Global Change: Remote sensing
Remote Sensing and Cropping Practices: A Review
... (RMSE < 0.81 cm, bias < 0.48 cm), suggesting that developing detection methods for the estimation of tillage changes may be possible. Still, several issues challenge regional to global scale remote ...
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Global-scale remote sensing of water isotopologues in the troposphere: representation of first-order isotope effects
... FTIR remote sensing observations are made within the MUSICA/NDACC (MUltiplatform remote Sensing of Iso- topologues for investigating the Cycle of Atmospheric wa- ter/Network for the Detection ...
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Remote sensing of phytoplankton groups in case 1 waters from global SeaWiFS imagery
... the global ocean is thus a prerequisite to the modeling of the marine carbon ...the global scale comes mainly from satellite ...not change much in 25 ...
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SAR Remote Sensing
... Sources : A Review of Interferometric Synthetic Aperture RADAR (InSAR) Multi-Track Approaches for the Retrieval of Earth’s Surface Displacements.. This is called orbital phase compon[r] ...
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A Bayesian Nonparametric Model Coupled with a Markov Random Field for Change Detection in Heterogeneous Remote Sensing Images
... for Change Detection in Heterogeneous Remote Sensing Images ∗ Jorge Prendes † , Marie Chabert ‡ , Fr´ ed´ eric Pascal § , Alain Giros ¶ , and Jean-Yves Tourneret ‡ ...years, remote ...
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Mobile and remote inertial sensing with atom interferometers
... and remote inertial sensing with cold atoms promises a new era of measurements for both applied and fundamental ...prospecting, remote object detection, and tidal chart correction—they may one day ...
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A Bayesian Nonparametric Model Coupled with a Markov Random Field for Change Detection in Heterogeneous Remote Sensing Images
... for Change Detection in Heterogeneous Remote Sensing Images ∗ Jorge Prendes † , Marie Chabert ‡ , Fr´ ed´ eric Pascal § , Alain Giros ¶ , and Jean-Yves Tourneret ‡ ...years, remote ...
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Belief Change Based on Global Minimisation
... belief change based on minimisation of ...that change between neighbours is exceptional; this assumption justifies global minimisation of ...involving change minimisation, including extrapola- ...
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Automatic Vehicle Trajectory Extraction by Aerial Remote Sensing
... in sensing technologies and image processing algorithms reduced the resources (time and costs) required for detailed traffic data collection, promoting the feasibility of site-based and vehicle-based naturalistic ...
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Remote Sensing of Industrial Palm Groves in Cameroon
... Chemura, A, van Duren, I, van Leeuwen, L. M 2015, ‘Determination of the age of oil palm from crown projection area detected from WorldView-2 multispectral remote sensing data: The case of Ejisu-Juaben ...
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Remote sensing and air quality in urban areas
... 18. SIFAKIS, N., SOULAKELLIS, N.A., PARONIS, D.K.: Quantitative Mapping of Air Pollution Density Using Earth Observations : a New Processing Method and Application to an Urban Area, Int. J. Remote Sensing, ...
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Optimal Transport for Data Fusion in Remote Sensing
... 3 MMRS/University of Zurich, Zurich, Switzerland 4 LETG/CNRS, Rennes, France ABSTRACT One of the main objective of data fusion is the integration of several acquisition of the same physical object, in order to build a ...
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Water, Megacities and Global Change
... In 1970, the United Nations identified three megacities. This number rose to 10 in 1990 and 28 in 2014. According to projections, there will be 41 by 2030, many located in the world’s least developed countries. ...
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Retrieval of Remote Sensing Images with Pattern Spectra Descriptors
... against global pattern spectra, and alternative local strategies using the largest aerial CBIR dataset that is publicly available, namely the UC Merced Landuse/Landcover dataset, where it achieves promising ...
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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
... of remote sensing operations shared by different processing ...Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII–4, ...
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Polygonization of Remote Sensing Classification Maps by Mesh Approximation
... The triangular mesh is iteratively optimized by perform- ing a local search, starting from an initial fine lattice. We sim- ulate a number of changes that transform the mesh, from T to T 0 , and construct a modifiable ...
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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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Shoreline detection using optical remote sensing A review
... 138. Klinger, T.; Ziems, M.; Heipke, C.; Hannover Schenke, H.W.; Ott, H.; Bremerhaven. Antarctic Coastline Detection using Snakes Extended version of a paper published in The International Archives of the Photogrammetry. ...
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Research-grade CMOS image sensors for remote sensing applications
... Keywords: APS, space, CMOS Image Sensor, cameras 1. INTRODUCTION With respect to CCDs, the technical advantages featured by CMOS Image Sensors (CIS) for space applications have been extensively presented in previous ...
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