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PDF E-Book: Google Earth Engine

About Google Earth Engine

Google Earth Engine has made it possible for the first time in history to rapidly and accurately process vast amounts of satellite imagery, identifying where and when tree cover change has occurred at high resolution. Global Forest Watch would not exist without it. For those who care about the future of the planet Google Earth Engine is a great blessing!

-Dr. Andrew Steer, President and CEO of the World Resources Institute.


Google Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities and makes it available for scientists, researchers, and developers to detect changes, map trends, and quantify differences on the Earth's surface. (Source : Google Earth Engine website).



The Google Earth Engine Book

Many research works have been conducted using this unique Google Earth Engine. Most prominent research studies have been compiled to create this book. This book is a printed edition of the Special Issue Google Earth Engine Applications that was published in MDPI-Remote Sensing journal.


About the Special Issue Editors of this book-


Lalit Kumar a professor at the School of Environmental and Rural Science at The University of New England in Australia. His main research interests are environmental modelling, the utilization of high spatial and high spectral resolution data for vegetation mapping and understanding light interactions at the plant canopy level. Most of his recent work has investigated the impacts of climate change on coastal areas and the utilisation of time series remote sensing data and global climate models for mapping historical changes in coastal areas and projections of future changes.

Onisimo Mutanga is a Professor and SARChI Chair on land use planning and management. His expertise lies on vegetation (including agricultural crops) patterns and condition analysis in the face of global and land use change using remote sensing. He integrates ecology, biodiversity conservation and remote sensing to model the impacts of forest fragmentation, pests and diseases, and invasive species on agricultural and natural ecosystems.


Table of contents of this book are given below-






Download full PDF version of the book here




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#google #earthengine #remotesensing #image #imagery #GoogleEarthEngine #geoinformers



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Geoinformatics and Remote Sensing