CLASSIFYING SOIL MOISTURE CONTENT USING REFLECTANCE-BASED REMOTE SENSING

CLASSIFYING SOIL MOISTURE CONTENT USING REFLECTANCE-BASED REMOTE SENSING

The ability to quantify soil moisture spatial variability and its temporal dynamics over entire fields through direct soil observations using remote sensing will improve early detection of water stress before crop physiological or economic damage has occurred, and it will contribute to the identific...

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Bibliographic Details
Main Author: Hamidisepehr, Ali
Format: Others
Published: UKnowledge 2018
Subjects:
Remote sensing
Spectroscopy
Soil moisture
Machine learning
Unmanned aircraft system
Ambient light calibration
Bioresource and Agricultural Engineering
Online Access:https://uknowledge.uky.edu/bae_etds/57
https://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1059&context=bae_etds

Internet

https://uknowledge.uky.edu/bae_etds/57
https://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1059&context=bae_etds

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