Alexandra Gemitzi,Nikolaos Koutsias,VenkatLakshmi
Advanced Environmental Monitoring with Remote Sensing Time Series Data and R
Advanced Environmental Monitoring with Remote Sensing Time Series Data and R
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This book provides a step-by-step guide to using publicly available remotely sensed time series data for environmental monitoring and assessment, with case studies from the Mediterranean region. It covers a wide range of applications, including hydrology, vegetation changes, land surface temperature, fire detection, and impacts, and uses R computer codes with explanatory comments.
Format: Paperback / softback
Length: 114 pages
Publication date: 21 January 2023
Publisher: Taylor & Francis Ltd
This comprehensive book offers a detailed and practical guide on utilizing various publicly available remotely sensed time series data sources for environmental monitoring and assessment. It delves into the effective extraction of valuable information on global changes from a 20-year collection of readily usable remotely sensed data, utilizing the free open statistical software R and its comprehensive geographic data analysis and modeling tools. The case studies presented are focused on the Mediterranean region, which is recognized as a hot spot for climate change effects. Each chapter is dedicated to specific remote sensing products chosen for their spatial resolution, ensuring a comprehensive understanding of their applications.
The methods employed are tailored to address diverse land cover areas, ranging from large-scale to smaller-scale problems. The book highlights real-world applications of environmental remotely sensed data, emphasizing the advantages and limitations of each data source. It encompasses a wide range of applications, including hydrology, vegetation changes, land surface temperature, fire detection, and the impacts of environmental factors.
Furthermore, Advanced Environmental Monitoring with Remote Sensing Time Series Data and R provides readers with comprehensive R computer codes accompanied by explanatory comments. These codes facilitate a step-by-step processing journey through open-source GIS and statistical analysis software, enabling users to effectively analyze and interpret the collected data.
This book is an invaluable resource for environmental researchers, professionals, and students seeking to leverage the power of remotely sensed time series data for comprehensive environmental monitoring and assessment. Its comprehensive coverage, practical insights, and user-friendly approach make it a must-have for anyone interested in advancing their understanding of the Earth's environmental dynamics and improving sustainability practices.
Weight: 210g
Dimension: 216 x 138 (mm)
ISBN-13: 9781032475073
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