scholarly journals Towards Detecting Swath Events in TerraSAR-X Time Series to Establish NATURA 2000 Grassland Habitat Swath Management as Monitoring Parameter

2011 ◽  
Vol 3 (7) ◽  
pp. 1308-1322 ◽  
Author(s):  
Christian Schuster ◽  
Iftikhar Ali ◽  
Peter Lohmann ◽  
Annett Frick ◽  
Michael Förster ◽  
...  
Keyword(s):  
Time Series ◽  
Natura 2000 ◽  
Monitoring Parameter

scholarly journals Correction on “Towards Detecting Swath Events in TerraSAR-X Time Series to Establish NATURA 2000 Grassland Habitat Swath Management as Monitoring Parameter”

2012 ◽  
Vol 4 (8) ◽  
pp. 2455-2456 ◽  
Author(s):  
Christian Schuster ◽  
Iftikhar Ali ◽  
Peter Lohmann ◽  
Annett Frick ◽  
Michael Förster ◽  
...  
Keyword(s):  
Time Series ◽  
Natura 2000 ◽  
Monitoring Parameter

scholarly journals Effects of Legal Designation and Management of a Multiple-Use Protected Area on Local Sustainability

2018 ◽  
Vol 10 (9) ◽  
pp. 3176 ◽  
Author(s):  
David Rodríguez-Rodríguez ◽  
Iván López
Keyword(s):  
Time Series ◽  
Mixed Methods Research ◽  
Time Series Data ◽  
Subjective Effects ◽  
Natura 2000 ◽  
Economic Effects ◽  
Series Data ◽  
Multiple Use ◽  
Economic Variables ◽  
Local Sustainability

The designation of protected areas (PAs) entails environmental, social, and economic effects to local stakeholders through access restriction to natural resources. We used a mixed methods research framework that combines time series analysis and stakeholder surveys to elicit objective and subjective effects of legal and managerial designation of Sierra Cabrera-Bedar Natura 2000 site on local sustainability in south-eastern Spain. Firstly, 47 environmental, social, and economic variables for which official time series data were available were assessed using a multiple-paired-Before-After-Control-Impact research design, where “Impacts” were: (1) legal designation of Sierra Cabrera-Bedar as a Site of Community Importance (SCI); and (2) management implementation of the site as an Special Area of Conservation (SAC). The two municipalities having most of their territories in Sierra Cabrera-Bedar SCI/SAC were selected as ‘Cases’, whereas two similar municipalities outside the PA were chosen as ‘Controls’. Additionally, 13 local organisations pertaining to 11 socioeconomic guilds from case municipalities were surveyed on their perceived effects of the designation Sierra Cabrera-Bedar as an SAC on 28 social and economic variables. The effects of legal and managerial protection of the site on local sustainability were unclear although greater SAC sustainability is suggested, even though limited time series availability for the SAC period increases uncertainty. Local organisations perceived mostly limited and negative socioeconomic effects from SAC designation. Disagreement between statistical and perceptual results suggests use of time series analyses for accurate assessment of socioeconomic effects of PAs in Spain.

scholarly journals Contribution of free satellite time-series images to mapping plant communities in the Mediterranean Natura 2000 site: the example of Biguglia Pond in Corse (France)

2020 ◽  
Vol 41 (2) ◽  
pp. 181-191
Author(s):  
Sébastien Rapinel ◽  
Clémence Rozo ◽  
Pauline Delbosc ◽  
Frédéric Bioret ◽  
Jan-Bernard Bouzillé ◽  
...  
Keyword(s):  
Time Series ◽  
Plant Communities ◽  
Conservation Status ◽  
Natura 2000 ◽  
Natural Habitats ◽  
Biogeographical Region ◽  
The Mediterranean ◽  
Natura 2000 Site ◽  
Time Series Images ◽  
Sentinel 2

Mapping plant communities, which is essential to assess the conservation status of natural habitats, is currently based mainly on time-consuming field surveys without the use of satellite data. However, free image time-series with high spatial and temporal resolution have been available since 2015. This study assessed the contribution of Sentinel-2 time-series images to mapping the spatial distribution of 18 plant communities within a Natura 2000 site (1978 ha) located on the Mediterranean biogeographical region (Corsica, France). The method was based on random forest modeling of six Sentinel-2 images acquired from 26 February to 24 October 2017, which were calibrated and validated using a field vegetation map. The results showed that the 18 plant communities were modeled correctly, with 72% overall accuracy. The uncertainty map associated with the model indicated areas that required additional field observations.

Monitoring parameter change in time series models

2011 ◽  
Vol 20 (2) ◽  
pp. 171-199 ◽  
Author(s):  
Okyoung Na ◽  
Youngmi Lee ◽  
Sangyeol Lee
Keyword(s):  
Time Series ◽  
Time Series Models ◽  
Parameter Change ◽  
Monitoring Parameter

scholarly journals Intra-Annual Sentinel-2 Time-Series Supporting Grassland Habitat Discrimination

2021 ◽  
Vol 13 (2) ◽  
pp. 277
Author(s):  
Cristina Tarantino ◽  
Luigi Forte ◽  
Palma Blonda ◽  
Saverio Vicario ◽  
Valeria Tomaselli ◽  
...  
Keyword(s):  
Time Series ◽  
Majority Vote ◽  
Digital Terrain Model ◽  
Natura 2000 ◽  
Support Vector ◽  
Habitat Directive ◽  
Terrain Model ◽  
Habitat Discrimination ◽  
Grassland Habitats ◽  
Sentinel 2

The present study aims to discriminate four semi-arid grassland habitats in a Mediterranean Natura 2000 site, Southern Italy, involving 6210/E1.263, 62A0/E1.55, 6220/E1.434 and X/E1.61-E1.C2-E1.C4 (according to Annex I of the European Habitat Directive/EUropean Nature Information System (EUNIS) taxonomies). For this purpose, an intra-annual time-series of 30 Sentinel-2 images, embedding phenology information, were investigated for 2018. The methodology adopted was based on a two-stage workflow employing a Support Vector Machine classifier. In the first stage only four Sentinel-2 multi-season images were analyzed, to provide an updated land cover map from where the grassland layer was extracted. The layer obtained was then used for masking the input features to the second stage. The latter stage discriminated the four grassland habitats by analyzing several input features configurations. These included multiple spectral indices selected from the time-series and the Digital Terrain Model. The results obtained from the different input configurations selected were compared to evaluate if the phenology information from time-series could improve grassland habitats discrimination. The highest F1 values (95.25% and 80.27%) were achieved for 6210/E1.263 and 6220/E1.434, respectively, whereas the results remained stable (97,33%) for 62A0/E1.55 and quite low (75,97%) for X/E1.61-E1.C2-E1.C4. However, since for all the four habitats analyzed no single configuration resulted effective, a Majority Vote algorithm was applied to achieve a reduction in classification uncertainty.

The LDE-Type Flare Occurrence (1969-1993)

1994 ◽  
Vol 144 ◽  
pp. 279-282
Author(s):  
A. Antalová
Keyword(s):  
Time Series ◽  
Fourier Analysis ◽  
Sunspot Cycle ◽  
List Type ◽  
Type Number ◽  
Solar Cycles ◽  
Type Iv ◽  
Long Duration ◽  
Cycle Maximum ◽  
Flare Index

AbstractThe occurrence of LDE-type flares in the last three cycles has been investigated. The Fourier analysis spectrum was calculated for the time series of the LDE-type flare occurrence during the 20-th, the 21-st and the rising part of the 22-nd cycle. LDE-type flares (Long Duration Events in SXR) are associated with the interplanetary protons (SEP and STIP as well), energized coronal archs and radio type IV emission. Generally, in all the cycles considered, LDE-type flares mainly originated during a 6-year interval of the respective cycle (2 years before and 4 years after the sunspot cycle maximum). The following significant periodicities were found:• in the 20-th cycle: 1.4, 2.1, 2.9, 4.0, 10.7 and 54.2 of month,• in the 21-st cycle: 1.2, 1.6, 2.8, 4.9, 7.8 and 44.5 of month,• in the 22-nd cycle, till March 1992: 1.4, 1.8, 2.4, 7.2, 8.7, 11.8 and 29.1 of month,• in all interval (1969-1992):a)the longer periodicities: 232.1, 121.1 (the dominant at 10.1 of year), 80.7, 61.9 and 25.6 of month,b)the shorter periodicities: 4.7, 5.0, 6.8, 7.9, 9.1, 15.8 and 20.4 of month.Fourier analysis of the LDE-type flare index (FI) yields significant peaks at 2.3 - 2.9 months and 4.2 - 4.9 months. These short periodicities correspond remarkably in the all three last solar cycles. The larger periodicities are different in respective cycles.

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