Comparative Evaluation of Land Surface Temperature Images from Unmanned Aerial Vehicle and Satellite Observation for Agricultural Areas Using In Situ Data

Remotely-sensed data are a source of rich information and are valuable for precision agricultural tasks such as soil quality, plant disease analysis, crop stress assessment, and allowing for better management. It is necessary to validate the accuracy of land surface temperature (LST) that is acquire...

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Hlavní autoři:	Muhammad Awais, Wei Li, Sajjad Hussain, Muhammad Jehanzeb Masud Cheema, Weiguo Li, Rui Song, Chenchen Liu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2022-01-01
Edice:	Agriculture
Témata:	unmanned aerial vehicle ArcGIS thermal sensor LST orthomosaic Landsat 8
On-line přístup:	https://www.mdpi.com/2077-0472/12/2/184
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