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Author Ali, M.M.; Nagamani, P.V.; Sharma, N.; Venu Gopal, R.T.; Rajeevan, M.; Goni, G.J.; Bourassa, M.A.
Title Relationship between ocean mean temperatures and Indian summer monsoon rainfall: Ocean mean temperature and Indian summer monsoon rainfall Type Journal Article
Year 2015 Publication Atmospheric Science Letters Abbreviated Journal Atmos. Sci. Lett.
Volume 16 Issue 3 Pages 408-413
Keywords ocean mean temperature; Indian summer monsoon rainfall; remote sensing; sea surface height anomaly
Abstract Besides improving the understanding of the physics of the challenging problem of monsoon prediction, it is necessary to evaluate the efficiency of the input parameters used in models. Sea-surface temperature (SST) is the only oceanographic parameter applied in most of the monsoon forecasting models, which many times do not represent the heat energy available to the atmosphere. We studied the impacts of ocean mean temperature (OMT), representing the heat energy of the upper ocean, and SST on the all India summer monsoon rainfall through a statistical relation during 1993�2013 and found that OMT has a better link than SST.
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ISSN 1530261X ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number FCI @ refbase @ Serial 688
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Author Barnes, B.B.; Hu, C.; Holekamp, K.L.; Blonski, S.; Spiering, B.A.; Palandro, D.; Lapointe, B.
Title Use of Landsat data to track historical water quality changes in Florida Keys marine environments Type Journal Article
Year 2014 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment
Volume 140 Issue Pages 485-496
Keywords Water quality; Remote sensing; Atmospheric correction; Seagrass
Abstract Satellite remote sensing has shown the advantage of water quality assessment at synoptic scales in coastal regions, yet modern sensors such as SeaWiFS or MODIS did not start until the late 1990s. For non-interrupted observations, only the Landsat series have the potential to detect major water quality events since the 1980s. However, such ability is hindered by the unknown data quality or consistency through time. Here, using the Florida Keys as a case study, we demonstrate an approach to identify historical water quality events through improved atmospheric correction of Landsat data and cross-validation with concurrent MODIS data. After aggregation of the Landsat-5 Thematic Mapper (TM) 30-m pixels to 240-m pixels (to increase the signal-to-noise ratio), a MODIS-like atmospheric correction approach using the Landsat shortwave-infrared (SWIR) bands was developed and applied to the entire Landsat-5 TM data series between 1985 and 2010. Remote sensing reflectance (RRS) anomalies from Landsat (2 standard deviations from a pixel-specific monthly climatology) were found to detect MODIS RRS anomalies with over 90% accuracy for all three bands for the same period of 2002–2010. Extending this analysis for the entire Landsat-5 time-series revealed RRS anomaly events in the 1980s and 1990s, some of which are corroborated by known ecosystem changes due in part to changes in local freshwater flow. Indeed, TM RRS anomalies were shown to be useful in detecting shifts in seagrass density, turbidity increases, black water events, and phytoplankton blooms. These findings have large implications for ongoing and future water quality assessment in the Florida Keys as well as in many other coastal regions.
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ISSN 0034-4257 ISBN Medium
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Notes Approved no
Call Number FCI @ refbase @ Serial 479
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Author Everill, P.H.; Primack, R.B.; Ellwood, E.R.; Melaas, E.K.
Title Determining past leaf-out times of New England's deciduous forests from herbarium specimens Type Journal Article
Year 2014 Publication American Journal of Botany Abbreviated Journal American Journal of Botany
Volume 101 Issue 8 Pages 1293-1300
Keywords climate change; forests; herbarium specimens; leaf-out New England; phenology; remote sensing; trees
Abstract • Premise of the study: There is great interest in studying leaf-out times of temperate forests because of the importance of leaf-out in controlling ecosystem processes, especially in the face of a changing climate. Remote sensing and modeling, combined with weather records and field observations, are increasing our knowledge of factors affecting variation in leaf-out times. Herbarium specimens represent a potential new source of information to determine whether the variation in leaf-out times observed in recent decades is comparable to longer time frames over past centuries. • Methods: Here we introduce the use of herbarium specimens as a method for studying long-term changes in leaf-out times of deciduous trees. We collected historical leaf-out data for the years 1834–2008 from common deciduous trees in New England using 1599 dated herbarium specimens with young leaves. • Key results: We found that leaf-out dates are strongly affected by spring temperature, with trees leafing out 2.70 d earlier for each degree C increase in mean April temperature. For each degree C increase in local temperature, trees leafed out 2.06 d earlier. Additionally, the mean response of leaf-out dates across all species and sites over time was 0.4 d earlier per decade. Our results are of comparable magnitude to results from studies using remote sensing and direct field observations. • Conclusions: Across New England, mean leaf-out dates varied geographically in close correspondence with those observed in studies using satellite data. This study demonstrates that herbarium specimens can be a valuable source of data on past leaf-out times of deciduous trees.
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Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0002-9122 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number FCI @ refbase @ Serial 577
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Author Healey, N.; Oberbauer, S.; Hollister, R.
Title Examination of Surface Temperature Modification by Open-Top Chambers along Moisture and Latitudinal Gradients in Arctic Alaska Using Thermal Infrared Photography Type Journal Article
Year 2016 Publication Remote Sensing Abbreviated Journal Remote Sensing
Volume 8 Issue 1 Pages 54
Keywords remote sensing; thermal imagery; open-top chamber; Arctic; Alaska
Abstract Passive warming manipulation methodologies, such as open-top chambers (OTCs), are a meaningful approach for interpretation of impacts of climate change on the Arctic tundra biome. The magnitude of OTC warming has been studied extensively, revealing an average plot-level warming of air temperature that ranges between 1 and 3 degrees C as measured by shielded resistive sensors or thermocouples. Studies have also shown that the amount of OTC warming depends in part on location climate, vegetation, and soil properties. While digital infrared thermometers have been employed in a few comparisons, most of the focus of the effectiveness of OTC warming has been on air or soil temperature rather than tissue or surface temperatures, which directly translate to metabolism. Here we used thermal infrared (TIR) photography to quantify tissue and surface temperatures and their spatial variability at a previously unavailable resolution (3-6 mm(2)). We analyzed plots at three locations that are part of the International Tundra Experiment (ITEX)-Arctic Observing Network (AON-ITEX) network along both moisture and latitudinal gradients spanning from the High Arctic (Barrow, AK, USA) to the Low Arctic (Toolik Lake, AK, USA). Our results show a range of OTC surface warming from 2.65 to 1.27 degrees C (31%-10%) at our three sites. The magnitude of surface warming detected by TIR imagery in this study was comparable to increases in air temperatures previously reported for these sites. However, the thermal images revealed wide ranges of surface temperatures within the OTCs, with some surfaces well above ambient unevenly distributed within the plots under sunny conditions. We note that analyzing radiometric temperature may be an alternative for future studies that examine data acquired at the same time of day from sites that are in close geographic proximity to avoid the requirement of emissivity or atmospheric correction for validation of results. We foresee future studies using TIR photography to describe species-level thermodynamics that could prove highly valuable toward a better understanding of species-specific responses to climate change in the Arctic.
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ISSN 2072-4292 ISBN Medium
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Notes Approved no
Call Number FCI @ refbase @ Serial 947
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Author Hu, L.Q.; Wilhelmi, O.V.; Uejio, C.
Title Assessment of heat exposure in cities: Combining the dynamics of temperature and population Type Journal Article
Year 2019 Publication Science of the Total Environment Abbreviated Journal
Volume 655 Issue Pages 1-12
Keywords Heat exposure; Urban heat island; Excessive heat events; Satellite remote sensing; Commute-adjusted population
Abstract Urban populations are typically subject to higher outdoor heat exposure than nearby rural areas due to the urban heat island (UHI) effect. Excessive Heat Events (EHEs) further amplify heat stress imposed on city dwellers. Heat exposure largely depends on the spatial and temporal distribution of temperature and population, however, few studies considered their concurrent variations. To better characterize exposure to heat in the context of long-term urban climatology and during excessive heat events, this study focuses on the dynamics of ambient temperature and population and proposes an open-data-based approach for spatiotemporal analysis of urban exposure to heat by using air temperature estimated from satellite observations and commute-adjusted diurnal population calculated primarily on the Census Transportation Planning Products. We use the metropolitan area of Chicago, U.S.A. as a case study to analyze the urban heat pattern changes during EHEs and their influence on population heat exposure diurnally. The intra-urban spatiotemporal analysis reveals that the population's exposure to heat changes fast as the nighttime temperature increases and the EHEs increase the spatial exposure impact due to the ubiquitous higher nocturnal temperature over the Chicago metropolitan area. “Hotspots” associated with a higher temperature and greater number of urban residents are identified in the heat exposure map. Meanwhile, the spatial extent of high ambient exposure areas varies diurnally. Our study contributes to a better understanding of the dynamic heat exposure patterns in urban areas. The approaches presented in this article can be used for informing heat mitigation as well as emergency response strategies at specific times and locations.
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Call Number FCI @ refbase @ Serial 2222
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Author Klemas, V.; Finkl, C.W.; Kabbara, N.
Title Remote Sensing of Soil Moisture: An Overview in Relation to Coastal Soils Type Journal Article
Year 2014 Publication Journal of Coastal Research Abbreviated Journal Journal of Coastal Research
Volume 296 Issue Pages 685-696
Keywords Soil moisture sensing; remote sensing; soil moisture; microwave radiometry of soil moisture; coastal soil moisture
Abstract Soil moisture plays an important role in the exchange of water and heat energy between the land and atmosphere and is used in studies of global climate change. Soil moisture data are also required for reservoir management, early warning of droughts, irrigation scheduling, and crop yield forecasting. Coastal soils in general span the gamut of soil properties necessary for agriculture and maintaining natural environments, including transitional wetlands. Beach characteristics, such as soil moisture, grain size and type, are needed for determining substrate-bearing strength, modeling beach erosion, and planning beach nourishment. Because microwave radiation from soil is strongly dependent on moisture content, soil moisture has traditionally been mapped with airborne microwave radiometers. Innovative antenna technology has enabled microwave radiometers on satellites, such as Soil Moisture and Ocean Salinity and Aqua, to measure soil moisture on a global scale. Better corrections for surface roughness, vegetation cover, soil temperature, and topography must still be devised, and techniques for sensing soil moisture beyond the top few centimeters developed.
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0749-0208 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number FCI @ refbase @ Serial 553
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Author Malone, S.
Title Monitoring Changes in Water Use Efficiency to Understand Drought Induced Tree Mortality Type Journal Article
Year 2017 Publication Forests Abbreviated Journal Forests
Volume 8 Issue 10 Pages 365
Keywords drought resistance; California forests; disturbance ecology; remote sensing; MODIS; ecological monitoring
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ISSN 1999-4907 ISBN Medium
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Notes Approved no
Call Number FCI @ refbase @ Serial 1781
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Author Medeiros, S.; Hagen, S.; Chaouch, N.; Feyen, J.; Temimi, M.; Weishampel, J.; Funakoshi, Y.; Khanbilvardi, R.
Title Assessing the Performance of a Northern Gulf of Mexico Tidal Model Using Satellite Imagery Type Journal Article
Year 2013 Publication Remote Sensing Abbreviated Journal Remote Sensing
Volume 5 Issue 11 Pages 5662-5679
Keywords model validation; tides; ADCIRC; multi-sensor; remote sensing; SAR; inundation detection
Abstract Tidal harmonic analysis simulations along with simulations spanning four specific historical time periods in 2003 and 2004 were conducted to test the performance of a northern Gulf of Mexico tidal model. A recently developed method for detecting inundated areas based on integrated remotely sensed data (i.e., Radarsat-1, aerial imagery, LiDAR, Landsat 7 ETM+) was applied to assess the performance of the tidal model. The analysis demonstrates the applicability of the method and its agreement with traditional performance assessment techniques such as harmonic resynthesis and water level time series analysis. Based on the flooded/non-flooded coastal areas estimated by the integrated remotely sensed data, the model is able to adequately reproduce the extent of inundation within four sample areas from the coast along the Florida panhandle, correctly identifying areas as wet or dry over 85% of the time. Comparisons of the tidal model inundation to synoptic (point-in-time) inundation areas generated from the remotely sensed data generally agree with the results of the traditional performance assessment techniques. Moreover, this approach is able to illustrate the spatial distribution of model inundation accuracy allowing for targeted refinement of model parameters.
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ISSN 2072-4292 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number FCI @ refbase @ Serial 442
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Author Nowell,; Holmes,; Robertson,; Teske,; Hiers,
Title A New Picture of Fire Extent, Variability, and Drought Interaction in Prescribed Fire Landscapes: Insights From Florida Government Records Type Journal Article
Year 2018 Publication Geophysical Research Letters Abbreviated Journal Geophys. Res. Lett.
Volume 45 Issue 15 Pages 7874-7884
Keywords prescribed fire; wildfire; biomass burning; climate; remote sensing
Abstract Florida, United States, government records provide a new resource for studying fire in landscapes managed with prescribed fire. In Florida, most fire area (92%) is prescribed. Current satellite fire products, which underpin most air pollution emission inventories, detect only 25% of burned area, which alters airborne emissions and environmental impacts. Moreover, these satellite products can misdiagnose spatiotemporal variability of fires. Overall fire area in Florida decreases during drought conditions as prescribed fires are avoided, but satellite data do not reflect this pattern. This pattern is consistent with prescribed fire successfully reducing overall fire risk and damages. Human management of prescribed fires and fuels can, therefore, break the conventional link between drought and wildfire and play an important role in mitigating rising fire risk in a changing climate. These results likely apply in other regions of the world with similar fire regimes.
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Series Editor Series Title Abbreviated Series Title
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ISSN 0094-8276 ISBN Medium
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Notes Approved no
Call Number FCI @ refbase @ Serial 2159
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Author Oliver-Cabrera, T.; Wdowinski, S.
Title InSAR-Based Mapping of Tidal Inundation Extent and Amplitude in Louisiana Coastal Wetlands Type Journal Article
Year 2016 Publication Remote Sensing Abbreviated Journal Remote Sensing
Volume 8 Issue 5 Pages 393
Keywords InSAR; wetlands; tidal inundation; remote sensing
Abstract The Louisiana coast is among the most productive coastal areas in the US and home to the largest coastal wetland area in the nation. However, Louisiana coastal wetlands have been disappearing at an alarming rate due to natural and anthropogenic processes, including sea level rise, land subsidence and infrastructure development. Wetland loss occurs mainly along the tidal zone, which varies in width and morphology along the Louisiana shoreline. In this study, we use Interferometric Synthetic Aperture Radar (InSAR) observations to detect the extent of the tidal inundation zone and evaluate the interaction between tidal currents and coastal wetlands. Our data consist of ALOS and Radarsat-1 observations acquired between 2006-2011 and 2003-2008, respectively. Interferometric processing of the data provides detailed maps of water level changes in the tidal zone, which are validated using sea level data from a tide gauge station. Our results indicate vertical tidal changes up to 30 cm and horizontal tidal flow limited to 5-15 km from open waters. The results also show that the tidal inundation is disrupted by various man-made structures, such as canals and roads, which change the natural tidal flow interaction with the coast.
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ISSN 2072-4292 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number FCI @ refbase @ Serial 1095
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Author Purkis, S.J.
Title Remote Sensing Tropical Coral Reefs: The View from Above Type Journal Article
Year 2018 Publication Annual Review of Marine Science Abbreviated Journal Annu. Rev. Mar. Sci.
Volume 10 Issue 1 Pages 149-168
Keywords remote sensing; carbonate reefs; climate change
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ISSN 1941-1405 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number FCI @ refbase @ Serial 1930
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Author Wentz., F. J.; Ricciardulli, L.; Rodrigues, E.; Stiles, B. W.; Bourassa, M. A.; et al.
Title Evaluating and Extending the Ocean Wind Climate Data Record Type Journal Article
Year 2017 Publication IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Abbreviated Journal
Volume 10 Issue 5 Pages 2165-2185
Keywords radar cross section; remote sensing; satellite applications; sea surface; wind
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Call Number FCI @ refbase @ Serial 1350
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Author Wilson, C.H.; Caughlin, T.T.; Rifai, S.W.; Boughton, E.H.; Mack, M.C.; Flory, S.L.
Title Multi-decadal time series of remotely sensed vegetation improves prediction of soil carbon in a subtropical grassland Type Journal Article
Year 2017 Publication Ecological Applications Abbreviated Journal Ecol Appl
Volume 27 Issue 5 Pages 1646-1656
Keywords enhanced vegetation index; Google Earth Engine; Landsat time series; remote sensing; soil carbon sequestration; soil organic carbon; subtropical grasslands
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1051-0761 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number FCI @ refbase @ Serial 1599
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Author Wurl, O.; Bird, K.; Cunliffe, M.; Landing, W.M.; Miller, U.; Mustaffa, N.I.H.; Ribas-Ribas, M.; Witte, C.; Zappa, C.J.
Title Warming and Inhibition of Salinization at the Ocean's Surface by Cyanobacteria Type Journal Article
Year 2018 Publication Abbreviated Journal Geophys Res Lett
Volume 45 Issue 9 Pages 4230-4237
Keywords cyanobacteria; remote sensing; sea surface microlayer; sea surface salinity; sea surface temperature; skin layer
Abstract This paper describes high-resolution in situ observations of temperature and, for the first time, of salinity in the uppermost skin layer of the ocean, including the influence of large surface blooms of cyanobacteria on those skin properties. In the presence of the blooms, large anomalies of skin temperature and salinity of 0.95 degrees C and -0.49 practical salinity unit were found, but a substantially cooler (-0.22 degrees C) and saltier skin layer (0.19 practical salinity unit) was found in the absence of surface blooms. The results suggest that biologically controlled warming and inhibition of salinization of the ocean's surface occur. Less saline skin layers form during precipitation, but our observations also show that surface blooms of Trichodesmium sp. inhibit evaporation decreasing the salinity at the ocean's surface. This study has important implications in the assessment of precipitation over the ocean using remotely sensed salinity, but also for a better understanding of heat exchange and the hydrologic cycle on a regional scale.
Address Lamont-Doherty Earth Observatory Columbia University Palisades NY USA
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Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0094-8276 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number FCI @ refbase @ Serial 2071
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Author Zhai, L.; Zhang, B.; Roy, S.S.; Fuller, D.O.; da Silveira Lobo Sternberg, L.
Title Remote sensing of unhelpful resilience to sea level rise caused by mangrove expansion: A case study of islands in Florida Bay, USA Type Journal Article
Year 2019 Publication Ecological Indicators Abbreviated Journal Ecological Indicators
Volume 97 Issue Pages 51-58
Keywords Island ecosystem; Sea level rise; Unhelpful resilience; Mangrove; Remote sensing; Florida Bay
Abstract Previous studies have found that vegetated coastal areas can increase their elevation indicating resilience to inundation by sea level rise (SLR), but the potential resilience were ignored or showed controversial results (i.e., soil accretion of vegetated areas vs. SLR). To estimate the resilience influences on 15 islands in Florida Bay (Florida, U.S.), our study used indicators (areas of the 15 islands and their mangrove forests) by analyzing 61-yr high-resolution historical aerial photographs and a 27-yr time-series of Landsat images. In these islands, coastal fringes are dominated by mangroves, and inland parts are dominated by brackish or freshwater species. Our results showed that: (1) despite rising sea levels, these low-lying islands significantly increased in area; (2) all of these islands had significant mangrove expansion, and the landward part of expansion led to the replacement of inland non-mangrove habitats; (3) there was a positive relationship between the increase of island area and mangrove expansion in these islands; (4) without the mangrove expansion, simulations showed that all of the islands had decreased areas by 2014 compared with that in 1953. On the basis of our spatial analyses and previous field studies in our study areas, these islands showed resilience to inundation and the mangrove expansion contributed to processes stabilizing these islands under SLR. Meanwhile, the mangrove expansion were partly at the expense of the habitats previously covered by non-mangrove species, thus potentially leading to a loss of plant diversity. Therefore, the mangrove expansion increased unhelpful resilience to maintain islands in a degraded state losing biodiversity, which should be considered in conservation accounting for future SLR. Moreover, the unhelpful resilience can be monitored by remote sensing based indicators, such as island area.
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ISSN 1470160X ISBN Medium
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Notes Approved no
Call Number FCI @ refbase @ Serial 2275
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