Resultados de búsqueda - Sense data.

Digital inclusiveness: global por Martins, Carolina, Opola, Felix, Schmitter, Petra, Dembélé, Moctar

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Irrigation scheduling advice: Egypt por Brouziyne, Youssef, El-Sayed, M., Schmitter, Petra, Dembélé, Moctar

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Stakeholder consultation, site prioritization, and flood model development for Index-based Flood Insurance in Southern Province, Zambia por Amarnath, Giriraj, Umer, Yakob, Makungwe, Mirriam, Jacobs-Mata, Inga, Mvula, C.

“…The first phase of product development for IBFI is to use observed data to produce the indices. Here, the observed rainfall, stream flow, and water level data were used to produce a design flood index insurance product in the Kafue flats. …”
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Caracterización sensorial de mieles de abeja mediante análisis multivariado a tres vías por Altendorff, Laura Liliana, Winter, Josefina, Lavalle, Andrea

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Forest disturbance and recovery in Peruvian Amazonia por Requena Suarez, D., Rozendaal, D.M.A., Sy, V. de, Decuyper, M., Málaga, N., Durán Montesinos, P., Arana Olivos, A., De la Cruz Paiva, R., Martius, C., Herold, M.

“…Moving forward, we recommend that forest-based climate change mitigation endeavours consider forest disturbance through the integration of forest inventory data with remote sensing methods.…”
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Irrigation performance: Ethiopia por Tadesse, Mulugeta, Mohammed, I., Schmitter, Petra, Dembélé, Moctar

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Quantification of the Land Potential for Scaling Agroforestry in South Asia por Ahmad, F., Uddin, M.M., Goparaju, L., Rizvi, J., Biradar, Chandrashekhar M.

“…The analysis clearly shows that the advent of big data, remote sensing and GIS provide insights into the agroforestry interventions and scaling which further helps in building resilient landscapes for sustainable agri-food systems, livelihoods, safeguarding the environmental security and supporting some of the important sustainable development goals (SDGs).…”
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Protocol for the collection of leaf area index (LAI) for yield estimation por Mathieu, Renaud, Quicho, Emma, Satapathy, Sushree

“…Work package 4 maps rice areas using remote sensing, geographic information system (GIS), and crop modeling. …”
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A map of global peatland extent created using machine learning (Peat-ML) por Melton, Joe R., Chan, Ed, Millard, Koreen, Fortier, Matthew, Winton, R. Scott, Martin López, Javier Mauricio, Cadillo-Quiroz, Hinsby, Kidd, Darren, Verchot, Louis V.

“…Inputs to our statistical model follow drivers of peatland formation and include spatially distributed climate, geomorphological and soil data, and remotely sensed vegetation indices. Available maps of peatland fractional coverage for 14 relatively extensive regions were used along with mapped ecoregions of non-peatland areas to train the statistical model. …”
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Mapping drought-induced changes in rice area in India por Gumma, Murali K., Nelson, Andrew, Yamano, Takashi

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Climate futures for western Nepal based on regional climate models in the CORDEX-SA [Coordinated Regional Downscaling Experiment for South Asia] por Dhaubanjar, Sanita, Pandey, Vishnu Prasad, Bharati, Luna

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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 por Pazhanivelan, Sellaperumal, Sudarmanian, N.S., Geethalakshmi, Vellingiri, Deiveegan, Murugesan, Ragunath, Kaliaperumal, Sivamurugan, A.P., Shanmugapriya, P.

“…Employing multi-temporal characteristics, SAR data were regularly collected and parameterized using MAPscape-Rice software, which integrates a fully automated processing chain to convert the data into terrain-geocoded σ° values. …”
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Land use mapping of selected sites in the Cambodia, Mekong Mega-Delta using high resolution satellite imagery por Villano, Lorena, Garcia, Cornelia, Rala, Arnel, Raviz, Jeny, Laborte, Alice

“…By integrating satellite-derived data with field-based validation techniques, this study seeks to improve classification accuracy and enhance our understanding of land use dynamics in these regions. …”
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Soil health monitoring using satellite-based remote sensors: An atlas of the Agroecology Living Lab in Tunisia por Shiri, Zahra, Le, Quang Bao

“…This atlas of remote sensing-derived maps can enhance territorial management by identifying vulnerable zones and supporting data-driven interventions.…”
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Digital soil texture map of Argentina and their relationship to soil - forming factors and processes por Schulz, Guillermo, Rodriguez, Dario Martin, Angelini, Marcos Esteban, Moretti, Lucas Martin, Olmedo, Guillermo Federico, Tenti Vuegen, Leonardo Mauricio, Colazo, Juan Cruz, Guevara, Mario

“…We used 4663 soil texture observations and 64 environmental covariates to represent the soil forming factors (e.g., remote sensing data, climate data of geomorphology map). …”
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Una solución IoT de bajo costo para la predicción de enfermedades foliares en cultivos agroecológicos a escala agricultura familiar. Experiencia en el periurbano platense por Castro, Néstor, Queiruga, Claudia, Pagano, Matías, Candia, Agustín, Goites, Enrique, Díaz, Javier

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National-scale soybean mapping and area estimation in the United States using medium resolution satellite imagery and field survey por Xiao-Peng, Song, Potapov, Peter V., Krylov, Alexander, King, LeeAnn, Di Bella, Carlos Marcelo, Hudson, Amy, Khan, Ahmad, Adusei, Bernard, Stehman, Stephen V., Hansen, Matthew C.

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Cell size regulation and proliferation fluctuations in single-cell derived colonies por Nieto, César, Vargas García, César, Pedraza, Juan Manuel, Singh, Abhyudai

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Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission por Duncanson, Laura, Kellner, James R., Armston, John, Dubayah, Ralph, Minor, David M., Hancock, Steven, Healey, Sean P., Patterson, Paul L., Saarela, Svetlana, Marselis, Suzanne, Silva, Carlos E., Bruening, Jamis, Goetz, Scott J., Tang, Hao, Hofton, Michelle, Blair, Bryan, Luthcke, Scott, Fatoyinbo, Lola, Abernethy, Katharine, Alonso, Alfonso, Andersen, Hans-Erik, Aplin, Paul, Baker, Timothy R., Barbier, Nicolas, Bastin, Jean Francois, Biber, Peter, Boeckx, Pascal, Bogaert, Jan, Boschetti, Luigi, Boucher, Peter Brehm, Boyd, Doreen S., Burslem, David F.R.P., Calvo-Rodriguez, Sofia, Chave, Jérôme, Chazdon, Robin L., Clark, David B., Clark, Deborah A., Cohen, Warren B., Coomes, David A., Corona, Piermaria, Cushman, K.C., Cutler, Mark E.J., Dalling, James W., Dalponte, Michele, Dash, Jonathan, de-Miguel, Sergio, Deng, Songqiu, Ellis, Peter Woods, Erasmus, Barend, Fekety, Patrick A., Fernandez-Landa, Alfredo, Ferraz, Antonio, Fischer, Rico, Fisher, Adrian G., García-Abril, Antonio, Gobakken, Terje, Hacker, Jorg M., Heurich, Marco, Hill, Ross A., Hopkinson, Chris, Huang, Huabing, Hubbell, Stephen P., Hudak, Andrew T., Huth, Andreas, Imbach, Benedikt, Jeffery, Kathryn J., Katoh, Masato, Kearsley, Elizabeth, Kenfack, David, Kljun, Natascha, Knapp, Nikolai, Král, Kamil, Krůček, Martin, Labrière, Nicolas, Lewis, Simon L., Longo, Marcos, Lucas, Richard M., Main, Russell, Manzanera, Jose A., Martínez, Rodolfo Vásquez, Mathieu, Renaud, Memiaghe, Herve, Meyer, Victoria, Mendoza, Abel Monteagudo, Monerris, Alessandra, Montesano, Paul, Morsdorf, Felix, Næsset, Erik, Naidoo, Laven, Nilus, Reuben, O’Brien, Michael, Orwig, David A., Papathanassiou, Konstantinos, Parker, Geoffrey, Philipson, Christopher, Phillips, Oliver L., Pisek, Jan, Poulsen, John R., Pretzsch, Hans, Rüdiger, Christoph, Saatchi, Sassan, Sanchez-Azofeifa, Arturo, Sanchez-Lopez, Nuria, Scholes, Robert, Silva, Carlos A., Simard, Marc, Skidmore, Andrew, Stereńczak, Krzysztof, Tanase, Mihai, Torresan, Chiara, Valbuena, Ruben, Verbeeck, Hans, Vrska, Tomas, Wessels, Konrad, White, Joanne C., White, Lee J.T., Zahabu, Eliakimu, Zgraggen, Carlo

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A comprehensive evaluation of satellite-based and reanalysis soil moisture products over the upper Blue Nile Basin, Ethiopia por Alaminie, A. A., Annys, S., Nyssen, J., Jury, M. R., Amarnath, Giriraj, Mekonnen, M. A., Tilahun, Seifu A.

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