Assessing Differences in Groundwater Hydrology Dynamics Between In Situ Measurements and GRACE-Derived Estimates via Machine Learning: A Test Case of Consequences for Agroecological Relationships Within the Yazoo–Mississippi Delta (USA)

In situ groundwater monitoring is critical for irrigated agroecosystems and informs land cover changes. Yet, such data can pose management challenges and confound agroecological relationships. Correspondingly, satellite-based approaches, including the GRACE-constellation, are increasing. Although in...

Descrición completa

Detalles Bibliográficos

Principais autores:	Lucas J. Heintzman, Zahra Ghaffari, Abdel R. Awawdeh, Damien E. Barrett, Lance D. Yarbrough, Greg Easson, Matthew T. Moore, Martin A. Locke, Hakan I. Yasarer
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2024-11-01
Series:	Hydrology
Assuntos:	irrigation landscape change artificial intelligence GRACE mascon
Acceso en liña:	https://www.mdpi.com/2306-5338/11/11/186
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!