1.

Record Nr.

UNINA9910768201103321

Autore

Kogan Felix

Titolo

Remote Sensing for Food Security / / by Felix Kogan

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019

ISBN

3-319-96256-6

Edizione

[1st ed. 2019.]

Descrizione fisica

1 online resource (262 pages)

Collana

Sustainable Development Goals Series, , 2523-3084

Disciplina

338.19

Soggetti

Remote sensing

Environmental health

Hydrology

Public health

Environmental sciences

Climatic changes

Remote Sensing/Photogrammetry

Environmental Health

Hydrology/Water Resources

Public Health

Environmental Science and Engineering

Climate Change/Climate Change Impacts

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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.

Sommario/riassunto

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. .