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Remote sensing for food security

Kogan, Felix.

Remote sensing for food security

Record Type:	Electronic resources : Monograph/item
Title/Author:	Remote sensing for food securityby Felix Kogan.
Author:	Kogan, Felix.
Published:	Cham :Springer International Publishing :2019.
Description:	xv, 255 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Food security.
Online resource:	https://doi.org/10.1007/978-3-319-96256-6
ISBN:	9783319962566$q(electronic bk.)

Remote sensing for food security
Kogan, Felix.

Remote sensing for food security[electronic resource] /by Felix Kogan. - Cham :Springer International Publishing :2019. - xv, 255 p. :ill., digital ;24 cm. - Sustainable development goals series,2523-3084. - Sustainable development goals series..

Chapter1: Why This Book? -- Chapter2: Food Security - the 21st Century Issue -- Chapter3: Operational Satellites for Earth Monitoring -- Chapter4: Vegetation Health Method -- Chapter5: Monitoring Drought from Space and Food Security -- Chapter6: Vegetation Health-based Modeling Crop Yield and Food Security Prediction -- Chapter7: Vegetation Health for Insuring Drought-Related Yield Losses and Food Security Enhancement -- Chapter8: Advanced VH-based Long-Term Drought and Food Security Prediction -- Chapter9: Climate Change and Food Security Current and Future -- Chapter10: Application of Vegetation Health Data and Products for Monitoring Food Security.

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.

ISBN: 9783319962566$q(electronic bk.)

Standard No.: 10.1007/978-3-319-96256-6doiSubjects--Topical Terms:

456438
Food security.

LC Class. No.: HD9000.5 / .K643 2019

Dewey Class. No.: 363.80285

Remote sensing for food security
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490 1 $a Sustainable development goals series, $x 2523-3084
505 0 $a Chapter1: Why This Book? -- Chapter2: Food Security - the 21st Century Issue -- Chapter3: Operational Satellites for Earth Monitoring -- Chapter4: Vegetation Health Method -- Chapter5: Monitoring Drought from Space and Food Security -- Chapter6: Vegetation Health-based Modeling Crop Yield and Food Security Prediction -- Chapter7: Vegetation Health for Insuring Drought-Related Yield Losses and Food Security Enhancement -- Chapter8: Advanced VH-based Long-Term Drought and Food Security Prediction -- Chapter9: Climate Change and Food Security Current and Future -- Chapter10: Application of Vegetation Health Data and Products for Monitoring Food Security.
520 $a 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.
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