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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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Mediterranean Vegetation Monitoring by Remotely Sensed Data

provide useful hints and advise on the use of satellite data for vegetation monitoring in Mediterranean areas.;

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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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Use of the Normalized Difference Vegetation Index NDVI to Assess Land Degradat

This report examines the scientific basis for the use of remotely sensed data, particularly Normalized Difference Vegetation Index (NDVI;

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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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Computer Processing of Remotely-Sensed Images 5e

provides students with methods of computer processing of remotely sensed data and introduces them to environmental applications which make use;

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Quantitative Remote Sensing of Land Surfaces

Processing the vast amounts of data on the Earth's land surface environment generated by NASA's and other international satellite programs;

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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 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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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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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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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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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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Neurocomputation in Remote Sensing Data Analysis

sensed satellite data. Remote sensing has now become a discipline in which ever increasing volumes of data, gathered from space together with;

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Multitemporal Remote Sensing

and analysis of multitemporal remotely sensed images. These methods and techniques include change detection, multitemporal data fusion, coarse;

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Land Use Land Cover Changes (GIS and Remote Sensing Based Study)

System and Remote Sensing are now providing data for advanced ecosystem management. The collection of remotely sensed data facilitates the;

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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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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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Advances in Water Science Methodologies

requirements for the spatial, temporal and spectral resolutions of remotely sensed data. To reflect this diversity of needs, this book considers a;

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Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection

heritage; and on-site and remotely sensed data collection.;

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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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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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Space Technologies for the Benefit of Human Society and Earth

;therearenowsomecrucialen- ronmental uses of Space technologies in the areas of natural resources management and environmental monitoring. Remotely sensed data;

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U.S. Geological Survey Roadmap for Unmanned Aircraft Systems

of the land in the United States. This responsibility requires acquisition of remotely sensed data throughout vast lands, including areas that;

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Global Forest Monitoring from Earth Observation

systems for monitoring forest ecosystems, discussing why and how researchers currently use remotely sensed data to study forest cover and loss;

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