Remote Sensing Handbook, Volume I
portes grátis
Remote Sensing Handbook, Volume I
Sensors, Data Normalization, Harmonization, Cloud Computing, and Accuracies
Thenkabail, Prasad S.
Taylor & Francis Ltd
11/2024
582
Dura
9781032890951
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Part I: Earth Observing Satellites and Sensors from Different Eras and their Characteristics. 1. Remote Sensing Satellites and Sensors: Optical, Radar, LiDAR, Microwave, Hyperspectral, and UAVs. Part II: Global Navigation Satellite Systems (GNSS) and their Characteristics 2. Global Navigation Satellite Systems Theory and Practice: Evolution, State of Art, and Future Pathways. 3. Global Navigation Satellite System Reflectometry for Ocean and Land Applications. 4. Global Navigation Satellite Systems (GNSS) for a Wide Array of Terrestrial Applications. Part III: Fundamentals of Remote Sensing: Evolution, State-of-Art, and Future Possibilities. 5. Fundamentals of Remote Sensing for Terrestrial Applications: Evolution, Current State of Art, and Future Possibilities. Part IV: Data Normalization, Harmonization, and Inter-Sensor Calibration. 6. Overview of Satellite Image Radiometry in the Solar-Reflective Optical Domain. 7. Post-Launch Radiometric Calibration of Satellite-Based Optical Sensors with Emphasis on Terrestrial Reference Standard Sites. 8. Remote Sensing Data Normalization. 9. Satellite Data Degradations and their Impacts on High Level Products. Part V: Vegetation Index Standardization and Cross Calibration of Data from Multiple Sensors. 10. Inter- and Intra-sensor Spectral Compatibility and Calibration of the Enhanced Vegetation Indices. 11. Towards Standardisation of Vegetation Indices. Part VI: Crowdsourcing of Remote Sensing Data. 12. Crowdsourcing and Remote Sensing: Combining Two Views of the Earth. Part VII: Cloud Computing and Remote Sensing. 13. Processing Remote Sensing Data in Cloud Computing Environments. 14. Cloud Computing in Remote Sensing: A Comprehensive Assessment of State of Arts. Part VIII: Google Earth for Remote Sensing. 15. The Legacy of Google Earth in Remote Sensing. Part IX: Accuracies, Errors, and Uncertainties of Remote Sensing Derived Products. 16. Assessing Positional and Thematic Accuracies of Maps Generated from Remotely Sensed Data. Part X: Remote Sensing Law. 17. Remote Sensing Law: An Overview of its Development and its Trajectory in the Global Context. Part XI: Summary and Synthesis of Volume I. 18. Remote Sensing Handbook, Volume I: Sensors, Data Normalization, Harmonization, Cloud Computing, and Accuracies.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Satellite, Global Navigation Satellite Systems, Big Data, Calibration;Optical, Radar, Lidar, Microwave, Hyperspectral, UAV;Crowdsourcing, Cloud Computing;Google Earth, Geospatial Data, Geoprocessing, Data Mining;Vegetation, Agriculture, Water Security, Food Security;Droughts, Disasters, Floods, Natural Resources
Part I: Earth Observing Satellites and Sensors from Different Eras and their Characteristics. 1. Remote Sensing Satellites and Sensors: Optical, Radar, LiDAR, Microwave, Hyperspectral, and UAVs. Part II: Global Navigation Satellite Systems (GNSS) and their Characteristics 2. Global Navigation Satellite Systems Theory and Practice: Evolution, State of Art, and Future Pathways. 3. Global Navigation Satellite System Reflectometry for Ocean and Land Applications. 4. Global Navigation Satellite Systems (GNSS) for a Wide Array of Terrestrial Applications. Part III: Fundamentals of Remote Sensing: Evolution, State-of-Art, and Future Possibilities. 5. Fundamentals of Remote Sensing for Terrestrial Applications: Evolution, Current State of Art, and Future Possibilities. Part IV: Data Normalization, Harmonization, and Inter-Sensor Calibration. 6. Overview of Satellite Image Radiometry in the Solar-Reflective Optical Domain. 7. Post-Launch Radiometric Calibration of Satellite-Based Optical Sensors with Emphasis on Terrestrial Reference Standard Sites. 8. Remote Sensing Data Normalization. 9. Satellite Data Degradations and their Impacts on High Level Products. Part V: Vegetation Index Standardization and Cross Calibration of Data from Multiple Sensors. 10. Inter- and Intra-sensor Spectral Compatibility and Calibration of the Enhanced Vegetation Indices. 11. Towards Standardisation of Vegetation Indices. Part VI: Crowdsourcing of Remote Sensing Data. 12. Crowdsourcing and Remote Sensing: Combining Two Views of the Earth. Part VII: Cloud Computing and Remote Sensing. 13. Processing Remote Sensing Data in Cloud Computing Environments. 14. Cloud Computing in Remote Sensing: A Comprehensive Assessment of State of Arts. Part VIII: Google Earth for Remote Sensing. 15. The Legacy of Google Earth in Remote Sensing. Part IX: Accuracies, Errors, and Uncertainties of Remote Sensing Derived Products. 16. Assessing Positional and Thematic Accuracies of Maps Generated from Remotely Sensed Data. Part X: Remote Sensing Law. 17. Remote Sensing Law: An Overview of its Development and its Trajectory in the Global Context. Part XI: Summary and Synthesis of Volume I. 18. Remote Sensing Handbook, Volume I: Sensors, Data Normalization, Harmonization, Cloud Computing, and Accuracies.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Satellite, Global Navigation Satellite Systems, Big Data, Calibration;Optical, Radar, Lidar, Microwave, Hyperspectral, UAV;Crowdsourcing, Cloud Computing;Google Earth, Geospatial Data, Geoprocessing, Data Mining;Vegetation, Agriculture, Water Security, Food Security;Droughts, Disasters, Floods, Natural Resources