Common challenges in remote sensing and hydrological sciences
Published on by Nathalie Board in Technology
Hello Everyone lets discuss the common challenges in remote sensing and hydrological sciences. Also what can be done to overcome them??
Taxonomy
- Water
- GIS & Remote Sensing Technology
- GIS
- IT
- Hydrological Modelling
- GIS for network
- Flood prediction
- Surface Flow Analysis
- Hydrological Modelling
- Remote Sensing
- GIS Spatial Analysis
- IT
- GIS & Remote Sensing
4 Answers
-
Thank you @ karan @ virendra @ nidhi , I appreciate your comments .
-
The terrain , the season ,(the demand and supply), time for each survey, administrative pressure and the unaccountably plus other techno-commercial challenges are the problems felt in the field by those, managing and using remote-sensing.
-
Remote sensing and Hydrology.
Remote sensing and hydrology are two disciplines with vastly different interests and technologies. While remote sensing has a strong technological foundation, aiming at developing non-contact sensor and processing systems to gather reliable information about the Earth and other physical objects ,hydrology is more strongly science oriented aiming at describing the occurrence and behavior of water above, over and inside the Earth. One of the scientific issues that is often discussed in both disciplines is model complexity. Complex models that try to solve the problem by considering sub-processes in as much physical detail as possible are often regarded to be superior to more simple, phenological approaches. Yet, both in remote sensing and in hydrology one can make use of only a limited number of measurements for validating and driving the models. Therefore it is often not possible to falsify complex models, simply because different model structures and parameter sets may explain the observations equally well. This equifinality problem is well known in hydrology but probably not yet fully recognized in the field of remote sensing.
But RS is a great tool can be utilised for result oriented studies in hydrological projects.
-
I would start with Seasonality . Some good options to overcome, if not completely resolve: use of multiple sensors, RADAR for the wet season can be a good opt