Urban Remote Sensing

Здесь есть возможность читать онлайн «Urban Remote Sensing» — ознакомительный отрывок электронной книги совершенно бесплатно, а после прочтения отрывка купить полную версию. В некоторых случаях можно слушать аудио, скачать через торрент в формате fb2 и присутствует краткое содержание. Жанр: unrecognised, на английском языке. Описание произведения, (предисловие) а так же отзывы посетителей доступны на портале библиотеки ЛибКат.

Urban Remote Sensing: краткое содержание, описание и аннотация

Предлагаем к чтению аннотацию, описание, краткое содержание или предисловие (зависит от того, что написал сам автор книги «Urban Remote Sensing»). Если вы не нашли необходимую информацию о книге — напишите в комментариях, мы постараемся отыскать её.

The second edition of 
 is a state-of-the-art review of the latest progress in the subject. The text examines how evolving innovations in remote sensing allow to deliver the critical information on cities in a timely and cost-effective way to support various urban management activities and the scientific research on urban morphology, socio-environmental dynamics, and sustainability. 
Chapters are written by leading scholars from a variety of disciplines including remote sensing, GIS, geography, urban planning, environmental science, and sustainability science, with case studies predominately drawn from North America and Europe. 
A review of the essential and emerging research areas in urban remote sensing including sensors, techniques, and applications, especially some critical issues that are shifting the directions in urban remote sensing research. Illustrated in full color throughout, including numerous relevant case studies and extensive discussions of important concepts and cutting-edge technologies to enable clearer understanding for non-technical audiences. 
 will be of particular interest to upper-division undergraduate and graduate students, researchers and professionals working in the fields of remote sensing, geospatial information, and urban & environmental planning.

Urban Remote Sensing — читать онлайн ознакомительный отрывок

Ниже представлен текст книги, разбитый по страницам. Система сохранения места последней прочитанной страницы, позволяет с удобством читать онлайн бесплатно книгу «Urban Remote Sensing», без необходимости каждый раз заново искать на чём Вы остановились. Поставьте закладку, и сможете в любой момент перейти на страницу, на которой закончили чтение.

Тёмная тема
Сбросить

Интервал:

Закладка:

Сделать

Qingsong SunQingsong Sun received his PhD from Boston University, USA. He worked on the Black Marble project when he was a Postdoctoral Research Fellow at the University of Massachusetts, Boston. He is working in the Land Data Operational Products Evaluation group at NASA’s Goddard Space Flight Center. His research interest centers on MODIS/VIIRS land product quality assessment. The objective of land products quality assessment is to evaluate and document the scientific quality of the land products with respect to their intended performance.

Hannes TaubenböckHannes Taubenböck received his diploma in Geography from the Ludwig‐Maximilians‐Universität München (Germany) in 2004, and the PhD from the Julius Maximilians‐Universität Würzburg (Germany) in 2008. In 2005, he joined the German Remote Sensing Data Center (DFD), German Aerospace Center (DLR). After a Postdoctoral Research Phase with the University of Würzburg (2007–2010), he returned to DLR–DFD in 2010. In 2013, he became the Head of the “City and Society” team. In 2019, he habilitated at the University of Würzburg in Geography. His current research focuses on remote sensing and big data analyses for urban geography.

Jinyan TianJinyan Tian is a Lecturer of Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing, China. His research interests include remote sensing of vegetation mapping and forest parameters inversion. He was an investigator for over projects funded by the National Natural Science Foundations of China. He authored or coauthored over 5 patents and 15 papers.

Jamon Van Den HoekJamon Van Den Hoek is an Associate Professor of Geography at Oregon State University where he leads the Conflict Ecology lab. His research seeks new insights on the agency, decision‐making processes, and survival of refugees, internally displaced peoples, and others affected by violent conflict. He maps settlements, forests, and farms using satellite data to connect patterns of long‐term landscape change to processes of conflict, displacement, resilience, and peace. He was a NASA Postdoctoral Fellow at NASA Goddard Space Flight Center, and completed his PhD in Geography at the University of Wisconsin‐Madison where he was a National Science Foundation IGERT Fellow.

Sebastian van der LindenSebastian van der Linden is a Professor for earth observation and geoinformation science at the Institute for Geography and Geology of the University of Greifswald, Germany. He holds an MSc in Environmental Sciences and PhD in Geography. His main research interest lies in the application of machine learning with optical remote sensing data for a better understanding of land surface processes, especially in the field of imaging spectroscopy and multispectral time series analysis. He is PI for the EnMAP‐Box development, a toolbox for Earth observation data analysis in QGIS.

Keli WangKeli Wang is a doctoral student of Geographic Information Science at Peking University, Beijing, China. Her research interest centers on spatial epidemiology and spatial interaction. Her research has been published in peer‐reviewed journals.

Le WangLe Wang is a Professor of Geography at the State University of New York at Buffalo. He got his PhD from the University of California at Berkeley. His research interests focus on remote sensing of coastal mangrove forests, invasive species, and urban environments. He was the chair of the AAG Remote Sensing Specialty Group (2015–2017), and currently an associate editor of the International Journal of Remote Sensing, a guest editor for the journal “ Remote Sensing of Environment, ” an editorial board member of the journal “ Annals of the American Association of Geographers .” As of today, he has published more than 90 referred journal articles, which have been cited 4800 times on Google Scholar. His work has been funded by NSF, USDA, and USGS.

Zhuosen WangZhuosen Wang is an Assistant Research Scientist at the University of Maryland College Park and NASA Goddard Space Flight Center. He is a science team member of the NASA MODIS and VIIRS Land Discipline team. He coleads the CEOS Land Product Validation Subgroup Surface Radiation/Albedo Product Validation focus area and serves as Chair of IEEE Geoscience & Remote Sensing Society (Washington D.C./ Northern Virginia Chapter). His research interests include monitoring energy services and human activities using Suomi‐NPP VIIRS day/night band and modeling and evaluation of land surface anisotropic characteristics and albedo.

Eric WeberEric Weber is a Research Scientist at Oak Ridge National Laboratory (ORNL), USA. His research focuses on the application of remote sensing and associated built‐environment data for spatiotemporal mapping and characterization of human populations, including the development of bottom‐up models that minimize reliance on national census data for mapping populations. He currently leads the development of LandScan USA, a high‐resolution gridded model of day and night populations in the USA.

Tzai‐Hung WenTzai‐Hung Wen is a Professor of Geography at National Taiwan University, Taiwan. His academic career focuses on developing geospatial computational methods to improve the understanding of public health and the urban environment. His major original articles are published in Scientific Reports, Annals of the American Association of Geographers, International Journal of Health Geographics, and Applied Geography . He currently serves as the Chairman of Chinese Cartographic Association, the Editor‐in‐Chief of Journal of Population Studies, and Associate Editor of BMC Public Health .

Man S. WongMan S. Wong is an Associate Professor of Remote Sensing and GIS in the Department of Land Surveying and Geo‐Informatics at the Hong Kong Polytechnic University. His research focuses on the use of remote sensing to study urban heat island effect, urban environmental quality, landslides, vegetation and ecosystems, spectral mixture analysis, aerosol retrieval, air quality, and dust storm monitoring. He authored or coauthored more than 100 peer‐reviewed journal articles since 2005.

Zhifeng WuZhifeng Wu is a Professor and Dean of the School of Geography and Remote Sensing at the Guangzhou University, Guangzhou, China. His research interests include urban remote sensing, terrestrial remote sensing, environmental GIS, and spatiotemporal data analysis, and monitoring of natural resources. He authored or coauthored over 140 articles. He is a Vice‐Chair of the International Association of Landscape Ecology‐China (IALE‐China).

Yong XuYong Xu is an Associate Professor in the School of Geography and Remote Sensing, Guangzhou University, China. He specializes in remote sensing and spatial analysis applied in the urban environment. He is the author or a coauthor for over 20 referred journal articles and three patents. He was a winner for the International Data Fusion Contest Award sponsored by the IEEE Geoscience and Remote Sensing Society in 2017.

Jinxin YangJinxin Yang is a Lecturer in the School of Geography and Remote Sensing at the Guangzhou University, Guangzhou, China. She received her PhD from the Hong Kong Polytechnic University in 2017. Her research interest centers on thermal remote sensing, surface energy balance, and urban climate. She authored or coauthored over 10 articles.

Kai‐Ling YangKai‐Ling Yang is an undergraduate student in the Department of Geography at the National Taiwan University, Taiwan. Her research interests include spatial data analysis, environmental remote sensing, and geolocated data clustering. She achieved the College Student Research Scholarship, and her current research study is to establish a modeling framework to capture and analyze the spatial patterns of geotagged photos on Instagram.

Читать дальше
Тёмная тема
Сбросить

Интервал:

Закладка:

Сделать

Похожие книги на «Urban Remote Sensing»

Представляем Вашему вниманию похожие книги на «Urban Remote Sensing» списком для выбора. Мы отобрали схожую по названию и смыслу литературу в надежде предоставить читателям больше вариантов отыскать новые, интересные, ещё непрочитанные произведения.


Отзывы о книге «Urban Remote Sensing»

Обсуждение, отзывы о книге «Urban Remote Sensing» и просто собственные мнения читателей. Оставьте ваши комментарии, напишите, что Вы думаете о произведении, его смысле или главных героях. Укажите что конкретно понравилось, а что нет, и почему Вы так считаете.

x