Evaluation of spectral indices for DisTrad thermal downscaling over hot arid and semi-arid areas; Case study: Gaza Strip-Palestine

Essa, Wiesam Evaluation of spectral indices for DisTrad thermal downscaling over hot arid and semi-arid areas; Case study: Gaza Strip-Palestine. [Experiment] (Unpublished)

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indecessampel_1000 - Urban_StatisticsTable_RMSE.xlsx

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indices1000_ALL.xlsx

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sharpendimages_final.xlsx

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Abstract

Remote sensing spectral indices (SIs) have been widely investigated to downscale land surface temperatures (LST) in cities characterized by urban heat island (UHI). However, SIs are rarely studied in cities with an urban cool island (UCI) phenomenon. Recent research shows that the spectral characteristics of land covers and their responses to LST are different based on their climatic type, especially for LST downscaling applications. The main objectives of this study are; 1)- to evaluate 21 SIs (described in table 2) for characterizing the UCI of the Gaza Strip, over two land cover scenarios: all classes "All" and the urban mask “urban”; 2)- to downscale simulated MODIS\LST image at 1000 m to 100 m. SIs (30 m) and LST image (100 m) is derived from Landsat 8 image of summer 2017. Regression analysis between SIs and LST within the "All" class and at 1000 m resolutions show the best SIs have the highest correlation (R2) with LST are DBSI (0.66) and ABEI (0.59). The same SIs are also shown the highest correlation in the "urban" class; DBSI (0.64) and BAEI (0.57). Moreover, DisTrad was found successful to sharpen LST over UCI areas using the indices ABEI and DBSI with the highest correlation (R2) over the "All" class (0.77 and 0.73 respectively) and using DBSI (0.59) and BAEI (0.58) in the "urban" mask.

Item Type: Experiment
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
G Geography. Anthropology. Recreation > GB Physical geography
Depositing User: د. وسام علي أحمد عيسى
Date Deposited: 05 Oct 2021 06:28
Last Modified: 05 Oct 2021 06:28
URI: http://scholar.alaqsa.edu.ps/id/eprint/6762

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