remote sensing and sensors
Yield variability prediction by remote sensing sensors with different spatial resolution
... Domínguez et al. (2015) discussed in their study how the phenological phase of the crop could influence the NDVI values during the crop growth. They developed NDVI mo- dels for winter wheat and winter rape crops from ...
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Synergy between synthetic aperture radar and other sensors for the remote sensing of the ocean
... The monitoring of the sea surface by synthetic aperture radar (SAR) from space has made enormous progress over the last decades so that today a variety of oceanic processes can be identified with a high degree of ...
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A system study of sparse aperture sensors in remote sensing applications with explicit phase retrieval
... 129 4.32 Average image quality metrics for the HYDICE data set 5 images with respect to RMS of OPD in units of waves, shown for the monochromatic passband.. A low value indicates better [r] ...
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Open Data Cube for Natural Resources Mapping in Mexico
... on Remote Sensing Imagery (aerial photographs and images from several sensors and satellites: SPOT, LANDSAT, etc), we need now to be able to manage, process and analyze massive amounts of Imagery ...
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The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fields
... reflectometry sensors (Clarke Topp and Reynolds, 1998; Schaap et ...capacitance sensors (Bogena et ...moisture sensors are especially useful for studying pro- cesses at a small scale, but suffer from ...
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Remote sensing of volcanic hazards and their precursors
... Since the late 1960’s Earth orbiting satellites have made routine measurements of the emitted and reflected radiation from the Earth’s surface and atmosphere. The instruments used were designed to study and understand ...
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Terrestrial laser scanning intensity captures diurnal variation in leaf water potential
... Passive remote sensing sensors have been used to measure the variation of leaf water content of individual leaves at close-range, and of canopies using airborne sensors (Colombo et ...
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Design and Development of Framework to Create Cloud Free Reference Repository of IRS Satellite Images for Image Analysis
... Technological advancement and increasing availability of high-resolution satellite images, offer the potential for more accurate analyses, by which the detection and quantification of changes could improve greatly. Such ...
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Volume 9 Issue 1 January 2020 | International Journal of Science, Engineering and Technology Research
... Remote Sensing and GIS is a powerful technique which can play an important role in mitigation of problems of ...landslides. Remote Sensing and GIS is used in recognition of landslide past and ...
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Satellite communication and remote sensing intervention by rural development
... and Remote sensing has led to the development of solutions for various national development programs like National Natural Resource Management Health care using ...in sensors with increased spatial, ...
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Technical Note: Use of remote sensing for landslide studies in Europe
... of sensors available ...Radar) sensors, purposely built for interferometric applications with revisit times of a few days, such as TerraSAR X and ...1997. Remote rainfall measurements can be used to ...
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Satellite remote sensing of ecosystem functions: opportunities, challenges and way forward
... satellite remote sens- ing products that could contribute to the dynamic, global monitoring of ecosystem functions: as one can see, a range of ecosystem function indicators is already well supported by existing ...
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Options for monitoring and estimating historical carbon emissions from forest degradation in the context of REDD+
... with remote sensing data is more challenging than mapping deforestation [29] because the degraded forest is a complex mix of differ- ent land cover types (vegetation, dead trees, soil, shade) and the ...
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Vehicle Detection In Remote Sensing Images
... Many recent works are based on deep learning for the application of counting moving vehicles or for traffic scene understanding [20, 21]. Zheng et al. [22], used five deep unsupervised learning models to learn driving ...
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Remote sensing of zooplankton swarms
... finmarchicus and other astaxanthin-rich zooplankton, even at the high abundances observed here. Although the recorded abundances of Calanus spp. are comparatively high, quantifying abundance in the surface layer around ...
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Unmanned Aerial Vehicle Remote Sensing Monitoring And Image Acquisition System
... imaging sensors for building ground panorama, which are single camera rotation mode, multi lens simultaneous imaging, annular imaging, high-speed ball, and fish eye lens ...
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Implications of sampling design and sample size for national carbon accounting systems
... data, remote sensing-based data, or a combination of the ...of remote sensing and in-situ assessments is utilized to assess AD and ...EF. Remote sensing data provide ...
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Remote Sensing Walker
... the remote sensing walker, the users only need to push the switch at RF remote control and on the walker frame to move in various directions that are left, right, forward, and ...photo-electric ...
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River Sediment Monitoring Using Remote Sensing and GIS
... by remote sensing techniques and related software such as ENVI and ...the remote sensing technique has a greater speed and precision compared to traditional methods, it is used as an efficient ...
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Enhancement of the Satellite Images using ACO and DNN Approach
... applying remote sensing technique on monitoring remediation of temporary land use (tLU) in road construction project, based on two case studies which are 'Cao-Nan' and 'Chao-Hei' highways in Liaoning ...
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