Search Results - Sense data.

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

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Automatization and evaluation of a remote sensing-based indicator for wetland health assessment in East Africa on national and local scales by Steinbach, S., Hentschel, E., Hentze, K., Rienow, A., Umulisa, V., Zwart, Sander J., Nelson, A.

“…The Wetland Use Intensity (WUI) indicator, which is not specific to a particular crop and which requires little ancillary data, is based on the Mean Absolute Spectral Dynamics (MASD), which is a cumulative measure of reflectance change across a time series of optical satellite images. …”
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From Remotely Sensed Vegetation Onset to Sowing Dates: Aggregating Pixel-Level Detections into Village-Level Sowing Probabilities by Marinho, E., Vancutsem, C., Fasbender, D., Kayitakire, F, Pini, G, Pekel, J.F.

“…In this context, the remote sensing approach, which consists of deriving green-up onset dates from satellite remote sensing data, appears as an interesting alternative. …”
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From Pixels to Planting Dates: Using the AgWise Remote-sensing Framework to Automate Maize Planting-date Detection by Dastidar, Payel Ghosh, Srivastava, Amit, Leroux, Louise

“…This study uses multitemporal satellite data, vegetation index information, and smoothing algorithms to extract planting dates across Kenya and Rwanda utilising the automated remote-sensing workflow of the AgWise platform. …”
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Remote sensing-based assessment of the 2005–2011 bamboo reproductive event in the Arakan mountain range and its relation with wildfires by Fava, Francesco P., Colombo, R.

“…This study analyzes the widespread reproductive event of bamboo (Melocanna baccifera) that occurred in the Arakan Mountains (Southeast Asia) from 2005 to 2011, and investigates the possible relationship between massive fuel loading due to bamboo synchronous mortality over large areas and wildfire regime. Multiple remote sensing data products are used to map the areal extent of the bamboo-dominated forest. …”
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Utilizing Artificial Intelligence and Remote Sensing to Detect Prosopis juliflora Invasion: Environmental Drivers and Community Insights in Rangelands of Kenya by Paliwal, Ambica, Mhelezi, Magdalena, Galgallo, Diba, Banerjee, Rupsha R., Malicha, Wario, Whitbread, Anthony M.

“…This study assesses the effectiveness of artificial intelligence (AI) and remote sensing in monitoring the invasion of Prosopis juliflora in Baringo County, Kenya. …”
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Assessment of land degradation in semi-arid Tanzania: Using remote sensing to inform the Sustainable Development Goal 15.3 by Reith, J.A.

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Remotely sensed spectral indicators of bird taxonomic, functional and phylogenetic diversity across Afrotropical urban and non-urban habitats by Awoyemi, A.G., Alabi, T.R., Ibanez-Alamo, J.D.

“…A commonly highlighted reason for the lack of information from the Afrotropics has been the logistical problem associated with data collection in the field. Recent advances in satellite remote sensing imagery offer an excellent opportunity to revert this situation, enhancing the understanding of urban impacts on biodiversity. …”
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Exploring the tymovirales landscape through metatranscriptomics data by Bejerman, Nicolas Esteban, Debat, Humberto Julio

“…Tymovirales is an order of viruses with positive-sense RNA genomes that mostly infect plants, but also fungi and insects. …”
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Manual of the Training on Development of Flood Forecasting System for Gash Basin using Hydrological Model System, held at the Hydraulic Research Station (HRS), Kassala, Sudan, 27-2... by Amarnath, Giriraj, Alahacoon, Niranga, Sharma, Bharat R., Smakhtin, Vladimir U.

Subjects: “…remote sensing…”
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Incorporating Satellite Data Into Weather Index Insurance by Black, Emily, Greatrex, Helen, Young, Matthew, Maidment, Ross I.

“…What: Twenty-three people from six countries came together to discuss how drought insurance based on remotely sensed data can reduce the impact of weather shocks on some of the poorest people in the world. …”
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An assessment of data sources, data quality and changes in national forest monitoring capacities in the Global Forest Resources Assessment 2005-2020 by Nesha, M.K., Herold, M., Sy, Veronique de, Duchelle, Amy E., Martius, C., Branthomme, A., Garzuglia, M., Jonsson, O., Pekkarinen, A.

“…More specifically, we (1) analyze the use of Remote Sensing (RS) for forest area monitoring and the use of National Forest Inventory (NFI) for monitoring forest area, growing stock, biomass, carbon stock, and other attributes in FRA 2005-2020, (2) assess data quality in FRA 2020 using FAO Tier-based indicators, and (3) zoom in to investigate changes in tropical forest monitoring capacities in FRA 2010 - 2020. …”
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Assessment of land degradation in semiarid Tanzania using multiscale remote sensing datasets to support sustainable development goal 15.3 by Reith, J., Ghazaryan, G., Muthoni, Francis K., Dubovyk, O.

“…Further, we compared our results of the LD assessment based on the adopted high-resolution data and methodology (AM) with the default medium-resolution data and methodology (DM) suggested by the United Nations Convention to Combat Desertification. …”
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Improving the accuracy of remotely sensed irrigated areas using post-classification enhancement through UAV [Unmanned Aerial Vehicle] capability by Nhamo, Luxon, Dijk, R. van, Magidi, J., Wiberg, David A., Tshikolomo, K.

“…Although advances in remote sensing have enhanced mapping and monitoring of irrigated areas, producing accurate cropping information through satellite image classification remains elusive due to the complexity of landscapes, changes in reflectance of different land-covers, the remote sensing data selected, and image processing methods used, among others. …”
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Impact of sustainable land management on vegetation cover using remote sensing in Magera micro Watershed, Omo Gibe Basin, Ethiopia by Assefa, A., Haile, Alemseged Tamiru, Dhanya, C. T., Walker, D. W., Gowing, J., Parkin, G.

“…The hydrological impact of many expensive investments on watershed interventions remains unquantified due to lack of time series data. In this study, remote sensing imagery is utilized to quantify and detect vegetation cover change in Magera micro-watershed, Ethiopia, where sustainable land management interventions have been implemented. …”
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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.

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Integration of agronomic information, vegetation indices (VIs), and meteorological data for phenological monitoring and yield estimation of rice (Oryza sativa L.) by Fernandez Jibaja, Jorge Antonio, Atalaya Marin, Nilton, Álvarez Robledo, Yeltsin Abel, Taboada Mitma, Víctor Hugo, Cruz Luis, Juancarlos Alejandro, Tineo Flores, Daniel, Goñas Goñas, Malluri, Gómez Fernández, Darwin

Subjects: “…remote sensing…”
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Illuminating the Plant Rhabdovirus Landscape through Metatranscriptomics Data by Bejerman, Nicolas Esteban, Dietzgen, Ralf Georg, Debat, Humberto Julio

“…Rhabdoviruses infect a large number of plant species and cause significant crop diseases. They have a negative-sense, single-stranded unsegmented or bisegmented RNA genome. …”
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Protecting vulnerable communities: a case study of index-based flood insurance in India, powered by flood modeling and remotely sensed rainfall by Amarnath, Giriraj, Ghosh, Surajit, Alahacoon, Niranga, Sikka, Alok, Brahmanand, P. S.

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Assessment of a Remote Sensing Energy Balance Methodology (SEBAL) Using Different Interpolation Methods to Determine Evapotranspiration in a Citrus Orchard by Jiménez-Bello, Miguel Ángel, Castel, Juan R., Testi, Luca, Intrigliolo, Diego S.

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