Deciphering Landscape Drivers and Signatures in Tectonically Active Landscapes Using Google Earth Imagery, Remote Sensing, and Cosmogenic Radionuclides PDF Download
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Author: George Burch Fisher Publisher: ISBN: 9781303731082 Category : Languages : en Pages : 178
Book Description
Understanding how the surface of the Earth records and responds to various climatic, tectonic, erosive, and biotic forcings is at the heart of the geomorphology discipline and requires complex topographic, numerical, and geochemical toolsets to test and evolve current axioms. Google Earth has revolutionized the way people interact with high-spatial resolution imagery across Earth and the solar system, yet has remained largely underutilized to date for making quantitative measurements of landscape form and function. Examples of such utility and potential caveats are demonstrated for quantifying hillslope mass wasting events in Haiti, strike-slip offsets in the eastern California shear zone, and channel planform geometry in the tectonically active Himalaya. More detailed analysis comparing channel widths from Google Earth using the ChanGeom extraction methodology, as developed in this study, with field- and lidar-derived datasets attests to the quality and utility of such methods and provides key information about channel response to tectonic forcings across a host of regimes. Lastly, accurate channel widths are utilized in the Himalaya to derive erosion proxies based on specific stream power estimates and are compared with 60 cosmogenic radionuclide derived erosion rates in the western Himalaya. Within the complex interactions among surface processes, precipitation gradients, and relict topography in the Himalaya, these data indicate that tectonic deformation emerges as the dominant driver of landscape form at the centennial to millennial timescale.
Author: George Burch Fisher Publisher: ISBN: 9781303731082 Category : Languages : en Pages : 178
Book Description
Understanding how the surface of the Earth records and responds to various climatic, tectonic, erosive, and biotic forcings is at the heart of the geomorphology discipline and requires complex topographic, numerical, and geochemical toolsets to test and evolve current axioms. Google Earth has revolutionized the way people interact with high-spatial resolution imagery across Earth and the solar system, yet has remained largely underutilized to date for making quantitative measurements of landscape form and function. Examples of such utility and potential caveats are demonstrated for quantifying hillslope mass wasting events in Haiti, strike-slip offsets in the eastern California shear zone, and channel planform geometry in the tectonically active Himalaya. More detailed analysis comparing channel widths from Google Earth using the ChanGeom extraction methodology, as developed in this study, with field- and lidar-derived datasets attests to the quality and utility of such methods and provides key information about channel response to tectonic forcings across a host of regimes. Lastly, accurate channel widths are utilized in the Himalaya to derive erosion proxies based on specific stream power estimates and are compared with 60 cosmogenic radionuclide derived erosion rates in the western Himalaya. Within the complex interactions among surface processes, precipitation gradients, and relict topography in the Himalaya, these data indicate that tectonic deformation emerges as the dominant driver of landscape form at the centennial to millennial timescale.
Author: Jeffrey A. Cardille Publisher: Springer Nature ISBN: 3031265882 Category : Science Languages : en Pages : 1210
Book Description
This book guides its audience—which can range from novice users to experts— though a 55-chapter tour of Google Earth Engine. A sequenced and diverse set of lab materials, this is the product of more than a year of effort from more than a hundred individuals, collecting new exercises from professors, undergraduates, master’s students, PhD students, postdocs, and independent consultants. Cloud Based Remote Sensing with Google Earth Engine is broadly organized into two halves. The first half, Fundamentals, is a set of 31 labs designed to take the reader from being a complete Earth Engine novice to being a quite advanced user. The second half, Applications, presents a tour of the world of Earth Engine across 24 chapters, showing how it is used in a very wide variety of settings that rely on remote-sensing data This is an open access book.
Author: Gary L. Prost Publisher: CRC Press ISBN: 1466561742 Category : Science Languages : en Pages : 704
Book Description
This third edition of the bestselling Remote Sensing for Geologists: A Guide to Image Interpretation is now titled Remote Sensing for Geoscientists: Image Analysis and Integration. The title change reflects that this edition applies to a broad spectrum of geosciences, not just geology; stresses that remote sensing has become more than photointerpretation; and emphasizes integration of multiple remote sensing technologies to solve Earth science problems. The text reviews systems and applications, explains what to look for when analyzing imagery, and provides abundant case histories to illustrate the integration and application of these tools. See What’s New in the Second Edition: Broader coverage to include integration of multiple remote sensing technologies Expanded with significant new illustrations in color and reviews of new satellites and sensors Analysis of imagery for geobotanical remote sensing, remote geochemistry, modern analogs to ancient environments, and astrogeology The book covers how to initiate a project, including determining the objective, choosingthe right tools, and selecting imagery. It describes techniques used in geologic mapping and mineral and hydrocarbon exploration, image analysis used in mine development and petroleum exploitation, site evaluation, groundwaterdevelopment, surface water monitoring, geothermal resource exploitation, and logistics. It also demonstrates how imageryis used to establish environmental baselines; monitor land, air, and water quality; maphazards; and determine the effects of global warming. The many examples of geologic mapping on other planets and the moon highlight how to analyze planetary surface processes, map stratigraphy, and locate resources. The book then examines remote sensing and the public, geographic information systems and Google Earth, and how imagery is used by the media, in the legal system, in public relations, and by individuals. Readers should come away with a good understanding of what is involved in image analysis and interpretation and should be ableto recognize and identify geologic features of interest. Having read this book, they should be able to effectively use imagery in petroleum, mining, groundwater, surface water, engineering, and environmental projects.
Author: Gary L. Prost Publisher: CRC Press ISBN: 9789057026294 Category : Technology & Engineering Languages : en Pages : 458
Book Description
A guide to image interpretation, this book contains detailed color plates and tables that compare satellite imaging systems, list remote sensing web sites, and detail photointerpretation equipment. It includes case histories of the search for petroleum and mineral deposits and examines engineering uses of remote sensing. The volume comprises four sections: project initiation; exploration techniques; exploitation and engineering remote sensing; and environmental concerns. They combine to provide readers with a solid foundation of what image interpretation is and enables them to recognize features of interest and effectively use imagery in projects for the petroleum, mining, or groundwater industries.
Author: Weitao Chen Publisher: Springer Nature ISBN: 9819989973 Category : Computers Languages : en Pages : 240
Book Description
This book presents the theories and methods for geology intelligent interpretation based on deep learning and remote sensing technologies. The main research subjects of this book include lithology and mineral abundance. This book focuses on the following five aspects: 1. Construction of geology remote sensing datasets from multi-level (pixel-level, scene-level, semantic segmentation-level, prior knowledge-assisted, transfer learning dataset), which are the basis of geology interpretation based on deep learning. 2. Research on lithology scene classification based on deep learning, prior knowledge, and remote sensing. 3. Research on lithology semantic segmentation based on deep learning and remote sensing. 4. Research on lithology classification based on transfer learning and remote sensing. 5. Research on inversion of mineral abundance based on the sparse unmixing theory and hyperspectral remote sensing. The book is intended for undergraduate and graduate students who are interested in geology, remote sensing, and artificial intelligence. It is also used as a reference book for scientific and technological personnel of geological exploration.
Author: Stephen A. Drury Publisher: ISBN: Category : Nature Languages : en Pages : 220
Book Description
Entertaining yet serious, this text examines every facet of the Earth's surface: the ocean depths, paths of hurricanes, the productivity of forests and farms, where mineral riches lie, the damage that we humans do and the tragedy of nature's own catastrophes.
Author: Salvatore Piro Publisher: Springer ISBN: 9783662521786 Category : Languages : en Pages : 248
Book Description
This book details the processes needed to take raw Ground Penetrating Radar (GPR) data all the way to the construction of subsurface images. It introduces advanced imaging solutions and shows numerous worldwide site case histories."
Author: Peter M. Atkinson Publisher: John Wiley & Sons ISBN: Category : Science Languages : en Pages : 300
Book Description
An authoritative and state-of-the-art book bringing together some of the most recent developments in remote sensing and GIS analysis with a particular emphasis on mathematical techniques and their applications. With contributions from academia, industry and research institutes, all with a high standing, this book covers a range of techniques including: fuzzy classification, artificial neural networks, geostatistical techniques (such as kriging, cokriging, stochastic simulation and regularization, texture classification, fractals, per-parcel classification, raster and vector data integration and process modelling. The range of applications includes land cover and land use mapping, cloud tracking, snow cover mapping and air temperature monitoring, topographic mapping, geological classification and soil erosion modelling. This book will be valuable to both researchers and advanced students of remote sensing and GIS. It contains several new approaches, recent developments, and novel applications of existing techniques. Most chapters report the results of experiment and investigation. Some chapters form broad reviews of recent developments in the field. In all cases, the mathematical basis is fully explained.
Author: Publisher: ISBN: Category : Languages : en Pages : 239
Book Description
This dissertation characterizes factors influencing nutrient export from forested landscapes using satellite multispectral remote sensing and imaging spectroscopy. The chief objective is to identify drivers of water quality by investigating relationships among landscape-scale physiographic, climatologic and biophysical variables. Chapter 1 develops regional-scale indicators of water quality using hypertemporal remote sensing data (MODIS) for the state of Wisconsin. The approach generates an algorithm to predict water quality across years using MODIS-derived inputs, with the ability to predict future years as data become available. Chapter 2 utilizes MODIS data to predict nitrate-nitrogen loads from forested components of catchments in the Chesapeake Bay watershed on a near-continuous-time basis. This study makes novel use of functional concurrent linear models to integrate temporal variation in environmental factors into the analyses and provide insights into both the timing and magnitude of potential drivers of changes in water quality. Chapter 3 focuses on the development of generalizable algorithms to map canopy foliar traits across space and time using imaging spectroscopy data obtained from NASA's AVIRIS sensor. In this study, I develop calibrations for the determination of leaf chemical composition (nitrogen, carbon, and fiber constituents) and morphology (leaf mass per area) of temperate and boreal tree species using imaging spectroscopy. This chapter also demonstrates techniques to explicitly propagate uncertainties from the leaf to the image scale. Chapter 4 employs a structural equation modeling approach to assess the relative influences of foliar biochemistry, derived from imaging spectroscopy, watershed physiography and human land use patterns on water quality in watersheds across the Upper Midwestern United States. Overall, the approaches developed in this research may help spatially target development and restoration policies towards building more resilient landscapes, especially with respect to water quality. This study demonstrates that recent advances in satellite and airborne imaging technologies enhance our ability to understand landscape-level processes associated with water quality, and that we can develop more standardized and accessible data sets for use by a broader audience of managers and stakeholders.
Author: George Burch Fisher
Author: George Burch Fisher
Author: Jeffrey A. Cardille
Author: Gary L. Prost
Author: Gary L. Prost
Author: Weitao Chen
Author: Gary L. Prost
Author: Stephen A. Drury
Author: Salvatore Piro
Author: Peter M. Atkinson
Author: