Google Earth Engine: Method, Techniques, and Applications

This book is divided into three major parts; The first part discusses an introduction to the basics of GEE, the second part describes techniques for using the GEE platform, and the third part explains examples of GEE applications for various types of data. In the first part, readers will be introduced to various concepts, terms, and components in the interface which are the main foundation for using the GEE platform. Various data catalogues, integration functions with QGIS, and how to search and process data are also explained in detail. In the second part, readers can learn how to use GEE for various types of data. Several types of data discussed technically are Sentinel-1 SAR data, water data, troposphere data, weather data, topographic data, and MODIS optical data. Finally, in the third part, readers can learn various application techniques related to data processing and creating cartographic components in GEE.

Geospatial Data Science: Geospatial Data Processing and Analysis using R

This book is divided into several parts, the first part explains the concept of spatial data and its differences with geospatial data, various types of geospatial data models, reference and coordinate systems, units used, and uncertainty in geospatial data. The second part discusses the introduction of RStudio software which will be used in the processing and analysis of geospatial data. The third part will introduce the reader to the use of RStudio software. The fourth part will take the reader to the processing and analysis of raster data. The concept and application of Machine Learning (ML) and Artificial Neural Network (ANN) algorithms will be introduced. This method will be applied to high-resolution satellite image data for the process of extracting information on land use and cover.

Introduction to Geoinformatics Science

This Introduction to Geoinformatics Science book is the first and only one currently available in Indonesia. Other books circulating and available on the market only focus on tutorials and software usage techniques and a little theory about GIS (Geographical Information Systems) and do not show significant differences regarding the study of Geoinformatics. This book explains concisely and simply the concept of geospatial mindset and expertise as well as the domain of information systems and computer technology which is the foundation of geoinformatics studies.

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Curiosity: Scientific Methods of Research in Information Technology

This book consists of eleven chapters that guide anyone interested in answering their curiosity scientifically. In several chapters, sub-chapters are provided for the process of sharpening the reader's curiosity. Informative image media is also provided so that readers have a deep understanding of the aspects discussed easily.

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Geoinformatics Science: Observation to Validation

The book provides new knowledge related to the development of geospatial information systems by applicable and recognized scientific principles. Chapter 1 introduces readers to observation techniques for geospatial information system needs. Chapter 2 explains the reader to the design and design process of a geospatial information system. Chapter 3 introduces the reader to various algorithms in geospatial analysis, hardware and software implementation, algorithm implementation, and interface implementation. Chapter 4 introduces readers to various methods of testing geospatial information systems. Chapter 5 explains to readers about various system testing approaches. Chapter 6 provides readers with knowledge of several frameworks that are often used in developing geospatial information systems. Finally, Chapter 7, presents various case studies which are the results of research.

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Geointelligence: Spatial-based Intelligence

This book is divided into three major parts; Part One 'Concepts of Space-Based Intelligence', Part Two 'Processing and Analysis of Vector Data', and Part Three 'Processing and Analysis of Raster Data'. Vector and raster data are the two main types of geometric data used in every geoinformatics analysis. In the first part, 'Concepts of Space-Based Intelligence', readers will be introduced to various concepts and terms which are the main foundations of space-based intelligence. Various basic analysis, analysis methodology, spatial statistics, as well as computing and spatial algebra, are also explained in detail. In Part Two, 'Vector Data Processing and Analysis' readers can learn various geocomputational techniques with various types of vector geometry, namely points, lines, and areas. Starting from geo-intelligence heatmap applications, and hydrological analysis, to LiDAR data processing and analysis. Finally, in Part Three, 'Raster Data Processing and Analysis' readers can learn various geocomputational techniques using raster data geometry. Starting from old map georeferencing techniques, a transformation of satellite image data with optical sensors (passive), satellite image classification, processing and analysis of satellite image data with SAR sensors (active), visualization of wind direction and speed, multi-criteria based spatial evaluation, geo applications -intelligence using artificial neural network algorithms and mobile GIS development, to cloud-computing based data processing based on Google Earth Engine (GEE)