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Land Use Land Cover Classification And Change Analysis By Multitemporal Remote Sensing Data
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Book Synopsis Land Use/land Cover Classification and Change Analysis by Multitemporal Remote Sensing Data by : Nor Ashifah Hamzah
Download or read book Land Use/land Cover Classification and Change Analysis by Multitemporal Remote Sensing Data written by Nor Ashifah Hamzah and published by . This book was released on 2015 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: Kuantan is a one largest district in Pahang. Kuantan have rapid development in every aspect. By using Multi-temporal satellite images and application of remote sensing and GIS for land use and land cover change detection were used. The main challenge in land use and land cover changes using the remote sensing data which how to provide the accurate and timely geospatial information. The production of thematic map from this classification by using an image classification is one of the most common way application of remote sensing. This research briefly reviews the background, methods of accuracy assessment that commonly used and recommended in the research literature.This research also for to access the accuracy of multi-temporal classification and change detection. Process that involve in this research are selection data satellite, data correction, classification process, accuracy assessmen.
Book Synopsis Remote Sensing of Land Use and Land Cover by : Chandra P. Giri
Download or read book Remote Sensing of Land Use and Land Cover written by Chandra P. Giri and published by CRC Press. This book was released on 2016-04-19 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: Filling the need for a comprehensive book that covers both theory and application, Remote Sensing of Land Use and Land Cover: Principles and Applications provides a synopsis of how remote sensing can be used for land-cover characterization, mapping, and monitoring from the local to the global scale. With contributions by leading scientists from aro
Book Synopsis Improving Large Area Land Cover Classification Using Multi-temporal Remote Sensing Data by : W. Olthof
Download or read book Improving Large Area Land Cover Classification Using Multi-temporal Remote Sensing Data written by W. Olthof and published by . This book was released on 2012 with total page 79 pages. Available in PDF, EPUB and Kindle. Book excerpt: Land cover is described in other studies as the (bio)physical cover of the Earth’s surface and includes vegetated areas, artificial areas, bare areas and water bodies. Land cover is prone to changes due to anthropogenic activities and natural processes. These changes influence climate, e.g. by their effect on emissions of CO2 and other greenhouse gases and changes in carbon storage capacity. Therefore, accurate and continuous information on land cover is needed on a global scale. User requirements analysis conducted by the Climate Change Initiative Land Cover consortium (CCI-LC) proved that current land cover products derived from remotely sensed data are lacking accuracy and consistency. These issues often arise due to the inability of the input data to capture temporal dynamics by using a limited time span. Furthermore, land cover changes are often not taken into account in current classification approaches. This research aims to improve current classification approaches by investigating 1) how time series parameters, e.g. phenological metrics, can be extracted from multi-temporal MERIS data and 2) how these can be utilized for classification purposes. Furthermore, a comparison was made between classification results with and without these parameters in order 3) to determine to what extent these influence the classification result. In addition, given the fact that vegetation is highly dynamic, another goal of this study was to investigate 4) how temporally stable locations can be separated from unstable areas in order to ultimately limit classification to the stable period within a time series. The use of phenological metrics was emphasized during this study in order to include vegetation dynamics in the classification approach. During this study an operational method was developed to extract phenological metrics from MTCI and NDVI time series which were successfully used for land cover classification. The use of this method seems to increase the overall accuracy of the classification results and has the potential to be used on a large scale. In addition, an explorative study was conducted on the separation of temporary land cover change from permanent land cover change. This resulted in a fast method that may be effectively added to the classification process and applied on a larger scale.
Book Synopsis Remote Sensing Change Detection by : Ross S. Lunetta
Download or read book Remote Sensing Change Detection written by Ross S. Lunetta and published by CRC Press. This book was released on 2000-03-01 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text provides coverage of the fundamentals, the techniques, and the demonstrated results of a variety of projects in a manner accessible to both the novice and the advanced user of remotely sensed data.
Book Synopsis Analysis Of Multi-temporal Remote Sensing Images, Proceedings Of The Second International Workshop On The Multitemp 2003 by : Paul C Smits
Download or read book Analysis Of Multi-temporal Remote Sensing Images, Proceedings Of The Second International Workshop On The Multitemp 2003 written by Paul C Smits and published by World Scientific. This book was released on 2004-08-10 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of effective methodologies for the analysis of multi-temporal data is one of the most important and challenging issues that the remote sensing community will face in the coming years. Its importance and timeliness are directly related to the ever-increasing quantity of multi-temporal data provided by the numerous remote sensing satellites that orbit our planet. The synergistic use of multi-temporal remote sensing data and advanced analysis methodologies results in the possibility of solving complex problems related to the monitoring of the Earth's surface and atmosphere at different scales. However, the advances in the methodologies for the analysis of multi-temporal data have been significantly under-illuminated with respect to other remote sensing data analysis topics. In addition, the link between the end-users' needs and the scientific community needs to be strengthened.This volume of proceedings contains 43 contributions from researchers representing academia, industry and governmental organizations. It is organized into three thematic sections: Image Analysis and Algorithms; Analysis of Synthetic Aperture Radar Data; Monitoring and Management of Resources.
Book Synopsis Historical Land Use/Land Cover Classification Using Remote Sensing by : Wafi Al-Fares
Download or read book Historical Land Use/Land Cover Classification Using Remote Sensing written by Wafi Al-Fares and published by Springer Science & Business Media. This book was released on 2013-06-25 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the development of remote sensing techniques focuses greatly on construction of new sensors with higher spatial and spectral resolution, it is advisable to also use data of older sensors (especially, the LANDSAT-mission) when the historical mapping of land use/land cover and monitoring of their dynamics are needed. Using data from LANDSAT missions as well as from Terra (ASTER) Sensors, the authors shows in his book maps of historical land cover changes with a focus on agricultural irrigation projects. The kernel of this study was whether, how and to what extent applying the various remotely sensed data that were used here, would be an effective approach to classify the historical and current land use/land cover, to monitor the dynamics of land use/land cover during the last four decades, to map the development of the irrigation areas, and to classify the major strategic winter- and summer-irrigated agricultural crops in the study area of the Euphrates River Basin.
Book Synopsis Multitemporal Remote Sensing by : Yifang Ban
Download or read book Multitemporal Remote Sensing written by Yifang Ban and published by Springer. This book was released on 2016-12-01 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by world renowned scientists, this book provides an excellent overview of a wide array of methods and techniques for the processing and analysis of multitemporal remotely sensed images. These methods and techniques include change detection, multitemporal data fusion, coarse-resolution time series processing, and interferometric SAR multitemporal processing, among others. A broad range of multitemporal datasets are used in their methodology demonstrations and application examples, including multispectral, hyperspectral, SAR and passive microwave data. This book features a variety of application examples covering both land and aquatic environments. Land applications include urban, agriculture, habitat disturbance, vegetation dynamics, soil moisture, land surface albedo, land surface temperature, glacier and disaster recovery. Aquatic applications include monitoring water quality, water surface areas and water fluctuation in wetland areas, spatial distribution patterns and temporal fluctuation trends of global land surface water, as well as evaluation of water quality in several coastal and marine environments. This book will help scientists, practitioners, students gain a greater understanding of how multitemporal remote sensing could be effectively used to monitor our changing planet at local, regional, and global scales.
Book Synopsis Operational Monitoring of Land-cover Change Using Multitemporal Remote Sensing Data by : John Rogan
Download or read book Operational Monitoring of Land-cover Change Using Multitemporal Remote Sensing Data written by John Rogan and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Land Use and Land Cover Classification System for Use with Remote Sensor Data by : James Richard Anderson
Download or read book A Land Use and Land Cover Classification System for Use with Remote Sensor Data written by James Richard Anderson and published by . This book was released on 1976 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Accounting for Water Use and Productivity by : David Molden
Download or read book Accounting for Water Use and Productivity written by David Molden and published by IWMI. This book was released on 1997 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper presents a conceptual framework for water accounting and provides generic terminologies and procedures to describe the status of water resource use and consequences of water resources related actions. The framework applies to water resource use at three levels of analysis: a use level such as an irrigated field or household, a service level such as an irrigation or water supply system, and a water basin level that may include several uses. Water accounting terminology and performance indicators are developed and presented with examples at all the three levels. Concepts and terminologies presented are developed to be supportive in a number of activities including: identification of opportunities for water savings and increasing water productivity; developing a better understanding of present patterns of water use and impacts of interventions; improving communication among professionals and communication to non-water professionals; and improving the rationale for allocation of water among uses. It is expected that with further application, these water accounting concepts will evolve into a robust, supporting methodology for water basin analysis.
Book Synopsis Advances in Remote Sensing and Geo Informatics Applications by : Hesham M. El-Askary
Download or read book Advances in Remote Sensing and Geo Informatics Applications written by Hesham M. El-Askary and published by Springer. This book was released on 2018-12-29 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume is based on the best papers accepted for presentation during the 1st Springer Conference of the Arabian Journal of Geosciences (CAJG-1), Tunisia 2018. The book compiles a wide range of topics addressing various issues by experienced researchers mainly from research institutes in the Mediterranean, MENA region, North America and Asia. Remote sensing observations can close gaps in information scarcity by complementing ground-based sparse data. Spatial, spectral, temporal and radiometric characteristics of satellites sensors are most suitable for features identification. The local to global nature and broad spatial scale of remote sensing with the wide range of spectral coverage are essential characteristics, which make satellites an ideal platform for mapping, observation, monitoring, assessing and providing necessary mitigation measures and control for different related Earth's systems processes. Main topics in this book include: Geo-informatics Applications, Land Use / Land Cover Mapping and Change Detection, Emerging Remote Sensing Applications, Rock Formations / Soil Lithology Mapping, Vegetation Mapping Impact and Assessment, Natural Hazards Mapping and Assessment, Ground Water Mapping and Assessment, Coastal Management of Marine Environment and Atmospheric Sensing.
Book Synopsis Key Methods in Geography by : Nicholas Clifford
Download or read book Key Methods in Geography written by Nicholas Clifford and published by SAGE Publications. This book was released on 2010-05-30 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Its range is far broader than the majority of methods texts, being concerned with both human and physical geography... Given the seriousness with which Key Methods in Geography approaches all aspects of research, it will continue to find wide favour among undergraduate geographers." - Times Higher Education Textbook Guide "All geographers, whatever their interest, need to do research. This book will help them get started in the best possible way, with thoughtful advice on everything from project design, through choice of methods, to data analysis and presentation. The editors have assembled an impressive array of authors, all experts in their chosen field." - Tim Burt, University of Durham "Excellent book. Valuable teaching aid. Well written and covers a wide range of methods thoroughly." - Sue Rodway-Dyer, Exeter University "This is an excellent book and deals with a number of topics (which I teach) outside of the tutorial module where it is a recommended text for geographers. A very useful textbook throughout a 3 year Geography programme." - Ian Harris, Bangor University Key Methods in Geography is an introduction to the principal methodological issues involved in the collection, analysis and presentation of geographical information. It is unique in the reference literature for providing an overview of qualitative and quantitative methods for human and physical geography. An accessible primer, it will be used by students as a reference throughout their degree, on all issues from research design to presentation. This second edition has been fully revised and updated and includes new chapters on internet mediated research, diaries as a research method, making observations and measurements in the field, and the analysis of natural systems. Organized into four sections: Getting Started in Geographical Research; Generating and Working with Data in Human Geography; Generating and Working with Data in Physical Geography; Representing and Interpreting Geographical Data; each chapter comprises: A short definition A summary of the principal arguments A substantive 5,000-word discussion Use of real-life examples Annotated notes for further reading. The teaching of research methods is integral to all geography courses: Key Methods in Geography, 2nd Edition explains all of the key methods with which geography undergraduates must be conversant.
Book Synopsis Land Cover Classification of Remotely Sensed Images by : S. Jenicka
Download or read book Land Cover Classification of Remotely Sensed Images written by S. Jenicka and published by Springer Nature. This book was released on 2021-03-10 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book introduces two domains namely Remote Sensing and Digital Image Processing. It discusses remote sensing, texture, classifiers, and procedures for performing the texture-based segmentation and land cover classification. The first chapter discusses the important terminologies in remote sensing, basics of land cover classification, types of remotely sensed images and their characteristics. The second chapter introduces the texture and a detailed literature survey citing papers related to texture analysis and image processing. The third chapter describes basic texture models for gray level images and multivariate texture models for color or remotely sensed images with relevant Matlab source codes. The fourth chapter focuses on texture-based classification and texture-based segmentation. The Matlab source codes for performing supervised texture based segmentation using basic texture models and minimum distance classifier are listed. The fifth chapter describes supervised and unsupervised classifiers. The experimental results obtained using a basic texture model (Uniform Local Binary Pattern) with the classifiers described earlier are discussed through the relevant Matlab source codes. The sixth chapter describes land cover classification procedure using multivariate (statistical and spectral) texture models and minimum distance classifier with Matlab source codes. A few performance metrics are also explained. The seventh chapter explains how texture based segmentation and land cover classification are performed using the hidden Markov model with relevant Matlab source codes. The eighth chapter gives an overview of spatial data analysis and other existing land cover classification methods. The ninth chapter addresses the research issues and challenges associated with land cover classification using textural approaches. This book is useful for undergraduates in Computer Science and Civil Engineering and postgraduates who plan to do research or project work in digital image processing. The book can serve as a guide to those who narrow down their research to processing remotely sensed images. It addresses a wide range of texture models and classifiers. The book not only guides but aids the reader in implementing the concepts through the Matlab source codes listed. In short, the book will be a valuable resource for growing academicians to gain expertise in their area of specialization and students who aim at gaining in-depth knowledge through practical implementations. The exercises given under texture based segmentation (excluding land cover classification exercises) can serve as lab exercises for the undergraduate students who learn texture based image processing.
Author :National Land Use Land Cover Mapping Usivg Multi-temporal Satellite Data Publisher : ISBN 13 : Total Pages :125 pages Book Rating :4.:/5 (974 download)
Book Synopsis National Land Use Land Cover Mapping Usivg Multi-temporal Satellite Data by : National Land Use Land Cover Mapping Usivg Multi-temporal Satellite Data
Download or read book National Land Use Land Cover Mapping Usivg Multi-temporal Satellite Data written by National Land Use Land Cover Mapping Usivg Multi-temporal Satellite Data and published by . This book was released on 2006 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Analysis Of Multi-temporal Remote Sensing Images - Proceedings Of The First International Workshop On Multitemp 2001 by : Lorenzo Bruzzone
Download or read book Analysis Of Multi-temporal Remote Sensing Images - Proceedings Of The First International Workshop On Multitemp 2001 written by Lorenzo Bruzzone and published by World Scientific. This book was released on 2002-07-12 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of effective methodologies for the analysis of multi-temporal data is one of the most important and challenging issues that the remote sensing community will face in the next few years. The relevance and timeliness of this issue are directly related to the ever-increasing quantity of multi-temporal data provided by the numerous remote sensing satellites that orbit our planet. The synergistic use of multi-temporal remote sensing data and advanced analysis methodologies results in the possibility of solving complex problems related to the monitoring of the Earth's surface and atmosphere.This book brings together the methodological aspects of multi-temporal remote sensing image analysis, real applications and end-user requirements, presenting the state of the art in this field and contributing to the definition of common research priorities. Researchers and graduate students in the fields of remote sensing, image analysis, and environmental monitoring will appreciate the interdisciplinary approach thanks to the articles written by experts from different scientific communities.
Book Synopsis Land Use and Cover Change by : Ram Babu Singh
Download or read book Land Use and Cover Change written by Ram Babu Singh and published by . This book was released on 2001 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text aims to promote a better understanding of land use and land-cover change in the assessment and management of global environmental resources, and to develop a comparative framework for assessing these changes.
Book Synopsis Advances in Remote Sensing for Global Forest Monitoring by : Erkki Tomppo
Download or read book Advances in Remote Sensing for Global Forest Monitoring written by Erkki Tomppo and published by MDPI. This book was released on 2021-09-01 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: The topics of the book cover forest parameter estimation, methods to assess land cover and change, forest disturbances and degradation, and forest soil drought estimations. Airborne laser scanner data, aerial images, as well as data from passive and active sensors of different spatial, spectral and temporal resolutions have been utilized. Parametric and non-parametric methods including machine and deep learning methods have been employed. Uncertainty estimation is a key topic in each study. In total, 15 articles are included, of which one is a review article dealing with methods employed in remote sensing aided greenhouse gas inventories, and one is the Editorial summary presenting a short review of each article.
