Field Measurements for Environmental Remote Sensing: Instrumentation, Intensive Campaigns, and Satellite Applications is an academic synthesis of invaluable in situ measurements and techniques leveraged by the science of environmental remote sensing. Sections cover in situ datasets and observing methods used for satellite remote sending applications and validation, synthesizing the various techniques utilized by well-established application areas under a common paradigm. The book serves as both a textbook for students (upper-level undergraduate to graduate level) and a reference book for practitioners and researchers in the atmospheric, oceanic and remote sensing fields.
Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.
Table of Contents
1. Introduction: Field Measurements and Remote Sensing
Part I: Instrumentation 2. Balloon-Borne Radiosondes 3. Frost Point Hygrometers 4. Ozonesondes 5. Oceanographic buoys: providing ocean data to assess the accuracy of variables derived from satellite measurements 6. Surface-Based Thermal Infrared Spectrometers 7. Sun photometers 8. AirCore
Part II: Intensive Campaigns 9. High-Altitude Aircraft Radiometric Calibration-Validation Campaigns 10. Aircraft Dropsonde Campaigns 11. Ship-Based Cal/Val Campaigns 12. Land-Based Cal/Val Campaigns 13. Aircraft Vertical Profile Measurements for Evaluation of Satellite Retrievals of Long-Lived Trace Gases 14. Campaign Situational Awareness from Satellite Data
Part III: Satellite Applications 15. On-Orbit VIIRS Sensor Calibration and Validation in Reflective Solar Bands (RSB) 16. NOAA Products Validation System (NPROVS) 17. Satellite Microwave Sounder Product Retrieval Validation 18. Considerations for Satellite Infrared Sounder Applications 19. Sea Surface Temperature Validation and Blended Analysis 20. Satellite Ocean Color Validation 21. Land Surface Temperature Validation 22. Heterogeneity of Smoke from Fires: Evaluation of VIIRS Smoke Detection Using FIREX-AQ Field Campaign Data 23. Downburst Monitoring and Prediction Studies
