LEADER 04142nam  22006735  450 
001 9910768201103321
005 20200703094340.0
010   $a3-319-96256-6
024 7 $a10.1007/978-3-319-96256-6
035   $a(CKB)4100000007102973
035   $a(MiAaPQ)EBC5622166
035   $a(DE-He213)978-3-319-96256-6
035   $a(PPN)231463138
035   $a(EXLCZ)994100000007102973
100   $a20181027d2019      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aRemote Sensing for Food Security /$fby Felix Kogan
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $a1 online resource (262 pages)
225 1 $aSustainable Development Goals Series,$x2523-3084
311   $a3-319-96255-8 
327   $aChapter1: 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.
330   $aThis volume gathers a variety of applications for remote sensing of vegetation health (VH) and concretely shows how this information can be used in service of ending hunger and of ensuring future food security. In this book?s ten chapters, Dr. Felix Kogan, one of the most prolific scientists in this sphere, shows how a new VH method, designed from operational environmental satellite data, can be used to provide advanced predictions of agricultural losses, helping to enhance food security and reducing the number of hungry people. Topics covered include the scientific basis of the VH method, drought monitoring, prediction of short-term agricultural yield and crop insurance, and impacts of long term climate variability an change on food security. Short discussion on VH for human health-related topics such as detection and prediction of malaria and fire risk is included, as well. .
410  0$aSustainable Development Goals Series,$x2523-3084
606   $aRemote sensing
606   $aEnvironmental health
606   $aHydrology
606   $aPublic health
606   $aEnvironmental sciences
606   $aClimatic changes
606   $aRemote Sensing/Photogrammetry$3https://scigraph.springernature.com/ontologies/product-market-codes/J13010
606   $aEnvironmental Health$3https://scigraph.springernature.com/ontologies/product-market-codes/U18005
606   $aHydrology/Water Resources$3https://scigraph.springernature.com/ontologies/product-market-codes/211000
606   $aPublic Health$3https://scigraph.springernature.com/ontologies/product-market-codes/H27002
606   $aEnvironmental Science and Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/G37000
606   $aClimate Change/Climate Change Impacts$3https://scigraph.springernature.com/ontologies/product-market-codes/313000
615  0$aRemote sensing.
615  0$aEnvironmental health.
615  0$aHydrology.
615  0$aPublic health.
615  0$aEnvironmental sciences.
615  0$aClimatic changes.
615 14$aRemote Sensing/Photogrammetry.
615 24$aEnvironmental Health.
615 24$aHydrology/Water Resources.
615 24$aPublic Health.
615 24$aEnvironmental Science and Engineering.
615 24$aClimate Change/Climate Change Impacts.
676   $a338.19
700   $aKogan$b Felix$4aut$4http://id.loc.gov/vocabulary/relators/aut$0921013
906   $aBOOK
912   $a9910768201103321
996   $aRemote Sensing for Food Security$93656019
997   $aUNINA