Prediction of crop coefficients from fraction of ground cover and height. Background and validation using ground and remote sensing data

Citations

Cited by:

1. Shao, Guomin & Han, Wenting & Zhang, Huihui & Zhang, Liyuan & Wang, Yi & Zhang, Yu, 2023. "Prediction of maize crop coefficient from UAV multisensor remote sensing using machine learning methods," Agricultural Water Management, Elsevier, vol. 276(C).
2. Cahn, Michael & Smith, Richard & Melton, Forrest, 2023. "Field evaluations of the CropManage decision support tool for improving irrigation and nutrient use of cool season vegetables in California," Agricultural Water Management, Elsevier, vol. 287(C).
3. Darouich, Hanaa & Karfoul, Razan & Ramos, Tiago B. & Moustafa, Ali & Shaheen, Baraa & Pereira, Luis S., 2021. "Crop water requirements and crop coefficients for jute mallow (Corchorus olitorius L.) using the SIMDualKc model and assessing irrigation strategies for the Syrian Akkar region," Agricultural Water Management, Elsevier, vol. 255(C).
4. Vinod Phogat & Tim Pitt & Paul Petrie & Jirka Šimůnek & Michael Cutting, 2023. "Optimization of Irrigation of Wine Grapes with Brackish Water for Managing Soil Salinization," Land, MDPI, vol. 12(10), pages 1-29, October.
5. Liu, Meihan & Paredes, Paula & Shi, Haibin & Ramos, Tiago B. & Dou, Xu & Dai, Liping & Pereira, Luis S., 2022. "Impacts of a shallow saline water table on maize evapotranspiration and groundwater contribution using static water table lysimeters and the dual Kc water balance model SIMDualKc," Agricultural Water Management, Elsevier, vol. 273(C).
6. Jovanovic, N. & Pereira, L.S. & Paredes, P. & Pôças, I. & Cantore, V. & Todorovic, M., 2020. "A review of strategies, methods and technologies to reduce non-beneficial consumptive water use on farms considering the FAO56 methods," Agricultural Water Management, Elsevier, vol. 239(C).
7. Ott, Thomas J. & Majumdar, Sayantan & Huntington, Justin L. & Pearson, Christopher & Bromley, Matt & Minor, Blake A. & ReVelle, Peter & Morton, Charles G. & Sueki, Sachiko & Beamer, Jordan P. & Jasoni, 2024. "Toward field-scale groundwater pumping and improved groundwater management using remote sensing and climate data," Agricultural Water Management, Elsevier, vol. 302(C).
8. Williams, Larry E. & Levin, Alexander D. & Fidelibus, Matthew W., 2022. "Crop coefficients (Kc) developed from canopy shaded area in California vineyards," Agricultural Water Management, Elsevier, vol. 271(C).
9. DeJonge, Kendall C. & Thorp, Kelly R. & Brekel, Josh & Pokoski, Tyler & Trout, Thomas J., 2024. "Customizing pyfao56 for evapotranspiration estimation and irrigation scheduling at the Limited Irrigation Research Farm (LIRF), Greeley, Colorado," Agricultural Water Management, Elsevier, vol. 299(C).
10. Stöckle, Claudio O. & Liu, Mingliang & Kadam, Sunil A. & Evett, Steven R. & Marek, Gary W. & Colaizzi, Paul D., 2025. "Comparing evapotranspiration estimations using crop model-data fusion and satellite data-based models with lysimetric observations: Implications for irrigation scheduling," Agricultural Water Management, Elsevier, vol. 311(C).
11. Pereira, L.S. & Paredes, P. & Hunsaker, D.J. & López-Urrea, R. & Mohammadi Shad, Z., 2021. "Standard single and basal crop coefficients for field crops. Updates and advances to the FAO56 crop water requirements method," Agricultural Water Management, Elsevier, vol. 243(C).
12. Wang, Tianxin & Melton, Forrest S. & Pôças, Isabel & Johnson, Lee F. & Thao, Touyee & Post, Kirk & Cassel-Sharma, Florence, 2021. "Evaluation of crop coefficient and evapotranspiration data for sugar beets from landsat surface reflectances using micrometeorological measurements and weighing lysimetry," Agricultural Water Management, Elsevier, vol. 244(C).
13. Hao, Pengyu & Di, Liping & Guo, Liying, 2022. "Estimation of crop evapotranspiration from MODIS data by combining random forest and trapezoidal models," Agricultural Water Management, Elsevier, vol. 259(C).
14. Ramos, Tiago B. & Darouich, Hanaa & Oliveira, Ana R. & Farzamian, Mohammad & Monteiro, Tomás & Castanheira, Nádia & Paz, Ana & Gonçalves, Maria C. & Pereira, Luís S., 2023. "Water use and soil water balance of Mediterranean tree crops assessed with the SIMDualKc model in orchards of southern Portugal," Agricultural Water Management, Elsevier, vol. 279(C).
15. Rallo, G. & Paço, T.A. & Paredes, P. & Puig-Sirera, À. & Massai, R. & Provenzano, G. & Pereira, L.S., 2021. "Updated single and dual crop coefficients for tree and vine fruit crops," Agricultural Water Management, Elsevier, vol. 250(C).
16. Zipper, Sam & Kastens, Jude & Foster, Timothy & Wilson, Blake B. & Melton, Forrest & Grinstead, Ashley & Deines, Jillian M. & Butler, James J. & Marston, Landon T., 2024. "Estimating irrigation water use from remotely sensed evapotranspiration data: Accuracy and uncertainties at field, water right, and regional scales," Agricultural Water Management, Elsevier, vol. 303(C).
17. Pereira, L.S. & Paredes, P. & Melton, F. & Johnson, L. & Mota, M. & Wang, T., 2021. "Prediction of crop coefficients from fraction of ground cover and height: Practical application to vegetable, field and fruit crops with focus on parameterization," Agricultural Water Management, Elsevier, vol. 252(C).
18. French, Andrew N. & Sanchez, Charles A. & Wirth, Troy & Scott, Andrew & Shields, John W. & Bautista, Eduardo & Saber, Mazin N. & Wisniewski, Elzbieta & Gohardoust, Mohammadreza R., 2023. "Remote sensing of evapotranspiration for irrigated crops at Yuma, Arizona, USA," Agricultural Water Management, Elsevier, vol. 290(C).
19. Pereira, L.S. & Paredes, P. & Jovanovic, N., 2020. "Soil water balance models for determining crop water and irrigation requirements and irrigation scheduling focusing on the FAO56 method and the dual Kc approach," Agricultural Water Management, Elsevier, vol. 241(C).
20. Ramos, Tiago B. & Oliveira, Ana R. & Darouich, Hanaa & Gonçalves, Maria C. & Martínez-Moreno, Francisco J. & Rodríguez, Mario Ramos & Vanderlinden, Karl & Farzamian, Mohammad, 2023. "Field-scale assessment of soil water dynamics using distributed modeling and electromagnetic conductivity imaging," Agricultural Water Management, Elsevier, vol. 288(C).
21. Pei Wang & Jingjing Ma & Juanjuan Ma & Haitao Sun & Qi Chen, 2021. "A Novel Approach for the Simulation of Reference Evapotranspiration and Its Partitioning," Agriculture, MDPI, vol. 11(5), pages 1-12, April.
22. Silva, Simão P. & Valín, M. Isabel & Mendes, Susana & Araujo-Paredes, Claúdio & Cancela, Javier J., 2024. "Water productivity in Vitis vinifera L. cv. Alvarinho using dual crop coefficient approach," Agricultural Water Management, Elsevier, vol. 303(C).
23. Zhang, Yu & Han, Wenting & Zhang, Huihui & Niu, Xiaotao & Shao, Guomin, 2023. "Evaluating maize evapotranspiration using high-resolution UAV-based imagery and FAO-56 dual crop coefficient approach," Agricultural Water Management, Elsevier, vol. 275(C).
24. Pereira, L.S. & Paredes, P. & López-Urrea, R. & Hunsaker, D.J. & Mota, M. & Mohammadi Shad, Z., 2021. "Standard single and basal crop coefficients for vegetable crops, an update of FAO56 crop water requirements approach," Agricultural Water Management, Elsevier, vol. 243(C).
25. Mashabatu, Munashe & Ntshidi, Zanele & Dzikiti, Sebinasi & Jovanovic, Nebojsa & Dube, Timothy & Taylor, Nicky J., 2023. "Deriving crop coefficients for evergreen and deciduous fruit orchards in South Africa using the fraction of vegetation cover and tree height data," Agricultural Water Management, Elsevier, vol. 286(C).
26. Rouault, Pierre & Courault, Dominique & Flamain, Fabrice & Pouget, Guillaume & Doussan, Claude & Lopez-Lozano, Raul & McCabe, Matthew & Debolini, Marta, 2024. "High-resolution satellite imagery to assess orchard characteristics impacting water use," Agricultural Water Management, Elsevier, vol. 295(C).