The Feasibility of Remotely Sensed Near-Infrared Reflectance for Soil Moisture Estimation for Agricultural Water Management

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In-depth knowledge about soil moisture dynamics is crucial for irrigation management in precision agriculture. This study evaluates the feasibility of high spatial resolution near-infrared remote sensing with unmanned aerial systems for soil moisture estimation to provide decision support for precision irrigation management. A new trapezoid model based on near-infrared transformed reflectance ((Formula presented.)) and the normalized difference vegetation index ((Formula presented.)) is introduced and used for estimation and mapping of root zone soil moisture and plant extractable water. The performance of the proposed approach was evaluated via comparison with ground soil moisture measurements with advanced time domain reflectometry sensors. We found the estimates based on the (Formula presented.) trapezoid model to be highly correlated with the ground soil moisture measurements. We believe that the presented approach shows great potential for farm-scale precision irrigation management but acknowledge that more research for different cropping systems, soil textures, and climatic conditions is needed to make the presented approach viable for the application by crop producers.

Original languageEnglish (US)
Article number2736
JournalRemote Sensing
Volume15
Issue number11
DOIs
StatePublished - Jun 2023

Keywords

  • agricultural irrigation management
  • near-infrared reflectance
  • plant extractable water
  • remote sensing
  • soil moisture
  • unmanned aerial systems

ASJC Scopus subject areas

  • General Earth and Planetary Sciences

Fingerprint

Dive into the research topics of 'The Feasibility of Remotely Sensed Near-Infrared Reflectance for Soil Moisture Estimation for Agricultural Water Management'. Together they form a unique fingerprint.

Cite this