254 resources related to Biosphere
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The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.
To promote awareness, understanding, advancement and application of ocean engineering and marine technology. This includes all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.
Photovoltaic materials, devices, systems and related science and technology
International Geosicence and Remote Sensing Symposium (IGARSS) is the annual conference sponsored by the IEEE Geoscience and Remote Sensing Society (IEEE GRSS), which is also the flagship event of the society. The topics of IGARSS cover a wide variety of the research on the theory, techniques, and applications of remote sensing in geoscience, which includes: the fundamentals of the interactions electromagnetic waves with environment and target to be observed; the techniques and implementation of remote sensing for imaging and sounding; the analysis, processing and information technology of remote sensing data; the applications of remote sensing in different aspects of earth science; the missions and projects of earth observation satellites and airborne and ground based campaigns. The theme of IGARSS 2019 is “Enviroment and Disasters”, and some emphases will be given on related special topics.
addresses the discipline of systems engineering,including theory, technology, methodology, andapplications of complex systems, system-of-systems,and integrated systems of national and globalsignificance.
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Physics, medicine, astronomy—these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering (CiSE) presents scientific and computational contributions in a clear and accessible format. ...
EMC standards; measurement technology; undesired sources; cable/grounding; filters/shielding; equipment EMC; systems EMC; antennas and propagation; spectrum utilization; electromagnetic pulses; lightning; radiation hazards; and Walsh functions
Research, development, design, application, construction, installation, and operation of electric power generating facilities (along with their conventional, nuclear, or renewable sources) for the safe, reliable, and economic generation of electrical energy for general industrial, commercial, public, and domestic consumption, and electromechanical energy conversion for the use of electrical energy
It is expected that GRS Letters will apply to a wide range of remote sensing activities looking to publish shorter, high-impact papers. Topics covered will remain within the IEEE Geoscience and Remote Sensing Societys field of interest: the theory, concepts, and techniques of science and engineering as they apply to the sensing of the earth, oceans, atmosphere, and space; and ...
2009 European Radar Conference (EuRAD), 2009
Earth Explorer is an ESA Program aimed to provide an important contribution for the understanding of the Earth System. Earth Explorer missions form the science and research element of ESA's Living Planet Program and focus on the observation of atmosphere, biosphere, hydrosphere and cryosphere. In this context, the CoReH2O mission was conceived in order to characterize snow cover spatial distribution ...
IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2003
Besides so-called light use efficiency models (which, very generally, account for effects of temperature and water stress upon plant productivity), satellite-derived information may be applied to adjust Dynamic Global Vegetation Models (DGVMs). This paper attempts to assimilate satellite-derived land cover (GLC2000) into a state-of-the-art DGVM (LPJ-DGVM) and examine the impact on estimated carbon stocks. The offset between land cover information ...
Proceedings of the 1991 International Symposium on Technology and Society - ISTAS `91, 1991
2008 IEEE Symposium on Visual Analytics Science and Technology, 2008
Climate change has emerged as one of the grand global challenges facing humanity. The dominant anthropogenic greenhouse gas that seems to be contributing to the climate change problem, carbon dioxide (CO2), has a complex cycle through the atmosphere, oceans and biosphere. The combustion of fossil fuels (power production, transportation, etc.) remains the largest source of anthropogenic CO2 to the Earthpsilas ...
IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293), 1999
The retrieval of biophysical parameters through the fitting of a simple radiative transfer model against spectral and directional spaceborne POLDER optical data is feasible for the biosphere characterization. The LAI maps have shown the expected spatial variations for various types of vegetation as well as expected temporal evolution. The description of a new algorithm using a neural network is then ...
Earth Explorer is an ESA Program aimed to provide an important contribution for the understanding of the Earth System. Earth Explorer missions form the science and research element of ESA's Living Planet Program and focus on the observation of atmosphere, biosphere, hydrosphere and cryosphere. In this context, the CoReH2O mission was conceived in order to characterize snow cover spatial distribution and its relevant properties: snow depth, Snow Water Equivalent (SWE), sea ice and glacier features. Electromagnetic properties of the geophysical parameters of interest, and the need to retrieve them accurately on a wide geographical scale, envision the mission around a Synthetic Aperture Radar (SAR) providing the key features of wide coverage, ldquoSimultaneous Dual Polarisation on Receiverdquo capability, ldquoSimultaneous Dual Bandrdquo (Ku - X) capability.
Besides so-called light use efficiency models (which, very generally, account for effects of temperature and water stress upon plant productivity), satellite-derived information may be applied to adjust Dynamic Global Vegetation Models (DGVMs). This paper attempts to assimilate satellite-derived land cover (GLC2000) into a state-of-the-art DGVM (LPJ-DGVM) and examine the impact on estimated carbon stocks. The offset between land cover information and potential fractional vegetation cover is calculated by the model and then used to adjust plant productivity. Increasing the information content of current satellite-derived land cover products would lead to more reliable estimates of parameters of the terrestrial component of the global carbon cycle.
Climate change has emerged as one of the grand global challenges facing humanity. The dominant anthropogenic greenhouse gas that seems to be contributing to the climate change problem, carbon dioxide (CO2), has a complex cycle through the atmosphere, oceans and biosphere. The combustion of fossil fuels (power production, transportation, etc.) remains the largest source of anthropogenic CO2 to the Earthpsilas atmosphere. Up until very recently, the quantification of fossil fuel CO2 was understood only at coarse space and time scales. A recent research effort has greatly improved this space/time quantification resulting in source data at a resolution of less than 10 km2/hr at the surface of North America. By providing visual tools to examine this new, high resolution CO2 data, we can better understand the way that CO2 is transmitted within the atmosphere and how it is exchanged with other components of the Earth System. We have developed interactive visual analytic tools, which allows for easy data manipulation, analysis, and extraction. The visualization system is aimed for a wide range of users which include researchers and political leaders. The goal is to help assist these people in analyzing data and enabling new policy options in mitigation of fossil fuel CO2 emissions in the U.S.
The retrieval of biophysical parameters through the fitting of a simple radiative transfer model against spectral and directional spaceborne POLDER optical data is feasible for the biosphere characterization. The LAI maps have shown the expected spatial variations for various types of vegetation as well as expected temporal evolution. The description of a new algorithm using a neural network is then given. The next step of this work is to apply it on POLDER 1 data.
Detecting vegetation fluorescence from space would provide new insight on terrestrial biosphere response to climate variability, and help quantifying atmospheric carbon sequestration. This paper outlines technical and scientific studies undertaken for the preparation of the FLEX-Fluorescence Explorer space mission proposed to ESA in the framework of the Earth Explorer Opportunity Missions program.
Landscape changes are among the most important socio-economic forces of global as well as local environmental change. Mountain is a source of water in the arid regions, playing an important role in keeping ecological balance. This study focuses on the changes of mountain landscape in Shule River basin located in arid Northwest China. Based on the Landsat TM remote sensing satellite data of the study areas taken in 1986 and 2000, DEM (1:100000), using ArcGIS software, the landscape changes had been analyzed in the different elevation zones. The results show that: (1) Area of the sparse grassland is the largest in all the landscape types, the followed is rock. The vegetation of the study is 50%, and the dense grassland accounted for only 4.5%. (2) During the 15 years, the area of the dense grassland decreased 299.45 km<sup>2</sup> because of degradation, the mid-density grassland decreased 91.5 km<sup>2</sup>. On the other hand, the area of the swamp meadow increased 168.92 km<sup>2</sup>, the freezing-throwing rock increased 101.28 km<sup>2</sup>, and the sparse grassland increased 95.3 km<sup>2</sup>. (3) The grassland in lower elevation with 3500 m-3800 m were undergoing degeneration because of the global warming and over-grazing, and the altitude of 3500 m-3800 m was just the lower limit of permafrost distribution.
This study proposes an extended subspace method (ESM) in feature extraction and dimension-reduction problems for land cover classification of hyperspectral and multi-spectral remote sensing images. The main idea of our method is to use a multiple similarity method (MSM) onto an averaged learning subspace method (ALSM) and makes use of fidelity value criteria in the selection of the optimal subspace dimensions. This method is compared with the support vector machine (SVM) method using Compact Airborne Spectrographic Imager-2 (CASI-2) hyperspectral remote sensing data. Experimental results show that ESM is a valid and effective alternative to other pattern recognition approaches for the classification of remote sensing data.
The normalized difference vegetation index (NDVI) products, as derived from the NOAA AVHRR sensor series, have been shown useful for the studies of the land biosphere characteristics and dynamics at regional to global scales. Standard pre-processing in generating these AVHRR NDVI products include the compositing process, in which the highest NDVI value from a series of multitemporal georeferenced images is retained for each pixel location in order to minimize cloud and atmosphere contamination. While this maximum value composite (MVC) procedure has been shown to produce NDVI images with a relatively high degree of radiometric consistency, adjacent composite pixels may have been acquired at widely varying viewing geometries due to the bidirectional reflectance distribution effects of the surface targets, of which magnitude varies with land cover types and atmospheric corrections, resulting in large inconsistencies. In response, the compositing algorithm of the Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation index (VI) products emphasizes a global, operational view angle standardization. It utilizes a bidirectional reflectance distribution function (BRDF) model to produce nadir looking equivalent reflectance values if enough cloud free observations are available during a 16-day compositing period. Otherwise, a backup, MVC criterion that includes a view zenith angle constraint (namely, the constraint view angle MVC criterion, CVMVC) is utilized to composite. In this study, the authors assess and characterize this new compositing algorithm using early MODIS data and compared it with the conventional MVC algorithm.
The objective of this paper is to investigate the effect of a two-scale surface roughness description on the polarization coherence in circular polarization (i.e. P/sub RRLL/). Under the assumption of sufficiently smooth surfaces, the small-slope approximation (SSA) model is employed to derive a first order expression for P/sub RRLL/. In the paper the sensitivity of P/sub RRLL/ to azimuth slopes is presented.
No standards are currently tagged "Biosphere"