Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Michael L. Whiting"'
Autor:
Dinah D. Tambalo, Yuriy Kryachko, Michael L Whiting, Danae M. Suchan, Jordyn Bergsveinson, Christopher K. Yost, Darren R. Korber, Nurul H. Khan, Yifang Tan, Alexa J. Pierce, Lori A. Manzon
Publikováno v:
Microbial Genomics
The plant growth-promoting rhizobacterium Delftia acidovorans RAY209 is capable of establishing strong root attachment during early plant development at 7 days post-inoculation. The transcriptional response of RAY209 was measured using RNA-seq during
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5370e10e16aef0fa7f1a606a0d7ac5ea
https://nrc-publications.canada.ca/eng/view/object/?id=9f6e7833-11ed-49fa-b594-fdef1662fea5
https://nrc-publications.canada.ca/eng/view/object/?id=9f6e7833-11ed-49fa-b594-fdef1662fea5
Autor:
Daniele Zaccaria, Stephen R. Grattan, Ruyan He, Mae Culumber, Giulia Marino, Richard L. Snyder, Eric R. Kent, Michael L. Whiting, Luis O. Lagos, Yufang Jin, Kyaw Tha Paw U, Louise Ferguson, Cayle Little, Blake L. Sanden
Publikováno v:
Agricultural and Forest Meteorology. 262:178-191
Recent prolonged droughts in California have emphasized the urgent need to implement more efficient water management practices for high value tree crops. Accurate estimation of evapotranspiration (ET), a main component of consumptive water use, is cr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5bc762fb0630bf4dbc7b9c61cc8af62
https://doi.org/10.1016/j.agrformet.2018.07.004
https://doi.org/10.1016/j.agrformet.2018.07.004
Autor:
Jia Tian, Frédéric Baret, Xavier Briottet, Sophie Fabre, Morteza Sadeghi, A. Bablet, Michael L. Whiting, P.V.H. Vu, Stéphane Jacquemoud, F. Viallefont-Robinet
Publikováno v:
Remote Sensing of Environment
Remote Sensing of Environment, Elsevier, 2018, 217, pp.1-17. ⟨10.1016/j.rse.2018.07.031⟩
Remote Sensing of Environment, Elsevier, 2018, 217, pp.1-17. ⟨10.1016/j.rse.2018.07.031⟩
International audience; Surface soil moisture content (SMC) is known to impact soil reflectance at all wavelengths of the solar spectrum. As a consequence, many semi-empirical methods aim at inferring SMC from soil reflectance, but very few rely on p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3616a9b05f42ce23e82ac73c860aed53
https://doi.org/10.1016/j.rse.2018.07.031
https://doi.org/10.1016/j.rse.2018.07.031
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation. 104:102550
Laboratory visible near infrared reflectance (Vis-NIR, 400–2500 nm) spectroscopy has the advantages of simplicity, fast and non-destructive which was used for SM prediction. However, many previously proposed models are difficult to transfer to unkn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::330949f3f9371fb79e8abf81e288f142
https://doi.org/10.1016/j.jag.2021.102550
https://doi.org/10.1016/j.jag.2021.102550
Autor:
Maria Mar Alsina, Keely L. Roth, Susan L. Ustin, Michael L. Whiting, Margarita Huesca, Angeles Casas, Spencer A. Mathews
Publikováno v:
Remote Sensing of Environment. 184:229-246
Our ability to measure and map plant function at multiple ecological scales is critical for understanding current and future changes in Earth's ecosystems and the global carbon budget. Conventional plant functional types (cPFTs) based on a few produc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0dc12aadfa3f0be08bc4123b8abaa21
https://doi.org/10.1016/j.rse.2016.07.014
https://doi.org/10.1016/j.rse.2016.07.014
Autor:
Pablo J. Zarco-Tejada, Xinle Zhang, Susan L. Ustin, Ted Huffman, Huanjun Liu, Michael L. Whiting
Publikováno v:
Precision agriculture., vol 19, iss 2
Quick and low cost delineation of site-specific management zones (SSMZ) would improve applications of precision agriculture. In this study, a new method for delineating SSMZ using object-oriented segmentation of airborne imagery was demonstrated. Thr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be84280564dd11dad28572a3d259f48b
https://escholarship.org/uc/item/5vp3m6wd
https://escholarship.org/uc/item/5vp3m6wd
Autor:
Monica Garcia, Margarita Huesca, Susan L. Ustin, Javier Litago, Shruti Khanna, Michael L. Whiting, Alicia Palacios-Orueta
Publikováno v:
Remote Sensing of Environment. 126:148-159
The availability of high frequency remote sensing time series allows the assessment of crop evolution at different scales. The Spectral Shape Indexes (SSI) represent the shape of a multispectral (MODIS in this case) reflectance profile in a set of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c48f56d99fa14d14039b263877df5fa7
https://doi.org/10.1016/j.rse.2012.08.002
https://doi.org/10.1016/j.rse.2012.08.002
Autor:
Michael L. Whiting, Bruce Lampinen, Samuel Metcalf, Susan L. Ustin, Jose L. Zarate-Valdez, Patrick O. Brown
Publikováno v:
Computers and Electronics in Agriculture. 85:24-32
Three levels of scale for determining leaf area index (LAI) were explored within an almond orchard of alternating rows of Nonpareil and Monterey varieties using hemispherical photography and mule lightbar (MLB) at ground level up to airborne and sate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c3ff6c2386c36418506e8cbbdae8818
https://doi.org/10.1016/j.compag.2012.03.009
https://doi.org/10.1016/j.compag.2012.03.009
Autor:
Manuel Arbelo, Michael L. Whiting, David Riaño, José Andrés Moreno Ruiz, Nancy H. F. French, Susan L. Ustin
Publikováno v:
Remote Sensing of Environment. 117:407-414
A new algorithm for mapping burned areas in boreal forest using AVHRR archival data Long Term Data Record (LTDR) (0.05°, ca. 5 km, version 3) was developed in Canada using burn records for the period between 1984 and 1999 and evaluated against AVHRR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ffad3e0e474aeee4b54613b53b0e96d
https://doi.org/10.1016/j.rse.2011.10.017
https://doi.org/10.1016/j.rse.2011.10.017
Autor:
Susan L. Ustin, Alicia Palacios-Orueta, Shruti Khanna, Javier Litago, David Riaño, Michael L. Whiting
Publikováno v:
Remote Sensing of Environment. 109:154-165
A new index was proposed to estimate soil and vegetation moisture based on NIR (858 nm) and SWIR (1240 and 1640 nm) MODIS bands. The Shortwave Angle Slope Index (SASI) parameterizes the general shape of the NIR–SWIR part of the spectrum. We expand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcfc7357521de7a42e099e0fe606b093
https://doi.org/10.1016/j.rse.2006.12.018
https://doi.org/10.1016/j.rse.2006.12.018