Hyperspectral Remote Sensing: Theory and Applications

Hyperspectral Remote Sensing: Theory and Applications offers the latest information about the techniques, advances, and wide-ranging applications of hyperspectral remote sensing, such as forestry, agriculture, water resources, soil, and geology, among others. It also presents hyperspectral data integration with other sources such as LiDAR, Multi-spectral data, and other remote sensing techniques. An invaluable resource, Hyperspectral Remote Sensing allows researchers to understand and implement the technology and data in their respective fields. As such, it is a valuable reference for researchers and data analysts in remote sensing and Earth Observation fields as well as those in ecology, agriculture, hydrology, and geology. Includes the theory of hyperspectral remote sensing as well as techniques and applications across a variety of disciplinesPresents processing, methods, and techniques utilized for hyperspectral remote sensing and in-situ data collectionProvides an overview of the state-of-the-art including algorithms, techniques, and case studies INDICE: 1. Introduction to hyperspectral remote sensing and its processing Prem Chandra Pandey, Heiko Balzter, Prashant K. Srivastava and George Petropoulos Section 1: Introduction to Hyperspectral Remote Sensing and Principles of Theory and Data Processing 2. Spectral smile and radiometric corrections of airborne hyperspectral data Vassilia Karathanassi Sr. 3. Anomaly detection in hyperspectral remote sensing images Przemyslaw Glomb 4. Atmospheric parameter retrieval and correction using hyperspectral data Manoj Kumar Mishra 5. Hyperspectral image classifications and feature selection Mahesh Pal Section 2: Hyperspectral Remote Sensing Application in Vegetation 6. Identification of functionally distinct plants using linear spectral mixture analysis Ramandeep Kaur M. Malhi 7. Estimation of Chengal Trees Relative Abundance using Coarse Spatial Resolution Hyperspectral Systems Noordyana Binti Hassan 8. The use of hyperspectral remote sensing in precision agriculture: present status, trends and challenges George Petropoulos and Prem Chandra Pandey 9. Discriminating tropical grasses grown under different inorganic fertilizer regimes in KwaZulu-Natal, South Africa Onisimo Mutanga Section 3:Hyperspectral Remote Sensing Application in Water, Snow, Urban Research 10. Hyperspectral remote sensing for snow mapping Pradeep Kumar Garg 11. Remote Sensing of Inland Water Quality: A Hyperspectral Perspective Shard Chander 12. Efficacy of Hyperspectral Data for Monitoring and Assessment of Wetland Ecosystem Laxmi Kant Sharma Section 4: Hyperspectral Remote Sensing Application in Soil and Mineral Exploration 13. Spectroradiometry as a tool for monitoring soil contamination by heavy metals in a floodplain site Salim LAMINE 14. Hyperspectral Remote Sensing Applications in Soil: A Review Huan Yu 15. Mineral Exploration using hyperspectral data Arindam Guha 16. Metrological hyperspectral image analysis through spectral differences Jon Atli Benediktsson Section 5: Hyperspectral Remote Sensing: Multi-sensor, Fusion and Indices applications for Pollution Detection and Other Applications 17. Improving the detection of cocoa bean fermentation-related changes using image fusion Wenzhi Liao Sr. 18. Non-invasive Detection of Plant Parasitic Nematodes using Hyperspectral and other Remote Sensing Systems Barbara Geric Stare and Sasa Sirca 19. Evaluating the Performance of Vegetation Indices for Detecting Oil Pollution Effects on Vegetation using Hyperspectral (Hyperion-EO1) and Multispectral (Sentinel-2A) Data in the Niger Delta Nkeiruka Nneti Onyia 20. Hyperspectral vegetation indices to detect hydrocarbons pollution Paul Arellano Section 6: Hyperspectral Remote Sensing: Challenges, Future Pathway for Research & Emerging Applications 21. Future perspectives and challenges in hyperspectral remote sensing community Prem Chandra Pandey, Heiko Balzter, George Petropoulos and Prashant K. Srivastava

• ISBN: 978-0-08-102894-0
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 450
• Fecha Publicación: 01/07/2020
• Nº Volúmenes: 1
• Idioma: Inglés