Search Results - Optical tooling.

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.

“…In a changing climate, monitoring BPRs within and across different ecosystem types is crucial, and novel remote sensing tools such as the Sentinel-2 (S2) may be adopted to retrieve ecosystem diversity information and to investigate optical diversity and productivity patterns. …”
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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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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.

“…Radar altimetry provides results in between MODIS-TERRA and MODIS-AQUA at Lokoja, whereas it outperforms all single optical sensors at Pontelagoscuro. The multimission approach, involving optical sensors and altimetry, is found the most reliable tool to estimate river discharge with a relative root-mean-square error of 0.12% and 0.27% and Nash-Sutcliffe coefficient of 0.98 and 0.83 for the Niger and Po rivers, respectively.…”
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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) p... by Brewer, K., Clulow, A.D., Sibanda, M., Gokool, S., Odindi, J., Mutanga, O., Naiken, V., Chimonyo, Vimbayi Grace Petrova, Mabhaudhi, Tafadzwanashe

“…Overall, the findings of the study demonstrated that the use of UAV optical and thermal imagery, in concert with prediction-based machine learning, is a useful tool, available to smallholder farmers to help them make informed management decisions that include the optimal implementation of irrigation schedules.…”
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Development of calibration model to predict nitrogen content in single seeds of cowpea (Vigna unguiculata) using near infrared spectroscopy by Ishikawa, H., Boukar, O., Fatokun, C.A., Shono, M., Muranaka, S.

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Development of an open source tool to analyze Vegetation Index from Remote Sensing data: Internship report by Frelat, Romain

“…I have also developed a tool to conduct automated analysis of Normalized Diference Vegetation Index (NDVI) from diferent optical satellite instruments AVHRR, Spot Vegetation). …”
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Global data and tools for local forest cover loss and REDD+ performance assessment: Accuracy, uncertainty, complementarity and impact by Bos, A.B., Sy, Veronique de, Duchelle, Amy E., Herold, M., Martius, C., Tsendbazar, N.E.

“…We applied human interpretation validation tools using Landsat Time Series data and high-resolution optical imagery. …”
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In-Field Forage Biomass and Quality Prediction Using Image and VIS-NIR Proximal Sensing with Machine Learning and Covariance-Based Strategies for Livestock Management in Silvopasto... by Serpa Imbett, Claudia M., Gómez Palencia, Erika L., Medina Herrera, Diego A., Mejía Luquez, Jorge A., Martínez, Remberto R., Burgos Paz, William O., Aguayo Ulloa, Lorena A.

“…These findings are expected to advance the development of AI-based tools and handheld sensors particularly suited for silvopastoral systems.…”
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Illusionsdesign by Hård, Karolin, Michélsen, Ivar

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Carbonaceous aerosols and trace metal deposition in high-latitude snow : a comparative study in Sweden and Alaska by Pinzner, Anika

“…This study measured and characterized carbonaceous particles (CPs) in snow-filtered PM using three different optical analytical methods: a Particle Soot Absorption Photometer (PSAP), a Thermo-Optical Transmittance (TOT) analyser, and a Light-Absorbing Heating Method (LAHM) instrument. …”

Study of light penetration depth of a Vis-NIR hyperspectral imaging system for the assessment of fruit quality. A case study in persimmon fruit by García-García, José, Rodríguez-Ortega, Alejandro, Aleixos, Nuria, Blasco, José, Albert, Francisco, Munera, Sandra

“…Determining the actual depth of light penetration into tissue could help validate non-contact methods as accurate tools to assess quality properties based on optical properties. …”
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Potential and application of X-ray fluorescence spectrometry to estimate iron and zinc concentration in potato tubers by Sosa, P., Guild, G., Burgos, G., Felde, T. zum, Bonierbale, Merideth W.

“…X-ray fluorescence spectrometry provides a rapid, low cost and suitable tool for potato breeders, compared to inductively coupled plasma optical emission spectrometry for screening iron and zinc concentrations, especially when a high number of potato clones must be evaluated in a short time frame.…”
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Machine Vision-Based Measurement Systems for Fruit and Vegetable Quality Control in Postharvest by Blasco, José, Munera, Sandra, Aleixos, Nuria, Cubero, Sergio, Moltó, Enrique

“…Machine vision-based systems and new optical technologies make it feasible to create non-destructive control and monitoring tools for quality assessment to ensure adequate accomplishment of food standards. …”
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Remote sensing grassland productivity attributes: a systematic review by Bangira, T., Mutanga, O., Sibanda, M., Dube, T., Mabhaudhi, Tafadzwanashe

“…Much effort is being conducted to develop tools to estimate grassland productivity (GP) at different extents, concentrating on spatial and seasonal variability pertaining to climate change. …”
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Genome Puzzle Master (GPM)-An integrated pipeline for building and editing pseudomolecules from fragmented sequences by Zhang, Jianwei, Kudrna, Dave, Mu, Ting, Li, Weiming, Copetti, Dario, Yu, Yeisoo, Goicoechea, Jose Luis, Lei, Yang, Wing, Rod A.

“…However, these assemblies are mostly fragmented and inaccurate at the whole genome scale, largely due to the inability to integrate additional informative datasets (e.g. physical, optical and genetic maps). To address this problem, we developed a semi-automated software tool—Genome Puzzle Master (GPM)—that enables the integration of additional genomic signposts to edit and build ‘new-gen-assemblies’ that result in high-quality ‘annotation-ready’ pseudomolecules. …”
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Potential of satellite data in catastrophic flood risk mapping and assessment: case studies from Asia and Africa by Amarnath, Giriraj, Rajah, Ameer, Alahacoon, Niranga, Inada, Yoshiaki, Inoue, R., Aggarwal, Pramod K.

“…Satellite images acquired in both optical and microwave range of electro-magnetic emissions are utilized for solving many problems related to flood risk management. …”
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Allometric relationships for biomass estimation of persimmon trees using a field robot, LiDAR and photogrammetry by Rodríguez, Alejandro, Morales, J., rey, B., Cubero, Sergio, Aleixos, Nuria, Blasco, José

“…Fast and non-destructive alternatives based on optical sensors can perform the nutritional status of plants in the field [1]. …”
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Integration of simultaneous tactile sensing and reflectance visible and near-infrared spectroscopy in a robot gripper for mango quality assessment by Cortés, Victoria, Blanes, Carlos, Blasco, José, Ortiz, Coral, Aleixos, Nuria, Mellado Arteche, Martín, Cubero, Sergio, Talens, Pau

“…Development of non-destructive tools for determining mango ripeness would improve the quality of industrial production of the postharvest processes. …”
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Perspectives on global mycotoxin issues and management from the mycokey maize working group by Logrieco, A.F., Battilani, P., Leggieri, C., Haesaert, G., Jiang, Y., Lanubile, A., Mahuku, George S., Mesterhazy, A., Ortega Beltran, A., Pasti, M.A., Smeu, I., Torres, A., Xu, J., Munkvold, G.

“…Remediation practices such as optical sorting, density separation, milling, and chemical detoxification were also suggested. …”
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Assessing methane emissions from rice fields in large irrigation projects using satellite-derived land surface temperature and agronomic flooding: A spatial analysis by Pazhanivelan, Sellaperumal, Sudarmanian, N.S., Geethalakshmi, Vellingiri, Deiveegan, Murugesan, Ragunath, Kaliaperumal, Sivamurugan, A.P., Shanmugapriya, P.

“…Synthetic aperture radar (SAR) imagery, notably Sentinel-1A’s C-band, VV, and VH polarized SAR, has emerged as a crucial tool for mapping rice fields, especially in regions where cloud cover hinders optical imagery. …”
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