Showing 2,621 - 2,640 results of 2,648 for search '"satellites"', query time: 0.08s Refine Results
  1. 2621
  2. 2622

    Analysis of the long-range transport of the volcanic plume from the 2021 Tajogaite/Cumbre Vieja eruption to Europe using TROPOMI and ground-based measurements by P. Hedelt, J. Reichardt, F. Lauermann, B. Weiß, N. Theys, A. Redondas, A. Barreto, O. Garcia, D. Loyola

    Published 2025-01-01
    “…Transport and dispersion of the volcanic emissions were monitored by ground-based stations and satellite instruments alike. In particular, the spectrometric fluorescence and Raman lidar for atmospheric moisture sensing (RAMSES) at the Lindenberg Meteorological Observatory measured the plume of the strongest Tajogaite eruption of 22–23 September 2021 over northeastern Germany 4 d later. …”
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  3. 2623

    Modeling regional aboveground carbon stock dynamics affected by land use and land cover changes by A.D. Malik, M.C.W. Arief, S. Withaningsih, P. Parikesit

    Published 2024-01-01
    “…Vegetation biomass was assessed using an allometric equation, and aboveground carbon stock data were extrapolated to the landscape scale using a linear regression model of measured carbon stocks and the Normalized Difference Vegetation Index derived from recent satellite imagery.FINDINGS: Vegetated areas were predominant in 2009 and 2021. …”
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  4. 2624
  5. 2625

    Estimation of Suspended Sediment Concentration from Remote Sensing and In Situ Measurement over Lake Tana, Ethiopia by Zelalem R. Womber, Fasikaw A. Zimale, Mebrahtom G. Kebedew, Bekalu W. Asers, Nikole M. DeLuca, Christian D. Guzman, Seifu A. Tilahun, Benjamin F. Zaitchik

    Published 2021-01-01
    “…The result shows that satellite data like the MODIS-Terra imagery could be used to monitor and obtain past records of SSC with the developed equation. …”
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    Article
  6. 2626

    Introducing the SMAP L4 Products and Investigating the Spatio-Temporal Variability of Soil Moisture in Iran by Ebrahim Asadi Oskouei, Leila Godarzy, Jalil Helali

    Published 2022-03-01
    “…Hence, in recent years, numerous satellite-based methods have been developed for estimating and modeling the surface soil moisture. …”
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    Article
  7. 2627

    A CO<sub>2</sub>–Δ<sup>14</sup>CO<sub>2</sub> inversion setup for estimating European fossil CO<sub>2</sub> emissions by C. Gómez-Ortiz, G. Monteil, G. Monteil, S. Basu, S. Basu, M. Scholze

    Published 2025-01-01
    “…Top-down methods, such as the assimilation of in situ and satellite observations of different tracers (e.g., <span class="inline-formula">CO<sub>2</sub></span>, <span class="inline-formula">CO</span>, <span class="inline-formula">Δ<sup>14</sup>CO<sub>2</sub></span>, <span class="inline-formula">XCO<sub>2</sub></span>), have been increasingly used for this purpose. …”
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  8. 2628

    Construction of “Biomigration – Regional Cooling” Multi-functional Ecological Network in Wuhan Urban Agglomeration by Jiajie LI, Yuanyuan GU, Zhong XING

    Published 2025-01-01
    “…Based on land cover data, satellite remote sensing data and other sources of data, and by integrating the methods of MSPA, landscape connectivity analysis and surface temperature inversion, 22 biodiversity and 27 regional cooling sources are identified, both of which are distributed in the northeastern and southern parts of the research area. …”
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    Article
  9. 2629
  10. 2630

    Comparison of Field and Virtual Vegetation Surveys Conducted Using Uncrewed Aircraft System (UAS) Imagery at Two Coastal Marsh Restoration Projects by Aaron N. Schad, Molly K. Reif, Joseph H. Harwood, Christopher L. Macon, Lynde L. Dodd, Katie L. Vasquez, Kevin D. Philley, Glenn E. Dobson, Katie M. Steinmetz

    Published 2025-01-01
    “…Uncrewed aircraft system (UAS) technology can help fill data gaps between high-to-moderate spatial resolution (e.g., 1–30 m) satellite imagery, manned airborne data, and traditional field surveys, yet it has not been thoroughly evaluated in a virtual capacity as an alternative to traditional field vegetation plot surveys. …”
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  11. 2631

    Temperatura de superficie en el Valle del Río Neuquén Utilizando Imágenes LANDSAT by Marisa Gloria Cogliati

    Published 2011-12-01
    “…The calculation of surface temperature using LANDSAT imagery should include surface meteorological data: atmospheric water vapor content and mean air temperature near to the surface, simultaneously to the passage of the satellite. The data were corrected using Atmospheric Correction Parameter Calculator, available online. …”
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  12. 2632

    Review of gridded climate products and their use in hydrological analyses reveals overlaps, gaps, and the need for a more objective approach to selecting model forcing datasets by K. R. Mankin, S. Mehan, T. R. Green, D. M. Barnard, D. M. Barnard

    Published 2025-01-01
    “…Gridded datasets built on ground-based observations (G; <span class="inline-formula"><i>n</i>=</span> 20), satellite imagery (S; <span class="inline-formula"><i>n</i>=</span> 20), and/or reanalysis products (R; <span class="inline-formula"><i>n</i>=</span> 23) are compiled and described, with focus on the characteristics that hydrologic investigators may find useful in discerning acceptable datasets (variables, coverage, resolution, accessibility, and latency). …”
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  13. 2633

    Patterns and wavelet coherence analysis of tidal dynamics and chlorophyll a concentration by M.N. Hidayat, R. Wafdan, M. Ramli, Z.A. Muchlisin, S. Rizal

    Published 2024-07-01
    “…Additionally, hourly chlorophyll a data for January 2022 were acquired from the geostationary meteorological satellite Himawari-8, and the rate of change of chlorophyll a was determined through chlorophyll a calculations. …”
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  14. 2634
  15. 2635

    An Arctic sea ice concentration data record on a 6.25&thinsp;km polar stereographic grid from 3 years of Landsat-8 imagery by H.-S. Jung, S.-M. Lee, S.-M. Lee, J.-H. Kim, K. Lee

    Published 2025-01-01
    “…The coverage of Arctic sea ice (i.e. sea ice concentration (SIC)) has been monitored since 1972 using satellite passive microwave (PMW) measurements because of their extensive coverage and all-weather capability. …”
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  16. 2636

    Carbon stock dynamics of forest to oil palm plantation conversion for ecosystem rehabilitation planning by D. Frianto, E. Sutrisno, A. Wahyudi, E. Novriyanti, W.C. Adinugroho, A.S. Yunianto, H. Kurniawan, H. Khotimah, A. Windyoningrum, I.W.S. Dharmawan, H.L. Tata, S. Suharti, H.H. Rachmat, E.M. Lim

    Published 2024-10-01
    “…Additionally, it highlights their role in ecosystem restoration initiatives and the better management of forest peatland regions.METHODS: A spatial analysis was conducted on Landsat 5 and 8 satellite images by using shapefile data stored within the Google Earth Engine platform. …”
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  17. 2637
  18. 2638

    Evaluation of the WRF-Chem performance for the air pollutants over the United Arab Emirates by Y. Yarragunta, D. Francis, R. Fonseca, N. Nelli

    Published 2025-02-01
    “…The assessment of WRF-Chem performance involves comparisons with ground-based observations for meteorological parameters and satellite retrievals from the TROPOspheric Monitoring Instrument (TROPOMI) for gaseous pollutants and the Moderate Resolution Imaging Spectroradiometer (MODIS) for aerosols. …”
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  19. 2639

    Estimación de la cubierta de nieve en el norte de la provincia del Neuquén. by Marisa Gloria Cogliati, Damián Groch, Florencia Gisella Finessi

    Published 2013-12-01
    “…This paper present the utilization of a binary method for the calculation of the snow covered area in the Andes, in the northern of the Neuquén province using LANDSAT imagery and MOD10A1 MODIS products for two satellite scenes one summer scene and a winter one both from year 2000. …”
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  20. 2640

    A machine-learning reconstruction of sea surface <i>p</i>CO<sub>2</sub> in the North American Atlantic Coastal Ocean Margin from 1993 to 2021 by Z. Wu, Z. Wu, W. Lu, A. Roobaert, L. Song, X.-H. Yan, W.-J. Cai

    Published 2025-01-01
    “…The observation-based reconstruction was trained using Surface Ocean CO<span class="inline-formula"><sub>2</sub></span> Atlas (SOCAT) observations as observational values, with various satellite-derived and reanalysis environmental variables known to control sea surface <span class="inline-formula"><i>p</i></span>CO<span class="inline-formula"><sub>2</sub></span> as model inputs. …”
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