{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T19:22:54Z","timestamp":1773429774158,"version":"3.50.1"},"reference-count":27,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2023,5,24]],"date-time":"2023-05-24T00:00:00Z","timestamp":1684886400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"USDA NIFA Hatch\/Multi-State Project","award":["ARZT-1370600-R21-189"],"award-info":[{"award-number":["ARZT-1370600-R21-189"]}]},{"name":"USDA NIFA Hatch\/Multi-State Project","award":["2020-67019-31028"],"award-info":[{"award-number":["2020-67019-31028"]}]},{"name":"United States Department of Agriculture (USDA) National Institute of Food and Agriculture (NIFA)","award":["ARZT-1370600-R21-189"],"award-info":[{"award-number":["ARZT-1370600-R21-189"]}]},{"name":"United States Department of Agriculture (USDA) National Institute of Food and Agriculture (NIFA)","award":["2020-67019-31028"],"award-info":[{"award-number":["2020-67019-31028"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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 (NTR) and the normalized difference vegetation index (NDVI) 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 NTR\u2212NDVI 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.<\/jats:p>","DOI":"10.3390\/rs15112736","type":"journal-article","created":{"date-parts":[[2023,5,25]],"date-time":"2023-05-25T02:00:55Z","timestamp":1684980055000},"page":"2736","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["The Feasibility of Remotely Sensed Near-Infrared Reflectance for Soil Moisture Estimation for Agricultural Water Management"],"prefix":"10.3390","volume":"15","author":[{"given":"Ebrahim","family":"Babaeian","sequence":"first","affiliation":[{"name":"Department of Soil, Water, and Ecosystem Sciences, University of Florida, Gainesville, FL 32611, USA"}]},{"given":"Markus","family":"Tuller","sequence":"additional","affiliation":[{"name":"Department of Environmental Science, The University of Arizona, Tucson, AZ 85721, USA"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"530","DOI":"10.1029\/2018RG000618","article-title":"Ground, Proximal, and Satellite Remote Sensing of Soil Moisture","volume":"57","author":"Babaeian","year":"2019","journal-title":"Rev. Geophys."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"704","DOI":"10.1109\/JPROC.2010.2043918","article-title":"The Soil Moisture Active Passive (SMAP) Mission","volume":"98","author":"Entekhabi","year":"2010","journal-title":"Proc. IEEE"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1729","DOI":"10.1109\/36.942551","article-title":"Soil Moisture Retrieval from Space: The Soil Moisture and Ocean Salinity (SMOS) Mission","volume":"39","author":"Kerr","year":"2001","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"L20401","DOI":"10.1029\/2007GL031088","article-title":"Initial soil moisture retrievals from the METOP-A Advanced Scatterometer (ASCAT)","volume":"34","author":"Bartalis","year":"2007","journal-title":"Geophys. Res. Lett."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1016\/j.rse.2013.02.027","article-title":"Soil moisture mapping using Sentinel-1 images: Algorithm and preliminary validation","volume":"134","author":"Paloscia","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Sadeghi, M., Tabatabaeenejad, A., Tuller, M., Moghaddam, M., and Jones, S.B. (2017). Advancing NASA\u2019s AirMOSS P-Band Radar Root Zone Soil Moisture Retrieval Algorithm via Incorporation of Richards\u2019 Equation. Remote Sens., 9.","DOI":"10.20944\/preprints201608.0237.v1"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1016\/j.biosystemseng.2012.08.009","article-title":"Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps","volume":"114","author":"Mulla","year":"2013","journal-title":"Biosyst. Eng."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.rse.2015.04.007","article-title":"A linear physically-based model for remote sensing of soil moisture using short wave infrared bands","volume":"164","author":"Sadeghi","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.rse.2017.05.041","article-title":"The optical trapezoid model: A novel approach to remote sensing of soil moisture applied to Sentinel-2 and Landsat-8 observations","volume":"198","author":"Sadeghi","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"892","DOI":"10.2136\/sssaj1980.03615995004400050002x","article-title":"A closed-form equation for predicting the hydraulic conductivity of unsaturated soils","volume":"44","year":"1980","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_11","unstructured":"Kirkham, M.B. (2014). Principles of Soil and Plant Water Relations, Academic Press. [2nd ed.]."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"W10410","DOI":"10.1029\/2009WR007944","article-title":"An objective analysis of the dynamic nature of field capacity","volume":"45","author":"Twarakavi","year":"2009","journal-title":"Water Resour. Res."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1007\/BF00347989","article-title":"Extreme water stress and photosynthetic activity of the desert plant Artemisia herba-alba asso","volume":"10","author":"Kappen","year":"1972","journal-title":"Oecologia"},{"key":"ref_14","unstructured":"Cuenca, R.H. (1989). Irrigation System Design: An Engineering Approach, Prentice Hall."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1016\/j.rse.2018.04.029","article-title":"Mapping soil moisture with the OPtical TRApezoid Model (OPTRAM) based on long-term MODIS observations","volume":"211","author":"Babaeian","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.2136\/vzj2015.08.0115","article-title":"Evaluation of a Direct-Coupled Time-Domain Reflectometry for Determination of Soil Water Content and Bulk Electrical Conductivity","volume":"15","author":"Schwartz","year":"2016","journal-title":"Vadose Zone J."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"893","DOI":"10.3389\/fpls.2018.00893","article-title":"Comparative Aerial and Ground Based High Throughput Phenotyping for the Genetic Dissection of NDVI as a Proxy for Drought Adaptive Traits in Durum Wheat","volume":"9","author":"Condorelli","year":"2018","journal-title":"Front. Plant Sci."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2752","DOI":"10.1175\/1520-0442(2004)017<2752:TSOLSM>2.0.CO;2","article-title":"Time Scales of Layered Soil Moisture Memory in the Context of Land-Atmosphere Interaction","volume":"17","author":"Wu","year":"2004","journal-title":"J. Clim."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"3449","DOI":"10.1002\/hyp.6578","article-title":"Relationship between soil moisture of near surface and multiple depths of the root zone under heterogeneous land uses and varying hydroclimatic conditions","volume":"21","author":"Mahmood","year":"2007","journal-title":"Hydrol. Process."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"139","DOI":"10.5194\/hess-18-139-2014","article-title":"Estimating root zone soil moisture using near-surface observations from SMOS","volume":"18","author":"Ford","year":"2014","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1016\/j.rse.2006.10.027","article-title":"Modeling and assimilation of root zone soil moisture using remote sensing observations in Walnut Gulch watershed during SMEX04","volume":"112","author":"Das","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"L04401","DOI":"10.1029\/2011GL050655","article-title":"Assimilation of passive and active microwave soil moisture retrievals","volume":"39","author":"Draper","year":"2012","journal-title":"Geophys. Res. Lett."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.advwatres.2015.07.021","article-title":"Root-zone soil moisture estimation from assimilation of downscaled Soil Moisture and Ocean Salinity data","volume":"84","author":"Dumedah","year":"2015","journal-title":"Adv. Water Resour."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"410","DOI":"10.1016\/j.jhydrol.2011.01.020","article-title":"Hydraulic parameter estimation by remotely-sensed top soil moisture observations with the particle filter","volume":"399","author":"Montzka","year":"2011","journal-title":"J. Hydrol."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"3735","DOI":"10.1029\/1999WR900258","article-title":"Estimating root zone soil moisture from surface soil moisture data and soil-vegetation-atmosphere transfer modeling","volume":"35","author":"Wigneron","year":"1999","journal-title":"Water Resour. Res."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1199","DOI":"10.5194\/hess-18-1199-2014","article-title":"A physically based approach for the estimation of root-zone soil moisture from surface measurements","volume":"18","author":"Manfreda","year":"2014","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1016\/j.jhydrol.2017.01.020","article-title":"Predicting root zone soil moisture with soil properties and satellite near-surface moisture data across the conterminous United States","volume":"546","author":"Baldwin","year":"2017","journal-title":"J. Hydrol."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/11\/2736\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:41:28Z","timestamp":1760125288000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/11\/2736"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,24]]},"references-count":27,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2023,6]]}},"alternative-id":["rs15112736"],"URL":"https:\/\/doi.org\/10.3390\/rs15112736","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,24]]}}}