ALBERT

Anmerkung: Contents: 1. Introduction. - (1) The purposes of the long-term plan report. - (2) The background and particulars of this report. - (3) Contents of this report. - 2.Changes in the Arctic environment to date and in the near future. - 3. History of Arctic environmental research. - 4. Abstracts of all themes. - (1) Elucidation of abrupt environmental change in the Arctic associated with the on-going global warming. - Theme 1: Arctic amplification of global warming. - Theme 2: Mechanisms and influence of sea ice decline. - Theme 3: Biogeochemical cycles and ecosystem changes. - Theme 4: Ice sheet, glaciers, permafrost, snowfall, snow cover and hydrological cycle. - Theme 5: Interactions between the Arctic and the entire earth. - Theme 6: Predicting future environmental conditions of the Arctic based on paleoenvironmental records. - Theme 7: Effects of the Arctic environment on human society. - (2) Elucidation of environmental change concerning biodiversity. - Theme 8: Effects on terrestrial ecosystems and biodiversity. - Theme 9: Influence on marine ecosystem and biodiversity. - (3) Broad and important subjects on the Arctic environment. - Theme 10: Geospace environment. - Theme 11: Interaction of surface environment change with solid earth. - Theme 12: Basic understanding on formation and transition process of permafrost. - (4) Development of methods enabling breakthroughs in environmental research. - Theme A: Sustainable seamless monitoring. - Theme B: Earth system-modeling for inter-disciplinary research. - Theme C: Data assimilation to connect monitoring and modeling. - 5. Improvement of research foundation. - Authors and reviewers.

Anmerkung: 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

Anmerkung: Dissertation, Gottfried Wilhelm Leibniz Universität Hannover, 2018 , Introduction 1.1 Synthetic Aperture Radar from Spaceborne Remote Sensing 1.2 Satellite-Based Monitoring of the Terrestrial Water Cycle 1.3 Remote Sensing of Water Storage in Central Asia 1.4 GFZ Activities in Central Asia and Study Areas in Kyrgyzstan 1.5 Research Objectives 1.6 Outline and Structure of the Thesis 2 Fundamentals of Synthetic Aperture Radar Remote Sensing 2.1 SAR Satellite Data 2.2 SAR Satellite Missions 2.3 Interferometric SAR 2.4 DInSAR Time Series with PSI 2.5 DInSAR Time Series with SBAS 2.6 Feature Tracking 3 State of the Art 3.1 Inter- and Intra-Annual Glacier Surface Velocities from SAR Data 3.2 Inter- and Intra-Annual Glacier Elevation Changes from SAR Data 3.3 Inter- and Intra-Annual Loading-Induced Crustal Deformations at Water Reservoirs from SAR Data 4 Quantification of Inylchek Glacier Surface Kinematics 4.1 Abstract 4.2 Introduction 4.3 Inylchek Glacier 4.4 Data and Methodology 4.4.1 TerraSAR-X Data Set 4.4.2 Feature Tracking 4.4.3 Decomposition to 3D Velocities 4.5 Results 4.6 Discussion 4.6.1 Error Estimation 4.6.2 Inter-Annual Kinematics of the Upper Southern Inylchek Glacier Branch .... 4.6.3 Lake Level Extent and GLOF 4.7 Conclusions 4.8 Acknowledgements 4.9 Author Contribution 5 Quantification of Inylchek Glacier Elevation Changes 5.1 Abstract 5.2 Introduction 5.3 Data 5.3.1 TanDEM X Data 5.3.2 External DEMs 5.3.3 Glacier Outlines of Inylchek 5.4 Methodology 5.4.1 Interferometric Processing of TanDEM-X Data 5.4.2 Alignment of the SRTM and TDX DEMs 5.4.3 Radar Penetration Correction 5.4.4 DEM Elevation Difference Calculation 5.4.5 Accuracy Assessment 5.5 Results and Discussion 5.5.1 Uncertainty of Measurements 5.5.2 DEM Alignment Quality 5.5.3 Inylchek Elevation Changes 5.6 Conclusions 5.7 Acknowledgements 5.8 Author Contribution 6 Quantification of Toktogul Water-Level-Induced Ground Deformations 6.1 Abstract 6.2 Introduction 6.3 Materials and Methods 6.3.1 Lake Altimetry 6.3.2 DInSAR processing of Envisat ASAR and Sentinel-1 Data 6.3.3 Atmospheric Correction 6.3.4 Deformation Decomposition of SentineH Data 6.3.5 Modelling of Elastic Surface Deformations 6.4 Results 6.4.1 Atmospheric Corrections 6.4.2 Ground Deformation 6.5 Discussion 6.5.1 Atmospheric Corrections 6.5.2 Ground Deformation 6.6 Conclusions 6.7 Acknowledgments 6.8 Author Contribution 7 Subsequent Work 7.1 Scope of the Chapter 7.2 GNSS-derived Inylchek Glacier Surface Kinematics 7.2.1 Abstract 7.2.2 Author Contribution 7.3 Monitoring of Lake Merzbacher's GLOF Event 7.3.1 Abstract 7.3.2 Author Contribution 7.4 Ongoing Work at GFZ Based on the Results of this Thesis 8 Summary and Outlook 8.1 Summary of Main Results 8.1.1 Methodological Aspects 8.1.2 Monitoring of Short-Time Changes 8.2 Outlook Bibliography