This volume discusses the use of hyperspectral data in numerous applications such as forest management, precision farming, monitoring invasive species, local to global land cover change detection, crop yield modeling and crop moisture assessment. Also emphasizes the importance of hyperspectral remote sensing tools for studying vegetation.
This volume discusses the use of hyperspectral data in numerous applications such as forest management, precision farming, monitoring invasive species, local to global land cover change detection, crop yield modeling and crop moisture assessment. Also emphasizes the importance of hyperspectral remote sensing tools for studying vegetation.
Section I: Detecting Crop Management Practices, Plant Stress, and Disease 1. Using Hyperspectral Data in Precision Farming Applications 2. Hyperspectral Narrowbands and Their Indices in Study of Nitrogen Content of Cotton Crops 3. Analysis of the Effects of Heavy Metals on Vegetation Hyperspectral Reflectance Properties Section II: Vegetation Processes and Function (ET, Water Use, GPP, LUE, Phenology) 4. Mapping the Distribution and Abundance of Flowering Plants Using Hyperspectral Sensing 5. Crop Water Productivity Estimation with Hyperspectral Remote Sensing 6. Hyperspectral Remote Sensing Tools for Quantifying Plant Litter and Invasive Species in Arid Ecosystems 7. Hyperspectral Applications to Landscape Phenology Section III: Land Cover, Forests, and Wetland and Urban Applications Using Hyperspectral Data 8. The Use of Hyperspectral Earth Observation Data for Land Use/Cover Classification: Present Status, Challenges, and Future Outlook 9. Hyperspectral Remote Sensing for Forest Management 10. Characterization of Pastures Using Field and Imaging Spectrometers 11. Hyperspectral Remote Sensing of Wetland Vegetation Section IV: Thermal, SWIR, and Visible Remote Sensing 12. Hyperspectral Remote Sensing of Fire: A Review Section V: Hyperspectral Data in Global Change Studies 13. Hyperspectral Data in Long-Term, Cross-Sensor Continuity Studies Section VI: Hyperspectral Remote Sensing of Other Planets 14. Hyperspectral Analysis of Rocky Surfaces on Earth and Other Planetary Bodies Section VII: Conclusions 15. Fifty Years of Advances in Hyperspectral Remote Sensing of Agriculture and Vegetation-Summary, Insights, and Highlights of Volume IV: Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation
Section I: Detecting Crop Management Practices, Plant Stress, and Disease 1. Using Hyperspectral Data in Precision Farming Applications 2. Hyperspectral Narrowbands and Their Indices in Study of Nitrogen Content of Cotton Crops 3. Analysis of the Effects of Heavy Metals on Vegetation Hyperspectral Reflectance Properties Section II: Vegetation Processes and Function (ET, Water Use, GPP, LUE, Phenology) 4. Mapping the Distribution and Abundance of Flowering Plants Using Hyperspectral Sensing 5. Crop Water Productivity Estimation with Hyperspectral Remote Sensing 6. Hyperspectral Remote Sensing Tools for Quantifying Plant Litter and Invasive Species in Arid Ecosystems 7. Hyperspectral Applications to Landscape Phenology Section III: Land Cover, Forests, and Wetland and Urban Applications Using Hyperspectral Data 8. The Use of Hyperspectral Earth Observation Data for Land Use/Cover Classification: Present Status, Challenges, and Future Outlook 9. Hyperspectral Remote Sensing for Forest Management 10. Characterization of Pastures Using Field and Imaging Spectrometers 11. Hyperspectral Remote Sensing of Wetland Vegetation Section IV: Thermal, SWIR, and Visible Remote Sensing 12. Hyperspectral Remote Sensing of Fire: A Review Section V: Hyperspectral Data in Global Change Studies 13. Hyperspectral Data in Long-Term, Cross-Sensor Continuity Studies Section VI: Hyperspectral Remote Sensing of Other Planets 14. Hyperspectral Analysis of Rocky Surfaces on Earth and Other Planetary Bodies Section VII: Conclusions 15. Fifty Years of Advances in Hyperspectral Remote Sensing of Agriculture and Vegetation-Summary, Insights, and Highlights of Volume IV: Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation
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