Data-driven methods for characterizing temporal variation in agricultural water use
Abstract/Contents
- Abstract
- Satellite remote sensing provides a consistent way to monitor water use over large agricultural regions with field-scale resolution. Maximizing the value of this data, for both water managers and water users, requires methods for identifying temporal variation in irrigation practices and evapotranspiration (ET) more generally. Chapter 1 provides motivation and context for the problem of ET estimation for monitoring agricultural water use. Chapter 2 analyzes sources of ET estimation error introduced by meteorological and land surface data inputs, evaluated at three winegrape vineyards in California. Chapter 3 presents a method for identifying the point-in-time irrigation status of a field without labeled training data or ancillary weather or geophysical data inputs. Chapter 4 presents a method for characterizing stages of crop development using multivariate satellite inputs, applies it to the problem of crop planting date estimation, and also uses the method to illustrate structural properties of intra-annual environmental time series. Together these projects advance the theory and practice of quantifying agricultural water use with satellite remote sensing.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2023; ©2023 |
| Publication date | 2023; 2023 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Doherty, Conor T |
|---|---|
| Degree supervisor | Mauter, Meagan |
| Thesis advisor | Mauter, Meagan |
| Thesis advisor | Kitanidis, P. K. (Peter K.) |
| Thesis advisor | Konings, Alexandra |
| Degree committee member | Kitanidis, P. K. (Peter K.) |
| Degree committee member | Konings, Alexandra |
| Associated with | Stanford University, School of Engineering |
| Associated with | Stanford University, Civil & Environmental Engineering Department |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Conor T. Doherty. |
|---|---|
| Note | Submitted to the Civil & Environmental Engineering Department. |
| Thesis | Thesis Ph.D. Stanford University 2023. |
| Location | https://purl.stanford.edu/hh958cs0866 |
Access conditions
- Copyright
- © 2023 by Conor Doherty
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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