المؤلفون: Craig W. Whippo, Nicanor Z. Saliendra, Mark A. Liebig

المصدر: Heliyon, Vol 10, Iss 8, Pp e29838- (2024)

مصطلحات موضوعية: Big-leaf, Drought stress, Soybean, Management practices, Northern great plains, Science (General), Q1-390, Social sciences (General), H1-99

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844024058699; https://doaj.org/toc/2405-8440

URL الوصول: https://doaj.org/article/75944572431d438283050bdd6293ee30

المؤلفون: Mark A. Liebig, Nicanor Z. Saliendra, David W. Archer

المصدر: Agrosystems, Geosciences & Environment, Vol 5, Iss 3, Pp n/a-n/a (2022)

مصطلحات موضوعية: Agriculture, Environmental sciences, GE1-350

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2639-6696

URL الوصول: https://doaj.org/article/212d503ab4994884b0f50080840dd4d5

المؤلفون: Mark A. Liebig, David W. Archer, Jonathan J. Halvorson, Holly A. Johnson, Nicanor Z. Saliendra, Jason R. Gross, Donald L. Tanaka

المصدر: Land, Vol 8, Iss 2, p 32 (2019)

مصطلحات موضوعية: GRACEnet, Nitrous oxide, soil organic carbon, Agriculture

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2073-445X/8/2/32; https://doaj.org/toc/2073-445X

URL الوصول: https://doaj.org/article/32e5607889eb4270b508164ac50ae3ce

المؤلفون: Sarah C. Goslee, Russell L. Scott, Gerald N. Flerchinger, David D. Bosch, Shawn D. Taylor, David L. Hoover, Nicole Kaplan, Elizabeth H. Boughton, Amartya Saha, Nuria Gomez-Casanovas, Jeffrey D. Wood, Gretchen R. Miller, Joseph G. Alfieri, Brandon T. Bestelmeyer, Andrew E. Suyker, Nicanor Z. Saliendra, Andrew D. Richardson, Nick M. Haddad, Eric S. Russell, Dawn M. Browning, Pat Clark, Guillermo E. Ponce-Campos, Raoul K. Boughton, Gregory W. McCarty, Sheri Spiegal, Marguerite Mauritz, Xukai Zhang, Craig E. Tweedie, Carl J. Bernacchi, John M. Baker, John Sadler, Abdullah A. Jaradat, Bijan Seyednasrollah

المصدر: Ecological Indicators, Vol 131, Iss, Pp 108147-(2021)

مصطلحات موضوعية: Agroecosystem, Growing season length, Ecology, Phenology, Eddy covariance, General Decision Sciences, Growing season, Vegetation, Atmospheric sciences, Normalized Difference Vegetation Index, Pearson product-moment correlation coefficient, Agricultural management, symbols.namesake, Long-Term Agroecosystem Research (LTAR) network, Productivity (ecology), symbols, Environmental science, Indicators, GPP, Ecology, Evolution, Behavior and Systematics, QH540-549.5

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17a97dcc7c6c21831ab6c3af3707ffa8
http://www.sciencedirect.com/science/article/pii/S1470160X21008128

المؤلفون: Nicanor Z. Saliendra, S. Sunoj, John R. Hendrickson, C. Igathinathane, David W. Archer

المصدر: ISPRS Journal of Photogrammetry and Remote Sensing. 146:221-234

مصطلحات موضوعية: Color calibration, 010504 meteorology & atmospheric sciences, business.industry, Pattern recognition, Image processing, 01 natural sciences, Atomic and Molecular Physics, and Optics, Computer Science Applications, 010309 optics, Matrix (chemical analysis), Digital image, Region of interest, 0103 physical sciences, ColorChecker, Calibration, Artificial intelligence, Computers in Earth Sciences, business, Focus (optics), Engineering (miscellaneous), 0105 earth and related environmental sciences, Mathematics

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::2337c077af900ce2a9477223a2d24db5
https://doi.org/10.1016/j.isprsjprs.2018.09.015

المؤلفون: Nataliia Kussul, Heather McNairn, Santiago R. Verón, Scott Mitchell, Dipankar Mandal, Avik Bhattacharya, Vineet Kumar, Katarzyna Dabrowska-Zielinska, Andrii Shelestov, Nima Ahmadian, Radoslaw Gurdak, Laura Dingle Robertson, Daniel Spengler, Erik Borg, Y. S. Rao, Inbal Becker-Reshef, Christopher Conrad, Diego de Abelleyra, Andrew A. Davidson, Saeid Homayouni, Nicanor Z. Saliendra, Mehdi Hosseini

المساهمون: Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Gil, Emilio, Francisco Javier, García-Haro

المصدر: Remote Sensing, 13(7)
Remote Sensing 13 (7) : 1348. (2021)
INTA Digital (INTA)
Instituto Nacional de Tecnología Agropecuaria
instacron:INTA
Remote Sensing
Remote Sensing, 2021, 13 (7), ⟨10.3390/rs13071348⟩
Remote Sensing, Vol 13, Iss 1348, p 1348 (2021)
Remote Sensing; Volume 13; Issue 7; Pages: 1348

مصطلحات موضوعية: Synthetic aperture radar, 010504 meteorology & atmospheric sciences, Backscatter, Mean squared error, Science, Water cloud model, 0211 other engineering and technologies, 02 engineering and technology, RADARSAT-2, Índice de Superficie Foliar, 01 natural sciences, Remote Sensing, Machine Learning, Statistics, Machine learning, Calibration, Teledetección, Nationales Bodensegment, Leaf area index, Sentinel-1, leaf area index, water cloud model, machine learning, Water content, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Mathematics, Moisture, Modelo de Nube de Agua, Leaf Area Index, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Support vector machine, General Earth and Planetary Sciences, Aprendizaje Automático, Water Cloud Model

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96b25f06a448c752ebeb798e5f5cd729
http://resolver.tudelft.nl/uuid:e5387ec5-0f79-4e31-baa3-977c3beadf3c

المؤلفون: Nima Ahmadian, Diego de Abelleyra, Bruno Basso, Milena Plannells, Scott Mitchell, David D. Bosch, Santiago R. Verón, Mehdi Hosseini, Heather McNairn, Michael H. Cosh, Guerric Le Maire, Alisa W. Coffin, Silvia Valero, Laura Dingle Robertson, Andrew Davidson, Nicanor Z. Saliendra

المساهمون: Agriculture and Agri-Food [Ottawa] (AAFC), Carleton University, University of Maryland [College Park], University of Maryland System, Instituto Nacional de Tecnología Agropecuaria (INTA), Universidad de Buenos Aires [Buenos Aires] (UBA), Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET), Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre d'études spatiales de la biosphère (CESBIO), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Julius-Maximilians-Universität Würzburg [Wurtzbourg, Allemagne] (JMU), USDA-ARS : Agricultural Research Service, USDA ARS Hydrology and Remote Sensing Laboratory, Michigan State University [East Lansing], Michigan State University System, Canadian Space Agency [Project 17MOA01001]

المصدر: International Journal of Remote Sensing
International Journal of Remote Sensing, Taylor & Francis, 2020, 41 (24), pp.9628-9649. ⟨10.1080/01431161.2020.1805136⟩

مصطلحات موضوعية: Synthetic aperture radar, [SDV.SA]Life Sciences [q-bio]/Agricultural sciences, 010504 meteorology & atmospheric sciences, C band, Télédétection, F08 - Systèmes et modes de culture, Radar à synthèse d'ouverture, 0211 other engineering and technologies, Cartographie de l' utilisation des terres, 02 engineering and technology, Imagerie par satellite, Conditions météorologiques, 01 natural sciences, données spatiales, Cartographie de l'occupation du sol, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Surveillance des cultures, Observation satellitaire, nuage, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Constellation, Remote sensing, 2. Zero hunger, 15. Life on land, General Earth and Planetary Sciences, Environmental science, Système de culture, U30 - Méthodes de recherche, Cropping, Analyse de séries chronologiques

وصف الملف: text

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b777d928a1335f26d35319549c0a0f6
http://agritrop.cirad.fr/598291/

المؤلفون: Bruno Basso, Milena Planells, Michael H. Cosh, Mehdi Hosseini, Diego de Abelleyra, Nicanor Z. Saliendra, Santiago R. Verón, Scott Mitchell, Nima Ahmadian, Laura Dingle Robertson, Andrew Davidson, Heather McNairn, Silvia Valero, David D. Bosch, Alisa W. Coffin, Paul Siqueira, Pierre Defourny, Guerric Le Maire

المصدر: IGARSS

مصطلحات موضوعية: Synthetic aperture radar, Tree (data structure), Series (mathematics), C band, Computer science, 010401 analytical chemistry, 0211 other engineering and technologies, 02 engineering and technology, 01 natural sciences, 021101 geological & geomatics engineering, 0104 chemical sciences, Remote sensing

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::2172b8061a422f3ac039da9ba2d43330
https://doi.org/10.1109/igarss.2019.8898364

المؤلفون: John Hom, Nicanor Z. Saliendra, Mary Lynn Baeck, Claire Welty, Prathap Ramamurthy, James A Smith, Elie Bou-Zeid, Zhi-Hua Wang

المصدر: Journal of Applied Meteorology and Climatology. 53:2114-2129

مصطلحات موضوعية: Hydrology, Atmosphere, Atmospheric Science, Asphalt, Latent heat, Impervious surface, Environmental science, Sensible heat, Scale (map), Energy budget, Material properties

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::338d077127646e2580dcebfc8b05d4a4
https://doi.org/10.1175/jamc-d-13-0286.1

المؤلفون: Duane B. Pool, Rebecca L. Phillips, Mark West, Brad Rundquist, Nicanor Z. Saliendra

المصدر: GIScience & Remote Sensing. 50:133-153

مصطلحات موضوعية: Canopy, Geography, geography.geographical_feature_category, Partial least squares regression, General Earth and Planetary Sciences, Hyperspectral imaging, Spectral bands, Vegetation, Rangeland, Reflectivity, Grassland, Remote sensing

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::f8323451aec77150289662cd0b4e9776
https://doi.org/10.1080/15481603.2013.793469