airborne remote sensing
Comparison between Thermal Airborne Remote Sensing, Multi-depth Electrical Resistivity Profiling and Soil Mapping
... of remote sensing and ground based methods has been developed: remote sensing enable the estimation of soil parameters over large areas but are often limited to the estimation of the soil ...
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Automated grain size measurements from airborne remote sensing for long profile measurements of fluvial grain sizes.
... 2.7. Overall Feasibility, Costs, and Processing Times [ 19 ] While centimeter-scale resolution imagery is re- quired for this method, such imagery is not difficult to obtain with current airborne remote ...
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Contribution of airborne remote sensing to high-throughput phenotyping of a hybrid apple population in response to soil water constraints
... 2. Airborne image acquisition, field measurement Image acquisition system was composed of two digital cameras Canon EOS 400D (10.1 Megapixel CMOS sensor) each equipped with an objective focal length of 35mm, and ...
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Airborne optical and thermal remote sensing for wildfire detection and monitoring
... For infrared detection controlled heat sources are desired. For example, the Airborne Wildfire Intelligence System (AWIS) [ 117 ] operated mainly in Western Canada by Range and Bearing Corp. provides high-altitude ...
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Polygonization of Remote Sensing Classification Maps by Mesh Approximation
... in remote sensing im- agery directly produce polygonal data, ...of remote sensing im- agery is becoming more and more effective [3, ...
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Retrieval of Remote Sensing Images with Pattern Spectra Descriptors
... competitive performances in the context of grayscale image retrieval [ 24 ], motivating us to further explore Local Pattern Spectra (LPS) in the context of remote sensing along more diversified strategies. ...
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Learning approaches for large-scale remote sensing image classification
... Chapter 4 Learning iterative processes to enhance classification maps Convolutional neural networks have become one of the most studied methods for pix- elwise image classification, both in natural images and in ...
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Advances in remote sensing of cultivated landscapes at LISAH
... Reference : Lagouarde, J.-P.; Bach, M.; Sobrino, J. A.; Boulet, G.; Briottet, X.; Cherchali, S.; Coudert, B.; Dadou, I.; Dedieu, G.; Gamet, P.; Hagolle, O.; Jacob, F.; Nerry, F.; Olioso, A.; Ottlé, C.; louis Roujean, J. ...
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Fusion of heterogeneous remote sensing images by credibilist methods
... systems, remote sensing data to be exploited have become increasingly rich and ...heterogeneous remote sensing images processing at high ...
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A Semantic Retrieval System for Remote Sensing Web Platforms
... How to program computers to process and analyze large amounts of natural language data.... Workflow[r] ...
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A Semantic Retrieval System for Remote Sensing Web Platforms
... of remote sensing operations shared by different processing ...Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII–4, ...
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Use of remote sensing imagery for geotraceability in agriculture
... standards (1 rts & 2 nd pillars…) Minimise risks Minimise risks (Healthy, Safety…) Food claim Food claim (labels, certifications…) Help farmers Help farmers (Farm management…).. Op[r] ...
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Characterizing the complexity of landscape boundaries by remote sensing
... Keywords: boundary, covert, landscape indices, landscape physiognomy, fragmentation, diversity, remote sensing Abstract This paper presents a method for characterizing the complexity of landscape boundaries ...
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Ground Data are Essential for Biomass Remote Sensing Missions
... essential that the planned missions make use of accurate ground estimates of carbon stocks to 101.. train their inversion algorithms and validate their products.[r] ...
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Design and development of an airborne microwave radiometer for atmospheric sensing
... The major contributions of this thesis include the system-level design of NAST-K, the development of the video amplifier and embedded environmental monitor, and the ana[r] ...
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Remote sensing of the proton aurora characteristics from IMAGE-FUV
... The values of the calculated SI12 counts per incident unit proton flux for the estimated mean proton energies are derived from the second efficiency curve and are equal to 18 counts for [r] ...
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Multifractal analysis for multivariate data with application to remote sensing
... hyperspectral remote sensors, which requires the development of new processing methods capable of, first, extracting spatial information, and, second, combining spectral and spatial information in the processing ...
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Use of passive microwave remote sensing to monitor soil moisture
... proved to be very appropriate. 2.2. Vegetation emission At low frequencies (f ∼ 0.3-2 GHz), the emission of a vegetation canopy can be well approximated by a simple radiative transfer (R.T.) model, hereafter ...
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Generation of forest height and biomass maps of a boreal forest using remote sensing data form TanDEM-X, SRTM, Landsat and airborne laser scanning
... Satellite remote sensing can be used to estimate forest biomass and monitor its changes on a global scale. Many studies have proposed biomass mapping methods using data from [r] ...
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Orfeo ToolBox: open source processing of remote sensing images
... Fig. 6 Extract of a Crop Type map and LAI map produced by Sentinel-2 for Agriculture project over Czech Republic in March 2016 (in orange winter rapeseed, in yellow winter cereals and in Grey fodder crops). The full map ...
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