The Feasibility of Remotely Sensed Near-Infrared Reflectance for Soil Moisture Estimation for Agricultural Water Management
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 precis...
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| Format: | Article |
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MDPI AG
2023-05-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/11/2736 |
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| author | Ebrahim Babaeian Markus Tuller |
| author_facet | Ebrahim Babaeian Markus Tuller |
| author_sort | Ebrahim Babaeian |
| collection | DOAJ |
| description | 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 (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>N</mi><mi>T</mi><mi>R</mi></mrow></semantics></math></inline-formula>) and the normalized difference vegetation index (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>N</mi><mi>D</mi><mi>V</mi><mi>I</mi></mrow></semantics></math></inline-formula>) 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 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>N</mi><mi>T</mi><mi>R</mi><mo>−</mo><mi>N</mi><mi>D</mi><mi>V</mi><mi>I</mi></mrow></semantics></math></inline-formula> 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. |
| first_indexed | 2024-03-11T02:58:52Z |
| format | Article |
| id | doaj.art-b7d4e853100b4c619ac95fc3d889ac72 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T02:58:52Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-b7d4e853100b4c619ac95fc3d889ac722023-11-18T08:27:59ZengMDPI AGRemote Sensing2072-42922023-05-011511273610.3390/rs15112736The Feasibility of Remotely Sensed Near-Infrared Reflectance for Soil Moisture Estimation for Agricultural Water ManagementEbrahim Babaeian0Markus Tuller1Department of Soil, Water, and Ecosystem Sciences, University of Florida, Gainesville, FL 32611, USADepartment of Environmental Science, The University of Arizona, Tucson, AZ 85721, USAIn-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 (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>N</mi><mi>T</mi><mi>R</mi></mrow></semantics></math></inline-formula>) and the normalized difference vegetation index (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>N</mi><mi>D</mi><mi>V</mi><mi>I</mi></mrow></semantics></math></inline-formula>) 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 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>N</mi><mi>T</mi><mi>R</mi><mo>−</mo><mi>N</mi><mi>D</mi><mi>V</mi><mi>I</mi></mrow></semantics></math></inline-formula> 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.https://www.mdpi.com/2072-4292/15/11/2736remote sensingunmanned aerial systemsnear-infrared reflectanceagricultural irrigation managementsoil moistureplant extractable water |
| spellingShingle | Ebrahim Babaeian Markus Tuller The Feasibility of Remotely Sensed Near-Infrared Reflectance for Soil Moisture Estimation for Agricultural Water Management Remote Sensing remote sensing unmanned aerial systems near-infrared reflectance agricultural irrigation management soil moisture plant extractable water |
| title | The Feasibility of Remotely Sensed Near-Infrared Reflectance for Soil Moisture Estimation for Agricultural Water Management |
| title_full | The Feasibility of Remotely Sensed Near-Infrared Reflectance for Soil Moisture Estimation for Agricultural Water Management |
| title_fullStr | The Feasibility of Remotely Sensed Near-Infrared Reflectance for Soil Moisture Estimation for Agricultural Water Management |
| title_full_unstemmed | The Feasibility of Remotely Sensed Near-Infrared Reflectance for Soil Moisture Estimation for Agricultural Water Management |
| title_short | The Feasibility of Remotely Sensed Near-Infrared Reflectance for Soil Moisture Estimation for Agricultural Water Management |
| title_sort | feasibility of remotely sensed near infrared reflectance for soil moisture estimation for agricultural water management |
| topic | remote sensing unmanned aerial systems near-infrared reflectance agricultural irrigation management soil moisture plant extractable water |
| url | https://www.mdpi.com/2072-4292/15/11/2736 |
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