Editorial for Special Issue "Remote Sensing Water Cycle: Theory, Sensors, Data, and Applications"
| dc.contributor.author | Wan, Wei | |
| dc.contributor.author | Xie, Hongjie | |
| dc.contributor.author | Hasan, Emad | |
| dc.contributor.author | Hong, Yang | |
| dc.date.accessioned | 2021-04-19T15:14:53Z | |
| dc.date.available | 2021-04-19T15:14:53Z | |
| dc.date.issued | 2019-05-22 | |
| dc.date.updated | 2021-04-19T15:14:54Z | |
| dc.description.abstract | Global water cycle dynamics involve the exchange of water and energy matter among the atmosphere, hydrosphere, geosphere, cryosphere, and biosphere. Remote sensing provides a unique advantage of observing and acquiring complex water cycle and hydrological state variables across a wide range of spatial and temporal scales. The recent advances in remote sensing technology and numerical hydrological models alleviate our ability to observe and predict the storage, fluxes, and movement of water in time and space. Remote sensing offers unprecedented opportunities to gain a better and comprehensive understanding and mapping of water distribution and variability, in response to climate change and human activities. Besides, remote sensing data enables global and regional hydrological applications, and water resources management, motivates new theories in mapping applications and offers new ways to predict and resolve global water resources conflicts. This Special Issue encompasses a number of contributions in satellite and airborne sensors applications in hydrology, including: mapping theories and applications, i.e., [1–3], new methods to better observe hydrological component, i.e., precipitation [4,5], precipitable water vapor (PWV) and vapor pressure deficit (VPD) [6–8], energy fluxes and evapotranspiration [9], and snowfall [10], and new methods to improve hydrological decision support system, i.e., [11]. The following section briefs the overall contributions in this Special Issue. | |
| dc.description.department | Earth and Planetary Sciences | |
| dc.identifier | doi: 10.3390/rs11101210 | |
| dc.identifier.citation | Remote Sensing 11 (10): 1210 (2019) | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12588/446 | |
| dc.rights | Attribution 4.0 United States | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.title | Editorial for Special Issue "Remote Sensing Water Cycle: Theory, Sensors, Data, and Applications" | |
| dc.type | Article |