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Google Earth Engine Platform and Python programming is an emerging field andthere is a greatdemandfor geo-informatics anddata scienceprofessionals due to its application potential in several fields, such as ecological mapping, agriculture, rural and urban planning, environmental monitoring, natural resources management, natural hazards, and disasters management. Climate Smart Agriculture is a continuing education program that intends to familiarize learners with the Google Earth Engine cloud platform and Python programming language to process and analyze geospatial data. The google earth engine platform and algorithms can help detect cropping patterns, land use mapping, soil moisture, land surface temperature, flood, weed, and disease, and perform efficient irrigation water management and predict yield and crop quality. Google earth engine platform and Machine learning programming deal with acquisition,m storage, processing, forecasting, and dissemination of spatial information. This compendium has provided an advanced conceptual and practical knowledge of advanced GIS and remote sensing skills, such as accessing, downloading processing, analyzing, and visualizing big data based on the Python and JavaScript programming language with the GEE cloud platform.

The compendium is consisting of nineteen chapters; each chapter is indicating the specific applications of Python and JavaScript programming language with the GEE cloud platform.

Highlights of the book

Provides theoretical and practice-based knowledge tounderstand the basic and advanced concepts of GEE platform, hyperspectral remote sensing, python, java, and machine programming languages, accosted with the google earth engine platform and python language for climate smart agriculture.

Simplified and illustrated narration ideal for students of Geoinformatics, Agricultural Science/Engineering, Environment studies, Geology, and Geography and professionals pursuing GPS and GIS forthem to develop the image classification classifier algorithm, prepare the small programming, RS models, and tools to address the social and engineering problems.

A systematic approach to the subject coupled with lucid narration and suitable illustrations, An Introduction to Google Earth Engine with Python will be invaluable for students pursuing various courses on Geoinformatics, Agricultural Science/Engineering, Environment studies, Geology, and Geography and will prove handy for professionals pursuing GPS and GIS.