Search Results - Sense data.

The FLUXNET 20165 dataset and the ONEFlux processing pipeline for eddy covariance data by Pastorello, Gilberto, Trotta, Carlo, Canfora, Eleonora, Chu, Housen, Christianson, Danielle, Cheah, You - Wei, Poindexter, Cristina, Chen, Jiquan, Elbashandy, Abdelrahman, Humphrey, Marty, Isaac, Peter, Polidori, Diego, Riveca, Alessio, van Ingen, Catharine, Zhang, Leiming, Amiro, Brian, Ammann, Christof, Altaf Arain, M., Ardo, Jonas, Arkebauer, Timothy, Arndt, Stefan K., Arriga, Nicola, Aubinet, Marc, Aurela, Mika, Baldocchi, Dennis, Barr, Alan, Beamesderfer, Eric, Belelli Marchesini, Luca, Bergeron, Onil, Beringer, Jason, Bernhofer, Christian, Berveiller, Daniel, Billesbach, Dave, Black, Thomas Andrew, Blanken, Peter D., Bohrer, Gil, Boike, Julia, Bolstad, Paul V., Bonal, Damien, Bonnefond, Jean - Marc, Bowling, David R., Bracho, Rosuel, Brodeur, Jason, Brummer, Christian, Buchmann, Nina, Burban, Benoit, Burns, Sean P., Buysse, Pauline, Cale, Peter, Cavagna, Mauro, Cellier, Pierre, Chen, Shiping, Chini, Issac, Christensen, Storben, Cleverly, James, Collatti, Alessio, Consalvo, Claudia, Cook, Bruce, Cook, David, Coversolle, Carole, Cremonese, Edoardo, Curtis, Peter, D'Andrea, Ettore, da Rocha, Humberto, Dai, Xiaoqin, Davis, Kenneth, De Cinti, Bruno, de Grandcourt, agnes, De Ligne, Anne, De Oliveira, Raimundo C., Delpierre, Nicolas, Desai, Ankur R., Di Bella, Carlos Marcelo, di Tommasi, Paul, Dolman, Han, Domingo, Francisco, Dong, Gang, Dore, Sabina, Duce, Pierpaolo, Dufrêne, Eric, Dunn, Allison, Dušek, Jiří, Eamus, Derek, Eichelmann, Uwe, ElKhidir, Hatim abdalla M., Eugster, Werner, Ewenz, Cacilia M., Ewers, Brent, Famulari, Daniela, Fares, Silvano, Feigenwinter, Iris, Feitz, Andrew, Fensholt, Rasmus, Filippa, Gianluca, Fischer, Marc, Frank, John, Galvagno, Marta, Gharun, Mana, Gianelle, Damiano, Gielen, Bert, Gioli, Beniamino, Gitelson, Anatoly, Goded, Ignacio, Goeckede, Mathias, Goldstein, Allen H., Gough, Christopher M., Goulden, Michael L., Graf, Alexander, Griebel, Anne, Gruening, Carsten, Grünwald, Thomas, Hammerle, Albin, Han, Shijie, Han, Xingguo, Hansen, Birger Ulf, Hanson, Chad, Hatakka, Juha, He, Yongtao, Hehn, Markus, Heinesch, Bernard, Hinko-Najera, Nina, Hörtnagl, Lukas, Hutley, Lindsay, Ibrom, Andreas, Ikawa, Hiroki, Jackowicz-Korczynski, Marcin, Janouš, Dalibor, Jans, Wilma, Jassal, Rachhpal, Jiang, Shicheng, Kato, Tomomichi, Khomik, Myroslava, Klatt, Janina, Knohl, Alexander, Knox, Sara, Kobayashi, Hideki, Koerber, Georgia, Kolle, Olaf, Kosugi, Yoshiko, Kotani, Ayumi, Kowalski, Andrew, Kruijt, Bart, Kurbatova, Julia, Kutsch, Werner L., Kwon, Hyojung, Launiainen, Samuli, Laurila, Tuomas, Law, Bev, Leuning, Ray, Li, Yingnian, Liddell, Michael, Limousin, Jean-Marc, Lion, Marryanna, Liska, Adam J., Lohila, Annalea, López-Ballesteros, Ana, López-Blanco, Efrén, Loubet, Benjamin, Loustau, Denis, Lucas-Moffat, Antje, Lüers, Johannes, Ma, Siyan, Macfarlane, Craig, Magliulo, Vincenzo, Maier, Regine, Mammarella, Ivan, Manca, Giovanni, Marcolla, Barbara, Margolis, Hank A., Marras, Serena, Massman, William, Mastepanov, Mikhail, Matamala, Roser, Matthes, Jaclyn Hatala, Mazzenga, Francesco, McCaughey, Harry, McHugh, Ian, McMillan, Andrew M. S., Merbold, Lutz, Meyer, Wayne, Meyers, Tilden, Miller, Scott D., Minerbi, Stefano, Moderow, Uta, Monson, Russell K., Montagnani, Leonardo, Moore, Caitlin E., Moors, Eddy, Moreaux, Virginie, Moureaux, Christine, Munger, J. William, Nakai, Taro, Neirynck, Johan, Nesic, Zoran, Nicolini, Giacomo, Noormets, Asko, Northwood, Matthew, Nosetto, Marcelo Daniel, Nouvellon, Yann, Novick, Kimberly, Oechel, Walter, Olesen, Jørgen Eivind, Ourcival, Jean-Marc, Papuga, Shirley A., Parmentier, Frans-Jan, Paul-Limoges, Eugenie, Pavelka, Marian, Peichl, Matthias, Pendall, Elise, Phillips, Richard P., Pilegaard, Kim, Pirk, Norbert, Posse Beaulieu, Gabriela, Powell, Thomas, Prasse, Heiko, Prober, Suzanne M., Rambal, Serge, Rannik, Üllar, Raz-Yaseef, Naama, Reed, David, Resco de Dios, Victor, Restrepo-Coupe, Natalia, Reverter, Borja R., Roland, Marilyn, Sabbatini, Simone, Sachs, Torsten, Saleska, Scott R., Sánchez-Cañete, Enrique P., Sanchez-Mejia, Zulia M., Schmid, Hans Peter, Schmidt, Marius, Schneider, Karl, Schrader, Frederik, Schroder, Ivan, Scott, Russell L., Sedlák, Pavel, Serrano-Ortíz, Penélope, Shao, Changliang, Shi, Peili, Shironya, Ivan, Siebicke, Lukas, Šigut, Ladislav, Silberstein, Richard, Sirca, Costantino, Spano, Donatella, Steinbrecher, Rainer, Stevens, Robert M., Sturtevant, Cove, Suyker, Andy, Tagesson, Torbern, Takanashi, Satoru, Tang, Yanhong, Tapper, Nigel, Thom, Jonathan, Tiedemann, Frank, Tomassucci, Michele, Tuovinen, Juha-Pekka, Urbanski, Shawn, Valentini, Riccardo, van der Molen, Michiel, van Gorsel, Eva, van Huissteden, Ko, Varlagin, Andrej, Verfaillie, Joseph, Vesala, Timo, Vincke, Caroline, Vitale, Domenico, Vygodskaya, Natalia, Walker, Jeffrey P., Walter-Shea, Elizabeth, Wang, Huimin, Weber, Robin, Westermann, Sebastian, Wille, Christian, Wofsy, Steven, Wohlfahrt, Georg, Wolf, Sebastian, Woodgate, William, Li, Yuelin, Zampedri, Roberto, Zhang, Junhui, Zhou, Guoyi, Zona, Donatella, Agarwal, Deb, Biraud, Sebastien, Torn, Margaret, Papale, Dario

Subjects: “…Remote Sensing…”
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Ganges and Indus river basin land use/land cover (LULC) and irrigated area mapping using continuous streams of MODIS data by Thenkabail, Prasad S., Schull, Mitchell, Turral, Hugh

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An algorithm for rapid flood inundation mapping from optical data using a reflectance differencing technique by Amarnath, Giriraj

“…The NDSWI-based approach produces the best results for mapping of flood-inundated areas when verified with actual satellite data. Analysis of results reveals that NDSWI has the potential to detect floodwater turbidity, which was verified using principal component analysis. …”
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Monitoring Corn Nitrogen Concentration from Radar (C-SAR), Optical, and Sensor Satellite Data Fusion by Lapaz Olveira, Adrián, Sainz Rozas, Hernan Rene, Castro Franco, Mauricio, Carciochi, Walter, Nieto, Luciana, Balzarini, Mónica, Ciampitti, Ignacio, Reussi Calvo, Nahuel Ignacio

“…Thus, satellite remote sensing via sensor data fusion is a critical data source for predicting changes in plant N status.…”
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Multispectral and thermal infrared data, visual scores for severity of common rust symptoms, and genotypic single nucleotide polymorphism data of three F2-derived biparental double... by Loladze, Alexander, Rodrigues, Francelino, Petroli, Cesar, Muñoz-Zavala, Carlos, Naranjo, Sergio, San Vicente Garcia, Felix M., Gerard, Bruno, Montesinos-Lopez, Osval A., Crossa, Jose, Martini, Johannes W.R.

“…Additionally, unmanned aerial vehicle (UAV) derived multispectral and thermal infrared data was recorded and combined in different vegetation indices (“remote sensing”, RS). …”
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Observations and interpretation of seasonal ERS-1 wind scatterometer data over northern Sahel (Mali) by Frison, P.L., Mougin, E., Hiernaux, Pierre H.Y.

Subjects: “…remote sensing…”
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Evaluating satellite-based evapotranspiration estimates for hydrological applications in data-scarce regions: A case in Ethiopia by Dile, Y. T., Ayana, E. K., Worqlul, Abeyou W., Xie, Hua, Srinivasan, R., Lefore, Nicole, You, Liangzhi, Clarke, Neville

Subjects: “…spatial data…”
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Irrigated area mapping using AVHRR, MODIS and LANDSAT ETM+ data for the Krishna River Basin, India by Gumma, Murali K., Thenkabail, Prasad S., Gautam, N.C., Gangadhara Rao, Parthasaradhi, Velpuri, Naga Manohar

“…However, the irrigation projects do not fulfill the demand in the basin consequently the tail Enders grow dry crops. Remote sensing replaces costly and tedious data collection on the ground, which is non-destructive. …”
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Spatial rice yield estimation based on MODIS and Sentinel-1 SAR data and ORYZA crop growth model by Setiyono, Tri, Quicho, Emma, Gatti, Luca, Campos-Taberner, Manuel, Busetto, Lorenzo, Collivignarelli, Francesco, García-Haro, Francisco, Boschetti, Mirco, Khan, Nasreen, Holecz, Francesco

“…The developed system combines MODIS and SAR-based remote-sensing data to generate spatially explicit inputs for rice using a crop growth model. …”
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Mapping wetland areas on forested landsacpes using Radarasat-2 and Landsat-5 TM data by Martin, Jennifer

Subjects: “…multi-soruce data…”

Proximal sensing of Urochloa grasses increases selection accuracy by Jiménez, Juan de la Cruz, Leiva Sandoval, Luisa Fernanda, Cardoso, Juan Andrés, French, Andrew N., Thorp, Kelly R.

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Water productivity mapping methods using remote sensing by Biradar, Chandrashekhar M., Thenkabail, Prasad S., Platonov, Alexander, Xiao, X., Geerken, R., Noojipady, P., Turral, Hugh, Vithanage, Jagath

“…The goal of this paper was to develop methods and protocols for water productivity mapping (WPM) using remote sensing data at multiple resolutions and scales in conjunction with field-plot data. …”
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EIA yield at scale project 2nd year Ph.D report (2024) on large scale yield gap estimation and characterization with multi-soruce remote sensing data: case study of rainfed wheat in Ethiopia

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Remote sensing of soil salinity mapping: status and potential by Ayan Das, Bhattacharya, Bimal K., Obi Reddy, G.P., Bhaskar Narjary, Sharma, P.C., Samar Attaher, Govind, Ajit, Chakraborty, Debashis

“…Different sensors can identify soil salinity in remote sensing data through direct and indirect indicators. …”
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Perceptions and landscape values in the English Lake District : a case study of Troutbeck Valley by Szász, Edina

“…Analysis of the interview results involved the organization and thematic categorization of data. One relevant finding was the uniformity of the identified key categories and sub-categories for the sense of place constructed by the respondents, which was found primarily ‘recreational’ by visitors and predominantly ‘reassuring-comforting’ by residents. …”

Statistics from space: Next-generation agricultural production information for enhanced monitoring of food security in Mozambique: Project status update (H1 2023) by Koo, Jawoo

Subjects: “…data…”
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Statistics from space: Next-generation agricultural production information for enhanced monitoring of food security in Mozambique - project inception workshop report [in Korean] by Koo, Jawoo, Manuel, Lourenco

Subjects: “…data…”
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Toward sustainable land use planning: Land use mapping for Nandi County, Kenya by Hettiarachchi, Upeksha, Zhang, Wei, Zhe, Guo, Kibet, Walter

Subjects: “…data…”
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Detecting spatio-temporal changes in the extent of seasonal and annual flooding in South Asia using multi-resolution satellite data by Amarnath, Giriraj, Ameer, Mohamed, Aggarwal, Pramod K., Smakhtin, Vladimir U.

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Spatial prediction of soil organic carbon stocks in Ghana using legacy data by Owusu, Stephen, Yigini, Yusuf, Olmedo, Guillermo Federico, Omuto, Christian Thine

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