2 edition of Remote sensing of semi-arid terrain found in the catalog.
Remote sensing of semi-arid terrain
R. J. Stone
Published
1985
by University of Durham, Department of Geography in Durham
.
Written in
Edition Notes
Statement | R. J. Stone. |
Series | Graduate discussion paper -- No. 8 |
Contributions | University of Durham. Department of Geography. |
The Physical Object | |
---|---|
Pagination | 33 p. : |
Number of Pages | 33 |
ID Numbers | |
Open Library | OL13961081M |
The only reference on the use of GIS and related technologies in terrain analysis In this landmark publication, reflecting the collaborative effort of thirteen research groups based in four countries, leading experts detail how GIS and related technologies, such as GPS and remote sensing, are now being used, with the aid of computer modeling, in terrain analysis.5/5(1). Advanced Remote Sensing is an application-based reference that provides a single source of mathematical concepts necessary for remote sensing data gathering and assimilation. It presents state-of-the-art techniques for estimating land surface variables from a variety of data types, including optical sensors such as RADAR and LIDAR.
Remote sensing has undergone profound changes over the past two decades as GPS, GIS, and sensor advances have significantly expanded the user community and availability of images. New tools, such as automation, cloud-based services, drones, and artificial intelligence, continue to expand and enhance the . Books shelved as remote-sensing: Remote Sensing Digital Image Analysis: An Introduction by John A. Richards, Remote Sensing and GIS by Basudeb Bhatta, Ph.
Few studies have examined the influence of land use and terrain on the surface temperature effects of semi-arid mountainous urban areas. This study investigates the urban environment characterization and its effects on surface temperature using remote sensing. A methodology to identify soil degradation stages using remote sensing in semi-arid environments. Poster presentation in the Third International Congress Man and Soil at the Third Millenium, Valencia, Spain, 28 March-1 April, Koch, M., Blanco-Ward, D., and El-Baz, F. (). Characterizing active wadi channels in arid lands by linear.
Once a wicked lady
The Little Book of Eastern Wisdom
His educational theories selected from Emile, Julie and other writings
Mollier(h-s) chart for steam(SI units)
Cheap excuses
philosophy of Ludwig Feuerbach.
great duties of life
H.R. 3405, Strengthening the Ownership of Private Property Act of 2005 (STOPP)
Managing livingtime.
Romeyn de Hooghe
The Thomas township test target: an example of EM interpretation using simple models. by James C. Macnae and P. Walker
Microelectronics, International Competition and Development Strategies
Century of Christianity in Uganda, 1877-1977
American Political Biographies
Basic principles of Biblical counseling
Battle File.
Book Detail: Remote Sensing & GIS Applications Remote sensing and GIS techniques can be used for generating development plans for the watershed area in consonance with the production potential and limitation of terrain resources, and can also be used for assessing the impact of these measures before actual implementation in the field.
Language: English. Remote sensing—the acquisition of information from a distance—has had a profound impact on human affairs in modern history.
This image of British Beach (the WWII code name for one landing spot of the June Normandy invasion) taken from a specially equipped US Army F5, reveals rifle troops on the beach coming in from various large and small landing craft. Remote Sensing of Geomorphology, Vol discusses the new range of remote-sensing techniques (lidar, structure from motion photogrammetry, advanced satellite platforms) that has led to a dramatic increase in terrain information, and as such provided new opportunities for a better understanding of surface morphology and related Earth surface processes.
Remote sensing is the study of a region from a distance, particularly from an airplane or a spacecraft. It is a tool that can be used in conjunction with other methods of research and investigation.
This tool is especially applicable to the study of the deserts and arid lands of the Earth because of their immense size and their inaccessibility to detailed study by conventional means. Remote sensing offers an important tool to assess, monitor, and manage such resources and their changes.
This Special Issue seeks to compile the latest development in the field of remote sensing technology, algorithm development and Remote sensing of semi-arid terrain book specifically addressing issues affecting arid/semiarid lands.
Microwave Remote Sensing of Soil Moisture in Semi-arid Environment. By A. Azad Hossain and Greg Easson. from 1 mm to 1 m. RADAR is an active sensor, transmitting a signal of electromagnetic energy, illuminating the terrain, and recording or measuring the response returned from the target or surface.
Suggest a book topic Books open. Remote sensing is the study of a region from a distance, particularly from an airplane or a spacecraft. In this book examples are given of the utility of aerial photographs and space images in the study of semi-arid, arid, and hyper-arid terrains.
Remote Sensing REMOTE SENSING Remote sensing is the science of gathering information from a location that is distant from the data source. Image analysis is the science of interpreting specific criteria from a remotely sensed image.
An individual may visually, or with the assistance of computer enhancement, extract information from an. This book presents the latest advances in remote-sensing and geographic information systems and applications.
It is divided into four parts, focusing on Airborne Light Detection and Ranging (LiDAR) an. Effects of point cloud density, interpolation method and grid size on derived Digital Terrain Model accuracy at micro topography level.
Agüera-Vega et al. Published online: 18 Jun Mapping plastic-mulched farmland by coupling optical and synthetic aperture radar remote sensing. Hasituya, Chen Zhongxin, Li Fei & Hu Yuncai.
Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object and thus in contrast to on-site observation, especially the Earth. Remote sensing is used in numerous fields, including geography, land surveying and most Earth science disciplines (for example, hydrology, ecology, meteorology, oceanography, glaciology, geology); it.
Remote sensing data integrated with advanced machine learning algorithms serve as a cost-efficient alternative to in situ data collection at numerous spatial and temporal scales. Numerous models can be proposed to effectively monitor problems with a special focus on the conservation and management of water resources.
The only reference on the use of GIS and related technologies in terrain analysis In this landmark publication, reflecting the collaborative effort of thirteen research groups based in four countries, leading experts detail how GIS and related technologies, such as GPS and remote sensing, are now being used, with the aid of computer modeling, in terrain analysis.
The book is an invitation to rethink processing routines in place for Earth observation data. As such, the intended readers of the book are remote sensing experts being new to command line processing or having already some experience with this technology.
Remote sensing in geology is remote sensing used in the geological sciences as a data acquisition method complementary to field observation, because it allows mapping of geological characteristics of regions without physical contact with the areas being explored.
About one-fourth of the Earth's total surface area is exposed land where information is ready to be extracted from detailed earth. Remote Sensing of the Environment 2. Electromagnetic Radiation Principles 3. History of Aerial Photography and Aerial Platforms 4.
Aerial Photography - Vantage Point, Cameras, Filters, and Film 5. Elements of Visual Image Interpretation 6. Photogrammetry 7. Multispectral Remote Sensing Systems 8. Thermal Infrared Remote Sensing 9. In current study, based on rGIS-ET v, a regional ET model, by adding module of adjusting surface temperature in terrain, solar radiance terrain correction, and shaded relief, we improved the rGIS-ET a remote sensing model on ArcGIS platform for mapping ET distribution in such a semi-arid.
Remote sensing, a noncontact method of acquiring data or information about an object, area, or phenomenon, is now a well-established technique applied extensively in mapping, monitoring, environmental research, and decision and policy making at local, regional, and global scales.
The noncontact nature of this technique has unique advantages. LiDAR or Light Detection and Ranging is an active remote sensing system that can be used to measure vegetation height across wide page will introduce fundamental LiDAR (or lidar) concepts including: What LiDAR data are.
The key attributes of LiDAR data. How LiDAR data are. Review The use of remote sensing in soil and terrain mapping — A review V.L. Muldera,⁎, S. de Bruina, M.E.
Schaepmana,b, T.R. Mayrc a Laboratory of Geo-Information Science and Remote sensing, Wageningen University, Droevendaalsesteeg 3, P.O. AA Wageningen, The Netherlands b Remote Sensing Laboratories, University of Zürich, WinterthurerstrasseZürich, Switzerland.
Remote sensing is the study of a region from a distance, particularly from an airplane or a spacecraft. In this book examples are given of the utility of aerial photographs and space images in the study of semi-arid, arid, and hyper-arid terrains. Emphasis is placed on the physical features and terrain types using examples from around.
The development of unmanned aerial vehicle (UAV) remote sensing with low-altitude level has the characteristics of high spatial resolution, frequency and .Aerial and space remote sensing provide valuable tools for desertification studies, although, as for any other natural hazard related study, they must be combined with ground-collected data.
The use of remote sensing methods should minimize the need for ground data, therefore saving time and resulting quite inexpensive per unit of data.