{"product_id":"radar-remote-sensing-applications-and-challenges-paperback-9780128234570","title":"Radar Remote Sensing; Applications and Challenges (Paperback) 9780128234570","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eRadar Remote Sensing\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eApplications and Challenges\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003eA multidisciplinary volume on the theories, applications and challenges in observing the Earth using different types of radar remote sensing\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003ePrashant K. Srivastava (Edited by), Dileep Kumar Gupta (Edited by), Tanvir Islam (Edited by), Dawei Han (Edited by), Rajendra Prasad (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780128234570, Elsevier Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback, published 1 September 2022\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e484 pages, 100 illustrations (50 in full color)\u003cbr\u003e23.4 x 19 x 3 cm, 0.97 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003ci\u003eRadar Remote Sensing: Applications and Challenges\u003c\/i\u003e advances the scientific understanding, development, and application of radar remote sensing using monostatic, bistatic and multi-static radar geometry. This multidisciplinary reference pulls together a collection of the recent developments and applications of radar remote sensing using different radar geometry and platforms at local, regional and global levels.  \u003c\/p\u003e  \u003cp\u003eRadar Remote Sensing is for researchers and practitioners with earth and environmental and meteorological sciences, who are interested in radar remote sensing in ground based scatterometer and SAR systems; air borne scatterometer and SAR systems; space borne scatterometer and SAR systems.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eECTION 1: Basis of Radar Remote sensing \u003c\/b\u003e1. Introduction to radar remote sensing 2. Microwave Component and Devices for Radar Systems 3. Theory of monostatic, and bistatic radar systems 4. Review of Microwave fundamentals and its applications\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSECTION 2: Conventional methods for radar remote sensing 5. Comparative flood area analysis based on Change Detection and Binarization methods using Sentinel-1 SAR data  6. Identification of Sub-surface features using L-band SAR data in Jaisalmer, India 7. Terrestrial Water Budget Through Radar Remote Sensing 8. Application of SAR Remote Sensing in Forestry 9. Classification of Radar data using Bayesian optimized 2D-CNN  10. Modeling and Simulation of SAR Dataset for retrieval of soil surface parameters 11. Flood inundation mapping from SAR and optical data using support vector machine: a case study from kopili river basin during Amphan cyclone 12. Performance assessment of Phased Array type L-band Synthetic Aperture Radar and Landsat-8 used in image classification 13. Evaluation of Speckle Filtering Methods Using Polarimetric Sentinel-1A Data\u003c\/p\u003e\n\u003cb\u003e \u003c\/b\u003e\u003cp\u003eSECTION 3: Advanced methods for radar remote sensing 14. Emerging Techniques of Polarimetric Interferometric SAR for Scattering-based Characterization  15. Advanced Method for Radar Remote Sensing: Circularly Polarized Synthetic Aperture Radar 16. A processing chain for estimating crop biophysical parameters using multi-temporal Sentinel-1 SAR data in cloud computing framework 17. Fuzzy logic for the retrieval of kidney bean crop growth variables using ground based scatterometer measurements  18. Monitoring Tropical Peatlands Subsidence by Time-Series InSAR Technique 19. Towards a North American continental wetland map from space: Wetland classification using satellite imagery and machine learning algorithms on Google Earth Engine\u003c\/p\u003e\n\u003cb\u003e \u003c\/b\u003e\u003cp\u003eSECTION 4: Future challenges in radar remote sensing 20. Addressing various challenges involved in radar remote sensing of soil moisture 21. The Study of ISRO’s Ku-band based Scatterometer Satellite (SCATSAT-1) in Agriculture: Applications and Challenges 22. Radar Remote Sensing: Challenges and future prospect\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Geophysics [\u003ca title=\"See our other books on Geophysics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Geophysics%20%5BPHVG%5D%22\"\u003ePHVG\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Elsevier","offers":[{"title":"Default Title","offer_id":46650305020184,"sku":"9780128234570","price":112.79,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780128234570.jpg?v=1694107368","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/radar-remote-sensing-applications-and-challenges-paperback-9780128234570","provider":"Freshly Printed Books","version":"1.0","type":"link"}