Integrating scale in remote sensing and GIS

✍ Scribed by Dale A. Quattrochi, Elizabeth Wentz, Nina Siu-Ngan Lam, Charles W. Emerson

Publisher: Routledge;CRC Press
Year: 2017
Tongue: English
Leaves: 426
Series: Remote Sensing Applications Series
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book is the most comprehensive documentation of the scientific and methodological advances that have taken place in integrating scale in remote sensing and GIS. It presents new developments in the overall concept of scale within the purview of the "science of scale" for multispatial, multitemporal, and multispectral data, including spatial modeling. It discusses future trends in the integration of remote sensing and GIS in relation to new Earth observation remote sensing platforms and instruments to be launched in the near future.

✦ Table of Contents

Content: Introduction. Fundamentals of Multiscaled Remote Sensing Data for GIS Integration. Scale and Remote Sensing and GIS Integration: A Revisit of the Issues. Remote Sensing: Advances in Sensors and Data. Integration of Multispatial, Multitemporal, and Multispectral Remote Sensing Data in GIS: Progress and Challenges. Theory, Methods, and Techniques for Multiscale Data Integration. Computational and Technological Issues. Implementation of Multiscale Approaches: Methods and Examples. Modeling Methods for GIS Integration of Multiscaled Remote Sensing Data. Multiscaled Data Fusion for GIS Integration. Uncertainty and Error Analysis in Remote Sensing Data Integration with GIS. Geographic Object-Based Image Analysis. Temporal Analysis for Remote Sensing/GIS Integration. Applications of Multiscaled Remote Sensing and GIS. Approaches to Land Use/Land Change with Multiscaled Remote Sensing Data. Multiscaled Remote Sensing Data for Analysis of Landscape Heterogeneity. Environmental Modeling with Multiscaled Data. Use of Hyperspectral Data Remote Sensing Data in GIS. Analysis of Multiscaled Thermal Remote Sensing Data. Multiscaled Remote Sensing Data and GIS for Modeling Land Surface Processes. GIS, Multiscaled Remote Sensing Data for Climate Change Analysis. Integration of GPS, GIS, and Multiscaled Remote Sensing Data. Real Time Data and GIS Integration Applications. Multiscaled Remote Sensing Data, GIS Integration, and the Future. Summary. Epilogue.

✦ Subjects

Geographic information systems.;Remote sensing.

📜 SIMILAR VOLUMES

Integrating Scale in Remote Sensing and

📁 Integrating Scale in Remote Sensing and GIS

✍ Dale A. Quattrochi, Elizabeth Wentz, Nina Siu-Ngan Lam, Charles W. Emerson (eds 📂 Library 📅 2017 🏛 Routledge;CRC Press 🌐 English

Integrating Scale in Remote Sensing and GIS serves as the most comprehensive documentation of the scientific and methodological advances that have taken place in integrating scale and remote sensing data. This work addresses the invariants of scale, the ability to change scale, m

Scale in Remote Sensing and GIS

📁 Scale in Remote Sensing and GIS

✍ Dale A. Quattrochi, Michael F. Goodchild 📂 Library 📅 1997 🏛 CRC Press 🌐 English

The recent emergence and widespread use of remote sensing and geographic information systems (GIS) has prompted new interest in scale as a key component of these and other geographic information technologies. Techniques for dealing explicitly with scale are now available in GIS, but, until

Scale in Remote Sensing and GIS (Mapping

📁 Scale in Remote Sensing and GIS (Mapping sciences)

✍ Dale A. Quattrochi, Michael F. Goodchild 📂 Library 📅 1997 🏛 CRC Press 🌐 English

The recent emergence and widespread use of remote sensing and geographic information systems (GIS) has prompted new interest in scale as a key component of these and other geographic information technologies. Techniques for dealing explicitly with scale are now available in GIS, but, until now, very

Remote Sensing And GIS Integration

📁 Remote Sensing And GIS Integration

📂 Library 🏛 McGraw-Hill 🌐 English

Integration of GIS and remote sensing

📁 Integration of GIS and remote sensing

✍ Mesev, Victor 📂 Library 📅 2007 🏛 Wiley 🌐 English

In an age of unprecedented proliferation of data from disparate sources the urgency is to create efficient methodologies that can optimise data combinations and at the same time solve increasingly complex application problems. Integration of GIS and Remote Sensing explores the tremendo

Uncertainty in Remote Sensing and GIS

📁 Uncertainty in Remote Sensing and GIS

✍ Giles M. Foody, Peter M. Atkinson 📂 Library 📅 2003 🏛 Wiley 🌐 English

Remote sensing and geographical information science (GIS) have advanced considerably in recent years. However, the potential of remote sensing and GIS within the environmental sciences is limited by uncertainty, especially in connection with the data sets and methods used. In many studies, the issue