Abstract
A confluence of scientific and technological developments in soil moisture sensing, satellite imagery and spatial statistics now provide the opportunity to predict soil moisture as it varies in space and time. This work presents initial results in the development of a methodology to predict (in near real-time) soil moisture at a spatial resolution of 100m on a daily time step using a combination of insitu measurements of soil moisture, spatial statistics and remote sensing products which parameterise components of the soil water balance equation; soil moisture = precipitation + irrigation - evapotranspiration - deep drainage - runoff.
| Original language | English |
|---|---|
| Title of host publication | 36th Hydrology and Water Resources Symposium: The art and science of water |
| Place of Publication | Barton, ACT |
| Publisher | Engineers Australia |
| Pages | 1465-1471 |
| Number of pages | 7 |
| ISBN (Print) | 9781922107497 |
| Publication status | Published - 2015 |
| Event | 36th Hydrology and Water Resources Symposium: HWRS 2015 - Hotel Grand Chancellor, Hobart, Australia Duration: 07 Dec 2015 → 10 Dec 2015 https://web.archive.org/web/20151011034315/http://hwrs2015.com.au/ (Conference website) |
Conference
| Conference | 36th Hydrology and Water Resources Symposium |
|---|---|
| Abbreviated title | The art and science of water |
| Country/Territory | Australia |
| City | Hobart |
| Period | 07/12/15 → 10/12/15 |
| Internet address |
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