261 resources related to Soil properties
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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.
The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.
The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
All areas of ionizing radiation detection - detectors, signal processing, analysis of results, PET development, PET results, medical imaging using ionizing radiation
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.
Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.
Electrical insulation common to the design and construction of components and equipment for use in electric and electronic circuits and distribution systems at all frequencies.
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 ...
Theory, concepts, and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.
Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.
2011 International Conference on Electric Technology and Civil Engineering (ICETCE), 2011
Supporting structure of double-row piles in deep foundation was analyzed by 3-D finite element on the base of some case study. Some factors are changed such as array pitch, pile stiffness, soil properties in piling and passive area. There are other factors that are taken into account such as spatial coordination role of coupling beam and interaction between pile-soil. The ...
2009 International Conference on Environmental Science and Information Application Technology, 2009
Temporal and spatial distribution of soil organic carbon and its mutative mechanism are researched under different land uses in middle of Heihe, based on the multi-methods of field samples gathered, laboratory analysis, GIS spatial analysis model and remote sensing. The results show that obvious pertinence and otherness exist between total soil carbon (TOC), active organic carbon (AOC), nonactive organic carbon ...
2010 International Conference on Multimedia Technology, 2010
In this paper, the space variability of soil total phosphorus and available phosphorus at the depths of 0-12 cm ,12-20cm ,20-30cm in the Taihu Lake region of rice soil was examined by using traditional statistics with geostatistics methods. The results showed that: total phosphorus content was reduce while the depths increased, and available phosphorus content was first increased and then ...
Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569), 2001
Variation of geographical phenomena is often gradual and continuous over space. A discrete model based on Boolean logic has been used to portray (map) this gradual and continuous spatial variation. Due to the limitation of this discrete model, spatial variation of geographic phenomena is portrayed by discrete and distinct spatial units, and changes only occur at the boundaries of these ...
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
Soil texture is considered as an important environment factor for agricultural growth. It is the most essential part for soil classification in large scale. Today the precise soil information in large scale is of great demand from various stakeholders including soil scientists, environmental managers, land use planners and traditional agricultural users. With the increasing demand of soil properties in fine ...
Unique Fixtures for Characterizing Electromagnetic Properties of Materials at THz Frequencies: MicroApps 2015 - Keysight Technologies
A Robot to Mine the Moon
Requirements, Models, and Properties: Their Relationship and Validation
IMS 2014: Out-of-Plane and Inline RF Switches based on Ge2Sb2Te5 Phase-Change Material
35 Years of Magnetic Heterostructures
Perpendicular magnetic anisotropy: From ultralow power spintronics to cancer therapy
IMS 2011-100 Years of Superconductivity (1911-2011) - Existing and Emerging RF Applications of Superconductivity
Unconventional Superconductivity: From History to Mystery
Tracked Vehicle with Circular Cross-Section to Realize Sideways Motion
Globecom 2019: Daniel Blumenthal Keynote
Breaking Spectral and Performance Barriers for Diode Lasers - Plenary Speaker, Manijeh Razeghi - IPC 2018
26th Annual MTT-AP Symposium and Mini Show - Dr. Ajay Poddar
IEEE Magnetics Distinguished Lecture - Mitsuteru Inoue
Envelope Time-Domain Characterizations to Assess In-Band Linearity Performances of Pre-Matched MASMOS Power Amplifier: RFIC Interactive Forum 2017
Magnetic Materials and Magnetic Devices - Josep Fontcuberta: IEEE Magnetics Distinguished Lecture 2016
"Introduction to Neuromorphic Computing - Insight and Challenges" (Rebooting Computing)
Microstructure-Property Correlations in Superconducting Wires - Applied Superconductivity Conference 2018
ASC-2014 SQUIDs 50th Anniversary: 6 of 6 - Kent Irwin - SQUIDs as detectors for cosmology
Prof. Chee Seng Chan - Intellectual Property Protection for Deep Learning Model
Supporting structure of double-row piles in deep foundation was analyzed by 3-D finite element on the base of some case study. Some factors are changed such as array pitch, pile stiffness, soil properties in piling and passive area. There are other factors that are taken into account such as spatial coordination role of coupling beam and interaction between pile-soil. The deformation and stress of double-row piles in deep foundation was analyzed and the excavation process was simulated by flac3D. Through analyzing the displacement alteration, we can concluded that combining various measures and reducing structure deformation may optimize structure design of double-row piles.
Temporal and spatial distribution of soil organic carbon and its mutative mechanism are researched under different land uses in middle of Heihe, based on the multi-methods of field samples gathered, laboratory analysis, GIS spatial analysis model and remote sensing. The results show that obvious pertinence and otherness exist between total soil carbon (TOC), active organic carbon (AOC), nonactive organic carbon (NOC) and different land uses. The extreme region and regional distribution of soil organic carbon have the better corresponding relation with different land uses; with the increase of the depth, spatial distribution of TOC, AOC and NOC have distinct change. AOC and NOC distribution are more veracious to reflect the affect of land use. Content of TOC, AOC and NOC have great change after land use change.
In this paper, the space variability of soil total phosphorus and available phosphorus at the depths of 0-12 cm ,12-20cm ,20-30cm in the Taihu Lake region of rice soil was examined by using traditional statistics with geostatistics methods. The results showed that: total phosphorus content was reduce while the depths increased, and available phosphorus content was first increased and then decreased with the depth increased. All three soil phosphorus coefficient of variation (57.53% -85.28%) far higher than the coefficient of variation available P (42.43% -64.42%), the semi-variable function of the variance variation C<sub>0</sub> / (C<sub>0</sub> + C) higher than 0.25, it indicate they have middle and weak correlation space and similar distance spatial structure .
Variation of geographical phenomena is often gradual and continuous over space. A discrete model based on Boolean logic has been used to portray (map) this gradual and continuous spatial variation. Due to the limitation of this discrete model, spatial variation of geographic phenomena is portrayed by discrete and distinct spatial units, and changes only occur at the boundaries of these units. As a result, the gradual and continuous nature of geographical phenomena is not retained in this discrete model. The paper presents a fuzzy logic based model (referred to as a similarity model). The model consists of two components: a fuzzy representation of geographic phenomena in the attribute domain and a raster representation in the spatial domain. With the use of fuzzy logic and raster representation, a given geographic phenomenon is perceived as a continuum in both the attribute and spatial domains. A case study conducted in the area of soil survey shows that spatial variation of soils was better represented under the similarity model than under the discrete model. It was also found that information retained under the similarity model allows the quantification of uncertainty when one chooses to harden the similarity information into the conventional Boolean representation.
Soil texture is considered as an important environment factor for agricultural growth. It is the most essential part for soil classification in large scale. Today the precise soil information in large scale is of great demand from various stakeholders including soil scientists, environmental managers, land use planners and traditional agricultural users. With the increasing demand of soil properties in fine scale spatial resolution made the traditional laboratory methods inadequate. In addition the costs of soil analysis with precision agriculture systems are more expensive than traditional methods. In this regard, the application of geo-spatial techniques can be used as an alternative for examining soil analysis. This study aims to examine the ability of Geo-spatial techniques in identifying the spatial patterns of soil attributes in fine scale. Around 30 samples of soil were collected from the different areas of Thatta Tehsil, Sindh, Pakistan for analyzing soil texture. An Ordinary Least Square (OLS) regression analysis was used to relate the reflectance values of Landsat8 OLI imagery with the soil variables. The analysis showed there was a significant relationship (p<;0.05) of band 2 and 5 with silt% (R<sup>2</sup> = 0.52), and band 4 and 6 with clay% (R<sup>2</sup> =0.40). The equation derived from OLS analysis was then used for the whole study area for deriving soil attributes. The USDA textural classification triangle was implementing for the derivation of soil texture map in GIS environment. The outcome revealed that the `sandy loam' was in great quantity followed by loam, sandy clay loam and clay loam. The outcome shows that the Geo-spatial techniques could be used efficiently for mapping soil texture of a larger area in fine scale. This technology helped in decreasing cost, time and increase detailed information by reducing field work to a considerable level.
Mapping of soils at paddock level is being undertaken at 3 selected sites in Victoria by using remote sensing data from a variety of sources. The three sites represent different agricultural practices in high and low rainfall zones across Victoria. The project work is divided into 4 stages: (1) soil analysis at sample points, (2) analysis and integration of remotely sensed information, (3) exploring relationships between soil properties and remotely sensed variables, and (4) extrapolating soil mapping to a wider area using relationships established at stage 3. Detailed soil surveys were initially conducted to characterise the soils of each site at the sub-paddock scale to obtain information on the physical and chemical properties of the soil, particularly those relating to limiting factors such as salinity, toxicity (boron, aluminium), acidity, alkalinity and soil moisture regimes. To achieve this, exploratory soil cores were collected across the site from locations representing different soil types and landform patterns. Soil pits (ranging between 4-10 per site) were then dug. Chemical and physical analyses were also completed for each pit to assist in understanding the soil characteristics across each site and down the soil profile. This site specific soil information is then used to aid soil feature extraction from the remotely sensed data sets. High resolution remote sensing information acquired for this study includes airborne synthetic aperture radar (PACRIM 2 AIRSAR), Landsat 7 ETM+, conductivity measurements from EM38 and EM31, and ground penetrating radar data sets. All data sets are integrated into raster format. The sets of remotely sensed data are treated as explanatory variables with soil properties as response variables. The integrated approach enables a number of space, air and ground borne data sets to be evaluated in terms of their potential to be able to identify soil components both on the surface and at depth. The differences in the resolution of these sensors also allow evaluation on the type of soil information that can be obtained at varying scales, from the sub- paddock to catchment.
New Very High Resolution dual-polarization radar sensors in X-band (TerraSAR-X and Cosmo-Skymed) are offering technical opportunities for the detection of road condition changes between dry and rainy period in tropical areas. We applied classification methods (fuzzy logic and learning algorithms), multi- incidence and optical-radar combination in order to estimate surface elements (relief, flooded areas), soil properties (wetness, surface roughness) and road conditions from multi-date acquisitions over SW Chad. These estimations are calibrated with data measurements on the field. They are included in a road condition service designed for military, humanitarian and industrial logistics.
In order to further understand the characteristics of natural-artificial turf, the research is focused on the analysis of the physical and chemical properties of natural-artificial turf after mimic traffic processing, with the control group of natural turf. The result showed that, with the increase of the traffic intensity, the soil compaction and soil pH of every group increased gradually and soil water infiltration rate decreased. Soil electric conductivity decreased at first but then increased. Compared with the control group, soil water infiltration rate of A6 and A8 increased significantly. There was a huge difference of the variation of soil water content between the group with 15 cm turfgrass bed and the one with 5 cm turfgrass bed. The density of artificial turfgrass and the growth of natural turfgrass in the natural-artificial turf have a significant impact on its soil water content. Natural-artificial turf with an appropriate density is beneficial to soil chemical properties. It can not only decrease soil salinity but also stabilize soil acidity or alkalinity.
A vector network analyzer was used to measure the electromagnetic properties of two types of Libyan soil. The vector network analyzer was used to act as a stepped frequency ground probing radar. The frequency that was covered is from 1 to 3 GHz. A TEM horn antenna was used for transmission and reception. From the experiments the attenuation and time delay was measured. Then conductivity, permittivity and moisture content were estimated from the measurements. The samples were taken before and after it rained by a week following a long dry season. The experiments gave a reasonable estimation of the parameters and showed that clay retained its moisture for a longer period that sandy soil.
They are an important resource, not only for their value to humans but also as a habitat for many plants and animals which have adapted to living in such a waterlogged environment. Indeed, they are vital to the many waterbirds, fish, crustaceans, reptiles, amphibians and invertebrates who spend some or all of their lifecycles in them. Wetlands have for a long time been taken for granted and have been seen in the past as areas of wasteland, sources of water during drought or as areas to be developed for human use. They have been neglected and have become degraded. Only in recent years have we come to appreciate the many important functions that wetlands perform and their social and economic value, yet they still remain very threatened environments.