Multitemporal Earth Observation Image Analysis:Remote Sensing Image Sequences (ISTE Invoiced)

by: Clément Mallet (Editor),Nesrine Chehata (Editor)

Publisher: Wiley-ISTE

Edition: 1st

Publication Date: 2024/8/20

Language: English

Print Length: 272 pages

ISBN-10: 1789451760

ISBN-13: 9781789451764

Book Description

Earth observation has witnessed a unique paradigm change in the last decade with a diverse and ever-growing number of data sources. Among them, time series of remote sensing images has proven to be invaluable for numerous environmental and climate studies.Multitemporal Earth Observation Image Analysis provides illustrations of recent methodological advances in data processing and information extraction from imagery, with an emphasis on the temporal dimension uncovered either by recent satellite constellations (in particular the Sentinels from the European Copeicus programme) or archival aerial images available in national archives.The book shows how complementary data sources can be efficiently used, how spatial and temporal information can be leveraged for biophysical parameter estimation, classification of land surfaces and object tracking, as well as how standard machine leaing and state-of-the-art deep leaing solutions can solve complex problems with real-world applications.

About the Author

Earth observation has witnessed a unique paradigm change in the last decade with a diverse and ever-growing number of data sources. Among them, time series of remote sensing images has proven to be invaluable for numerous environmental and climate studies.Multitemporal Earth Observation Image Analysis provides illustrations of recent methodological advances in data processing and information extraction from imagery, with an emphasis on the temporal dimension uncovered either by recent satellite constellations (in particular the Sentinels from the European Copeicus programme) or archival aerial images available in national archives.The book shows how complementary data sources can be efficiently used, how spatial and temporal information can be leveraged for biophysical parameter estimation, classification of land surfaces and object tracking, as well as how standard machine leaing and state-of-the-art deep leaing solutions can solve complex problems with real-world applications.