Multitemporal Earth Observation Image Analysis
eBook - PDF

Multitemporal Earth Observation Image Analysis

Remote Sensing Image Sequences

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Multitemporal Earth Observation Image Analysis

Remote Sensing Image Sequences

About this book

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 Copernicus 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 learning and state-of-the-art deep learning solutions can solve complex problems with real-world applications.

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Yes, you can access Multitemporal Earth Observation Image Analysis by Clément Mallet,Nesrine Chehata in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Digital Media. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley-ISTE
Year
2024
Print ISBN
9781789451764
eBook ISBN
9781394306633
Edition
1
Topic
Technology & Engineering
Subtopic
Digital Media
Index
Technology & Engineering

Table of contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Contents
  5. Foreword
  6. Chapter 1. Broader Application of the Time-SIFT Method: Proof-of-Concept of 3-D-Monitoring Study Cases with Various Spatiotemporal Scales
  7. Chapter 2. Hierarchical Crop Mapping from Satellite Image Sequences with Recurrent Neural Networks
  8. Chapter 3. Exploiting Multitemporal Multispectral High-resolution Satellite Data toward Annual Land Cover and Crop Type Mapping: A Case Study in Greece
  9. Chapter 4. Irrigation Monitoring Using High Spatial and Temporal Resolutions Remote Sensing Time Series
  10. Chapter 5. Trends in Satellite Time Series Processing for Vegetation Phenology Monitoring
  11. Chapter 6. Data-Driven Spatio-Temporal Interpolation for Satellite-Derived Geophysical Tracers
  12. Chapter 7. Recent Advances in Tropical Cyclone Forecasting Using Machine Learning on Reanalysis and Remote Sensing
  13. List of Authors
  14. Index
  15. EULA