Author: James Richard AndersonPublisher:
ISBN:
Category : Land cover
Languages : en
Pages : 36
Book Description
A Land Use and Land Cover Classification System for Use with Remote Sensor Data
Author: James Richard AndersonPublisher:
ISBN:
Category : Land cover
Languages : en
Pages : 36
Book Description
Agricultural Land-use Classification Using Landsat Imagery Data, and Estimates of Irrigation Water Use in Gooding, Jerome, Lincoln, and Minidoka Counties, 1992 Water Year, Upper Snake River Basin, Idaho and Western Wyoming
Author: Molly A. MaupinPublisher:
ISBN:
Category : Irrigation
Languages : en
Pages : 40
Book Description
National Land Cover Dataset
Author: Agricultural Land-Use Classification Using Landsat Imagery Data
Author: Molly A. MaupinGrassland to Cropland Conversion in the Northern Plains
Author: Roger L. ClaassenPublisher: DIANE Publishing
ISBN: 1437988784
Category : Business & Economics
Languages : en
Pages : 85
Book Description
Agricultural Survey Methods
Author: Roberto BenedettiPublisher: John Wiley & Sons
ISBN: 9780470665466
Category : Mathematics
Languages : en
Pages : 434
Book Description
Due to the widespread use of surveys in agricultural resources estimation there is a broad and recognizable interest in methods and techniques to collect and process agricultural data. This book brings together the knowledge of academics and experts to increase the dissemination of the latest developments in agricultural statistics. Conducting a census, setting up frames and registers and using administrative data for statistical purposes are covered and issues arising from sample design and estimation, use of remote sensing, management of data quality and dissemination and analysis of survey data are explored. Key features: Brings together high quality research on agricultural statistics from experts in this field. Provides a thorough and much needed overview of developments within agricultural statistics. Contains summaries for each chapter, providing a valuable reference framework for those new to the field. Based upon a selection of key methodological papers presented at the ICAS conference series, updated and expanded to address current issues. Covers traditional statistical methodologies including sampling and weighting. This book provides a much needed guide to conducting surveys of land use and to the latest developments in agricultural statistics. Statisticians interested in agricultural statistics, agricultural statisticians in national statistics offices and statisticians and researchers using survey methodology will benefit from this book.
Remote Sensing of Land Use and Land Cover
Author: Chandra P. GiriPublisher: CRC Press
ISBN: 1420070754
Category : Nature
Languages : en
Pages : 477
Book Description
Filling the need for a comprehensive book that covers both theory and application, Remote Sensing of Land Use and Land Cover: Principles and Applications provides a synopsis of how remote sensing can be used for land-cover characterization, mapping, and monitoring from the local to the global scale. With contributions by leading scientists from aro
Remote Sensing and Image Interpretation
Author: Thomas M. LillesandPublisher: John Wiley & Sons
ISBN:
Category : Science
Languages : en
Pages : 838
Book Description
From recent developments in digital image processing to the next generation of satellite systems, this book provides a comprehensive introduction to the field of remote sensing and image interpretation. This book is discipline neutral, so readers in any field of study can gain a clear understanding of these systems and their virtually unlimited applications. * The authors underscore close interactions among the related areas of remote sensing, GIS, GPS, digital image processing, and environmental modeling. * Appendices include material on sources of remote sensing data and information, remote sensing periodicals, online glossaries, and online tutorials.
Google Earth Engine Applications
Author: Lalit KumarPublisher: MDPI
ISBN: 3038978841
Category : Science
Languages : en
Pages : 420
Book Description
In a rapidly changing world, there is an ever-increasing need to monitor the Earth’s resources and manage it sustainably for future generations. Earth observation from satellites is critical to provide information required for informed and timely decision making in this regard. Satellite-based earth observation has advanced rapidly over the last 50 years, and there is a plethora of satellite sensors imaging the Earth at finer spatial and spectral resolutions as well as high temporal resolutions. The amount of data available for any single location on the Earth is now at the petabyte-scale. An ever-increasing capacity and computing power is needed to handle such large datasets. The Google Earth Engine (GEE) is a cloud-based computing platform that was established by Google to support such data processing. This facility allows for the storage, processing and analysis of spatial data using centralized high-power computing resources, allowing scientists, researchers, hobbyists and anyone else interested in such fields to mine this data and understand the changes occurring on the Earth’s surface. This book presents research that applies the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross primary productivity, among others. Datasets used range from coarse spatial resolution data, such as MODIS, to medium resolution datasets (Worldview -2), and the studies cover the entire globe at varying spatial and temporal scales.
Author: