Last edited by Dagal
Monday, May 18, 2020 | History

6 edition of Remote Sensing and Climate Modeling found in the catalog.

Remote Sensing and Climate Modeling

Synergies and Limitations (Advances in Global Change Research)

  • 270 Want to read
  • 4 Currently reading

Published by Springer .
Written in English

    Subjects:
  • Climatology,
  • Remote sensing,
  • Scientific equipment & techniques, laboratory equipment,
  • Science/Mathematics,
  • Nature,
  • Earth Sciences - Geography,
  • Weather,
  • Climate Changes,
  • Remote Sensing Techniques,
  • Science,
  • Mathematical models,
  • Earth sciences,
  • Earth Sciences - Geology,
  • Earth Sciences - Meteorology & Climatology,
  • Nature / Weather,
  • Science / Meteorology,
  • Science-Earth Sciences - Geology,
  • Science-Earth Sciences - Meteorology & Climatology,
  • Artificial satellites in remote sensing,
  • Nature / Field Guide Books,
  • Applied,
  • Climatic changes,
  • Congresses

  • Edition Notes

    ContributionsM. Beniston (Editor), Michel M. Verstraete (Editor)
    The Physical Object
    FormatHardcover
    Number of Pages360
    ID Numbers
    Open LibraryOL7809356M
    ISBN 100792368010
    ISBN 109780792368014

    Such parameters are important determinants of the climate system and its evolution, and are often poorly quantified in climate models; the advantage of remote sensing techniques, which have a global coverage, therefore becomes obvious for the climate modeling community. The book is primarily aimed at advanced academic research, at PhD or post. When climate models characterize their radiative processes consistent with the remote sensing algorithms useful for their detection, they become physically .

    Monitoring Biodiversity Using Remote Sensing and Field Surveys: /ch This chapter concludes that, in combination with additional environmental data sets, it is now possible to model quantitatively the spatial extent ofCited by: 3.   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.

    New Environmental Remote Sensing Systems. Geographic Data for Environmental Modeling and Assessment. The Biosphere: A Global Perspective. Vegetation Mapping and Monitoring, Applications of Remote Sensing and Geographic Information Systems in Wildlife Mapping and Modeling. Biodiversity Mapping and Modeling. This book intends to show the reader how remote sensing impacts other areas of science, technology, and human activity, by displaying a selected number of high quality contributions dealing with different remote sensing applications. Twenty two chapters have been carefully collected and distributed in four areas.


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Remote Sensing and Climate Modeling Download PDF EPUB FB2

The aim of this Special Issue is to invite contributions that use various approaches, particularly satellite remote sensing and numerical/statistical models, to monitor, simulate, and forecast the spatial-temporal patterns of hydro-climatic extremes, and assess their impacts on society, economy, agriculture, and human health.

Remote Sensing (ISSN ) is a peer-reviewed open access journal about the science and application of remote sensing technology, and is published semi-monthly online by MDPI. Remote Sensing is affiliated to The Remote Sensing Society of Japan (RSSJ) and members receive a discount on the article processing charge.

Open Access free for readers, with article. HEALTH APPLICATIONS OF REMOTE SENSING AND CLIMATE MODELING Dister, S., L. Beck, B. Wood, R. Falco, and D. Fish The use of remote sensing technologies in a landscape approach to the study of Lyme disease transmission risk.

in Proceedings of GIS ' Seventh Annual Symposium in Geographic Information Systems in. Remote Sensing and Climate Modeling: Synergies and Limitations (Advances in Global Change Research) [Martin Beniston, Michel M. Verstraete] on *FREE* shipping on qualifying offers.

1 2 Michel M. VERSTRAETE and Martin BENISTON 1 Space Applications Institute, EC Joint Research Centre, Ispra. This international scientific conference aimed at addressing the current and pot- tial role of satellite remote sensing in climate modeling, with a particular focus on land surface processes and atmospheric aerosol characterization.

Global and regional circulation models incorporate our knowledge ofthe dynamics ofthe Earth's atmosphere. Discover the best Remote Sensing & GIS in Best Sellers. Find the top most popular items in Amazon Books Best Sellers.

Covers research in two domains: remote sensing techniques and climate models. This book covers such diverse areas within satellite remote sensing techniques as aerosol loading of the atmosphere, Read more.

Climate is the average weather in a given location, averaged over a fairly long time period, at least 10 years. When we talk about climate, we often talk about average values of meteorological or oceanographic variables, such as air temperatures, precipitation, humidity, wind speed or ocean temperature at a given location at a given time of year.

Get this from a library. Remote Sensing and Climate Modeling: Synergies and Limitations. [Martin Beniston; Michel M Verstraete] -- This book for the first time covers state-of-the-art research in two domains which are largely complementary, but which have until now not made optimum use of their complementarity: remote sensing.

Climate Change (13) Dynamics, Analysis, and Forecasting (9) History (19) Impacts (10) Lectures & Proceedings (5) Meteorological Monographs (16) Midlatitude Weather Systems (9) Modeling (6) Radiation (3) Reference (9) Remote Sensing (4) Severe Storms (8) Technology (9) Textbook (10) Understanding Environmental Change (2) Weather Modification (2.

In summary, this book presents a collection of recent innovative hydrology-relevant capacity building research conducted on emerging regions with inadequate observations, and hopefully provides a hydrologic research brochure for government officials, researchers, students, and practitioners in hydrology, remote sensing, meteorology, and climate.

Sergey Venevsky, in Encyclopedia of Ecology (Second Edition), Remote Sensing. Satellite remote sensing measuring entering and leaving flux of radiation from top of the atmosphere is one of the most powerful tools in climate change ecology. NASA at the moment uses 14 satellites of different types of orbits (sun-synchronous and geo-synchronous) with different type of sensors.

This edition of Evapotranspiration - Remote Sensing and Modeling contains 23 chapters related to the modeling and simulation of evapotranspiration (ET) and remote sensing-based energy balance determination of ET.

These areas are at the forefront of technologies that quantify the highly spatial ET from the Earth's surface.

The topics describe mechanics of ET simulation Cited by: This book is geared for advanced level research in the general subject area of remote sensing and modeling as they apply to the coastal marine environment. The various chapters focus on the latest scientific and technical advances in the service of better understanding coastal marine environments for their care, conservation and management.

Download Text Book of Remote Sensing and Geographical Information Systems By M. Anji Reddy – Remote Sensing and Geographical Information Systems (GIS) deals with mapping technology, and all relevant terminology which are necessary for a beginner to develop his skills in this new and upcoming technology.

Extreme Hydrology and Climate Variability: Monitoring, Modelling, Adaptation and Mitigation is a compilation of contributions by experts from around the world who discuss extreme hydrology topics, from monitoring, to modeling and management.

With extreme climatic and hydrologic events becoming so frequent, this book is a critical source, adding knowledge to the science of.

Remote Sensing of the Terrestrial Water Cycle is an outcome of the AGU Chapman Conference held in February This is a comprehensive volume that examines the use of available remote sensing satellite data as well as data from future missions that can be used to expand our knowledge in quantifying the spatial and temporal variations in the.

Measurements and modeling of precipitation are at the core of weather forecasting, and long-term observations of the cloud system are vital to improving atmospheric models and climate projections. The first section of the book focuses on the use of ground-based weather radars to observe and measure precipitation and to detect and forecast.

Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object and thus in contrast to on-site observation, especially the Earth.

Remote sensing is used in numerous fields, including geography, land surveying and most Earth science disciplines (for example, hydrology, ecology, meteorology, oceanography, glaciology. Presents an overview of the past, current and future remote sensing observations of the precipitation, soil moisture, evapotranspiration and total water storage Reviews the various applications of remote sensing in hydrological/land surface/climate modeling and Ensemble Square Root Filter (EnSRF) data assimilation.

This chapter has been cited by the following publications. This list is generated based on data provided by CrossRef. Batur, Ersan and Maktav, Derya Assessment of Surface Water Quality by Using Satellite Images Fusion Based on PCA Method in the Lake Gala, Turkey.

IEEE Transactions on Author: P. P. Mujumdar, D. Nagesh Kumar.The book is an invitation to rethink processing routines in place for Earth observation data. As such, the intended readers of the book are remote sensing experts being new to command line processing or having already some experience with this technology.Radar remote sensing now allows spatial parameters to be accessed for the monitoring of the soil surface and the modeling of its functioning.

In fact, signals acquired by radar are strongly correlated to some physical variables that are linked to soil surface conditions, such as soil moisture and surface roughness.