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Remotely-Sensed Cities

populations and economic activity, particularly on a global scale. Remotely Sensed Cities helps to redress the balance with remote sensing books;

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Real-Time Auto Geotagging and Visualization of Remotely Sensed Data

location of the remotely sensed data in real time.;

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Advanced Environmental Monitoring with Remote Sensing Time Series Data and R

This book provides a step-by-step guide on how to use various publicly available remotely sensed time series data sources for environmental;

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Advanced Environmental Monitoring with Remote Sensing Time Series Data and R

This book provides a step-by-step guide on how to use various publicly available remotely sensed time series data sources for environmental;

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Computer Processing of Remotely-Sensed Images 5e

Computer Processing of Remotely-Sensed Images A thorough introduction to computer processing of remotely-sensed images, processing methods;

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Quantitative Remote Sensing of Land Surfaces

presents practical quantitative algorithms for estimating various land surface variables from remotely sensed observations. A concise review of the;

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Classification Methods for Remotely Sensed Data

Since the publishing of the first edition of Classification Methods for Remotely Sensed Data in 2001, the field of pattern recognition has;

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Remote Sensing for Ecology and Conservation

of remotely sensed data and analyses have tended to discourage scientists and managers from using this valuable resource. This text focuses on making;

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Neurocomputation in Remote Sensing Data Analysis

networks, as a new form of computational paradigm, seem well suited to many of the tasks involved in remotely sensed image analysis. This book;

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Remote Sensing and GIS Integration

remotely sensed data GIS is predominantly a data-handling technology, while remote sensing is a data retrieval and analysis technology. This;

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Remotely Sensed Data Characterization, Classification, and Accuracies

A volume in the Remote Sensing Handbook series, Remotely Sensed Data Characterization, Classification, and Accuracies documents the;

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Uncertainty Management in Remote Sensing of Climate Data

Great advances have been made in our understanding of the climate system over the past few decades, and remotely sensed data have played a;

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Assessing the Accuracy of Remotely Sensed Data

The past 10 years have brought amazing changes to the technologies used to turn remotely sensed data into maps. As a result, the principles;

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Assessing the Accuracy of Remotely Sensed Data

The past 10 years have brought amazing changes to the technologies used to turn remotely sensed data into maps. As a result, the principles;

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Remote Sensing of Urban and Suburban Areas

temporal requirements of remotely sensed data in relation to various urban phenomena; methods and techniques for analyzing and integrating remotely;

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Groundwater Recharge and Flow: Approaches and Challenges for Monitoring and Modeling Using Remotely Sensed Data

requires remotely sensed data and observations applied to groundwater models. Resolving the interaction of groundwater storage, flow, and recharge;

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Remote Sensing of Ice and Snow

oceanic processes. Current and potential applications of remotely sensed data are also stressed. At present, all-weather, day and night;

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Extreme Hydroclimatic Events and Multivariate Hazards in a Changing Environment

and models. The book provides a detailed overview of remotely sensed observations, current and future satellite missions useful for hydrologic;

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Landcover Classification and Topography

Landcover mapping is an important tool for natural resource managers. The incorporation of remotely sensed data to produce landcover maps;

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Agricultural Research Updates

of seed and root crop properties in organic farming; diagnostic methods for seed-transmitted viruses; remotely sensed detection and monitoring;

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Image Processing and Data Analysis with ERDAS IMAGINE (R)

Remotely sensed data, in the form of digital images captured from spaceborne and airborne platforms, provide a rich analytical and;

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Application of Space Technology with Fitting of Engineering Management for Pollution Monitoring

and 1970's. As a tool to improve environmental co-operation, remote sensing has great promise. Just as remotely sensed images raised awareness;

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Towards Future Technologies for Business Ecosystem Innovation

) covering future technologies and its enablers, smart cities, telemedicine, crowd computing, satellite, unmanned air vehicles , cooperative wireless;

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Measuring the Oceans from Space: The Principles and Methods of Satellite Oceanography

, including some of the global applications of the data. The variety of applications of remotely sensed data to ocean science has grown significantly;

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Spatial Modelling of the Terrestrial Environment

natural and human environmental sciences issues, focusing on the theory and application of modelling remotely sensed data within the context;

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Computer Processing Of Remotely-Sensed Images

remotely-sensed data can be used synergistically with other spatial data sets, including hydrogeological and archaeological applications, * New;

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Urban High-Resolution Remote Sensing

and algorithms focused on three very important roots of urban remote sensing: 3D urban modelling using different remotely sensed data, urban;

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