Work

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

Year: 2020

Type: article

Source: Agricultural Water Management

DOI: 10.1016/j.agwat.2020.106197

Authors: L.S. Pereira, P. Paredes, F. Melton, L. Johnson, T. Wang, R. López-Urrea, J.J. Cancela, R.G. Allen

Institutions: University of Lisbon, Ames Research Center, California State University, Monterey Bay, NASA Earth Science, Instituto Tecnico Agronómico Provincial, Universidade de Santiago de Compostela, University of Idaho

Language: English

Topic: Irrigation Practices and Water Management

Subfield: Soil Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: bronze

Funders: National Aeronautics and Space Administration, European Commission, National Institute of Food and Agriculture, Agricultural Research Institute, California State University, Fundação para a Ciência e a Tecnologia

Awards: Sem título, LEAF - Linking Landscape, Environment, Agriculture and Food, G6849206165, G8309647323

OpenAlex ID: W3045144182

FWCI: 11.59

Cites: 121

Cited by: 153

Related to: 10