G.A. Schultz / Edwin T. Engman (eds.)

Remote Sensing in Hydrology and Water Management

Ed. by G. A. Schultz and E. T. Engman

• Gebundenes Buch

Produktbeschreibung

Main description:
The book provides comprehensive information on possible applications of remote sensing data for hydrological monitoring and modeling as well as for water management decisions. It is intended to provide methods to support the readers in solving their own problems in hydrology and water management. Mathematical theory is provided only as far as it is necessary for understanding the underlying principles. The book is especially timely because of new programs and sensors that are or will be realized. ESA, NASA, NASDA as well as the Indian Space Agency and the Brazilian Space Agency have recently launched satellites or developed plans for new sensor systems that will be especially pertinent to hydrology and water management as are the new large-scale groundbased weather radar systems. New techniques will be presented whose structures will differ from conventional hydrological models due to the nature of remotely sensed data.

Table of contents:
From the contents: Overview and Basic Principles.- Physical Principles and Technical Aspects of Remote Sensing.- Processing Remotely Sensed Data: Hardware and Software Considerations.- Integration of Remotely Sensed Data into Geographical Information Systems.- Remote Sensing in Hydrological Modeling.- Precipitation.- Land-use and Catchment Characteristics.- Evaporation.- Soil Moisture.- Remote Sensing of Surface Water.- Snow and Ice.- Soil Erosion.- Water Quality.- Groundwater.- Introduction to and General Aspects of Water Management with the Aid of Remote Sensing.- Flood Forecasting and Control.- Irrigation and Drainage.- Computation of Hydrological Data for Design of Water Projects in Ungauged River Basins.- Detection of Land Cover Change Tendencies and their Effect on Water Management.- Future Perspectives.

Produktdetails

• Verlag: Springer, Berlin
• 2000.
• Seitenzahl: 483
• Englisch
• Gewicht: 824g
• ISBN-13: 9783540640752
• ISBN-10: 3540640754
• Artikelnr.: 08927217

Inhaltsangabe

Preface.- About the Editors.- Authors.- Section I: Overview and Basic Principles.- 1 Introduction.- 1.1 Introduction.- 1.2 Remote Sensing Defined.- 1.3 The Nature of Remote Sensing Data.- 1.4 Satellite Systems.- 1.4.1 Remote Sensing Platforms.- 1.4.2 Remote Sensing Sensors.- 1.4.3 Spatial Resolution.- 1.4.4 Temporal Resolution.- 1.5 Remote Sensing and Hydrology.- 1.6 Structure of the Book.- 2 Physical Principles and Technical Aspects of Remote Sensing.- 2.1 Introduction.- 2.2 The Electromagnetic Spectrum and Radiation Laws.- 2.3 Atmospheric Propagation.- 2.4 Reflection and Emission Characteristics of Natural Media.- 2.5 Sensor Principles.- 2.6 Summary of Current and Future Earth Observation Missions.- 3 Processing Remotely Sensed Data: Hardware and Software Considerations.- 3.1 Image Processing System Characteristics.- 3.1.1 The Central Processing Unit (CPU): Personal Computers, Workstations and Mainframes.- 3.1.2 Number of Analysts on a System and Mode of Operation.- 3.1.3 Serial versus Parallel Image Processing, Arithmetic Coprocessor, and Random Access Memory (RAM).- 3.1.4 Operating System and Software Compilers.- 3.1.5 Mass Storage.- 3.1.6 Screen Display Resolution.- 3.1.7 Screen Color Resolution.- 3.1.8 Image Scanning (Digitization) Considerations.- 3.2 Image Processing and GIS Software Requirement.- 3.2.1 Preprocessing.- 3.2.2 Display and Enhancement.- 3.2.3 Remote Sensing Information Extraction.- 3.2.4 Photogrammetric Information Extraction.- 3.2.5 Metadata and Image/Map Lineage Documentation.- 3.2.6 Image and Map Cartographic Composition.- 3.2.7 Geographic Information Systems (GIS).- 3.2.8 Utilities.- 3.3 Commercial and Publicly Available Digital Image Processing Systems.- 3.4 Summary.- 4 Integration of Remotely Sensed Data into Geographical Information Systems.- 4.1 Introduction.- 4.2 General Approach.- 4.2.1 Raster and Vector Data Structures.- 4.2.2 Current Approaches to the Integration.- 4.2.3 Errors Associated with Geographical Processing.- 4.3 Current Applications.- 4.3.1 Watershed Database Development.- 4.3.2 Integrated Use of Elevation Data.- 4.3.3 Land-use/Land-cover Change Detection.- 4.3.4 Modeling Watershed Runoff.- 4.3.5 Monitoring and Modeling of Water Quality.- 4.3.6 Soil Erosion Monitoring.- 4.4 Future Perspectives.- Section II: Remote Sensing Application to Hydrologic Monitoring and Modeling.- 5 Remote Sensing in Hydrological Modeling.- 5.1 Introduction.- 5.2 Remote Sensing in Operational Hydrologic Modeling.- 5.3 Remote Sensing in Coupled Water-Energy Balance Modeling.- 5.4 Remote Sensing Approach.- 5.4.1 Solar radiation.- 5.4.2 Do wnwelling longwave.- 5.4.3 Precipitation.- 5.4.4 Air Temperature.- 5.4.5 Surface Air Humidity.- 5.5 Modeling Example: The Red River Arkansas Basin.- 5.6 Future Directions.- Colour Plates of Chaps. 2 5.- 6 Precipitation 1ll.- 6.1 Introduction.- 6.2 General Approach.- 6.2.1 Ground-based radar.- 6.2.2 Use of visible and infrared satellite data.- 6.2.3 Use of passive microwave satellite data.- 6.2.4 Space-borne radar.- 6.3 Current Techniques.- 6.3.1 Single polarisation radar measurements of rainfall.- 6.3.2 Measurement of snowfall and hail.- 6.3.3 Multi-parameter radar.- 6.3.4 Satellite cloud indexing and life history methods of rainfall estimation.- 6.3.5 Bispectral techniques.- 6.3.6 Passive microwave estimates of rainfall from space.- 6.3.7 Sampling errors.- 6.4 The potential for improvement.- 6.4.1 Current performance levels.- 6.4.2 The future.- 7 Land-use and Catchment Characteristics.- 7.1 Introduction.- 7.2 Land cover Mapping with Remote Sensing.- 7.3 Vegetation Indices.- 7.3.1 Simple Vegetation Indices.- 7.3.2 Normalized Difference Vegetation Index (NDVI).- 7.3.3 Refined estimates.- 7.3.4 Multi-temporal Vegetation Index.- 7.4 Thematic Classification.- 7.4.1 Image Classification Methods.- 7.4.2 Maximum Likelihood Classification.- 7.4.3 Discussion.- 7.4.4 Probability estimation refinements.- 7.4.5 Segmentation.- 7.4.6 Case study in the Pantanal Area, Brazil.- 7.5 Radar.-