Air Temperature Modelling Depended on Remote Sensing Techniques

Autor: Zainab Mohammed, Riyad Al-Anbari, Oday Jasim
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Engineering and Technology Journal, Vol 38, Iss 3A, Pp 352-360 (2020)
Druh dokumentu: article
ISSN: 1681-6900
2412-0758
DOI: 10.30684/etj.v38i3A.398
Popis: Air temperature (T air) near the land surface is a fundamental descriptor of physical environmental conditions and one of the most widely used climatic variables in global change studies. In this study, the researcher trying to suggest a model for estimating air temperature in summer season for any region through integrating of Iraqi Agrometeorological networkdaily (T air) with the moderate resolution imaging spectroradiometer (MODIS) land surface temperature (LST), Duration Day Length (DDL) and Digital Elevation Model (DEM). In this model, using satellite images for the study area and data of air temperature for four weather stations located in Babylon governorate from 1- June to 30- September on year 2017 for modeling and accuracy assessment air temperature estimation. The standard error of this model is 1.72887° C, and the correlation equal to 0.69698.
Databáze: Directory of Open Access Journals