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A vision for an international multi-sensor snow observing mission
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Kim, Edward |
| Copyright Year | 2015 |
| Description | Discussions within the international snow remote sensing community over the past two years have led to encouraging consensus regarding the broad outlines of a dedicated snow observing mission. The primary consensus - that since no single sensor type is satisfactory across all snow types and across all confounding factors, a multi-sensor approach is required - naturally leads to questions about the exact mix of sensors, required accuracies, and so on. In short, the natural next step is to collect such multi-sensor snow observations (with detailed ground truth) to enable trade studies of various possible mission concepts. Such trade studies must assess the strengths and limitations of heritage as well as newer measurement techniques with an eye toward natural sensitivity to desired parameters such as snow depth and/or snow water equivalent (SWE) in spite of confounding factors like clouds, lack of solar illumination, forest cover, and topography, measurement accuracy, temporal and spatial coverage, technological maturity, and cost. |
| File Size | 23270 |
| Page Count | 3 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20150023290 |
| Archival Resource Key | ark:/13960/t21c70d9t |
| Language | English |
| Publisher Date | 2015-07-26 |
| Access Restriction | Open |
| Subject Keyword | Snow Satellite Instruments Imaging Spectrometers Water Forests Costs Meteorological Satellites Microwave Sensors Ground Truth Multisensor Applications Remote Sensing Depth Accuracy International Cooperation Clouds Meteorology Mission Planning Laser Altimeters Optical Radar Optical Measuring Instruments Photogrammetry Ntrs Nasa Technical Reports ServerĀ (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |