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Analysis of Remote Sensing Data for Evaluating Vegetation Resources

Analysis of Remote Sensing Data for Evaluating Vegetation Resources PDF Author: Forestry Remote Sensing Laboratory (Berkeley, Calif.)
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 192

Book Description


Analysis of Remote Sensing Data for Evaluating Vegetation Resources

Analysis of Remote Sensing Data for Evaluating Vegetation Resources PDF Author: Forestry Remote Sensing Laboratory (Berkeley, Calif.)
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 192

Book Description


Analysis of Remote Sensing Data for Evaluating Vegetation Resources

Analysis of Remote Sensing Data for Evaluating Vegetation Resources PDF Author: University of California at Berkeley. Forestry Remote Sensing Laboratory
Publisher:
ISBN:
Category :
Languages : en
Pages : 197

Book Description


Analysis of Remote Sensing Data for Evaluating Vegetation Resources

Analysis of Remote Sensing Data for Evaluating Vegetation Resources PDF Author: Forestry Remote Sensing Laboratory (Berkeley, Calif.)
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 266

Book Description


Remote Sensing Applications in Forestry

Remote Sensing Applications in Forestry PDF Author: University of California, Berkeley. School of Forestry and Construction. Forestry Remote Sensing Laboratory
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 197

Book Description


Analysis of Remote Sensing Data for Evaluating Forest and Range Resources

Analysis of Remote Sensing Data for Evaluating Forest and Range Resources PDF Author: Robert N. Colwell
Publisher:
ISBN:
Category : Aerial photography in forestry
Languages : en
Pages : 230

Book Description


Remote Sensing Applications in Forestry

Remote Sensing Applications in Forestry PDF Author: University of California. Forestry Remote Sensing Laboratory
Publisher:
ISBN:
Category : Forest surveys
Languages : en
Pages : 266

Book Description


Analysis of Remote Sensing Data for Evaluating Forest and Range Resources

Analysis of Remote Sensing Data for Evaluating Forest and Range Resources PDF Author: Robert N. Colwell
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 207

Book Description


Biogeochemical Cycles

Biogeochemical Cycles PDF Author: Katerina Dontsova
Publisher: John Wiley & Sons
ISBN: 1119413303
Category : Science
Languages : en
Pages : 336

Book Description
Elements move through Earth's critical zone along interconnected pathways that are strongly influenced by fluctuations in water and energy. The biogeochemical cycling of elements is inextricably linked to changes in climate and ecological disturbances, both natural and man-made. Biogeochemical Cycles: Ecological Drivers and Environmental Impact examines the influences and effects of biogeochemical elemental cycles in different ecosystems in the critical zone. Volume highlights include: Impact of global change on the biogeochemical functioning of diverse ecosystems Biological drivers of soil, rock, and mineral weathering Natural elemental sources for improving sustainability of ecosystems Links between natural ecosystems and managed agricultural systems Non-carbon elemental cycles affected by climate change Subsystems particularly vulnerable to global change 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. Book Review: http://www.elementsmagazine.org/archives/e16_6/e16_6_dep_bookreview.pdf

Environmental Modelling with GIS and Remote Sensing

Environmental Modelling with GIS and Remote Sensing PDF Author: Andrew Skidmore
Publisher: CRC Press
ISBN: 0203302214
Category : Technology & Engineering
Languages : en
Pages : 268

Book Description
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

Remote Sensing and Digital Image Processing with R

Remote Sensing and Digital Image Processing with R PDF Author: Marcelo de Carvalho Alves
Publisher: CRC Press
ISBN: 100089536X
Category : Technology & Engineering
Languages : en
Pages : 537

Book Description
This new textbook on remote sensing and digital image processing of natural resources includes numerous, practical problem-solving exercises and applications of sensors and satellite systems using remote sensing data collection resources, and emphasizes the free and open-source platform R. It explains basic concepts of remote sensing and multidisciplinary applications using R language and R packages, by engaging students in learning theory through hands-on, real-life projects. All chapters are structured with learning objectives, computation, questions, solved exercises, resources, and research suggestions. Features Explains the theory of passive and active remote sensing and its applications in water, soil, vegetation, and atmosphere. Covers data analysis in the free and open-source R platform, which makes remote sensing accessible to anyone with a computer. Includes case studies from different environments with free software algorithms and an R toolset for active learning and a learn-by-doing approach. Provides hands-on exercises at the end of each chapter and encourages readers to understand the potential and the limitations of the environments, remote sensing targets, and process. Explores current trends and developments in remote sensing in homework assignments with data to further explore the use of free multispectral remote sensing data, including very high spatial resolution data sources for target recognition with image processing techniques. While the focus of the book is on environmental and agriculture engineering, it can be applied widely to a variety of subjects such as physical, natural, and social sciences. Students in upper-level undergraduate or graduate programs, taking courses in remote sensing, geoprocessing, civil and environmental engineering, geosciences, environmental sciences, electrical engineering, biology, and hydrology will also benefit from the learning objectives in the book. Professionals who use remote sensing and digital processing will also find this text enlightening.