Zobrazeno 1 - 10
of 110
pro vyhledávání: '"Mac McKee"'
Autor:
Ayman Nassar, Alfonso Torres-Rua, Lawrence Hipps, William Kustas, Mac McKee, David Stevens, Héctor Nieto, Daniel Keller, Ian Gowing, Calvin Coopmans
Publikováno v:
Remote Sensing, Vol 14, Iss 2, p 372 (2022)
Understanding the spatial variability in highly heterogeneous natural environments such as savannas and river corridors is an important issue in characterizing and modeling energy fluxes, particularly for evapotranspiration (ET) estimates. Currently,
Externí odkaz:
https://doaj.org/article/17a00968c08f4f348dc023ca0f10941b
Autor:
Ayman Nassar, Alfonso Torres-Rua, William Kustas, Hector Nieto, Mac McKee, Lawrence Hipps, David Stevens, Joseph Alfieri, John Prueger, Maria Mar Alsina, Lynn McKee, Calvin Coopmans, Luis Sanchez, Nick Dokoozlian
Publikováno v:
Remote Sensing, Vol 12, Iss 3, p 342 (2020)
Evapotranspiration (ET) is a key variable for hydrology and irrigation water management, with significant importance in drought-stricken regions of the western US. This is particularly true for California, which grows much of the high-value perennial
Externí odkaz:
https://doaj.org/article/04c97046e20d4dde8f6a38cfca8a33a4
Publikováno v:
Remote Sensing, Vol 7, Iss 3, Pp 2627-2646 (2015)
Many crop production management decisions can be informed using data from high-resolution aerial images that provide information about crop health as influenced by soil fertility and moisture. Surface soil moisture is a key component of soil water ba
Externí odkaz:
https://doaj.org/article/5c783f8174a04e5ab2e81666a2a96255
Publikováno v:
Sensors, Vol 17, Iss 9, p 2106 (2017)
Applications of satellite-borne observations in precision agriculture (PA) are often limited due to the coarse spatial resolution of satellite imagery. This paper uses high-resolution airborne observations to increase the spatial resolution of satell
Externí odkaz:
https://doaj.org/article/65d2729e56714f5781dfbf63208e9c1b
Publikováno v:
Water, Vol 8, Iss 4, p 167 (2016)
Spatial surface soil moisture can be an important indicator of crop conditions on farmland, but its continuous estimation remains challenging due to coarse spatial and temporal resolution of existing remotely-sensed products. Furthermore, while prece
Externí odkaz:
https://doaj.org/article/4768b5e805ff446c9390f0e310214c7b
Autor:
Mahyar Aboutalebi, Alfonso F. Torres-Rua, Mac McKee, William P. Kustas, Hector Nieto, Maria Mar Alsina, Alex White, John H. Prueger, Lynn McKee, Joseph Alfieri, Lawrence Hipps, Calvin Coopmans, Luis Sanchez, Nick Dokoozlian
Publikováno v:
Irrigation Science. 40:553-574
Autor:
MARYJANE DINIZ DE ARAÚJO GOMES, RODRIGO MÁXIMO SÁCHEZ ROMÁN, ALFONSO TORRES-RUA, ÉLVIS DA SILVA ÁLVES, MAC MCKEE
Publikováno v:
IRRIGA. 26:605-619
COMPARAÇÃO DO NDVI OBTIDO POR MEIO DE DRONE E SATÉLITE NAS FASES FENOLÓGICAS DA VIDEIRA MARYJANE DINIZ DE ARAÚJO GOMES1; RODRIGO MÁXIMO SÁCHEZ ROMÁN2; ALFONSO TORRES-RUA3; ÉLVIS DA SILVA ÁLVES4 E MAC MCKEE3 1 Instituto Federal de Ciência e
Publikováno v:
Advances in Geoscience and Remote Sensing
This chapter focuses on using small low-cost unmanned aircraft systems (UAS) for remote sensing of meteorological and related conditions over agricultural fields or environmentally important land areas. Small UAS, including unmanned aerial vehicle (U
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f158d52702133286ebf079fcc7a0f24d
http://www.intechopen.com/articles/show/title/aggieair-towards-low-cost-cooperative-multispectral-remote-sensing-using-small-unmanned-aircraft-sys
http://www.intechopen.com/articles/show/title/aggieair-towards-low-cost-cooperative-multispectral-remote-sensing-using-small-unmanned-aircraft-sys
Autor:
John H. Prueger, Lawrence E. Hipps, Lynn McKee, Ayman Nassar, Nick Dokoozlian, William P. Kustas, Calvin Coopmans, Mac McKee, Maria Mar Alsina, L. Sanchez, Hector Nieto, Alfonso F. Torres-Rua, Joseph G. Alfieri
Publikováno v:
Proc SPIE Int Soc Opt Eng
Civil and Environmental Engineering Faculty Publications
Civil and Environmental Engineering Faculty Publications
Estimation of surface energy fluxes using thermal remote sensing–based energy balance models (e.g., TSEB2T) involves the use of local micrometeorological input data of air temperature, wind speed, and incoming solar radiation, as well as vegetation
Autor:
Lynn McKee, Calvin Coopmans, Nick Dokoozlian, Joseph G. Alfieri, Hector Nieto, William P. Kustas, L. Sanchez, Mac McKee, John H. Prueger, Alfonso F. Torres-Rua, Lawrence E. Hipps, Maria Mar Alsina, Ayman Nassar
Publikováno v:
Civil and Environmental Engineering Faculty Publications
Proc SPIE Int Soc Opt Eng
Proc SPIE Int Soc Opt Eng
Validation of surface energy fluxes from remote sensing sources is performed using instantaneous field measurements obtained from eddy covariance (EC) instrumentation. An eddy covariance measurement is characterized by a footprint function / weighted