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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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Cloud Computing in Remote Sensing

performance remote sensing data processing Covers distributed remote sensing products analysis;

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Re-envisioning Remote Sensing Applications

Provide the applications of remote sensing in all fields through varied case studies and spatial data analysis Includes soil and land;

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Analysis Of Multi-temporal Remote Sensing Images - Proceedings Of The First International Workshop On Multitemp 2001

-temporal remote sensing data and advanced analysis methodologies results in the possibility of solving complex problems related to the monitoring;

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Environmental Remote Sensing and Systems Analysis

Remote sensing is the technique of gathering data and information about an object or phenomenon without making direct contact with the;

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Remote Sensing and GIS

microwave remote sensing, global navigation satellite systems (such as GPS and IRNSS), digital photogrammetry, visual image analysis, digital image;

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Global Positioning & Remote Sensing

; Hydrogeomorphological Mapping for Groundwater Prospects Using Remote Sensing Data: A Case Study of a Part of Bhind District, Madhya Pradesh; Application of GIS;

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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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Scale Issues in Remote Sensing

existing technologies) and advances in remote sensing imaging science (object-oriented image analysis and data fusion) * Prospects emerging and;

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Big Data for Remote Sensing: Visualization, Analysis and Interpretation

This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth;

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Remote Sensing For Biodiversity And Wildlife Management

methods for acquiring, interpreting, and analyzing remotely sensed data Habitat suitability and quality analysis Mapping anthropogenic;

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Remote Sensing and GIS for Ecologists

how to apply remote sensing within ecological research projects, how to approach spatial data sampling and how to interpret remote sensing;

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Remote Sensing and GIS for Ecologists

how to apply remote sensing within ecological research projects, how to approach spatial data sampling and how to interpret remote sensing;

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Advances in Photogrammetry, Remote Sensing and Spatial Information Sciences

Analysis - Data Modelling, Management and Visualisation - Applications - Education and Cooperation. Advances in Photogrammetry;

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Remote Sensing Applications in Environmental and Earth System Sciences

the types of data that can be used as well as the image processing and analysis methods that can be applied to each type of application;

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Remote Sensing and Cognition: Human Factors in Image Interpretation

in geographic imagery, especially remote sensing imagery with complex data. It addresses themes around expertise including methods for knowledge;

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Remote Sensing and Cognition

in geographic imagery, especially remote sensing imagery with complex data. It addresses themes around expertise including methods for knowledge;

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Geomatics Solutions for Disaster Management

development in numerous areas, including data collection, information extraction and analysis, data standardization, organizational and legal aspects;

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Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests

While frequently used in temperate environments, hyperspectral sensors and data are still a novelty in the tropics. Exploring the potential;

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Remote Sensing Digital Image Analysis

Remote Sensing Digital Image Analysis provides a comprehensive treatment of the methods used for the processing and interpretation;

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Hyperspectral Remote Sensing

hyperspectral data integration with other sources, such as LiDAR, Multi-spectral data, and other remote sensing techniques. Researchers who use this;

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Fundamentals of Satellite Remote Sensing

text focuses on the interpretation and analysis of remote sensing images and how they improve our understanding of environmental processes and;

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Multi-sensor System Applications in the Everglades Ecosystem

, machine learning, texture analysis, and data fusion. After an introduction to the Everglades and to remote sensing, the book is divided into four;

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Multi-sensor System Applications in the Everglades Ecosystem

, machine learning, texture analysis, and data fusion. After an introduction to the Everglades and to remote sensing, the book is divided into four;

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Remote Sensing of Snow and Ice

Many advances in spaceborne instrumentation, remote sensing, and data analysis have occurred in recent years, but until now there has been;

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Remote Sensing of Snow and Ice

Many advances in spaceborne instrumentation, remote sensing, and data analysis have occurred in recent years, but until now there has been;

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Planetary Remote Sensing and Mapping

Geometric information extraction from planetary remote sensing data Feature information extraction from planetary remote sensing data;

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