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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Houborg, R. Anderson, M. Gao, F. Schull, M. Cammalleri, C. |
| Copyright Year | 2012 |
| Description | Author affiliation: USDA-ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD, USA (Anderson, M.; Gao, F.; Schull, M.; Cammalleri, C.) || European Commision, Joint Research Centre, Ispra, Italy (Houborg, R.) |
| Abstract | Remotely sensed observations in the visible to the shortwave infrared (VSWIR) and thermal infrared (TIR) regions of the electromagnetic spectrum can be used synergistically to provide valuable products of land surface properties for reliable assessments of carbon and water fluxes. The high spatial, spectral and temporal resolution VSWIR and TIR observations provided by the proposed Hyperspectral - InfraRed (HyspIRI) mission will enable a new era of global agricultural monitoring, critical for addressing growing issues of food insecurity. To enable predictions at fine spatial resolution (<100m), modeling efforts must rely on a combination of high-frequency temporal and highresolution spatial information. In this study, spatialtemporal sampling frequency is improved by employing a multi-scale and multi-sensor data fusion approach, integrating spatial detail from Landsat (30m/16 day) with the high temporal frequency of MODIS (1km/daily). |
| Starting Page | 7302 |
| Ending Page | 7305 |
| File Size | 1086313 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467311601 |
| ISSN | 21536996 |
| e-ISBN | 9781467311595 |
| e-ISBN | 9781467311588 |
| DOI | 10.1109/IGARSS.2012.6351975 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-07-22 |
| Publisher Place | Germany |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Remote sensing Satellites Earth Carbon MODIS Land surface Spatial resolution carbon flux Thermal infrared reflective shortwave data fusion energy fluxes |
| Content Type | Text |
| Resource Type | Article |
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