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Remote Sensing for Food Security

  • Felix Kogan

Part of the Sustainable Development Goals Series book series (SDGS)

About this book

Introduction

This volume gathers a variety of applications for remote sensing of vegetation health (VH) and concretely shows how this information can be used in service of ending hunger and of ensuring future food security. In this book’s ten chapters, Dr. Felix Kogan, one of the most prolific scientists in this sphere, shows how a new VH method, designed from operational environmental satellite data, can be used to provide advanced predictions of agricultural losses, helping to enhance food security and reducing the number of hungry people. Topics covered include the scientific basis of the VH method, drought monitoring, prediction of short-term agricultural yield and crop insurance, and impacts of long term climate variability an change on food security. Short discussion on VH for human health-related topics such as detection and prediction of malaria and fire risk is included, as well. 

Keywords

Vegetation Health (VH) Technologies and Indices Drought early detection and prediction Global food security Operation satellites for earth monitoring VH-based monitoring of agricultural production Designing agricultural insurance Environmental stressors affecting humans Predictions of vegetation health Long-term climate and land cover changes Weather impacts on crops and pastures

Authors and affiliations

  • Felix Kogan
    • 1
  1. 1.NOAA/NESDISCollege ParkUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-96256-6
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Earth and Environmental Science
  • Print ISBN 978-3-319-96255-9
  • Online ISBN 978-3-319-96256-6
  • Series Print ISSN 2523-3084
  • Series Online ISSN 2523-3092
  • Buy this book on publisher's site