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Adaptation of Temperature Vegetation Index approach to the Test-Sites in Germany and Pakistan

Shaukat, Sana (2021) Adaptation of Temperature Vegetation Index approach to the Test-Sites in Germany and Pakistan. Master's, University of Applied Sciences Neubrandenburg.

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Abstract

Air temperature is one of the important meteorological parameters which is not only used to use to monitor the environment, it also has great impact on the agriculture. Temperature vegetation index (TVX) method is used to estimate the air temperature in DEMMIN and PUNJAB test sites. In order to evaluate the benefits of the method in at two sites, the predicted air temperature and in-situ air temperature are compared together using with the regression analysis. The results summarized that TVX has predicted the air temperature with the RMSE of 2.0 0C in DEMMIN while in PUNJAB the RMSE of 1.0 0C. The Results shows that TVX method was successfully applied to both sites. The low RMSE value for PUNJAB was attributed to less dense network of stations fewer samples to compare the results. In comparison DEMMIN test site has more through network of stations around 24 stations used to test the results provides more real-life scenario.

Item URL in elib:https://elib.dlr.de/145539/
Document Type:Thesis (Master's)
Title:Adaptation of Temperature Vegetation Index approach to the Test-Sites in Germany and Pakistan
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Shaukat, SanaHochschule NeubrandenburgUNSPECIFIEDUNSPECIFIED
Date:November 2021
Refereed publication:No
Open Access:No
Number of Pages:111
Status:Published
Keywords:remote sensing, Landsat, Air Temperature, NDVI, TS, DEMMIN, PUNJAB, TVX
Institution:University of Applied Sciences Neubrandenburg
Department:Geomatics
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Neustrelitz
Institutes and Institutions:German Remote Sensing Data Center > National Ground Segment
Deposited By: Borg, Prof.Dr. Erik
Deposited On:23 Nov 2021 10:09
Last Modified:23 Nov 2021 10:09

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