Search Results - "optics"

Optical bias with optical wedges in point sampling by Vanclay, J.K.

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Optical mapping compendium of structural variants across global cattle breeds by 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.

“…To do this we generated 100X Bionano optical mapping data for 18 cattle of nine different ancestries, three continents and both cattle sub-species. …”
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Can we use optical sensors in highly turbid agricultural streams? by Abade Smoginski, Ana Paula

Subjects: “…optical sensors…”

Assessing across-scale optical diversity and productivity relationships in grasslands of the Italian Alps by 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.

“…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. …”
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Mapping root zone soil moisture using remotely sensed optical imagery by Scott, Christopher A., Bastiaanssen, Wim G.M., Ahmad, Mobin-ud-Din

“…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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Multi-sensor approach to improve optical monitoring of papaya shrinkage during drying by Udomkun, Patchimaporn, Nagle, Marcus, Argyropoulos, D., Mahayothee, B., Müller, Joachim

“…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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Potential for automated systems to monitor drying of agricultural products using optical scattering by Nagle, Marcus, Romano, G.B., Udomkun, Patchimaporn, Argyropoulos, D., Müller, J.

“…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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Effects of polydopamine-passivation on the optical properties of carbon dots and its potential use in vivo by Pappalardo, Juan Sebastián, Macairan, Jun-Ray, Macina, Alexia, Poulhazan, Alexandre, Quattrocchi, Valeria, Marcotte, Isabelle, Naccache, Rafik

“…Passivation of carbon dots via heteroatom doping has been shown to enhance their optical properties and tune their fluorescence signature. …”
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How robust is water quality determination with optical measurements for highly polluted agricultural waters? by Uwera, Honorine

Subjects: “…optical measurements…”

An algorithm for rapid flood inundation mapping from optical data using a reflectance differencing technique by Amarnath, Giriraj

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Monitoring Corn Nitrogen Concentration from Radar (C-SAR), Optical, and Sensor Satellite Data Fusion by Lapaz Olveira, Adrián, Sainz Rozas, Hernan Rene, Castro Franco, Mauricio, Carciochi, Walter, Nieto, Luciana, Balzarini, Mónica, Ciampitti, Ignacio, Reussi Calvo, Nahuel Ignacio

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An algorithm for rapid flood inundation mapping from optical data using reflectance differencing technique [Abstract only]. by Amarnath, Giriraj, Ameer, Mohamed, Aggarwal, Pramod K., Smakhtin, Vladimir U.

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Daily river discharge estimates by merging satellite optical sensors and radar altimetry through artificial neural network by Tarpanelli, A., Santi, E., Tourian, M.J., Filippucci, P., Amarnath, Giriraj, Brocca, L.

“…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. …”
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Predicting optical water quality indicators from remote sensing using machine learning algorithms in tropical highlands of Ethiopia by Leggesse, E.S., Zimale, Fasikaw A., Sultan, D., Enku, T., Srinivasan, R., Tilahun, Seifu A.

“…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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Monitoring corn nitrogen nutrition index from optical and synthetic aperture radar satellite data and soil available nitrogen by Lapaz Olveira, Adrián, Castro Franco, Mauricio, Sainz Rozas, Hernan Rene, Carciochi, Walter, Balzarini, Mónica, Avila, Oscar, Ciampitti, Ignacio, Reussi Calvo, Nahuel Ignacio

“…Using linear regression models, NNI was best predicted using only optical satellite data from V6 to V14, and integrating optical with C-SAR plus Nav at R1. …”
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Advancing non-optical water quality monitoring in Lake Tana, Ethiopia: insights from machine learning and remote sensing techniques by Leggesse, E. S., Zimale, F. A., Sultan, D., Enku, T., Tilahun, Seifu A.

“…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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An analysis of the rice-cultivation dynamics in the lower Utcubamba river basin using SAR and optical imagery in Google Earth Engine (GEE) by Medina Medina, Angel James, Salas López, Rolando, Zabaleta Santisteban, Jhon Antony, Tuesta Trauco, Katerin Meliza, Turpo Cayo, Efrain Yury, Huaman Haro, Nixon, Oliva Cruz, Manuel, Gómez Fernández, Darwin

“…In this research, synthetic aperture radar (SAR) and optical images are used to analyze the monthly dynamics of this crop in the lower Utcubamba river basin, Peru. …”
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Revisiting the levels of aerosol optical depth in South-Southeast Asia, Europe and USA amid the COVID-19 pandemic using satellite observations by Acharya, P., Barik, G., Gayen, B. K., Bar, S., Maiti, A., Sarkar, A., Ghosh, Surajit, De, S.K., Sreekesh, S.

“…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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Continuous signaling pathways instability in an electromechanical coupled model for biomembranes and nerves by Kamga, A. S. Foualeng, Achu, G. Fongang, Kakmeni, F. M. Moukam, Ghomsi, P. Guemkam, Ndjomatchoua, Frank T., Tchawoua, Clément

Subjects: “…optical and magnetic materials…”
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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 by Brewer, K., Clulow, A.D., Sibanda, M., Gokool, S., Odindi, J., Mutanga, O., Naiken, V., Chimonyo, Vimbayi Grace Petrova, Mabhaudhi, Tafadzwanashe

“…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. …”
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