Improving crop-specific groundwater use estimation in the Mississippi Alluvial Plain: Implications for integrated remote sensing and machine learning approaches in data-scarce regions-Reference-Cited by-同舟云学术

Improving crop-specific groundwater use estimation in the Mississippi Alluvial Plain: Implications for integrated remote sensing and machine learning approaches in data-scarce regions

Published:2024-04 Issue: Volume:52 Page:101674
ISSN:2214-5818
Container-title:Journal of Hydrology: Regional Studies
language:en
Short-container-title:Journal of Hydrology: Regional Studies

Author:

Majumdar Sayantan,Smith Ryan G.,Hasan Md Fahim,Wilson Jordan L.,White Vincent E.,Bristow Emilia L.,Rigby J.R.,Kress Wade H.,Painter Jaime A.

Publisher

Elsevier BV

Reference151 articles.

1. Development of gridded surface meteorological data for ecological applications and modelling;Abatzoglou;Int. J. Climatol.,2013

2. TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015;Abatzoglou;Sci. Data,2018

3. Hydrology Publications (eLibrary): Groundwater Modeling Reports;ADWR,2018

4. Assessing the utility of remote sensing data to accurately estimate changes in groundwater storage;Ahamed;Sci. Total Environ.,2022

5. The Mississippi Alluvial Plain aquifers—An engine for economic activity: U.S. Geological Survey Fact Sheet 2019–3003 (p. 4);Alhassan,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Toward field-scale groundwater pumping and improved groundwater management using remote sensing and climate data;Agricultural Water Management;2024-09

2. Spatial and temporal forecasting of groundwater anomalies in complex aquifer undergoing climate and land use change;Journal of Hydrology;2024-08