PMID- 38016233
OWN - NLM
STAT- MEDLINE
DCOM- 20231211
LR  - 20231211
IS  - 1095-8630 (Electronic)
IS  - 0301-4797 (Linking)
VI  - 350
DP  - 2024 Jan 15
TI  - Towards understanding climate change: Impact of land use indices and drainage on 
      land surface temperature for valley drainage and non-drainage areas.
PG  - 119636
LID - S0301-4797(23)02424-6 [pii]
LID - 10.1016/j.jenvman.2023.119636 [doi]
AB  - The continuous increase of urbanization and industrialization brought various 
      climatic changes, leading to global warming. The unavailability of meteorological 
      data makes remotely sensed data important for understanding climate change. 
      Therefore, the land surface temperature (LST) is critical in understanding global 
      climate changes and related hydrological processes. The main objective of this 
      work is to explore the dominant drivers of land use and hydrologic indices for 
      LST in drainage and non-drainage areas. Specifically, the relationship between 
      LST changes, land use, and hydrologic indices in Northeast Qena, Egypt, was 
      investigated. The Landsat 5 and 8 imagery, Geographic Information System (GIS), 
      and R-package were applied to identify the change detection during 2000-2021. The 
      normalized difference between vegetation index (NDVI), bare soil index (BSI), 
      normalized difference built-up, built-up index (BUI), modified normalized 
      difference water index (MNDWI), and soil-adjusted vegetation index (SAVI) were 
      employed. The non-drainage or mountain areas were found to be more susceptible to 
      high LST values. The comprehensive analysis and assessment of the spatiotemporal 
      changes of LST indicated that land use and hydrologic indices were driving 
      factors for LST changes. Considerably, LST retrieved from the Landsat imaginary 
      showed significant variation between the maximum LST during 2000 (44.82 degrees C) and 
      2021 (50.74 degrees C). However, NDBI has got less spread during the past (2000) with 
      10-13%. A high negative correlation was observed between the LST and NDVI, while 
      the SAVI and LST positively correlated. The results of this study provide 
      relevant information for environmental planning to local management authorities.
CI  - Copyright (c) 2023 Elsevier Ltd. All rights reserved.
FAU - Abu El-Magd, Sherif A
AU  - Abu El-Magd SA
AD  - Geology Department, Faculty of Science, Suez University, El Salam City, 43518, 
      Suez, Egypt.
FAU - Masoud, Ahmed M
AU  - Masoud AM
AD  - Geology Department, Faculty of Science, Sohag University, Sohag, 82524, Egypt.
FAU - Hassan, Hassan Soltan
AU  - Hassan HS
AD  - Geology Department, Faculty of Science, New Valley University, 72511, El- Kharga, 
      Egypt; Instituto de Investigaciones en Materiales, Universidad Nacional Autonoma 
      de Mexico, Circuito Exterior s/n, Ciudad Universitaria, Del. Coyoacan, Ciudad de 
      Mexico, CP, 04510, Mexico.
FAU - Nguyen, Nguyet-Minh
AU  - Nguyen NM
AD  - Laboratory of Environmental Sciences and Climate Change, Institute for 
      Computational Science and Artificial Intelligence, Van Lang University, Ho Chi 
      Minh City, Viet Nam; Faculty of Environment, School of Technology, Van Lang 
      University, Ho Chi Minh City, Viet Nam.
FAU - Pham, Quoc Bao
AU  - Pham QB
AD  - Faculty of Natural Sciences, Institute of Earth Sciences, University of Silesia 
      in Katowice, Bedzinska street 60, 41-200, Sosnowiec, Poland.
FAU - Haneklaus, Nils H
AU  - Haneklaus NH
AD  - Td Lab Sustainable Mineral Resources, University for Continuing Education Krems, 
      Dr. Karl-Dorrek-Strasse 30, 3500, Krems, Austria.
FAU - Hlawitschka, Mark W
AU  - Hlawitschka MW
AD  - Institute of Process Engineering, Johannes Kepler University Linz, Altenberger 
      Strasse 69, 4040, Linz, Austria.
FAU - Maged, Ali
AU  - Maged A
AD  - Geology Department, Faculty of Science, Suez University, El Salam City, 43518, 
      Suez, Egypt; Institute of Process Engineering, Johannes Kepler University Linz, 
      Altenberger Strasse 69, 4040, Linz, Austria. Electronic address: 
      Ali.Maged@suezuni.edu.eg.
LA  - eng
PT  - Journal Article
DEP - 20231127
PL  - England
TA  - J Environ Manage
JT  - Journal of environmental management
JID - 0401664
RN  - 0 (Soil)
SB  - IM
MH  - Temperature
MH  - *Climate Change
MH  - *Environmental Monitoring/methods
MH  - Environment
MH  - Urbanization
MH  - Soil
MH  - Cities
OTO - NOTNLM
OT  - Climate change
OT  - Drought
OT  - Land cover indices
OT  - Land surface temperature
OT  - Land use
COIS- Declaration of competing interest The authors declare that they have no known 
      competing financial interests or personal relationships that could have appeared 
      to influence the work reported in this paper.
EDAT- 2023/11/29 00:42
MHDA- 2023/12/11 12:43
CRDT- 2023/11/28 18:02
PHST- 2023/06/21 00:00 [received]
PHST- 2023/11/03 00:00 [revised]
PHST- 2023/11/15 00:00 [accepted]
PHST- 2023/12/11 12:43 [medline]
PHST- 2023/11/29 00:42 [pubmed]
PHST- 2023/11/28 18:02 [entrez]
AID - S0301-4797(23)02424-6 [pii]
AID - 10.1016/j.jenvman.2023.119636 [doi]
PST - ppublish
SO  - J Environ Manage. 2024 Jan 15;350:119636. doi: 10.1016/j.jenvman.2023.119636. 
      Epub 2023 Nov 27.