Remotely sensed data characterization, classification, and accuracies
A volume in the Remote Sensing Handbook series, Remotely Sensed Data Characterization, Classification, and Accuracies documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Land Resources Monitoring, Modeling, and...
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton :
Taylor & Francis
[2016]
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| Edición: | 1st edition |
| Colección: | Remote Sensing Handbook
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629593406719 |
Tabla de Contenidos:
- section 1. Satellites and sensors from different eras and their characteristics
- section 2. Fundamentals of remote sensing : evolution, state of the art, and future possibilities
- section 3. Remote sensing data normalization, harmonization, and intersensor calibration
- section 4. Vegetation index standardization and cross-calibration of data from multiple sensors
- section 5. Image processing methods and approaches
- section 6. Change detection
- section 7. Integrating geographic information systems (GIS) and remote sensing in spatial modeling framework for decision support
- section 8. Global navigation satellite systems (GNSS) remote sensing
- section 9. Crowdsourcing and remote sensing data
- section 10. Cloud computing and remote sensing
- section 11. Google earth for remote sensing
- section 12. Accuracies, errors, and uncertainties of remote sensing-derived products
- section 13. Space law and remote sensing
- section 14. Summary.
