naples city, Italy

      Author(s): 1 , 1 , 2 , 3
      Publication date Created:
      Publication date (Electronic):
      Journal: European Journal of Remote Sensing
      Publisher: Informa UK Limited

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          On the relation between NDVI, fractional vegetation cover, and leaf area index

          Toby N. Carlson, David Ripley (1997)
          Article 0 comments Cited 536 times – based on 0 reviews     Review now
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            Estimation of land surface temperature–vegetation abundance relationship for urban heat island studies

            Qihao Weng, Dengsheng Lu, Jacquelyn Schubring (2004)
            Article 0 comments Cited 434 times – based on 0 reviews     Review now
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              Land surface temperature retrieval from LANDSAT TM 5

              Leonardo Paolini, Juan Jiménez-Muñoz, José A. Sobrino (2004)
              Article 0 comments Cited 329 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Title: European Journal of Remote Sensing
                Abbreviated Title: European Journal of Remote Sensing
                Publisher: Informa UK Limited
                ISSN (Electronic): 2279-7254
                Publication date Created: June 02 2018
                Publication date Created: January 2018
                Publication date (Electronic): June 02 2018
                Publication date (Print): January 2018
                Volume: 51
                Issue: 1
                Pages: 667-678
                Affiliations
                [1 ] Department of Applied Geology, National Institute of Technology Raipur, Raipur, India
                [2 ] Department of Geography, Nazrul Balika Vidyalaya, Guma, West Bengal, India
                [3 ] Chhattisgarh Council of Science and Technology, Raipur, India
                Article
                DOI: 10.1080/22797254.2018.1474494
                SO-VID: acf73075-22b0-4fb6-a1f7-8c9f23466e46
                Copyright © © 2018
                License:

                http://creativecommons.org/licenses/by/4.0

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