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Agricultural Applications of Earth Observation cover

Agricultural Applications of Earth Observation

Advancing Agriculture through Earth Observation

by Peng Fu

1st Edition

Publisher: Elsevier

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Book Details

Print ISBN9780443383458
eText ISBN9780443383465
PublisherElsevier
Publishing Year2026
Edition1st Edition
LanguageEnglish
Pages364

Agricultural Applications of Earth Observation, 1st Edition, examines the integration of satellite remote sensing into agricultural monitoring and land management. Edited by Dr. Peng Fu, Assistant Professor of Digital Agriculture and director of the Ecosystem Sensing and Modeling Lab, this publication details quantitative frameworks designed to measure land surface parameters across field scales.

The content develops several analytical themes focused on satellite data interpretation. Chapters address the retrieval of key agricultural variables using radiative transfer modeling, progressing to observational methods for tracking environmental conditions. Additional coverage includes multi-data fusion techniques for drought monitoring and analytical modeling of carbon sequestration potential in abandoned cropland.

By grounding theoretical models in operational monitoring frameworks, the volume offers specialized technical guidance. It supports postgraduates, academics, and researchers in remote sensing and agricultural sciences who analyze earth observation datasets.

Table of Contents

  1. Chapter 1: Earth Observation in agriculture: an introduction

  2. Chapter 2: Quantifying agricultural biophysical variables from remote sensing: methods, models, and applications

  3. Chapter 3: Exploring the potential of Sim2DSphere model in predicting the spatiotemporal variability of shortwave incoming radiation flux and air temperature across varied ecosystem conditions

  4. Chapter 4: Monitoring evapotranspiration in agricultural fields with LST-based models

  5. Chapter 5: Monitoring crop phenology with remote sensing

  6. Chapter 6: Agricultural land mapping with satellite imagery using machine learning

  7. Chapter 7: Satellite-based mapping of crop yield

  8. Chapter 8: Learning feature representations with recurrent neural networks for the Earth Sciences

  9. Chapter 9: Drought monitoring based on remote sensing and multiple data fusion

  10. Chapter 10: Carbon sequestration potential in abandoned croplands

  11. Chapter 11: Remote sensing of soil moisture in agroecosystems

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▶Research Sources (18)
  • Agricultural Applications of Earth Observation - - e-bok ...
  • Monitoring crop phenology with remote sensing
  • E-raamat: Agricultural Applications of Earth Observation
  • Carbon sequestration potential in abandoned croplands
  • Agricultural Applications of Earth Observation - Peng Fu
  • Monitoring evapotranspiration in agricultural fields with LST-based ...
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  • Remote sensing of soil moisture in agroecosystems
  • Agricultural Applications of Earth Observation
  • Agricultural Applications of Earth Observation
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  • Agricultural Applications of Earth Observation Peng Fu - Nalda
  • The Spectrum of Earth Observation: Applications in ...
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  • Agricultural Applications of Earth Observation
  • Satellite Remote Sensing for Agricultural Applications
  • Leveraging Earth Observation Data for Informed ...
  • Artificial intelligence and Earth observation for agricultural ...

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