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Book Use of High Spatial Resolution Remote Sensing and GHS for Soil Erosion Modelling

Download or read book Use of High Spatial Resolution Remote Sensing and GHS for Soil Erosion Modelling written by Nadeem Hashem and published by . This book was released on 2002 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Use of High Spatial Resolution Remote Sensing and GIS for Soil erosion Modelling

Download or read book Use of High Spatial Resolution Remote Sensing and GIS for Soil erosion Modelling written by Nadeem Hashem and published by . This book was released on 2002 with total page 778 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Use of High Spatial Resolution Remote Sensing and GPS for Soil Erosion Modelling

Download or read book Use of High Spatial Resolution Remote Sensing and GPS for Soil Erosion Modelling written by Nadeem Hashem and published by . This book was released on 2002 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Spatial Techniques for Soil Erosion Estimation

Download or read book Spatial Techniques for Soil Erosion Estimation written by Rupesh Jayaram Patil and published by Springer. This book was released on 2018-02-06 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a novel computation of the topographic LS factor of the USLE model to estimate spatial soil erosion. In developing countries, soil erosion is one of the main concerns as it adversely affects agriculture and reduces food production. Therefore, the author presents a particularly relevant approach, as he demonstrates how the C++ programming allows us to identify important erosion stages like detachment and deposition. He does this by assessing the annual rate of soil erosion from the Shakkar River watershed in India using distributed information and applying RS and GIS techniques. He also discusses different approaches that have been proposed to work out the influence of topography on erosion. Simulated and observed data of sediment loss are compared for the period 1992 to 2006.This book provides an easy-to-understand basic piece of soil erosion and hydrological research and reaches out to young researchers and students at the graduate and undergraduate level as well as applicants of soil erosion models.

Book Environmental Modelling with GIS and Remote Sensing

Download or read book Environmental Modelling with GIS and Remote Sensing written by Andrew Skidmore and published by CRC Press. This book was released on 2017-08-11 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most government agencies and private companies are investing significant resources in the production and use of geographical data. The capabilities of Geographical Information Systems (GIS) for data analysis are also improving, to the extent that the potential performance of GIS software and the data available for analysis outstrip the abilities of

Book Remote Sensing of Soil and Land Surface Processes

Download or read book Remote Sensing of Soil and Land Surface Processes written by Assefa M. Melesse and published by Elsevier. This book was released on 2023-10-31 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote Sensing of Soil and Land Surface Processes: Monitoring, Mapping, and Modeling couples artificial intelligence and remote sensing for mapping and modeling natural resources, thus expanding the applicability of AI and machine learning for soils and landscape studies and providing a hybridized approach that also increases the accuracy of image analysis. The book covers topics including digital soil mapping, satellite land surface imagery, assessment of land degradation, and deep learning networks and their applicability to land surface processes and natural hazards, including case studies and real life examples where appropriate. This book offers postgraduates, researchers and academics the latest techniques in remote sensing and geoinformation technologies to monitor soil and surface processes. ? Introduces object-based concepts and applications, enhancing monitoring capabilities and increasing the accuracy of mapping ? Couples artificial intelligence and remote sensing for mapping and modeling natural resources, expanding the applicability of AI and machine learning for soils and sediment studies ? Includes the use of new sensors and their applications to soils and sediment characterization ???????? Includes case studies from a variety of geographical areas

Book Advances in Remote Sensing and GIS Analysis

Download or read book Advances in Remote Sensing and GIS Analysis written by Peter M. Atkinson and published by John Wiley & Sons. This book was released on 1999-09-09 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Assimilation of Remote Sensing Data into Earth System Models

Download or read book Assimilation of Remote Sensing Data into Earth System Models written by Jean-Christophe Calvet and published by MDPI. This book was released on 2019-11-20 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the Earth sciences, a transition is currently occurring in multiple fields towards an integrated Earth system approach, with applications including numerical weather prediction, hydrological forecasting, climate impact studies, ocean dynamics estimation and monitoring, and carbon cycle monitoring. These approaches rely on coupled modeling techniques using Earth system models that account for an increased level of complexity of the processes and interactions between atmosphere, ocean, sea ice, and terrestrial surfaces. A crucial component of Earth system approaches is the development of coupled data assimilation of satellite observations to ensure consistent initialization at the interface between the different subsystems. Going towards strongly coupled data assimilation involving all Earth system components is a subject of active research. A lot of progress is being made in the ocean–atmosphere domain, but also over land. As atmospheric models now tend to address subkilometric scales, assimilating high spatial resolution satellite data in the land surface models used in atmospheric models is critical. This evolution is also challenging for hydrological modeling. This book gathers papers reporting research on various aspects of coupled data assimilation in Earth system models. It includes contributions presenting recent progress in ocean–atmosphere, land–atmosphere, and soil–vegetation data assimilation.

Book Remote Sensing and Water Resources

Download or read book Remote Sensing and Water Resources written by A. Cazenave and published by Springer. This book was released on 2016-05-04 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of overview articles showing how space-based observations, combined with hydrological modeling, have considerably improved our knowledge of the continental water cycle and its sensitivity to climate change. Two main issues are highlighted: (1) the use in combination of space observations for monitoring water storage changes in river basins worldwide, and (2) the use of space data in hydrological modeling either through data assimilation or as external constraints. The water resources aspect is also addressed, as well as the impacts of direct anthropogenic forcing on land hydrology (e.g. ground water depletion, dam building on rivers, crop irrigation, changes in land use and agricultural practices, etc.). Remote sensing observations offer important new information on this important topic as well, which is highly useful for achieving water management objectives.Over the past 15 years, remote sensing techniques have increasingly demonstrated their capability to monitor components of the water balance of large river basins on time scales ranging from months to decades: satellite altimetry routinely monitors water level changes in large rivers, lakes and floodplains. When combined with satellite imagery, this technique can also measure surface water volume variations. Passive and active microwave sensors offer important information on soil moisture (e.g. the SMOS mission) as well as wetlands and snowpack. The GRACE space gravity mission offers, for the first time, the possibility of directly measuring spatio-temporal variations in the total vertically integrated terrestrial water storage. When combined with other space observations (e.g. from satellite altimetry and SMOS) or model estimates of surface waters and soil moisture, space gravity data can effectively measure groundwater storage variations. New satellite missions, planned for the coming years, will complement the constellation of satellites monitoring waters on land. This is particularly the case for the SWOT mission, which is expected to revolutionize land surface hydrology. Previously published in Surveys in Geophysics, Volume 37, No. 2, 2016

Book Soil Erosion Modelling Using Remote Sensing and GIS

Download or read book Soil Erosion Modelling Using Remote Sensing and GIS written by Vipul Shinde and published by LAP Lambert Academic Publishing. This book was released on 2014-06-25 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main thought of this work is to recommend the method of estimating soil erosion and prioritization of watersheds where data availability is major concern. In these circumstances, the use latest technologies such as remote sensing and GIS plays crucial role. The main advantages of these technologies are that, it provides accurate information and that to from any part of the area under investigation. This work was carried out by author for fulfillment of M.Tech degree from IIT Kharagpur, INDIA. The study mainly focuses on application of most widely used Universal Soil Loss Equation (USLE) to predict soil erosion hazard in the Upper Damodar Valley Catchment (UDVC) of India. Micro-watershed wise soil loss was estimated and prioritization of micro watersheds was done with the help of annual average R factor obtained from 9 years rainfall data. Other factors viz. K, LS and CP were used for this analysis. The treatment plan for controlling soil erosion is also suggested at micro watershed level. Remote sensing and GIS techniques were applied to prepare various layers of USLE parameters which interactively estimate soil erosion at micro watershed level.

Book Handbook of Erosion Modelling

Download or read book Handbook of Erosion Modelling written by R. P. C. Morgan and published by John Wiley & Sons. This book was released on 2016-04-13 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: The movement of sediment and associated pollutants over thelandscape and into water bodies is of increasing concern withrespect to pollution control, prevention of muddy floods andenvironmental protection. In addition, the loss of soil on site hasimplications for declining agricultural productivity, loss ofbiodiversity and decreased amenity and landscape value. The fate ofsediment and the conservation of soil are important issues for landmanagers and decision-makers. In developing appropriate policiesand solutions, managers and researchers are making greater use oferosion models to characterise the processes of erosion and theirinteraction with the landscape. A study of erosion requires one to think in terms ofmicroseconds to understand the mechanics of impact of a singleraindrop on a soil surface, while landscapes form over periods ofthousands of years. These processes operate on scales ofmillimetres for single raindrops to mega-metres for continents.Erosion modelling thus covers quite a lot of ground. This bookintroduces the conceptual and mathematical frameworks used toformulate models of soil erosion and uses case studies to show howmodels are applied to a variety of purposes at a range of spatialand temporal scales. The aim is to provide land managers and otherswith the tools required to select a model appropriate to the typeand scale of erosion problem, to show what users can expect interms of accuracy of model predictions and to provide anappreciation of both the advantages and limitations of models.Problems covered include those arising from agriculture, theconstruction industry, pollution and climatic change and range inscale from farms to small and large catchments. The book will alsobe useful to students and research scientists as an up-to-datereview of the state-of-art of erosion modelling and, through aknowledge of how models are used in practice, in highlighting thegaps in knowledge that need to be filled in order to develop evenbetter models.

Book Remote Sensing for Characterization of Geohazards and Natural Resources

Download or read book Remote Sensing for Characterization of Geohazards and Natural Resources written by Estelle Chaussard and published by Springer Nature. This book was released on 2024 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides insights from a geoscientist’s perspective into the benefits and the potential of remote sensing methods to address problems with a high social impact: identifying the drivers of geohazards and developing new methods for monitoring natural resources. The fields covered include volcanic hazards, seismic hazards, landslide hazards, land subsidence hazards and monitoring of natural resources through the use and combination of various remote sensing techniques and modelling approaches. This book should spark collaborations and encourage readers to think beyond disciplines or techniques, as well as enable readers to build their own workflow depending on their study of interest. It provides a much-needed comprehensive review of recent advances that remote sensing methods have brought to geohazards and resources research. It is unique in the way that it unifies geohazards and natural resources research to highlight cross-field advancements and potential areas for multiple fields of science to collaborate. The book intends to provide both a basic understanding of the remote sensing methods used in geohazards and natural resources sciences, with appropriate referencing for readers wishing to further their technique-specific learning, and a detailed application of these methods to a variety of sustainability problems. It aims at providing the reader with workflows for combining multiple techniques with demonstrated results in a variety of disciplines. This approach makes the book useful for both students learning about geohazards and resources, learning about remote sensing methods, and for researchers intending to expand their skill set using methods that have been applied to other fields. This book provides an introduction to each remote sensing method with references for in-depth technical learning which will benefit students in Remote Sensing courses.

Book Advanced Tools for Studying Soil Erosion Processes

Download or read book Advanced Tools for Studying Soil Erosion Processes written by Hamid Reza Pourghasemi and published by Elsevier. This book was released on 2024-08-17 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Tools for Studying Soil Erosion Processes: Erosion Modelling, Soil Redistribution Rates, Advanced Analysis, and Artificial Intelligence presents the most recent technologies and methods in quantifying soil erosion, focusing on quantitative geomorphological assessment, soil erosion interaction with natural and man-made hazards using new methods, and technologies that employ GIS, remote sensing (RS), spatial modeling, and machine learning tools as an effective plan for decision-makers and land users. Organized into three parts: 1) Erosion processes and impacts, 2) Advanced computing techniques to quantify soil erosion, and 3) Methods of Soil Erosion, this book will be an invaluable source material for researchers, academicians, graduate and undergraduate students, and professionals in the field of geology, specifically focused on geographic information systems and remote sensing. Provides an overview of soil erosion and its interaction with natural hazards (i.e., geological, hydrological, meteorological, and biological) Introduces advanced tools and technologies in soil erosion management Presents future soil erosion opportunities and challenges

Book Recent Advances in Remote Sensing and Geoinformation Processing for Land Degradation Assessment

Download or read book Recent Advances in Remote Sensing and Geoinformation Processing for Land Degradation Assessment written by Achim Roeder and published by CRC Press. This book was released on 2009-04-23 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Land degradation and desertification are amongst the most severe threats to human welfare and the environment, as they affect the livelihoods of some 2 billion people in the worlds drylands, and they are directly connected to pressing global environmental problems, such as the loss of biological diversity or global climate change. Strategies to co