Remote Sensing In Applications Of Geoinformation

Remote sensing, especially from satellites, is a source of invaluable data which can be used to generate synoptic information for virtually all parts of the Earth, including the atmosphere, land, and ocean. In the last few decades, such data have evolved as a basis for accurate information about the Earth, leading to a wealth of geoscientific analysis focusing on diverse applications. Geoinformation systems based on remote sensing are increasingly becoming an integral part of the current information and communication society. The integration of remote sensing and geoinformation essentially involves combining data provided from both, in a consistent and sensible manner. This process has been accelerated by technologically advanced tools and methods for remote sensing data access and integration, paving the way for scientific advances in a broadening range of remote sensing exploitations in applications of geoinformation. This volume hosts original research focusing on the exploitation of remote sensing in applications of geoinformation. The emphasis is on a wide range of applications, such as the mapping of soil nutrients, detection of plastic litter in oceans, urban microclimate, seafloor morphology, urban forest ecosystems, real estate appraisal, inundation mapping, and solar potential analysis.

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 tremendous potential that lies along the interface between GIS and remote sensing for activating interoperable databases and instigating information interchange. It concentrates on the rigorous and meticulous aspects of analytical data matching and thematic compatibility - the true roots of all branches of GIS/remote sensing applications. However closer harmonization is tempered by numerous technical and institutional issues, including scale incompatibility, measurement disparities, and the inescapable notion that data from GIS and remote sensing essentially represent diametrically opposing conceptual views of reality. The first part of the book defines and characterises GIS and remote sensing and presents the reader with an awareness of the many scale, taxonomical and analytical problems when attempting integration. The second part of the book moves on to demonstrate the benefits and costs of integration across a number of human and environmental applications. This book is an invaluable reference for students and professionals dealing not only with GIS and remote sensing, but also computer science, civil engineering, environmental science and urban planning within the academic, governmental and commercial/business sectors.

How to use remote sensing technology as geographic data is demonstrated, as is how remote sensing products are the perfect complement to GIS-based analysis in industries such as emergency response, meteorology, water resources, land use and urban planning.

Lessons learned in the last several years have given clear indications that the prediction and efficient monitoring of disasters is one of the critical factors in decision-making process. In this respect space-based technologies have the great potential of supplying information in near real time. Earth observation satellites have already demonstrated their flexibility in providing data to a wide range of applications: weather forecasting, person and vehicle tracking, alerting to disaster, forest fire and flood monitoring, oil spills, spread of desertification, monitoring of crop and forestry damages. This book focuses on a wider utilisation of remote sensing in disaster management. The discussed aspects comprise data access/delivery to the users, information extraction and analysis, management of data and its integration with other data sources (airborne and terrestrial imagery, GIS data, etc.), data standardization, organisational and legal aspects of sharing remote sensing information.

Following the successful publication of the 1st edition in 2009, the 2nd edition maintains its aim to provide an application-driven package of essential techniques in image processing and GIS, together with case studies for demonstration and guidance in remote sensing applications. The book therefore has a “3 in 1” structure which pinpoints the intersection between these three individual disciplines and successfully draws them together in a balanced and comprehensive manner. The book conveys in-depth knowledge of image processing and GIS techniques in an accessible and comprehensive manner, with clear explanations and conceptual illustrations used throughout to enhance student learning. The understanding of key concepts is always emphasised with minimal assumption of prior mathematical experience. The book is heavily based on the authors’ own research. Many of the author-designed image processing techniques are popular around the world. For instance, the SFIM technique has long been adopted by ASTRIUM for mass-production of their standard “Pan-sharpen” imagery data. The new edition also includes a completely new chapter on subpixel technology and new case studies, based on their recent research.

Case study of Bharatpur District, Rajasthan.

Remote Sensing Technology In India Started In The 1960S. Space Technology Was Developed During The 1970S And 1980S To Use Satellites And Sensors In The Areas Of Communication To Exploit Meteorological And Ground Resources. Like Some Other Developing Countries, India Could Bypass The Intermediate Technology Stage And Leapfrog Into The High Technology Area.India S First Satellite In Irs Series Was Irs-1A, Launched In March 1988 By A Russian Vostok Launch Vehicle. Our Space Technology Has Attained Momentum And Made Tremendous Achievements By Launching The Oceansat-1 For Ocean Resources Monitoring; Resourcesat-1 For Agricultural Applications; And Cartosat-1 With A High Resolution Panchromatic Camera For Cartographic Applications. In India, The Remote Sensing Technology Along With Geographic Information System (Gis) Is Widely Being Used For More Than Two Decades For Inventorying, Mapping And Monitoring Of Earth Resources, And For Mitigation And Management Of Natural Disasters. In Days To Come It Will Become The Most Powerful Tool For Management And Distribution Of Information For Various Purposes.This Book Is Solely Written To Meet The Requirements Of Undergraduate Courses In B.E. (Civil Engineering), B.Tech (Geoinformatics), The Postgraduate Courses And M.Tech In Remote Sensing, Postgraduate Diploma In Remote Sensing And Gis, And M.E (Geoinformatics) Of Various Universities And Institutions. Topics Are Covered With Adequate Tables And Illustrations Essential To An Introductory Text. The Book Offers Key Concepts With The Use Of Simple And Limited Mathematics. Digital Image Processing, Which Forms The Backbone Of The Book, Is Dealt With Special Care. The Book Explains Fundamental Basis Of Gis Technology, Spatial Data Modeling, Attributes Data Management, Gis Data Analysis And Modeling. It Will Also Serve As An Ideal Reference Book For Researchers In This Field And Practical Users Of This Technology.

This new book explores the rapidly expanding applications of spatial analysis, GIS and remote sensing in the health sciences, and medical geography.