Spatiotemporal predictions of soil properties and states in variably saturated landscapes-Reference-Cited by-同舟云学术

Spatiotemporal predictions of soil properties and states in variably saturated landscapes

Published:2017-07 Issue:7 Volume:122 Page:1576-1596
ISSN:2169-8953
Container-title:Journal of Geophysical Research: Biogeosciences
language:en
Short-container-title:J. Geophys. Res. Biogeosci.

Author:

Franz Trenton E.¹^ORCID,Loecke Terrance D.²,Burgin Amy J.³,Zhou Yuzhen⁴,Le Tri⁴,Moscicki David¹

Affiliation:

1. School of Natural Resources University of Nebraska–Lincoln Lincoln Nebraska USA

2. Kansas Biological Survey and Environmental Studies Program University of Kansas Lawrence Kansas USA

3. Kansas Biological Survey, Environmental Studies Program and Department of Ecology and Evolutionary Biology University of Kansas Lawrence Kansas USA

4. Department of Statistics University of Nebraska–Lincoln Lincoln Nebraska USA

Funder

National Science Foundation

National Institute of Food and Agriculture

Publisher

American Geophysical Union (AGU)

Subject

Paleontology,Atmospheric Science,Soil Science,Water Science and Technology,Ecology,Aquatic Science,Forestry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2017JG003837

Reference39 articles.

1. Geophysical imaging of watershed subsurface patterns and prediction of soil texture and water holding capacity

2. The emergence of hydrogeophysics for improved understanding of subsurface processes over multiple scales

3. Soil physics meets soil biology: Towards better mechanistic prediction of greenhouse gas emissions from soil

Cited by 11 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. Portable gamma spectrometry for rapid assessment of soil texture, organic carbon and total nitrogen in agricultural soils;Journal of Soils and Sediments;2023-03-18

2. Feasibility assessment on use of proximal geophysical sensors to support precision management;Vadose Zone Journal;2022-09-03

3. Dimension reduction techniques: Current status and perspectives;Materials Today: Proceedings;2022

4. Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning;Remote Sensing of Environment;2021-07

5. The role of topography, soil, and remotely sensed vegetation condition towards predicting crop yield;Field Crops Research;2020-07