Global Land Cover Characteristics Database

Global Land Cover Characteristics Database
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The U.S. Geographical Survey (USGS) Earth Resources Observations Systems (EROS) Data Center presents the Global Land Cover Characteristics Database. The data set is derived from 1-km Advanced Very High Resolution Radiometer (AVHRR) data spanning a 12-month period. The database is based on a flexible database structure and seasonal land cover regions concepts. A geographic projection file listing is available.

Global Drought and Flood

Global Drought and Flood
Author: Huan Wu
Publisher: John Wiley & Sons
Total Pages: 352
Release: 2021-08-10
Genre: Science
ISBN: 1119427215

Recent advances in the modeling and remote sensing of droughts and floods Droughts and floods are causing increasing damage worldwide, often with devastating short- and long-term impacts on human society. Forecasting when they will occur, monitoring them as they develop, and learning from the past to improve disaster management is vital. Global Drought and Flood: Observation, Modeling, and Prediction presents recent advances in the modeling and remote sensing of droughts and floods. It also describes the techniques and products currently available and how they are being used in practice. Volume highlights include: Remote sensing approaches for mapping droughts and floods Physical and statistical models for monitoring and forecasting hydrologic hazards Features of various drought and flood systems and products Use by governments, humanitarian, and development stakeholders in recent disaster cases Improving the collaboration between hazard information provision and end users The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

Ground Sample Data for the Conterminous U.S. Land Cover Characteristics Database

Ground Sample Data for the Conterminous U.S. Land Cover Characteristics Database
Author: Robert E. Burgan
Publisher:
Total Pages: 16
Release: 1999
Genre: Forests and forestry
ISBN:

Ground sample data were collected for a land cover database and raster map that portray 159 vegetation classes at 1 km2 resolution for the conterminous United States. Locations for 3,500 1 km2 ground sample plots were selected randomly across the United States. The number of plots representing each vegetation class was weighted by the proportionate coverage of each vegetation class. Field data collected for 2,560 of these plots included dominant vegetation species; coverage, height, and diameter estimates of major tree species; coverage, depth, and density estimates for shrubs and grasses; and photographs of the sample plots. These data were compared to vegetation labels assigned in the USGS, EROS Data Center's Land Cover Characteristics (LCC) database. The vegetation types were comparable in most cases, but the ground data provided labels ordered according to decreasing vegetation frequency. A formal accuracy assessment of the LCC map was not attempted. All data are available on a CD-ROM from the EROS Data Center.

Land Use and Land Cover Mapping in Europe

Land Use and Land Cover Mapping in Europe
Author: Ioannis Manakos
Publisher: Springer
Total Pages: 436
Release: 2014-07-08
Genre: Science
ISBN: 9400779690

Land use and land cover (LULC) as well as its changes (LUCC) are an interplay between bio-geophysical characteristics of the landscape and climate as well as the complex human interaction including its different patterns of utilization superimposed on the natural vegetation. LULC is a core information layer for a variety of scientific and administrative tasks(e.g. hydrological modelling, climate models, land use planning).In particular in the context of climate change with its impacts on socio-economic, socio-ecologic systems as well as ecosystem services precise information on LULC and LUCC are mandatory baseline datasets required over large areas. Remote sensing can provide such information on different levels of detail and in a homogeneous and reliable way. Hence, LULC mapping can be regarded as a prototype for integrated approaches based on spaceborne and airborne remote sensing techniques combined with field observations. The book provides for the first time a comprehensive view of various LULC activities focusing on European initiatives, such as the LUCAS surveys, the CORINE land covers, the ESA/EU GMES program and its resulting Fast-Track- and Downstream Services, the EU JRC Global Land Cover, the ESA GlobCover project as well as the ESA initiative on Essential Climate Variables. All have and are producing highly appreciated land cover products. The book will cover the operational approaches, but also review current state-of-the-art scientific methodologies and recommendations for this field. It opens the view with best-practice examples that lead to a view that exceeds pure mapping, but to investigate into drivers and causes as well as future projections.

Land Use Cover Datasets and Validation Tools

Land Use Cover Datasets and Validation Tools
Author: David García-Álvarez
Publisher: Springer Nature
Total Pages: 460
Release: 2022-06-16
Genre: Computers
ISBN: 3030909980

This open access book represents a comprehensive review of available land-use cover data and techniques to validate and analyze this type of spatial information. The book provides the basic theory needed to understand the progress of LUCC mapping/modeling validation practice. It makes accessible to any interested user most of the research community's methods and techniques to validate LUC maps and models. Besides, this book is enriched with practical exercises to be applied with QGIS. The book includes a description of relevant global and supra-national LUC datasets currently available. Finally, the book provides the user with all the information required to manage and download these datasets.