{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T08:03:48Z","timestamp":1774339428399,"version":"3.50.1"},"reference-count":96,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T00:00:00Z","timestamp":1710288000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Irrigation Innovation Consortium (IIC)","award":["COL00796"],"award-info":[{"award-number":["COL00796"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This study focused on developing a novel semi-empirical model for maize\u2019s light extinction coefficient (kp) by integrating multiple remotely sensed vegetation features from several different remote sensing platforms. The proposed kp model\u2019s performance was independently evaluated using Campbell\u2019s (1986) original and simplified kp approaches. The Limited Irrigation Research Farm (LIRF) in Greeley, Colorado, and the Irrigation Innovation Consortium (IIC) in Fort Collins, Colorado, USA, served as experimental sites for developing and evaluating the novel maize kp model. Data collection involved multiple remote sensing platforms, including Landsat-8, Sentinel-2, Planet CubeSat, a Multispectral Handheld Radiometer, and an unmanned aerial system (UAS). Ground measurements of leaf area index (LAI) and fractional vegetation canopy cover (fc) were included. The study evaluated the novel kp model through a comprehensive analysis using statistical error metrics and Sobol global sensitivity indices to assess the performance and sensitivity of the models developed for predicting maize kp. Results indicated that the novel kp model showed strong statistical regression fitting results with a coefficient of determination or R2 of 0.95. Individual remote sensor analysis confirmed consistent regression calibration results among Landsat-8, Sentinel-2, Planet CubeSat, the MSR, and UAS. A comparison with Campbell\u2019s (1986) kp models reveals a 44% improvement in accuracy. A global sensitivity analysis identified the role of the normalized difference vegetation index (NDVI) as a critical input variable to predict kp across sensors, emphasizing the model\u2019s robustness and potential practical environmental applications. Further research should address sensor-specific variations and expand the kp model\u2019s applicability to a diverse set of environmental and microclimate conditions.<\/jats:p>","DOI":"10.3390\/rs16061012","type":"journal-article","created":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T13:08:43Z","timestamp":1710335323000},"page":"1012","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["A Novel Remote Sensing-Based Modeling Approach for Maize Light Extinction Coefficient Determination"],"prefix":"10.3390","volume":"16","author":[{"given":"Edson","family":"Costa-Filho","sequence":"first","affiliation":[{"name":"Civil and Environmental Engineering Department, Colorado State University, Fort Collins, CO 80523, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6456-0822","authenticated-orcid":false,"given":"Jos\u00e9 L.","family":"Ch\u00e1vez","sequence":"additional","affiliation":[{"name":"Civil and Environmental Engineering Department, Colorado State University, Fort Collins, CO 80523, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9781-6086","authenticated-orcid":false,"given":"Huihui","family":"Zhang","sequence":"additional","affiliation":[{"name":"Water Management and Systems Research Unit, Agricultural Research Service, United States Department of Agriculture, Fort Collins, CO 80526, USA"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1364\/JOSA.18.000253","article-title":"Some effects of radiant energy on plants","volume":"18","author":"Arthur","year":"1929","journal-title":"JOSA"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Chavez, J.C., Ganjegunte, G.K., Jeong, J., Rajan, N., Zapata, S.D., Ruiz-Alvarez, O., and Enciso, J. 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