Advanced Environmental Monitoring with Remote Sensing Time Series Data and R

Advanced Environmental Monitoring with Remote Sensing Time Series Data and R
Author :
Publisher : CRC Press
Total Pages : 115
Release :
ISBN-10 : 9780429552670
ISBN-13 : 042955267X
Rating : 4/5 (67X Downloads)

Book Synopsis Advanced Environmental Monitoring with Remote Sensing Time Series Data and R by : Alexandra Gemitzi

Download or read book Advanced Environmental Monitoring with Remote Sensing Time Series Data and R written by Alexandra Gemitzi and published by CRC Press. This book was released on 2019-11-20 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a step-by-step guide on how to use various publicly available remotely sensed time series data sources for environmental monitoring and assessment. Readers will learn how to extract valuable information on global changes from a 20-year collection of ready-to-use remotely sensed data through the free open statistical software R and its geographic data analysis and modeling tools. The case studies are from the Mediterranean region—a designated hot spot regarding climate change effects. Each chapter is dedicated to specific remote sensing products chosen for their spatial resolution. The methods used are adapted from large-scale to smaller-scale problems for different land cover areas. Features Includes real-world applications of environmental remotely sensed data Analyzes the advantages and restrictions of each data source Focuses on a wide spectrum of applications, such as hydrology, vegetation changes, land surface temperature, fire detection, and impacts Includes R computer codes with explanatory comments and all applications use only freely available remotely sensed data Presents a step-by-step processing through open source GIS and statistical analysis software Advanced Environmental Monitoring with Remote Sensing Time Series Data and R describes and provides details on recent advances concerning publicly available remotely sensed time series data in environmental monitoring and assessment. This book is a must-have practical guide for environmental researchers, professionals, and students.


Advanced Environmental Monitoring with Remote Sensing Time Series Data and R Related Books

Advanced Environmental Monitoring with Remote Sensing Time Series Data and R
Language: en
Pages: 115
Authors: Alexandra Gemitzi
Categories: Science
Type: BOOK - Published: 2019-11-20 - Publisher: CRC Press

GET EBOOK

This book provides a step-by-step guide on how to use various publicly available remotely sensed time series data sources for environmental monitoring and asses
Remote Sensing Time Series
Language: en
Pages: 458
Authors: Claudia Kuenzer
Categories: Technology & Engineering
Type: BOOK - Published: 2015-04-28 - Publisher: Springer

GET EBOOK

This volume comprises an outstanding variety of chapters on Earth Observation based time series analyses, undertaken to reveal past and current land surface dyn
Environmental Management
Language: en
Pages: 441
Authors: Chris Barrow
Categories: Science
Type: BOOK - Published: 2024-04-29 - Publisher: Taylor & Francis

GET EBOOK

This comprehensively updated third edition explores the nature and role of environmental management and offers an introduction to this rapidly expanding and cha
Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation
Language: en
Pages: 427
Authors: Prasad S. Thenkabail
Categories: Science
Type: BOOK - Published: 2018-12-07 - Publisher: CRC Press

GET EBOOK

Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews e
Advances in Photogrammetry, Remote Sensing and Spatial Information Sciences: 2008 ISPRS Congress Book
Language: en
Pages: 548
Authors: Zhilin Li
Categories: Science
Type: BOOK - Published: 2008-07-01 - Publisher: CRC Press

GET EBOOK

Published on the occasion of the XXIst Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS) in Beiijng, China in 2008, Advances i