Resultados de búsqueda - Sense data.

Water accounting plus for water resources reporting and river planning. [PhD thesis funded by IWMI through the CGIAR Research Programme on Water Land and Ecosystems] por Karimi, Poolad

Materias: “…data…”
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Intensive field sampling increases the known extent of carbon-rich Amazonian peatland pole forests por Honorio Coronado, E.N., Hastie, A., Reyna, J., Flores, G., Grández, J., Lähteenoja, O., Draper, F.C., Åkesson, C.M., Baker, T.R., Bhomia, R.K., Cole, L.E.S., Dávila, N., Águila, J. del, Águila, M. del, Castillo Torres, D. del, Lawson, I.T., Martín Brañas, M., Mitchard, E.T.A., Monteagudo, A., Phillips, Oliver L., Ramírez, E., Ríos, M., Ríos, S., Rodríguez, L., Roucoux, K.H., Tagle Casapia, X., Vásquez, R., Wheeler, C.E., Montoya, M.

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A method for using harvester data in airborne laser prediction of forest variables in mature coniferous stands por Söderberg, Jon

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Potential of satellite data in catastrophic flood risk mapping and assessment: case studies from Asia and Africa por Amarnath, Giriraj, Rajah, Ameer, Alahacoon, Niranga, Inada, Yoshiaki, Inoue, R., Aggarwal, Pramod K.

“…. $70 billion in damages. Remote sensing from space plays an important role in flood mapping and flood risk assessment. …”
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Comprehensive spatial mapping of metals and metalloids in the Peruvian Mantaro Valley using advanced geospatial data Integration por Pizarro Carcausto, Samuel Edwin, Pricope , Narcisa G., Vera Vilchez, Jesús Emilio, Cruz Luis, Juancarlos Alejandro, Lastra Paucar, Sphyros Roomel, Solórzano Acosta, Richard Andi, Verástegui Martínez, Patricia

“…This study mapped 25 elements (Ca, Mg, Sr, Ba, Be, K, Na, As, Sb, Se, Tl, Cd, Zn, Al, Pb, Hg, Cr, Ni, Cu, Mo, Ag, Fe, Co, Mn, V) in the Peruvian Mantaro Valley using a training dataset of 109 topsoil samples combined with various geospatial datasets (remote sensing, climate, topography, soil data, and distance). …”
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Reviews and syntheses: An empirical spatiotemporal description of the global surface–atmosphere carbon fluxes: opportunities and data limitations por Zscheischler, J., Mahecha, M.D., Avitabile, V., Calle, L., Carvalhais, N., Ciais, Philippe, Gans, F., Gruber, N., Hartmann, J., Herold, M., Ichii, Kazuhito, Jung, M., Landschütze, P., Laruelle, G.G., Lauerwald, R., Papale, D., Peylin, P., Poulter, B., Ray, D., Regnier, P., Rödenbeck, C., Román Cuesta, Rosa María, Schwalm, C., Tramontana, G., Tyukavina, A., Valentini, R., Werf, G. van der, West, T.O., Wolf, J.E., Reichstein, M.

“…Our consistent derivation of data uncertainties could serve as prior knowledge in multicriteria optimization such as the Carbon Cycle Data Assimilation System (CCDAS) and atmospheric inversions, without over- or under-stating bottom-up data credibility. …”
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Role of Modelling in International Crop Research: Overview and Some Case Studies por Reynolds, Matthew P., Kropff, Martin, Crossa, José, Koo, Jawoo, Kruseman, Gideon K., Molero Milan, Anabel, Rutkoski, Jessica, Schulthess, Urs C., Balwinder-Singh, Poonia, S., Sonder, Kai, Tonnang, Henri E.Z., Vadez, Vincent

“…New developments include, for example, use of remote sensed data and mobile phone technology linked to crop management decision support models, data sharing in the new era of big data, and the use of genomic selection and crop simulation models linked to environmental data to help make crop breeding decisions. …”
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Irrigation performance: Mali por Zwart, Sander J., Kassambara, B., Schmitter, Petra, Dembélé, Moctar

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基于多时相遥感影像的东北三省作物分布信息提取 por Hao, W., Mei, X., Xueliang Cai, Du, J., Liu, Q.

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Eco-hydrological characterization of inland wetlands in Africa using L-Band SAR por Rebelo, Lisa-Maria

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Informe final Datathon CIP 2025 por Fuentes, A., Juarez, H., Ochoa, J., Haan, Stef de

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Fire in the Danau Sentarum landscape: historical, present perspectives por Dennis, R.A., Erman, A., Meijaard, E.

“…Burn scar areas were detected using remotely sensed data from four periods (1973, 1990, 1994 and 1997) obtained from a 24-year record. …”
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Estimates of biomass production and distribution in the ILP project zone in 1985 based on satellite NDVI values. por Wagenaar, K.T., Ridder, N.A. de

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Estimations de la production et de la distribution de la biomasse dans la zone de projet PEI en 1985 d'apres les valeurs NDVI obtenues par satellite por Wagenaar, K.T., Ridder, N.A. de

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Detection of Fall Armyworm infestation in maize fields during vegetative growth stages using temporal Sentinel-2 por Dzurume, Tatenda, Darvishzadeh, Roshanak, Dube, Timothy, Amjath Babu, T.S., Billah, Mutasim, Syed Nurul Alam, Kamal, Mustafa, Md. Harun-Or-Rashid, Biswas, Badal Chandra, Md. Ashraf Uddin, Md. Abdul Muyeed, Md Mostafizur Rahman Shah, Krupnik, Timothy J., Nelson, Andrew

“…Moreover, the results demonstrated the feasibility of detecting the severity of FAW infestation using temporal Sentinel-2 data and machine learning techniques. These findings underscore the potential of remote sensing and machine learning techniques for effectively monitoring and managing crop pests. …”
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Satellite-based tracking of agricultural adaptation progress por Reymondin, Louis, Golden, Aaron, Spillane, Charles

“…To this end, we piloted a new approach, the Biomass Climate Adaptation Index (Biomass CAI), for measuring agricultural adaptation progress in Ethiopia across multiple scales using satellite remote sensing data. The Biomass CAI can monitor agri-biomass productivity associated with adaptation interventions remotely and facilitate more tailored precision adaptation. …”
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Drought and food security – Improving decision-support via new technologies and innovative collaboration por Enenkel, Markus, See, Linda, Bonifacio, Rogerio, Boken, Vijendra, Chaney, Nathaniel, Vinck, Patrick, You, Liangzhi, Dutra, Emanuel, Anderson, Martha

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Statistics from Space: Next-Generation Agriculture Production Information for Enhanced Monitoring of Food Security in Mozambique - Enumerators training report por Centre of Excellence in Agri-Food Systems and Nutrition

“…The Statistics from Space project (SFS) seeks to support the Government of Mozambique to produce and disseminate accurate crop production statistical data leveraging satellite remote-sensing data and artificial intelligence augmented analytics. …”
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Stakeholders Workshop on Farmer-Centric Digital Transformation of African Agriculture por Rupavatharam, Srikanth, Patil, Mukund, Gogumalla Pranuthi, Gumma, Murali Krishna, Kumar, Kishore G., Kumar, Shalander, Jat, Mangi L.

“…Digital Agriculture offers a wide range of technology solutions for farmers, including smart farming, precision agriculture, data-driven decision support, extension systems, channels for improved market access, and financial services (Townsend et al., 2019). …”
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Relevamiento de alturas de árboles en bosque nativo mediante fotogrametría con drones = Surveying the heights of trees in native forests through drone-based photogrammetry por Hildt, Eduardo, Krasemann, Heidi, Angermeier, Karen, Alcalde, Julio

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