Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Nicanor Z. Saliendra"'
Publikováno v:
Heliyon, Vol 10, Iss 8, Pp e29838- (2024)
Soybean (Glycine max (L.) Merr.) planting has increased in central and western North Dakota despite frequent drought occurrences that limit productivity. Soybean plants need high photosynthetic and transpiration rates to be productive, but they also
Externí odkaz:
https://doaj.org/article/75944572431d438283050bdd6293ee30
Publikováno v:
Agrosystems, Geosciences & Environment, Vol 5, Iss 3, Pp n/a-n/a (2022)
Abstract The increase in corn (Zea mays L.) and soybean [Glycine max (L.) Merr.] production in rainfed cropping systems of the northern Great Plains (NGP) has altered the delivery of ecosystem services from agricultural land. To date, there is limite
Externí odkaz:
https://doaj.org/article/212d503ab4994884b0f50080840dd4d5
Autor:
Mark A. Liebig, David W. Archer, Jonathan J. Halvorson, Holly A. Johnson, Nicanor Z. Saliendra, Jason R. Gross, Donald L. Tanaka
Publikováno v:
Land, Vol 8, Iss 2, p 32 (2019)
Investigations of global warming potential (GWP) of semiarid cropping systems are needed to ascertain agriculture’s contributions to climate regulation services. This study sought to determine net GWP for three semiarid cropping systems under no-ti
Externí odkaz:
https://doaj.org/article/32e5607889eb4270b508164ac50ae3ce
Autor:
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
Publikováno v:
Ecological Indicators, Vol 131, Iss, Pp 108147-(2021)
Effective measurement of seasonal variations in the timing and amount of production is critical to managing spatially heterogeneous agroecosystems in a changing climate. Although numerous technologies for such measurements are available, their relati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17a97dcc7c6c21831ab6c3af3707ffa8
http://www.sciencedirect.com/science/article/pii/S1470160X21008128
http://www.sciencedirect.com/science/article/pii/S1470160X21008128
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 146:221-234
Image processing in agriculture relies primarily on correlating color changes within images’ region of interest to specific quality attributes (e.g., plant phenology, plant health, crop stress, maturity). Changes in lighting conditions during image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2337c077af900ce2a9477223a2d24db5
https://doi.org/10.1016/j.isprsjprs.2018.09.015
https://doi.org/10.1016/j.isprsjprs.2018.09.015
Autor:
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
Publikováno v:
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
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
The water cloud model (WCM) can be inverted to estimate leaf area index (LAI) using the intensity of backscatter from synthetic aperture radar (SAR) sensors. Published studies have demonstrated that the WCM can accurately estimate LAI if the model is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96b25f06a448c752ebeb798e5f5cd729
http://resolver.tudelft.nl/uuid:e5387ec5-0f79-4e31-baa3-977c3beadf3c
http://resolver.tudelft.nl/uuid:e5387ec5-0f79-4e31-baa3-977c3beadf3c
Autor:
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
Publikováno v:
International Journal of Remote Sensing
International Journal of Remote Sensing, Taylor & Francis, 2020, 41 (24), pp.9628-9649. ⟨10.1080/01431161.2020.1805136⟩
International Journal of Remote Sensing, Taylor & Francis, 2020, 41 (24), pp.9628-9649. ⟨10.1080/01431161.2020.1805136⟩
International audience; Cloudy conditions reduce the utility of optical imagery for crop monitoring. New constellations of satellites – including the RADARSAT Constellation Mission (RCM) and Sentinel-1A/B, both available under free and open data po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b777d928a1335f26d35319549c0a0f6
http://agritrop.cirad.fr/598291/
http://agritrop.cirad.fr/598291/
Autor:
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
Publikováno v:
IGARSS
Cloudy conditions impede and reduce the utility of optical imagery. With the launch of Sentinel-1A and B, the ongoing availability of RADARSAT-2 imagery, and the expected launch of the RADARSAT Constellation Mission (RCM), dense time series of C-band
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2172b8061a422f3ac039da9ba2d43330
https://doi.org/10.1109/igarss.2019.8898364
https://doi.org/10.1109/igarss.2019.8898364
Autor:
John Hom, Nicanor Z. Saliendra, Mary Lynn Baeck, Claire Welty, Prathap Ramamurthy, James A Smith, Elie Bou-Zeid, Zhi-Hua Wang
Publikováno v:
Journal of Applied Meteorology and Climatology. 53:2114-2129
Urban facets—the walls, roofs, and ground in built-up terrain—are often conceptualized as homogeneous surfaces, despite the obvious variability in the composition and material properties of the urban fabric at the subfacet scale. This study focus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::338d077127646e2580dcebfc8b05d4a4
https://doi.org/10.1175/jamc-d-13-0286.1
https://doi.org/10.1175/jamc-d-13-0286.1
Publikováno v:
GIScience & Remote Sensing. 50:133-153
Canopy structural and chemical data are needed for senescent, mixed-grass prairie landscapes in autumn; yet data-driven models are lacking for rangelands dominated by non-photosynthetically active vegetation (NPV). We report how field data and aerial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8323451aec77150289662cd0b4e9776
https://doi.org/10.1080/15481603.2013.793469
https://doi.org/10.1080/15481603.2013.793469