Remote sensing of natural resources:
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Boca Raton
CRC Press
2014
|
| Schriftenreihe: | Remote sensing applications series
9 |
| Schlagworte: | |
| Online-Zugang: | DE-91 Volltext |
| Beschreibung: | "Highlighting new technologies, Remote Sensing of Natural Resources explores advanced remote sensing systems and algorithms for image processing, enhancement, feature extraction, data fusion, image classification, image-based modeling, image-based sampling design, map accuracy assessment and quality control. It also discusses their applications for evaluation of natural resources, including sampling design, land use and land cover classification, natural landscape and ecosystem assessment, forestry, agriculture, biomass and carbon-cycle modeling, wetland classification and dynamics monitoring, and soils and minerals mapping. The book combines review articles with case studies that demonstrate recent advances and developments of methods, techniques, and applications of remote sensing, with each chapter on a specific area of natural resources. Through a comprehensive examination of the wide range of applications of remote sensing technologies to natural resources, the book provides insight into advanced remote sensing systems, technologies, and algorithms for researchers, scientists, engineers, and decision makers"-- "Introduction to Remote Sensing of Natural Resources Guangxing Wang and Qihao Weng Aims and Scope This book focuses on remote sensing systems, algorithms, and their applications for evaluation of natural resources, especially in the areas of sampling design, land use and land cover (LULC) characterization and classification, natural landscape and ecosystem assessment, forestry and agriculture mapping, biomass and carbon cycle modeling, wetland classification and dynamics monitoring, and soils and minerals mapping. It combines review articles with case studies that demonstrate recent advances and developments of methods, techniques, and applications of remote sensing, with each chapter on a specific area of natural resources. This book aims at providing undergraduate and graduate students with a focused text or a supplementary text for whom the principles of remote sensing, digital image processing, or remote sensing applications is a course to be taken. It may also be useful for researchers, scientists, engineers, and decision makers in the area of geospatial technology and/or its applications to natural resources as a reference text. Synopsis of the Book This book consists of 7 sections and a total of 26 chapters. The seven sections are remote sensing systems; sampling design and product quality assessment; land use and land cover classification; natural landscape, ecosystems, and forestry; agriculture; biomass and carbon cycle modeling; and wetland, soils, and minerals. In Section I, following an introduction to the basic principle of remote sensing, Weng presented an overall review of various remote sensors including electro-optical sensors, thermal infrared sensors, passive microwave and imaging radar sensors, and LiDAR (light detection and ranging)"-- Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 1466556935 9781466556935 |
Internformat
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| 500 | |a "Highlighting new technologies, Remote Sensing of Natural Resources explores advanced remote sensing systems and algorithms for image processing, enhancement, feature extraction, data fusion, image classification, image-based modeling, image-based sampling design, map accuracy assessment and quality control. It also discusses their applications for evaluation of natural resources, including sampling design, land use and land cover classification, natural landscape and ecosystem assessment, forestry, agriculture, biomass and carbon-cycle modeling, wetland classification and dynamics monitoring, and soils and minerals mapping. The book combines review articles with case studies that demonstrate recent advances and developments of methods, techniques, and applications of remote sensing, with each chapter on a specific area of natural resources. Through a comprehensive examination of the wide range of applications of remote sensing technologies to natural resources, the book provides insight into advanced remote sensing systems, technologies, and algorithms for researchers, scientists, engineers, and decision makers"-- | ||
| 500 | |a "Introduction to Remote Sensing of Natural Resources Guangxing Wang and Qihao Weng Aims and Scope This book focuses on remote sensing systems, algorithms, and their applications for evaluation of natural resources, especially in the areas of sampling design, land use and land cover (LULC) characterization and classification, natural landscape and ecosystem assessment, forestry and agriculture mapping, biomass and carbon cycle modeling, wetland classification and dynamics monitoring, and soils and minerals mapping. It combines review articles with case studies that demonstrate recent advances and developments of methods, techniques, and applications of remote sensing, with each chapter on a specific area of natural resources. This book aims at providing undergraduate and graduate students with a focused text or a supplementary text for whom the principles of remote sensing, digital image processing, or remote sensing applications is a course to be taken. It may also be useful for researchers, scientists, engineers, and decision makers in the area of geospatial technology and/or its applications to natural resources as a reference text. Synopsis of the Book This book consists of 7 sections and a total of 26 chapters. The seven sections are remote sensing systems; sampling design and product quality assessment; land use and land cover classification; natural landscape, ecosystems, and forestry; agriculture; biomass and carbon cycle modeling; and wetland, soils, and minerals. In Section I, following an introduction to the basic principle of remote sensing, Weng presented an overall review of various remote sensors including electro-optical sensors, thermal infrared sensors, passive microwave and imaging radar sensors, and LiDAR (light detection and ranging)"-- | ||
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| illustrated | Not Illustrated |
| indexdate | 2024-10-14T14:11:18Z |
| institution | BVB |
| isbn | 1466556935 9781466556935 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027018671 |
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| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource |
| psigel | ZDB-4-NLEBK ZDB-4-NLEBK TUM_PDA_EBSCO_BAE_gekauft |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | CRC Press |
| record_format | marc |
| series | Remote sensing applications series |
| series2 | Remote sensing applications series |
| spelling | Remote sensing of natural resources ed. by Guangxing Wang ... Boca Raton CRC Press 2014 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Remote sensing applications series 9 "Highlighting new technologies, Remote Sensing of Natural Resources explores advanced remote sensing systems and algorithms for image processing, enhancement, feature extraction, data fusion, image classification, image-based modeling, image-based sampling design, map accuracy assessment and quality control. It also discusses their applications for evaluation of natural resources, including sampling design, land use and land cover classification, natural landscape and ecosystem assessment, forestry, agriculture, biomass and carbon-cycle modeling, wetland classification and dynamics monitoring, and soils and minerals mapping. The book combines review articles with case studies that demonstrate recent advances and developments of methods, techniques, and applications of remote sensing, with each chapter on a specific area of natural resources. Through a comprehensive examination of the wide range of applications of remote sensing technologies to natural resources, the book provides insight into advanced remote sensing systems, technologies, and algorithms for researchers, scientists, engineers, and decision makers"-- "Introduction to Remote Sensing of Natural Resources Guangxing Wang and Qihao Weng Aims and Scope This book focuses on remote sensing systems, algorithms, and their applications for evaluation of natural resources, especially in the areas of sampling design, land use and land cover (LULC) characterization and classification, natural landscape and ecosystem assessment, forestry and agriculture mapping, biomass and carbon cycle modeling, wetland classification and dynamics monitoring, and soils and minerals mapping. It combines review articles with case studies that demonstrate recent advances and developments of methods, techniques, and applications of remote sensing, with each chapter on a specific area of natural resources. This book aims at providing undergraduate and graduate students with a focused text or a supplementary text for whom the principles of remote sensing, digital image processing, or remote sensing applications is a course to be taken. It may also be useful for researchers, scientists, engineers, and decision makers in the area of geospatial technology and/or its applications to natural resources as a reference text. Synopsis of the Book This book consists of 7 sections and a total of 26 chapters. The seven sections are remote sensing systems; sampling design and product quality assessment; land use and land cover classification; natural landscape, ecosystems, and forestry; agriculture; biomass and carbon cycle modeling; and wetland, soils, and minerals. In Section I, following an introduction to the basic principle of remote sensing, Weng presented an overall review of various remote sensors including electro-optical sensors, thermal infrared sensors, passive microwave and imaging radar sensors, and LiDAR (light detection and ranging)"-- Includes bibliographical references and index NATURE / Environmental Conservation & Protection bisacsh TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems bisacsh BUSINESS & ECONOMICS / Environmental Economics bisacsh BUSINESS & ECONOMICS / Green Business bisacsh NATURE / Natural Resources bisacsh Wirtschaft Remote sensing Natural resources / Remote sensing Natürliche Ressourcen (DE-588)4075236-7 gnd rswk-swf Umweltveränderung (DE-588)4304982-5 gnd rswk-swf Lidar (DE-588)4167607-5 gnd rswk-swf Rohstoffreserve (DE-588)4425009-5 gnd rswk-swf Umweltüberwachung (DE-588)4278451-7 gnd rswk-swf Luftbildauswertung (DE-588)4139867-1 gnd rswk-swf Fernerkundung (DE-588)4016796-3 gnd rswk-swf Ökosystemmanagement (DE-588)7675980-5 gnd rswk-swf Satellitenfernerkundung (DE-588)4224344-0 gnd rswk-swf Laserscanner (DE-588)4419104-2 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Rohstoffreserve (DE-588)4425009-5 s Fernerkundung (DE-588)4016796-3 s DE-604 Laserscanner (DE-588)4419104-2 s Lidar (DE-588)4167607-5 s Ökosystemmanagement (DE-588)7675980-5 s Natürliche Ressourcen (DE-588)4075236-7 s Umweltüberwachung (DE-588)4278451-7 s Umweltveränderung (DE-588)4304982-5 s Satellitenfernerkundung (DE-588)4224344-0 s Luftbildauswertung (DE-588)4139867-1 s Wang, Guangxing Sonstige oth Erscheint auch als Druck-Ausgabe, Hardcover 1-4665-5692-7 Erscheint auch als Druck-Ausgabe, Hardcover 978-1-4665-5692-8 Remote sensing applications series 9 (DE-604)BV040124006 9 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=607746 Aggregator Volltext |
| spellingShingle | Remote sensing of natural resources Remote sensing applications series NATURE / Environmental Conservation & Protection bisacsh TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems bisacsh BUSINESS & ECONOMICS / Environmental Economics bisacsh BUSINESS & ECONOMICS / Green Business bisacsh NATURE / Natural Resources bisacsh Wirtschaft Remote sensing Natural resources / Remote sensing Natürliche Ressourcen (DE-588)4075236-7 gnd Umweltveränderung (DE-588)4304982-5 gnd Lidar (DE-588)4167607-5 gnd Rohstoffreserve (DE-588)4425009-5 gnd Umweltüberwachung (DE-588)4278451-7 gnd Luftbildauswertung (DE-588)4139867-1 gnd Fernerkundung (DE-588)4016796-3 gnd Ökosystemmanagement (DE-588)7675980-5 gnd Satellitenfernerkundung (DE-588)4224344-0 gnd Laserscanner (DE-588)4419104-2 gnd |
| subject_GND | (DE-588)4075236-7 (DE-588)4304982-5 (DE-588)4167607-5 (DE-588)4425009-5 (DE-588)4278451-7 (DE-588)4139867-1 (DE-588)4016796-3 (DE-588)7675980-5 (DE-588)4224344-0 (DE-588)4419104-2 (DE-588)4143413-4 |
| title | Remote sensing of natural resources |
| title_auth | Remote sensing of natural resources |
| title_exact_search | Remote sensing of natural resources |
| title_full | Remote sensing of natural resources ed. by Guangxing Wang ... |
| title_fullStr | Remote sensing of natural resources ed. by Guangxing Wang ... |
| title_full_unstemmed | Remote sensing of natural resources ed. by Guangxing Wang ... |
| title_short | Remote sensing of natural resources |
| title_sort | remote sensing of natural resources |
| topic | NATURE / Environmental Conservation & Protection bisacsh TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems bisacsh BUSINESS & ECONOMICS / Environmental Economics bisacsh BUSINESS & ECONOMICS / Green Business bisacsh NATURE / Natural Resources bisacsh Wirtschaft Remote sensing Natural resources / Remote sensing Natürliche Ressourcen (DE-588)4075236-7 gnd Umweltveränderung (DE-588)4304982-5 gnd Lidar (DE-588)4167607-5 gnd Rohstoffreserve (DE-588)4425009-5 gnd Umweltüberwachung (DE-588)4278451-7 gnd Luftbildauswertung (DE-588)4139867-1 gnd Fernerkundung (DE-588)4016796-3 gnd Ökosystemmanagement (DE-588)7675980-5 gnd Satellitenfernerkundung (DE-588)4224344-0 gnd Laserscanner (DE-588)4419104-2 gnd |
| topic_facet | NATURE / Environmental Conservation & Protection TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems BUSINESS & ECONOMICS / Environmental Economics BUSINESS & ECONOMICS / Green Business NATURE / Natural Resources Wirtschaft Remote sensing Natural resources / Remote sensing Natürliche Ressourcen Umweltveränderung Lidar Rohstoffreserve Umweltüberwachung Luftbildauswertung Fernerkundung Ökosystemmanagement Satellitenfernerkundung Laserscanner Aufsatzsammlung |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=607746 |
| volume_link | (DE-604)BV040124006 |
| work_keys_str_mv | AT wangguangxing remotesensingofnaturalresources |