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Advanced Environmental Monitoring with Remote Sensing Time Series Data and R

with Remote Sensing Time Series Data and R describes and provides details on recent advances concerning publicly available remotely sensed time;

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Advanced Environmental Monitoring with Remote Sensing Time Series Data and R

processing through open source GIS and statistical analysis software Advanced Environmental Monitoring with Remote Sensing Time Series Data and R;

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Advances in Remote Sensing for Natural Resource Monitoring

monitor natural resources precisely and accurately is increasingly important. New and advanced remote sensing tools and techniques are continually;

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Remote Sensing Applications in Environmental and Earth System Sciences

Remote Sensing Applications in Environmental and Earth System Sciences is a contemporary, multi-disciplinary, multi-scaling, updated, and;

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Big Data for Remote Sensing: Visualization, Analysis and Interpretation

processing techniques for observing data together with uncertainty information raised by spectral, spatial, and positional accuracy of GPS data. The;

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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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Remote Sensing and Global Environmental Change

examples. Readership The book is intended for advanced undergraduate and graduate students in earth science, environmental science, or physical;

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Remote Sensing and Global Environmental Change

examples. Readership The book is intended for advanced undergraduate and graduate students in earth science, environmental science, or physical;

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Remote Sensing of Soil Salinization

and choose the right remote sensing tools and data sets required based on the purpose of the study and the environmental setting. Organized;

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Environmental Modelling with GIS and Remote Sensing

. Environmental Modeling with GIS and Remote Sensing derives from a training course run by ITC for professionals and managers in the environmental;

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Remote Sensing of the Mine Environment

and how to interpret the acquired data for different purposes. Following a general introduction to remote sensing principles and image;

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Remote Sensing of the Mine Environment

and how to interpret the acquired data for different purposes. Following a general introduction to remote sensing principles and image;

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Urban High-Resolution Remote Sensing

With urbanization as a global phenomenon, there is a need for data and information about these terrains. Urban remote sensing techniques;

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Environmental Remote Sensing and Systems Analysis

Using a systems analysis approach and extensive case studies, Environmental Remote Sensing and Systems Analysis shows how remote sensing;

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Environmental Remote Sensing and Systems Analysis

Using a systems analysis approach and extensive case studies, Environmental Remote Sensing and Systems Analysis shows how remote sensing;

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Environmental Modelling with GIS and Remote Sensing

. Environmental Modeling with GIS and Remote Sensing derives from a training course run by ITC for professionals and managers in the environmental;

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Advanced Remote Sensing Technology for Tsunami Modelling and Forecasting

modern physics, applied mathematics, signal communication, remote sensing data and innovative space technologies. This book equips readers to;

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Advanced Remote Sensing Technology for Tsunami Modelling and Forecasting

modern physics, applied mathematics, signal communication, remote sensing data and innovative space technologies. This book equips readers to;

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Unmanned Aerial Remote Sensing

duration and distance, safety, and the invasion of privacy. Unmanned Aerial Remote Sensing: UAS for Environmental Applications is an excellent;

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Remote Sensing and GIS Integration

. Remote Sensing and GIS Integration begins with theoretical discussions, followed by a series of application areas in urban and environmental;

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Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing

fast learning algorithms. The niche for integrating data fusion and machine learning for remote sensing rests upon the creation of a new;

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Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing

Remote Sensing; Integrated Data Merging, Data Reconstruction, Data Fusion, and Machine Learning; to Remote Sensing for Environmental Decision;

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Remote Sensing and GIS Technologies for Monitoring and Prediction of Disasters

aspects comprise data access/delivery to the users, information extraction and analysis, management of data and its integration with other data;

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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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Remote Sensing of Natural Resources

Highlighting new technologies, Remote Sensing of Natural Resources explores advanced remote sensing systems and algorithms for image;

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Remote Sensing of Natural Resources

Highlighting new technologies, Remote Sensing of Natural Resources explores advanced remote sensing systems and algorithms for image;

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