Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Erich Emery"'
Autor:
Gaurav Atreya, Erich Emery, Nathan Rogacki, Martin Buck, Reza Soltanian, Drew McAvoy, Patrick Ray
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 54, Iss , Pp 101897- (2024)
Study region:: The Ohio River in the northeast United States (US). Study focus:: Low streamflows are critical for urban water security, agricultural irrigation, water quality regulatory thresholds, navigation passage, and ecological well-being. Howev
Externí odkaz:
https://doaj.org/article/e9d7b184fcfd43aea45d7a98faf571e4
Autor:
Lei Wang, Min Xu, Yang Liu, Hongxing Liu, Richard Beck, Molly Reif, Erich Emery, Jade Young, Qiusheng Wu
Publikováno v:
Remote Sensing, Vol 12, Iss 20, p 3278 (2020)
Monitoring harmful algal blooms (HABs) in freshwater over regional scales has been implemented through mapping chlorophyll-a (Chl-a) concentrations using multi-sensor satellite remote sensing data. Cloud-free satellite measurements and a sufficient n
Externí odkaz:
https://doaj.org/article/3dc0b96685bb4f8f9f88c2573eceaf3a
Autor:
Richard Beck, Min Xu, Shengan Zhan, Hongxing Liu, Richard A. Johansen, Susanna Tong, Bo Yang, Song Shu, Qiusheng Wu, Shujie Wang, Kevin Berling, Andrew Murray, Erich Emery, Molly Reif, Joseph Harwood, Jade Young, Mark Martin, Garrett Stillings, Richard Stumpf, Haibin Su, Zhaoxia Ye, Yan Huang
Publikováno v:
Remote Sensing, Vol 9, Iss 6, p 538 (2017)
We analyzed 27 established and new simple and therefore perhaps portable satellite phycocyanin pigment reflectance algorithms for estimating cyanobacterial values in a temperate 8.9 km2 reservoir in southwest Ohio using coincident hyperspectral aircr
Externí odkaz:
https://doaj.org/article/8635b376b18341ef88d654bf0246a896
Autor:
Bo Yang, Song Shu, Min Xu, Hongxing Liu, Shujie Wang, Richard A. Beck, John D. Lekki, Molly K. Reif, Roger Tokars, Erich Emery, Robert C. Anderson, Yang Liu
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-16
In previous studies, empirical models have been widely used to map water quality parameters for inland waters using remotely sensed imagery. Due to the complex optical properties of inland waters, empirical models often have limited performances and
Autor:
John D. Lekki, Yang Liu, Bo Yang, Robert C. Anderson, Richard A. Beck, Richard Johansen, Min Xu, Teresa Benko, Erich Emery, Hongxing Liu, Molly K. Reif, Song Shu, Roger Tokars
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 57:4758-4774
Various empirical algorithms have been developed to retrieve chlorophyll-a (Chl-a) from multispectral and hyperspectral images as a proxy variable for algal blooms in inland waters. In most previous studies, a single empirical model (global model) wa
Autor:
Min Xu, Richard A. Beck, Song Shu, Teresa Benko, John D. Lekki, Hongxing Liu, Robert C. Anderson, Emily L. Kang, Molly K. Reif, Erich Emery, Bo Yang, Richard Johansen
Publikováno v:
Journal of Great Lakes Research. 45:454-465
This research proposes an ensemble method for synergistically combining multiple empirical algorithms to better estimate chlorophyll-a (Chl-a) concentration. In previous studies, different empirical algorithms have been employed separately and a sing
Autor:
Roger Tokars, Catharine L. R. McGhan, Richard P. Stumpf, Min Xu, Ou Ma, Hongxing Liu, Carol Tolbert, Erich Emery, Thomas Black, Molly K. Reif, John D. Lekki, Richard Johansen, Richard A. Beck
Publikováno v:
Lake and Reservoir Management. 35:193-207
Johansen RA, Beck R, Stumpf R, Lekki J, Tokars R, Tolbert C, McGhan C, Black T, Ma O, Xu M, Liu H, Reif M, Emery E. 2019. HABSat-1: assessing the feasibility of using CubeSats for the detec...
Autor:
Yang Liu, Lei Wang, Min Xu, Erich Emery, Richard A. Beck, Molly K. Reif, Hongxing Liu, Qiusheng Wu, Jade Young
Publikováno v:
Remote Sensing, Vol 12, Iss 3278, p 3278 (2020)
Remote Sensing; Volume 12; Issue 20; Pages: 3278
Remote Sensing; Volume 12; Issue 20; Pages: 3278
Monitoring harmful algal blooms (HABs) in freshwater over regional scales has been implemented through mapping chlorophyll-a (Chl-a) concentrations using multi-sensor satellite remote sensing data. Cloud-free satellite measurements and a sufficient n