Ovalle, A.G.C. and Tristan, A.C. and Amador-Nieto, J.A. and Putri, R.F. and Zahra, R.A. (2021) Analysing the land use/land cover influence on land surface temperature in San Luis Potosí Basin, México using remote sensing techniques. In: The International Conference on Smart and Innovative Agriculture, 4-5 November 2020, Yogyakarta.
Full text not available from this repository. (Request a copy)Abstract
Changes in Land Use/Land Cover (LULC) generate several impacts which affect the energy balance of the Earth and, consequently, modifying the climate of a region. Accordingly, one of the most important indicators of this modification is the Land Surface Temperature (LST). The present work aims to analyze the relationship between LULC and LST, determining the influence of LULC on LST using Geographical Information Systems (GIS) and Remote Sensing (RS) techniques. The selected study area was the San Luis Potosí Basin, México (SLPB). A temporal analysis has been developed for 2007 and 2020. Satellite images from Landsat 5 TM and 8 OLI/TIRS has been used to calculate LST through a single-channel algorithm for winter and spring. LULC has been determined from a supervised classification with neural network algorithm. Finally, change rates for LULC and LST were assessed. The results indicate that an LST increase of 11 C from 2007 to 2020 has been detected in the region. Also, results showed that covers with spare vegetation or without vegetation have the highest temperatures (29 C to 32 C). In comparison, the covers with dense vegetation and water showed the lowest temperatures (23 C to 25 C). This type of research allows addressing the LULC effects on LST, as well as prove its importance in improving land use planning systems. © Published under licence by IOP Publishing Ltd.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Cited by: 13; All Open Access, Gold Open Access |
Uncontrolled Keywords: | Agriculture; Atmospheric temperature; Land use; Remote sensing; Surface measurement; Surface properties; Vegetation; Energy balance of the earth; Highest temperature; Land Use Planning; Land use/land cover; Neural network algorithm; Remote sensing techniques; Single-channel algorithms; Supervised classification; Land surface temperature |
Subjects: | G Geography. Anthropology. Recreation > GB Physical geography |
Divisions: | Faculty of Geography > Departemen Geografi Lingkungan |
Depositing User: | Sri JUNANDI |
Date Deposited: | 30 Sep 2024 08:09 |
Last Modified: | 30 Sep 2024 08:09 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/4232 |