Remote Sensing Land Surface Changes

The 1981-2020 Intensive Global Warming

Häftad, Engelska, 2024

AvFelix Kogan

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This book discusses the detrimental consequences of climate-related land changes over a 40-year period between 1981 and 2020, and focuses on how climate warming is deteriorating the agricultural system due to excessive heat, lack of moisture and more intensive and widespread droughts leading to a reduction of agricultural production.

Produktinformation

Utgivningsdatum2024-02-25
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
Antal sidor462
FörlagSpringer Nature Switzerland AG
ISBN9783030968120

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Dr. Felix Kogan is a physical scientist at NOAA/NESDIS, Center for Satellite Application and Research (STAR). He is a developer of satellite-based Vegetation Health (VH) method and VH applications. His research interests include drought detection and monitoring, VH-yield modeling, fire risk, malaria monitoring, vegetation stress assessment, climate and land cover change, VH data distribution, etc. He has authored around 170 publications including three books. He received his MS degree from USSR’s Odessa Hydrometeorological Institute and his PhD from USSR’s Hydrometeorological Center in Moscow.

Chapter 1-Why this Topic?.- Chapter 2-Global Warming Impact on Earth Systems.- Chapter 3-The IPCC Reports on Global Warming and Land Changes.- Chapter 4.NOAA Operational Environmental Satellites for Earth Monitoring.- Chapter 5-New Remote Sensing Vegetation Health Technology.- Chapter 6-Cause of Climate Warming.- Chapter 7- Land Cover Changes from Intensive Climate Warming.- Chapter 8-Global Warming Crop Yield and Food Security.- Chapter 9-Remote Sensing Malaria During Global Warming.- Chapter 10-Malaria Performance Trend During 1981-2022.- Chapter 11-Remote Sensing Drought Watch and Food Security.- Chapter 12-Has Drought Intensified During 1981-2021 Global Warming?

“The subject of the book is global warming and its impact on human life. Kogan analyses various technical aspects of this subject, and readers interested in various data analysis reports will find the book very useful. The book also serves as a survey with its many references. Time series analysis of various related parameters is explained. The book provides ample case studies for data science learners.” (Maulik A. Dave, Computing Reviews, August 19, 2024)