ALBERT

Note: Table of Contents: List of contributors. - Cryosphere Science: Series Preface. - Preface. - Acknowledgments. - About the companion website. - 1 Remote sensing and the cryosphere. - 1.1 Introduction. - 1.2 Remote sensing. - 1.2.1 The electromagnetic spectrum and blackbody radiation. - 1.2.2 Passive systems. - 1.2.3 Active systems. - 1.3 The cryosphere. - References. - 2 Electromagnetic properties of components of the cryosphere. - 2.1 Electromagnetic properties of snow. - 2.1.1 Visible/near-infrared and thermal infrared. - 2.1.2 Microwave region. - 2.2 Electromagnetic properties of sea ice. - 2.2.1 Visible/near-infrared and thermal infrared. - 2.2.2 Microwave region. - 2.3 Electromagnetic properties of freshwater ice. - 2.4 Electromagnetic properties of glaciers and ice sheets. - 2.4.1 Visible/near-infrared and thermal infrared. - 2.4.2 Microwave region. - 2.5 Electromagnetic properties of frozen soil. - 2.5.1 Visible/near-infrared and thermal infrared. - 2.5.2 Microwave region. - References. - Acronyms. - Websites cited. - 3 Remote sensing of snow extent. - 3.1 lntroduction. - 3.2 Visible/near-infrared snow products. - 3.2.1 The normalized difference snow index (NDSI). - 3.3 Passive microwave products. - 3.4 Blended VNIR/PM products. - 3.5 Satellite snow extent as input to hydrological models. - 3.6 Concluding remarks. - Acknowledgments. - References. - Acronyms. - Websites cited. - 4 Remote sensing of snow albedo, grain size, and pollution from space. - 4.1 Introduction. - 4.2 Forward modeling. - 4.3 Local optical properties of a snow layer. - 4.4 Inverse problem. - 4.5 Pitfalls of retrievals. - 4.6 Conclusions. - Acknowledgments. - References. - Acronyms. - Websites cited. - 5 Remote sensing of snow depth and snow water equivalent. - 5.1 Introduction. - 5.2 Photogrammetry. - 5.3 LiDAR. - 5.4 Gamma radiation. - 5.5 Gravity data. - 5.6 Passive microwave data. - 5.7 Active microwave data. - 5.8 Conclusions. - References. - Acronyms. - Websites cited. - 6 Remote sensing of melting snow and ice. - 6.1 Introduction. - 6.2 General considerations on optical/thermal and microwave sensors and techniques for remote sensing of melting. - 6.2.1 Optical and thermal sensors. - 6.2.2 Microwave sensors. - 6.2.3 Electromagnetic properties of dry and wet snow. - 6.3 Remote sensing of melting over land. - 6.4 Remote sensing of melting over Greenland. - 6.4.1 Thermal infrared sensors. - 6.4.2 Microwave sensors. - 6.5 Remote sensing of melting over Antarctica. - 6.6 Conclusions. - References. - Acronyms. - 7 Remote sensing of glaciers. - 7.1 Introduction. - 7.2 Fundamentals. - 7.3 Satellite instruments for glacier research. - 7.4 Methods. - 7.4.1 Image classification for glacier mapping. - 7.4.2 Mapping debris-covered glaciers. - 7.4.3 Glacier mapping with SAR data. - 7.4.4 Assessing glacier changes. - 7.4.5 Area and length changes. - 7.4.6 Volumetrie glacier changes. - 7.4.7 Glacier velocity. - 7.5 Glaciers of the Greenland ice sheet. - 7.5.1 Surface elevation. - 7.5.2 Glacier extent. - 7.5.3 Glacier dynamics. - 7.6 Summary. - References. - Acronyms. - Websites cited. - 8 Remote sensing of accumulation over the Greenland and Antarctic ice sheets. - 8.1 Introduction to accumulation. - 8.2 Spaceborne methods for determining accumulation over ice sheets. - 8.2.1 Microwave remote sensing. - 8.2.2 Other remote sensing techniques and combined methods. - 8.3 Airborne and ground-based measurements of accumulation. - 8.3.1 Ground-based. - 8.3.2 Airborne. - 8.4 Modeling of accumulation. - 8.5 The future for remote sensing of accumulation. - 8.6 Conclusions. - References. - Acronyms. - Website cited. - 9 Remote sensing of ice thickness and surface velocity. - 9.1 Introduction. - 9.1.1 Electrical properties of glacial ice. - 9.2 Radar principles. - 9.2.1 Radar sounder. - 9.2.2 Radar equation. - 9.3 Pulse compression. - 9.4 Antennas. - 9.5 Example results. - 9.6 SAR and array processing. - 9.7 SAR Interferometry. - 9. 7.1 Introduction. - 9.7.2 Basic theory. - 9.7.3 Practical considerations of InSAR systems. - 9.7.4 Application of InSAR to Cryosphere remote sensing. - 9.8 Conclusions. - References. - Acronyms. - 10 Gravimetry measurements from space. - 10.1 Introduction. - 10.2 Observing the Earth's gravity field with inter-satellite ranging. - 10.3 Surface mass variability from GRACE. - 10.4 Results. - 10.5 Conclusions. - References. - Acronyms. - 11 Remote sensing of sea ice. - 11.1 Introduction. - 11.2 Sea ice concentration and extent. - 11.2.1 Passive microwave radiometers. - 11.2.2 Active microwave - scatterometry and radar. - 11.2.3 Visible and infrared. - 11.2.4 Operational sea ice analyses. - 11.3 Sea ice drift. - 11.4 Sea ice thickness and age, and snow depth. - 11.4.1 Altimetric thickness estimates. - 11.4.2 Radiometric thickness estimates. - 11.4.3 Sea ice age estimates as a proxy for ice thickness. - 11.5 Sea ice melt onset and freeze-up, albedo, melt pond fraction and surface temperature. - 11.5.1 Melt onset and freeze-up. - 11.5.2 Sea ice albedo and melt pond fraction. - 11.5.3 Sea ice surface temperature. - 11.6 Summary, challenges and the road ahead. - References. - Acronyms. - Website cited. - 12 Remote sensing of lake and river ice. - 12.1 Introduction. - 12.2 Remote sensing of lake ice. - 12.2.1 Ice concentration, extent and phenology. - 12.2.2 Ice types. - 12.2.3 Ice thickness and snow on ice. - 12.2.4 Snow/ice surface temperature. - 12.2.5 Floating and grounded ice: the special case of shallow Arctic/sub-Arctic lakes. - 12.3 Remote sensing of river ice. - 12.3.1 Ice extent and phenology. - 12.3.2 lce types, ice jams and flooded areas. - 12.3.3 Ice thickness. - 12.3.4 Surface flow velocities. - 12.3.5 Incorporating SAR-derived ice information into a GIS-based system in support of river-flow modeling and flood forecasting. - 12.4 Conclusions and outlook. - Acknowledgments. - References. - Acronyms. - Websites cited. - 13 Remote sensing of permafrost and frozen ground. - 13.1 Permafrost - an essential climate variable of the "Global Climate Observing System". - 13.2 Mountain permafrost. - 13.2.1 Remote sensing of surface features and permafrost landforms. - 13.2.2 Generation of digital elevation models. - 13.2.3 Terrain elevation change and displacement. - 13.3 Lowland permafrost - identification and mapping of surface features. - 13.3.1 Land cover and vegetation. - 13.3.2 Permafrost landforms. - 13.3.3 Landforms and processes indicating permafrost degradation. - 13.4 Lowland permafrost - remote sensing of physical variables related to the thermal permafrost state. - 13.4.1 Land surface temperature through thermal remote sensing. - 13.4.2 Freeze-thaw state of the surface soil through microwave remote sensing. - 13.4.3 Permafrost mapping with airborne electromagnetic surveys. - 13.4.4 Regional surface deformation through radar interferometry. - 13.4.5 A gravimetric signal of permafrost thaw?. - 13.5 Outlook - remote sensing data and permafrost models. - References. - Acronyms. - 14 Field measurements for remote sensing of the cryosphere. - 14.1 Introduction. - 14.2 Physical properties of interest. - 14.2.1 Surface properties. - 14.2.2 Sub-surface properties. - 14.3 Standard techniques for direct measurements of physical properties. - 14.3.1 Topography. - 14.3.2 Snow depth. - 14.3.3 Snow water equivalent and density. - 14.3.4 Temperature. - 14.3.5 Stratigraphy. - 14.3.6 Sea ice depth and ice thickness. - 14.4 New techniques for high spatial resolution measurements. - 14.4.1 Topography. - 14.4.2 Surface properties. - 14.4.3 Sub-surface properties. - 14.5 Simulating airborne and spaceborne observations from the ground. - 14.5.1 Active microwave. - 14.5.2 Passive microwave. - 14.6 Sampling strategies for remote sensing field campaigns: concepts and examples. - 14.6.1 Ice sheet campaigns. - 14.6.2 Seasonal snow campaigns. - 14.6.3 Sea ice campaigns. - 14.7 Conclusions. - References. - Acronyms. - Websites cited. - 15 Remote sensing missions and the cryosphere. - 15.1 In