Work

A High-Resolution Data-Driven Monthly Aquaculture and Irrigation Water use Model in the Mississippi Alluvial Plain

Year: 2025

Type: conference-paper

Source: IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

DOI: 10.1109/igarss55030.2025.11243173

Authors: Sayantan Majumdar, Ryan G. Smith, Md Fahim Hasan

Institutions: Desert Research Institute, Colorado State University

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Clean water and sanitation, Zero hunger, Climate action

Open Access status: closed

Funder: U.S. Geological Survey

OpenAlex ID: W4416728457

FWCI:

Cites: 41

Cited by:

Related to: 10