Pixel Problems
Author | : Warren E. Grabau |
Publisher | : |
Total Pages | : 94 |
Release | : 1976 |
Genre | : Aerial photogrammetry |
ISBN | : |
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Author | : Warren E. Grabau |
Publisher | : |
Total Pages | : 94 |
Release | : 1976 |
Genre | : Aerial photogrammetry |
ISBN | : |
Author | : Pradeep Wagle |
Publisher | : MDPI |
Total Pages | : 240 |
Release | : 2019-10-11 |
Genre | : Technology & Engineering |
ISBN | : 3039216023 |
Evapotranspiration (ET) is a critical component of the water and energy balances, and the number of remote sensing-based ET products and estimation methods has increased in recent years. Various aspects of remote sensing of ET are reported in the 11 papers published in this book. The major research areas covered by this book include inter-comparison and performance evaluation of widely used one- and two-source energy balance models, a new dual-source model (Soil Plant Atmosphere and Remote Sensing Evapotranspiration, SPARSE), and a process-based model (ETMonitor); assessment of multi-source (e.g., remote sensing, reanalysis, and land surface model) ET products; development or improvement of data fusion frameworks to predict continuous daily ET at a high spatial resolution (field-scale or 30 m) by fusing the advanced spaceborne thermal emission reflectance radiometer (ASTER), the moderate resolution imaging spectroradiometer (MODIS), and Landsat data; and investigating uncertainties in ET estimates using an ET ensemble composed of several land surface models and diagnostic datasets. The effects of the differences between ET products on water resources and ecosystem management were also investigated. More accurate ET estimates and improved understanding of remotely sensed ET products are crucial for maximizing crop productivity while minimizing water losses and management costs.
Author | : Shunlin Liang |
Publisher | : Elsevier |
Total Pages | : 3183 |
Release | : 2017-11-08 |
Genre | : Science |
ISBN | : 0128032219 |
Comprehensive Remote Sensing, Nine Volume Set covers all aspects of the topic, with each volume edited by well-known scientists and contributed to by frontier researchers. It is a comprehensive resource that will benefit both students and researchers who want to further their understanding in this discipline. The field of remote sensing has quadrupled in size in the past two decades, and increasingly draws in individuals working in a diverse set of disciplines ranging from geographers, oceanographers, and meteorologists, to physicists and computer scientists. Researchers from a variety of backgrounds are now accessing remote sensing data, creating an urgent need for a one-stop reference work that can comprehensively document the development of remote sensing, from the basic principles, modeling and practical algorithms, to various applications. Fully comprehensive coverage of this rapidly growing discipline, giving readers a detailed overview of all aspects of Remote Sensing principles and applications Contains ‘Layered content’, with each article beginning with the basics and then moving on to more complex concepts Ideal for advanced undergraduates and academic researchers Includes case studies that illustrate the practical application of remote sensing principles, further enhancing understanding
Author | : Qi Wang |
Publisher | : MDPI |
Total Pages | : 426 |
Release | : 2019-09-30 |
Genre | : Computers |
ISBN | : 3038976849 |
With the recent advances in remote sensing technologies for Earth observation, many different remote sensors are collecting data with distinctive properties. The obtained data are so large and complex that analyzing them manually becomes impractical or even impossible. Therefore, understanding remote sensing images effectively, in connection with physics, has been the primary concern of the remote sensing research community in recent years. For this purpose, machine learning is thought to be a promising technique because it can make the system learn to improve itself. With this distinctive characteristic, the algorithms will be more adaptive, automatic, and intelligent. This book introduces some of the most challenging issues of machine learning in the field of remote sensing, and the latest advanced technologies developed for different applications. It integrates with multi-source/multi-temporal/multi-scale data, and mainly focuses on learning to understand remote sensing images. Particularly, it presents many more effective techniques based on the popular concepts of deep learning and big data to reach new heights of data understanding. Through reporting recent advances in the machine learning approaches towards analyzing and understanding remote sensing images, this book can help readers become more familiar with knowledge frontier and foster an increased interest in this field.
Author | : National Research Council |
Publisher | : National Academies Press |
Total Pages | : 266 |
Release | : 1998-05-21 |
Genre | : Science |
ISBN | : 0309174368 |
Space-based sensors are giving us an ever-closer and more comprehensive look at the earth's surface; they also have the potential to tell us about human activity. This volume examines the possibilities for using remote sensing technology to improve understanding of social processes and human-environment interactions. Examples include deforestation and regrowth in Brazil, population-environment interactions in Thailand, ancient and modern rural development in Guatemala, and urbanization in the United States, as well as early warnings of famine and disease outbreaks. The book also provides information on current sources of remotely sensed data and metadata and discusses what is involved in establishing effective collaborative efforts between scientists working with remote sensing technology and those working on social and environmental issues.
Author | : |
Publisher | : |
Total Pages | : 206 |
Release | : 1988 |
Genre | : Estuarine ecology |
ISBN | : |
Author | : Ph.D., Prasad S. Thenkabail |
Publisher | : CRC Press |
Total Pages | : 698 |
Release | : 2015-10-02 |
Genre | : Technology & Engineering |
ISBN | : 1482217872 |
A volume in the Remote Sensing Handbook series, Remotely Sensed Data Characterization, Classification, and Accuracies documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Land Resources Monitoring, Modeling, and Mapping with Remote Sensing, and Remote Sensing of
Author | : Xueming Chen |
Publisher | : Springer Nature |
Total Pages | : 161 |
Release | : |
Genre | : |
ISBN | : 9819756855 |
Author | : |
Publisher | : |
Total Pages | : 666 |
Release | : 1998 |
Genre | : Biodiversity |
ISBN | : |
Author | : Zarine Kemp |
Publisher | : CRC Press |
Total Pages | : 316 |
Release | : 1997-04-11 |
Genre | : Technology & Engineering |
ISBN | : 9780748406562 |
Derived from presentations made at the fourth annual UK National Conference on GIS Research, this work consists of contributions by leading experts in: geography, mathematics, computing science, surveying, archaeology, planning and medicine.