Now showing items 1-10 of 10

    • A multi-resolution approach to national-scale cultivated area estimation of soybean 

      King, LeeAnn; Adusei, Bernard; Stehman, Stephen V.; Potapov, Peter V.; Xiao-Peng, Song; Krylov, Alexander; Di Bella, Carlos Marcelo; Loveland, Thomas R.; Johnson, David M.; Hansen, Matthew C. (2017-06)
      Satellite remote sensing data can provide timely, accurate, and objective information on cultivated area by crop type and, in turn, facilitate accurate estimates of crop production. Here, we present a generic multi-resolution ...
    • Actualización del algoritmo de estimación de la evapotranspiración real para el sensor VIIRS-Suomi NPP 

      Di Bella, Carlos Marcelo; Oricchio, Patricio; Gusmerotti, Lucas Alberto; Texeira González, Marcos Alexis (Asociación Argentina de Ecología, 2019-12)
      Para estudiar, analizar y manejar los agroecosistemas a distintas escalas espaciales y temporales es necesario estimar la evapotranspiración real (ETR). En este trabajo actualizamos los algoritmos de estimación por medio ...
    • Assessing wildfire exposure in the Wildland-Urban Interface area of the mountains of central Argentina 

      Argañaraz, Juan Pablo; Radeloff, V.C.; Bar-Massada, A.; Gavier Pizarro, Gregorio Ignacio; Scavuzzo, Carlos Marcelo; Bellis, Laura Marisa (2017-07-01)
      Wildfires are a major threat to people and property in Wildland Urban Interface (WUI) communities worldwide, but while the patterns of the WUI in North America, Europe and Oceania have been studied before, this is not the ...
    • Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2 

      Bontemps, Sophie; Arias, Marcela; Cara, Cosmin; Dedieu, Gérard; Guzzonato, Eric; Hagolle, Olivier; Inglada, Jordi; Matton, Nicolas; Morin, David; Popescu, Ramona; Rabaute, Thierry; Savinaud, Mickael; Sepulcre, Guadalupe; Valero, Silvia; Ahmad, Ijaz; Bégué, Agnès; Wu, Bingfang; De Abelleyra, Diego; Diarra, Alhousseine; Dupuy, Stéphane; French, Andrew; Akhtar, Ibrar ul Hassan; Kussul, Nataliia; Lebourgeois, Valentine; Le Page, Michel; Newby, Terrence; Savin, Igor; Veron, Santiago Ramón; Koetz, Benjamin; Defourny, Pierre (MDPI, 2015-12)
      Developing better agricultural monitoring capabilities based on Earth Observation data is critical for strengthening food production information and market transparency. The Sentinel-2 mission has the optimal capacity for ...
    • Cartografía de susceptibilidad hídrica en el delta del río Paraná 

      Sepulcri, Maria Gabriela; Pizarro, María José; Flamenco, Eduardo Adrian; Herrera, Maria Gabriela; Borus, J.; Giordano, L. (Gerencia de Comunicación e Imagen Institucional, DNA SICC, INTA, 2012-08)
      El delta del río Paraná es un ecosistema de alta fragilidad ambiental y muy susceptible a las inundaciones. A su vez, se caracteriza por tener una importante actividad económica, social y productiva. Disponer de una ...
    • Estimación de la productividad primaria mediante el modelo de eficiencias y sensores remotos 

      Cristiano, Maria Piedad (Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, 2011-05)
      Uno de los modelos más utilizados para estimar la Productividad Primaria Neta (PPN) a escala regional es el de eficiencias de Kumar and Monteith que permite la inclusión de información satelital. Uno de los parámetros clave ...
    • Estimation of high-resolution terrestrial evapotranspiration from Landsat data using a simple Taylor skill fusion method 

      Yunjun, Yao; Shunlin, Liang; Yuhu, Zhang; Jiquan, Chen; Xianglan, Li; Kun, Jia; Xiaotong, Zhang; Fisher, Joshua B.; Xuanyu, Wang; Lilin, Zhang; Jia, Xu; Changliang, Shao; Posse Beaulieu, Gabriela; Yingnian, Li; Magliulo, Vincenzo; Varlagin, Andrej; Moors, Eddy J.; Boike, Julia; Macfarlane, Craig; Kato, Tomomichi; Buchmann, Nina; Billesbach, D.P.; Beringer, Jason; Wolf, Sebastian; Papuga, Shirley A.; Wohlfahrt, Georg; Montagnani, Leonardo; Ardö, Jonas; Paul-Limoges, Eugénie; Emmel, Carmen; Hörtnagl, Lukas; Sachs, Torsten; Gruening, Carsten; Gioli, Beniamino; López-Ballesteros, Ana; Steinbrecher, Rainer; Gielen, Bert (2017-10)
      Estimation of high-resolution terrestrial evapotranspiration (ET) from Landsat data is important in many climatic, hydrologic, and agricultural applications, as it can help bridging the gap between existing coarse-resolution ...
    • Influence of fuel conditions on the occurrence, propagation and duration of wildland fires: A regional approach 

      Fischer, Maria De Los Angeles; Di Bella, Carlos Marcelo; Jobbagy Gampel, Esteban Gabriel (2015-09)
      Wildfires affect Earth's surface every year. Fuels conditions influence fire occurrence and behavior; therefore, their characterization is important for fire risk studies. We analyzed vegetation conditions influencing fires ...
    • Land degradation assessment in the Argentinean Puna: Comparing expert knowledge with satellite-derived information 

      García, César Luis; Teich, Ingrid; Gonzalez Roglich, Mariano; Kindgard, Adolfo Federico; Ravelo, Andrés Carlos; Liniger, Hanspeter (Elsevier, 2018-11)
      The Puna region, located in NW Argentina, is a dry highland with many endemic species and significant traditional cultural heritage. The Puna was a pilot region for the Land Degradation Assessment in Drylands project ...
    • National-scale soybean mapping and area estimation in the United States using medium resolution satellite imagery and field survey 

      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. (2017)
      Reliable and timely information on agricultural production is essential for ensuring world food security. Freely available medium-resolution satellite data (e.g. Landsat, Sentinel) offer the possibility of improved global ...