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Sentinel-2-based predictions of soil depth to inform water ..:
Fordyce, Simon I
;
Carr, Patrick M
;
Jones, Clain
...
Fordyce, S. I., Carr, P. M., Jones, C., Eberly, J. O., Sigler, W. A., Ewing, S., & Powell, S. L. (2023). Sentinel-2-based predictions of soil depth to inform water and nutrient retention strategies in dryland wheat. Agricultural Water Management, 289, 108524.. , 2023
Link:
https://scholarworks.montana.edu/xmlui/handle/1/18263
RT Journal T1 <Title>Sentinel-2-based predictions of soil depth to inform water and nutrient retention strategies in dryland wheat</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftmontanastateu:oai:scholarworks.montana.edu:1_18263&Exemplar=1&LAN=DE A1 Fordyce, Simon I A1 Carr, Patrick M A1 Jones, Clain A1 Eberly, Jed O A1 Sigler, W. Adam A1 Ewing, Stephanie A1 Powell, Scott L PB Elsevier BV YR 2023 K1 machine learning K1 NDVI K1 nitrate leaching K1 precision agriculture K1 soil thickness K1 soil water storage capacity JF Fordyce, S. I., Carr, P. M., Jones, C., Eberly, J. O., Sigler, W. A., Ewing, S., & Powell, S. L. (2023). Sentinel-2-based predictions of soil depth to inform water and nutrient retention strategies in dryland wheat. Agricultural Water Management, 289, 108524. LK http://dx.doi.org/https://scholarworks.montana.edu/xmlui/handle/1/18263 DO https://scholarworks.montana.edu/xmlui/handle/1/18263 SF ELIB - SuUB Bremen
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