Search results for "Series"
showing 10 items of 1193 documents
TISSBERT: A benchmark for the validation and comparison of NDVI time series reconstruction methods
2018
[EN] This paper introduces the Time Series Simulation for Benchmarking of Reconstruction Techniques (TISSBERT) dataset, intended to provide a benchmark for the validation and comparison of time series reconstruction methods. Such methods are routinely used to estimate vegetation characteristics from optical remotely sensed data, where the presence of clouds decreases the usefulness of the data. As for their validation, these methods have been compared with previously published ones, although with different approaches, which sometimes lead to contradictory results. We designed the TISSBERT dataset to be generic so that it could simulate realistic reference and cloud-contaminated time series …
Land-use changes in an agro-pastoral area (Djougou, Benin) from Landsat archive images (1984 and 2012): a regressive approach combining remote sensin…
2018
Extended abstract:The vegetation of the district of Djougou is affected by large changes due to tree logging, crop field clearing and grazing by increasing numbers of livestock. The dynamics of the landscape is analyzed with a time series of Landsat satellite images (1984-2012). A regressive approach, exploiting the field observations and semi-structured interviews conducted in 2012-2013 in the Bakou-Wewe territory, documents the evolution of land use and facilitates the analysis of Landsat images. An original procedure targets the building of Region of interest (ROIs) for the historic images for which no available field observations exists. The study area is located in central Benin (Plate…
Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes
2018
In this work we evaluate multi-output (MO) Gaussian Process (GP) models based on the linear model of coregionalization (LMC) for estimation of biophysical parameter variables under a gap filling setup. In particular, we focus on LAI and fAPAR over rice areas. We show how this problem cannot be solved with standard single-output (SO) GP models, and how the proposed MO-GP models are able to successfully predict these variables even in high missing data regimes, by implicitly performing an across-domain information transfer. CICYT TIN2015-64210-R In this work we evaluate multi-output (MO) Gaussian Process (GP) models based on the linear model of coregionalization (LMC) for estimation of biophy…
Hydrogen bond properties of saccharide matrices studied through Infrared Water Association Band
2010
Hydrogen bond properties of saccharide matrices studied through Infrared Water Association Band
Itsemurhatartunnan taikauskosta: The Moth Diaries (2011) ja 13 Reasons Why (2017)
2018
Artikkeli käsittelee kahden itsemurhaa kuvaavan populaarikulttuurin tapausesimerkin, The Moth Diaries -elokuvan ja 13 Reasons Why -sarjan, ja tabun käsitteen välityksellä itsemurhaan liitettyä tartunnan pelkoa ja tämän pelon ilmenemistä viihteen ja median representaatioita säätelevässä Werther-efektissä. Keväällä 2017 julkaistun kohutun 13 Reasons Why -Netflix-sarjan ensimmäisen kauden vastaanotto ilmentää sosiologien, psykologien ja kansanterveystieteilijöiden tunnetuksi tekemää Werther-efektiä, median välittämäksi pelättyä itsemurhatartuntaa. Kanadalainen kauhudraama The Moth Diaries (2011) taas käsittelee sisällössään vanhemmalta lapselle periytyvää itsemurhatartuntaa vampyyrin hahmon vä…
Time domain symmetry parameters analysis for series arc fault detection
2022
This paper presents a feasibility study of exploiting the symmetry of some parameters for series arc fault detection in electrical circuits. The considered parameters are defined in the time domain and they are based on the current signal derivative and the evaluation of cross-correlation between subsequent observation windows. The analysis is carried out for AC systems, starting from an experimental characterization, which has been carried out in accordance with the Standard UL 1699 requirements for "unwanted tripping tests"and "operation inhibition tests"of arc fault circuit interrupters (AFCIs). The results obtained in different load conditions show that the proposed parameters can be us…
Performance Improvement of Grid-Integrated Doubly Fed Induction Generator under Asymmetrical and Symmetrical Faults
2023
The doubly fed induction generator (DFIG)-based wind energy conversion system (WECS) suffers from voltage and frequency fluctuations due to the stochastic nature of wind speed as well as nonlinear loads. Moreover, the high penetration of wind energy into the power grid is a challenge for its smooth operation. Hence, symmetrical faults are most intense, inflicting the stator winding to low voltage, disturbing the low-voltage ride-through (LVRT) functionality of a DFIG. The vector control strategy with proportional–integral (PI) controllers was used to control rotor-side converter (RSC) and grid-side converter (GSC) parameters. During a symmetrical fault, however, a series grid-side converter…
Vegetation series as a marker of interactions between rural settlements and landscape: new insights from the archaeological record in Western Sicily
2020
[EN] Plant communities are complex and dynamic elements of the landscape, intertwined with both natural factors and human activities. Vegetation series reflect the environmental characteristics of the landscape, but also the anthropic impact, one of the exogenous forces that most profoundly affects the landscape formation process. This paper aims to investigate the interactions between long-term human settlement catchment areas and vegetation series. The case study area of the Sicani Mountains (Central-Western Sicily) proved to be an ideal place to perform GIS-based spatial analysis in order to compare a data set of rural archaeological sites and land units created through the mapping of ve…
Estimating aggregated nutrient fluxes in four Finnish rivers via Gaussian state space models
2013
Reliable estimates of the nutrient fluxes carried by rivers from land-based sources to the sea are needed for efficient abatement of marine eutrophication. Although nutrient concentrations in rivers generally display large temporal variation, sampling and analysis for nutrients, unlike flow measurements, are rarely performed on a daily basis. The infrequent data calls for ways to reliably estimate the nutrient concentrations of the missing days. Here, we use the Gaussian state space models with daily water flow as a predictor variable to predict missing nutrient concentrations for four agriculturally impacted Finnish rivers. Via simulation of Gaussian state space models, we are able to esti…
An Examination of Tourist Arrivals Dynamics Using Short-Term Time Series Data: A Space—Time Cluster Approach
2013
The purpose of this study is to examine the development of Italian tourist areas ( circoscrizioni turistiche) through a cluster analysis of short time series. The technique is an adaptation of the functional data analysis approach developed by Abraham et al (2003), which combines spline interpolation with k-means clustering. The findings indicate the presence of two patterns (increasing and stable) averagely characterizing groups of territories. Moreover, tests of spatial contiguity suggest the presence of ‘space–time clusters’; that is, areas in the same ‘time cluster’ are also spatially contiguous. These findings appear to be more robust in particular for those series characterized by an…