پایش دمای سطح زمین با تکیه بر محصوالت سنجنده مودیس و تکنیکهای سنجش از دوری ) مطالعه موردی: دشت کاشان(

Authorsمهدیه افشاری نیا,عباسعلی ولی,فاطمه پناهی,حسین منشی
Journalکاوشهای جغرافیایی مناطق بیابانی
Page number۱۶۱
Volume number۱۱
IFثبت نشده
Paper TypeFull Paper
Published At۱۴۰۲/۰۶/۳۱
Journal GradeScientific - research
Journal TypeElectronic
Journal CountryIran, Islamic Republic Of
Journal IndexISC

Abstract

23.19993.1575. Received: April 20, 2023 Accepted: August 9, 2023 Abstract Earth surface temperature estimation is used for a wide range of studies. Therefore, the current research considers; to investigate the Earth surface temperature of Kashan Plain by relying on satellite images and remote sensing product during 2000-2020. Therefore, the products of land surface temperature (LST) with MOD11A1 identifier, normalized difference of vegetation index (NDVI) with MOD13Q1 identifier, net primary production (NPP) with MOD17A2H identifier and albedo with MOD43A1 identifier with a spatial resolution of 500 meters in the time period 8 days from the years 2000-2020 were extracted from the NASA Terra satellite database. In the following, the correlation of physical parameters was investigated using Spearman's correlation coefficient. The results showed that there is significant correlation between the NDVI and LST, primary net production and land surface temperature, and albedo and land surface temperature at the 99% confidence level, so that the correlation between vegetation cover and temperature, net primary production and temperature and albedo and temperature were equal to -0.80, -0.84 and -0.85 respectively. In general, the change of the land surface above the vegetation has a significant effect on the characteristics of the land surface. The results of this research show that a large part of the increase in temperature in the east and northeast of the study area is in barren lands as well as exposed Salt Lake, which has increased in temperature over many years. The results of this research can be considered for application in the agricultural sector, natural resources and also the environment of Kashan plain in order to know the thermal islands and make decisions regarding the improvement of vegetation conditions.

tags: Keywords: Land degradation, Remote sensing, LST, NDVI, Correlation