Search Results - "Cloud computing"

Automated cropland mapping of continental Africa using Google Earth Engine cloud computing by Xiong, Jun, Thenkabail, Prasad S., Gumma, Murali K., Teluguntla, P., Poehnelt, J., Congalton, Russell, Yadav, K., Thau, D.

“…The ACMA algorithm was deployed on Google Earth Engine (GEE) cloud computing platform and applied on MODIS time-series data from 2003 through 2014 to obtain ACMA-derived cropland layers for these years (ACL2003 to ACL2014). …”
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Estimate crop type distribution in South Africa using Google Earth Engine cloud computing by Guo, Zhe, Sheng, Andrew

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Cloud computing application for the analysis of land use and land cover changes in dry forests of Peru by Barboza, Elgar, Salazar Coronel, Wilian, Gálvez Paucar, David, Valqui Valqui, Lamberto, Valqui, Leandro, Zagaceta, Luis H., Gonzales, Jhony, Vásquez, Héctor V., Arbizu, Carlos I.

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Crop mapping in smallholder farms using unmanned aerial vehicle imagery and geospatial cloud computing infrastructure by Gokool, S., Mahomed, M., Brewer, K., Naiken, V., Clulow, A., Sibanda, M., Mabhaudhi, Tafadzwanashe

“…Furthermore, advances in geospatial cloud computing have opened new and exciting possibilities in the remote sensing arena. …”
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Implementing Cloud Computing for the Digital Mapping of Agricultural Soil Properties from High Resolution UAV Multispectral Imagery by Pizarro, S., Pricope, N.G., Figueroa, D., Carbajal, C., Quispe, M., Vera, J., Alejandro, L., Achallma, L., Gonzalez, I., Salazar, W., Loayza, H., Cruz, J., Arbizu, C.I.

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A systematic review of existing early warning systems’ challenges and opportunities in cloud computing early warning systems by Agbehadji, I. E., Mabhaudhi, Tafadzwanashe, Botai, J., Masinde, M.

“…This paper assessed existing EWS challenges and opportunities in cloud computing through the PSALSAR framework for systematic literature review and meta-analysis. …”
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Implementing cloud computing for the digital mapping of agricultural soil properties from high resolution UAV multispectral imagery by Pizarro Carcausto, Samuel Edwin, Pricope, Narcisa G., Figueroa Venegas, Deyanira Antonella, Carbajal Llosa, Carlos Miguel, Quispe Huincho, Miriam Rocío, Vera Vilchez, Jesús Emilio, Alejandro Méndez, Lidiana Rene, Achallma Mendoza, Lino, González Tovar, Izamar Estrella, Salazar Coronel, Wilian, Loayza, Hildo, Cruz Luis, Juancarlos Alejandro, Arbizu Berrocal, Carlos Irvin

Subjects: “…Cloud computing…”
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Analyzing urban expansion and land use dynamics in Bagua Grande and Chachapoyas using cloud computing and predictive modeling by Barboza, Elgar, Turpo, Efrain Y., Salas Lopez, Rolando, Silva López, Jhonsy O., Cruz Luis, Juancarlos Alejandro, Vásquez, Héctor V., Purohit, Sanju, Aslam, Muhammad, Tariq, Aqil

Subjects: “…Cloud computing…”
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Advancing wetland mapping in Argentina: a probalitistic approach integrating remote sensing, machine learning, and cloud computing towards sustainable ecosystem monitoring by Navarro, María Fabiana, Calamari, Noelia Cecilia, Navarro, Carlos Saúl, Enriquez, Andrea Soledad, Mosciaro, Maria Jesus, Saucedo, Griselda Isabel, Barrios, Raúl Ariel, Curcio, Matías Hernán, Dieta, Victorio, Garcia Martinez, Guillermo Carlos, Iturralde Elortegui, Maria Del Rosario Ma, Michard, Nicole Jacqueline, Paredes, Paula Natalia, Umaña, Fernando, Alday Poblete, Silvina Esther, Pezzola, Nestor Alejandro, Vidal, Claudia, Winschel, Cristina Ines, Albarracin Franco, Silvia, Behr, Santiago Javier, Cianfagna, Francisco A., Cremona, Maria Victoria, Alvarenga, Fernando Agustin, Perucca, Alba Ruth, Lopez, Astor Emilio, Miranda, Federico Waldemar, Kurtz, Ditmar Bernardo

“…This study addresses these challenges by presenting a probabilistic wetland distribution map for Argentina, inte­ grating 20 years of satellite imagery with machine learning and cloud computing technologies. Our approach introduces a comprehensive set of biophysical indices, enabling the identification of key wetland characteristics: 1) permanent or temporal surface water presence; 2) water-adapted vegetation phenology; and 3) geo­ morphology conducive to water accumulation. …”
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The global Land-Potential Knowledge System (LandPKS): Supporting evidence-based, site-specific land use and management through cloud computing, mobile applications, and crowdsourcing by Herrick, Jeffrey E., Urama, Kevin C., Karl, Jason W., Boos, J., Johnson, M.V., Shepherd, Keith D., Hempel , J., Davies, J., Guerra, J. L., Kosnik, C., Kimiti. D.W., Losinyen, Abraham E., Muller, K, Norfleet, L., Ozor, N., Reinsch, T., Sarukhan, J., West, L. T., Bestelmeyer, B.T.

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Comprehensive spatial mapping of metals and metalloids in the Peruvian Mantaro Valley using advanced geospatial data Integration by 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

Subjects: “…Cloud computing…”
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Digital soil mapping of metals and metalloids in croplands using multiple geospatial data and machine learning, implemented in GEE, for the Peruvian Mantaro Valley by Pizarro Carcausto, Samuel, Vera Vilchez, Jesús Emilio, Huamani, Joseph, Cruz, Juancarlos, Lastra Paucar, Sphyros Roomel, Solórzano Acosta, Richard Andi, Verástegui Martínez, Patricia

Subjects: “…Cloud computing…”
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EO-WEF: a earth observations for water, energy, and food nexus geotool for spatial data visualization and generation by Kiala, Z., Jewitt, G., Senzanje, A., Mutanga, O., Dube, T., Mabhaudhi, Tafadzwanashe

“…Furthermore, the advent of cloud computing has made possible the processing of massive information. …”
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The greenhouse gas emissions estimates of hydropower reservoirs in Vietnam using G-res Tool: bridging climate change mitigation with sustainability frameworks by Ghosh, Surajit, De Sarkar, K., Chowdhury, A., Holmatov, Bunyod, Rajakaruna, Punsisi

“…Considering the use of cloud computing in GHG quantification can support global efforts to mitigate climate change and advance the development of hydropower systems into more sustainable global infrastructure. …”
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Sustainable information technology practice in libraries by Ayinla, B.A., Aramide, K.A.

“…Similarly, it used recent research in cloud computing to explain some environmental sustainability issues related to information technology in libraries.…”
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Internet of things: Applications to developing country agriculture sector by Lalitha, A., Babu, Suresh Chandra, Purnima, K.S.

“…The sensor data visualization for agriculture has a great opportunity for mobile technology. Cloud computing offers several applications in the field of agriculture with limited infrastructure and costs. …”
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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.

“…It incorporates freely available datasets such as Landsat time series and customized land cover and uses open-source software and cloud-computing. 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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Assessment of land degradation in semi-arid Tanzania: Using remote sensing to inform the Sustainable Development Goal 15.3 by Reith, J.A.

“…It incorporates freely available datasets like Landsat and uses open-source software in interplay with cloud-computing. Human-induced LD was assessed using the Normalized Difference Vegetation Index (NDVI) correcting it for precipitation variability with the Rain Use Efficiency (RUE). …”
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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.

“…We developed a new and automated approach for WUI calculation that is implemented in the Google Earth Engine (GEE) cloud computing environment. Its automatic calculation, use of regular Sentinel-2 derived time series, and automatic cloud and cloud shadow masking renders WUI applicable for wetland management and produces high quality results with minimal user requirements, even under cloudy conditions. …”
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Innovating and scaling risk reducing measures for farmers and livestock keepers in the drylands by Whitbread, Anthony M., Akinseye, M. Folorunso, Banerjee, Rupsha R., Dhulipala, Ram, Diouf, Fatoumata Bintou, Faye, Aliou, Faye, Adama, Joseph, Emanuel Jacob, Kebe, Amy, Konte, Oumar, Paliwal, Ambica, Sow, Fafa, Wane, Abdrahmane, Worou, Nadine

“…Low-cost internet, affordable smartphones, mobile network penetration, cloud computing and novel communication methods (e,g. …”
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