Resultados de búsqueda - "optics"

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  1. Optical mapping compendium of structural variants across global cattle breeds por Talenti, A., Powell, J., Wragg, D., Chepkwony, Maurine, Fisch, A., Ferreira, B.R., Mercadante, Maria E.Z., Santos, I.M., Ezeasor, C.K., Obishakin, E.T., Muhanguzi, D., Amanyire, W., Silwamba, I., Muma, J.B., Mainda, G., Kelly, R.F., Toye, Philip G., Connelley, T., Prendergast, J.

    Publicado 2022
    “…To do this we generated 100X Bionano optical mapping data for 18 cattle of nine different ancestries, three continents and both cattle sub-species. …”
    Enlace del recurso
    Journal Article
  2. Assessing across-scale optical diversity and productivity relationships in grasslands of the Italian Alps por Sakowska, K., MacArthur, A., Gianelle, D., Dalponte, M., Alberti, G., Gioli, B., Miglietta, F., Pitacco, A., Meggio, F., Fava, Francesco P., Julitta, T., Rossini, M., Rocchini, D., Vescovo, L.

    Publicado 2019
    “…Using airborne optical data to simulate S2, we provided empirical evidence that the best optical proxies of ecosystem productivity were linearly correlated with optical diversity. …”
    Enlace del recurso
    Journal Article
  3. Mapping root zone soil moisture using remotely sensed optical imagery por Scott, Christopher A., Bastiaanssen, Wim G.M., Ahmad, Mobin-ud-Din

    Publicado 2003
    “…This paper presents and validates a new method based on land surface energy balances using remotely sensed optical data (including thermal infrared),…”
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    Journal Article
  4. Multi-sensor approach to improve optical monitoring of papaya shrinkage during drying por Udomkun, Patchimaporn, Nagle, Marcus, Argyropoulos, D., Mahayothee, B., Müller, Joachim

    Publicado 2016
    “…This study aimed to assess the feasibility of a multi-sensor approach for predicting shrinkage of papaya during drying using computer vision methods in combination with optical scattering analysis of light at 650 nm. The top-side area and total surface area derived from computer vision were analyzed, while the illuminated area and light intensity from optical scattering images were used to interpret photon migration in the fruit tissue. …”
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    Journal Article
  5. Potential for automated systems to monitor drying of agricultural products using optical scattering por Nagle, Marcus, Romano, G.B., Udomkun, Patchimaporn, Argyropoulos, D., Müller, J.

    Publicado 2016
    “…In recent years, novel techniques have been established based on optical scattering due to the interaction of light with organic materials. …”
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    Capítulo de libro
  6. Daily river discharge estimates by merging satellite optical sensors and radar altimetry through artificial neural network por Tarpanelli, A., Santi, E., Tourian, M.J., Filippucci, P., Amarnath, Giriraj, Brocca, L.

    Publicado 2019
    “…In this paper, we merged data from different satellite missions, optical sensors, and altimetry, for estimating daily river discharge through the application of the artificial neural network (ANN) technique. …”
    Enlace del recurso
    Journal Article
  7. Predicting optical water quality indicators from remote sensing using machine learning algorithms in tropical highlands of Ethiopia por Leggesse, E.S., Zimale, Fasikaw A., Sultan, D., Enku, T., Srinivasan, R., Tilahun, Seifu A.

    Publicado 2023
    “…Six machine learning (ML) algorithms integrated with Landsat 8 imagery were evaluated for their accuracy in predicting three optically active water quality indicators observed monthly in the period from August 2016 to April 2022: turbidity (TUR), total dissolved solids (TDS) and Chlorophyll a (Chl-a). …”
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    Journal Article
  8. Advancing non-optical water quality monitoring in Lake Tana, Ethiopia: insights from machine learning and remote sensing techniques por Leggesse, E. S., Zimale, F. A., Sultan, D., Enku, T., Tilahun, Seifu A.

    Publicado 2024
    “…The objective of this study is to retrieve non-optical water quality data, specifically total nitrogen (TN) and total phosphorus (TP) concentrations, in Lake Tana using Machine Learning (ML) techniques applied to Landsat 8 OLI imagery. …”
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    Journal Article
  9. Revisiting the levels of aerosol optical depth in South-Southeast Asia, Europe and USA amid the COVID-19 pandemic using satellite observations por Acharya, P., Barik, G., Gayen, B. K., Bar, S., Maiti, A., Sarkar, A., Ghosh, Surajit, De, S.K., Sreekesh, S.

    Publicado 2021
    “…The present study dealt with the changes in Aerosol Optical Depth (AOD), a marker of air pollution, because of global economic shutdown due to the coronavirus pandemic. …”
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    Journal Article
  10. Estimation of maize foliar temperature and stomatal conductance as indicators of water stress based on optical and thermal imagery acquired using an Unmanned Aerial Vehicle (UAV) platform por Brewer, K., Clulow, A.D., Sibanda, M., Gokool, S., Odindi, J., Mutanga, O., Naiken, V., Chimonyo, Vimbayi Grace Petrova, Mabhaudhi, Tafadzwanashe

    Publicado 2022
    “…Considering these developments, we evaluated the utility of optical and thermal infrared UAV imagery, in combination with a random forest machine-learning algorithm, to estimate the maize foliar temperature and stomatal conductance as indicators of potential crop water stress and moisture content over the entire phenological cycle. …”
    Enlace del recurso
    Journal Article

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