Hyperspectral Remote Sensing and Spectral Signature Applications

Contents: Preface. I. Hyperspectral remote sensing: 1. Hyperspectral remote sensing--a development and perspective/S. Rajendran and M. Rajamanickam. 2. Hyperspectral remote sensing--an overview/S.K. De. 3. Hyperspectral remote sensing and its applications/S. Rajendran, M. Rajamanickam, R. Sivakumar and K.R. Murali Mohan. 4. Hyperspectral remote sensing and its applications an Indian context/S. Rajendran, M. Rajamanickam and A. Thirunavukkarasu. II. Hyperspectral signature and IT's applications: 5. Hyperspectral remote sensing in planetary exploration/Neeraj Srivastava. 6. Utility of spectral signatures in rock and mineral discrimination and mineral exploration/T.V. Ramachandran. 7. Inter-sensor variability in the computation of vegetation indices (NDVI & SR)/Binal Christian and N.S.R. Krishnayya. 8. Marine clays and its impact on the rapid urbanization developments: a case study of Mumbai area using EO-1-Hyperion data/D. Ramakrishnan and K.N. Kusuma. 9. Spectral reflectance measurements in snowbound areas of Indian Himalaya/H.S. Negi, S.K. Singh and A.V. Kulkarni. 10. Crop growth monitoring and in-season yield estimation in wheat-sugarcane intercropping using greenseeker optical sensor/Arun K. Srivastava, Ishwar Singh and R.L. Yadav. 11. The performance of satellite-borne EO-1 Hyperion Hyperspectral VNIR-SWIR imaging system for mineral mapping at Musiri and Tattayyangarpettai regions of part of Namakkal and Tiruchirapalli districts of Tamil Nadu State, India/S. Rajendra, M. Rajamanickam and B. Poovalinga Ganesh. 12. Smoothing vegetation spectra of EO-1 Hyperion using Fast-Fourier transform/Anshu Miglani, S.S. Ray and Sushma Panigrahy. 13. Remote sensing of canopy dynamics and optimum reflectance ratio for estimating biochemical content of fodder sorghum and bajra/Suchit K. Rai, S.K. Das, M.J. Baig and A.K. Rai. 14. Reflectance characteristics of crop canopies under stress due to pest and disease infestation/M. Prabhakar, Y.G. Prasad, B. Venkateswarlu and Y.S. Ramakrishna. 15. Hyperspectral remote sensing of coastal sedimentary terrains: a solution in sight for faster, reliable and coast effective environmental impact assessment?/Mu. Ramkumar, K. Anbarasu, G. Sathish, R. Suresh and S. Venkateswaran. 16. Utility of data integration in geological mapping and mineral exploration--case studies/T.V. Ramachandran. 17. Hyperspectral data analysis for coastal aquatic system/R. Arthur James and A. Rajendran. 18. Data mining techniques for remote sensing images/M. Govindarajan and S. Rajendran. 19. Content-based remote sensing image retrieval/M. Govindarajan and R.M. Chandrasekaran. 20. Hyperspectral signature database/S.K. De and Sambuddha Kishore De. 21. FTIR spectra of natural crystals of low temperature origin : implications on interpretation of paleoclimate modeling sediment diagenesis and hydrocarbon exploration/S. Yuvarani, V. Krishnakumar and Mu. Ramkumar. III. Applications of high-resolution and multispectral remote sensing satellite data: 22. Identification of heat generating industries using ASTER thermal infra red data/Poonam Negi and D. Kamal Jain. 23. Mapping of Formicoidea diversity using landsat TM satellite data and GIS techniques/B. Kaleeswaran, B. Poovalinga Ganesh and S. Rajendran. 24. Water planning of a river basin using remote sensing and geographical information system techniques a case study/K. Santhanam and V.E. Nethaji Mariappan. 25. Distribution of mangroves in Tamil Nadu--analysis through remote sensing/Punitha S. 26. Study of prawn farming and impact of tsunami in Nagapattinam coast using hyperspectral remote sensing/V. Emayavaramban. 27. Application of remote sensing technique for petroleum exploration targets/M. Bhuvaneshwari, S. Aravindan, R. Rengarajan, D. Rajasekara Reddy and V. Thirumurugan. 28. Advanced spatial tools for integrated coastal resources management/M. Jayanthi. 29. Discrimination of selected features from multispectral landsat TM data using hyperspectral tools/S. Rajendran, B. Poovalinga Ganesh, K. Maharani, S. Raja and A. Thirunavukkarasu. 30. Using advanced synthetic aperture radar (ASAR) for recognition of coastal geomorphological features and land use assessment in part of Tamilnadu coast/G. Balamurugan and S. Rajendra. 31. Multi-temporal remote sensing data in monitoring the mangroves of Pichavaram/Gnanappazham, L. and V. Selvam. 32. Spatial distribution of soil nutrients in Thiruvannamalai district/V.E. Nethaji Mariappan and A. Anandhan. 33. Exploration and discrimination of magnetite ores of Tirthamalai region, Dharmapuri district, Tamil Nadu state using IRS P6 LISS IV satellite data/A. Thirunavukkarasu, S. Rajendran, B. Poovalinga Ganesh, K. Maharani and K. Shankar. 34. Evaluation of shoreline changes along Gopalpur coast east coast of India using satellite data/K.C. Sahu. 35. Remote sensing and GIS based study of morphometry and sediment yield of Venkatapur river basin west coast of India/G. Shalini, K.H. Girish, V.S. Hegde and B.K. Purandara. 36. Identification of potable groundwater zones in and around Madurai region using remote sensing and GIS techniques/A. John Peter, S. Chidambaram, M.V. Prasanna, K. Balaji, R. Ramesh, U. Karmegam, P. Paramaguru and S. Pethaperumal. 37. Geo-statistical analysis to interpret major controls on groundwater chemistry in a hard rock terrain Tamil Nadu, India/K. Srinivasamoorthy, S. Chidambaram, M. Vasanthavigar and K. Vijayaragavan. 38. Groundwater budgeting using GIS in a part of Pondicherry/K. Vijayaragavan, S. Chidambaram, M.V. Prasanna, K. Anandavel, S. Pethaperumal and A. John Peter.

"Hyperspectral imaging is an emerging modern technique in remote sensing that expands and improves capability of multispectral image analysis. It takes advantage of hundreds of continuous spectral channels to uncover materials that usually cannot be resolved by multispectral sensors. This book is a collection of research papers of Indian scientists working in the field of hyperspectral remote sensing and spectral signature applications. This has been organized in a way that all the chapters are logically connected and can be referred back and forth one another for more details. The title of Hyperspectral Remote Sensing and Spectral Signature Applications is used to reflect its focus on spectral techniques, i.e. non-literal techniques that are especially designed and developed for hyperspectral imagery rather than multispectral imagery. This book covers the following themes.

 Hyperspectral remote sensing concept and recent development. 
Spectral reflectance measurement.
Hyperspectral signature and its applications to rock, mineral, snow, crop, vegetation, urban, coastal and environmental resources.
Hyperspectral signature database and data mining.
Mineral resources exploration using modern hyperspectral tools.
Spectroscopy and FTIR.
Hyperspectral tools application for multispectral image analysis.
Geostatistal analysis.
Geographical Information System (GIS). "