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Haibin Su
Haibin Su
Professor of Geography, Texas A&M University – Kingsville
Verified email at tamuk.edu
Title
Cited by
Cited by
Year
Automated derivation of bathymetric information from multi-spectral satellite imagery using a non-linear inversion model
H Su, H Liu, WD Heyman
Marine Geodesy 31 (4), 281-298, 2008
1792008
Comparison of satellite reflectance algorithms for estimating chlorophyll-a in a temperate reservoir using coincident hyperspectral aircraft imagery and dense coincident …
R Beck, S Zhan, H Liu, S Tong, B Yang, M Xu, Z Ye, Y Huang, S Shu, ...
Remote Sensing of Environment 178, 15-30, 2016
1432016
Geographically adaptive inversion model for improving bathymetric retrieval from satellite multispectral imagery
H Su, H Liu, L Wang, AM Filippi, WD Heyman, RA Beck
IEEE transactions on Geoscience and Remote Sensing 52 (1), 465-476, 2013
862013
Algorithmic foundation and software tools for extracting shoreline features from remote sensing imagery and LiDAR data
H Liu, L Wang, DJ Sherman, Q Wu, H Su
Journal of Geographic Information System 3 (02), 99, 2011
712011
Deriving bathymetry from optical images with a localized neural network algorithm
S Liu, L Wang, H Liu, H Su, X Li, W Zheng
IEEE Transactions on Geoscience and Remote Sensing 56 (9), 5334-5342, 2018
652018
Prediction of Water Depth From Multispectral Satellite Imagery—The Regression Kriging Alternative
H Su, H Liu, Q Wu
Geoscience and Remote Sensing Letters, IEEE 12 (12), 2511-2515, 2015
632015
Comparison of satellite reflectance algorithms for estimating phycocyanin values and cyanobacterial total biovolume in a temperate reservoir using coincident hyperspectral …
R Beck, M Xu, S Zhan, H Liu, RA Johansen, S Tong, B Yang, S Shu, Q Wu, ...
Remote Sensing 9 (6), 538, 2017
572017
Bathymetry retrieval from optical images with spatially distributed support vector machines
L Wang, H Liu, H Su, J Wang
GIScience & remote sensing 56 (3), 323-337, 2019
522019
Evaluating the portability of satellite derived chlorophyll-a algorithms for temperate inland lakes using airborne hyperspectral imagery and dense surface observations
R Johansen, R Beck, J Nowosad, C Nietch, M Xu, S Shu, B Yang, H Liu, ...
Harmful algae 76, 35-46, 2018
382018
Comparison of satellite reflectance algorithms for estimating turbidity and cyanobacterial concentrations in productive freshwaters using hyperspectral aircraft imagery and …
R Beck, M Xu, S Zhan, R Johansen, H Liu, S Tong, B Yang, S Shu, Q Wu, ...
Journal of Great Lakes Research 45 (3), 413-433, 2019
192019
A graph-based approach for assessing storm-induced coastal changes
Q Wu, H Su, DJ Sherman, H Liu, JM Wozencraft, B Yu, Z Chen
International journal of remote sensing 37 (20), 4854-4873, 2016
52016
Contrasting historical and recent breakup styles on the Meade River of Arctic Alaska in the context of a warming climate
RA Beck, KM Hinkel, WR Eisner, D Whiteman, CD Arp, R Machida, ...
Scientific Research Publishing, 2013
42013
East Texas forests show strong resilience to exceptional drought
T Chaudhary, W Xi, M Subedi, S Rideout-Hanzak, H Su, NP Dewez, ...
Forestry 96 (3), 326-339, 2023
32023
Derivation of Coastal Bathymetry and Stream Habitat Attributes Using Remote Sensing Images and Airborne LiDAR
H Su
University of Cincinnati, 2011
2011
Preliminary study on the relationships between soil electrical conductivity and soil suction in modern Yellow River Delta
L Qingsheng, L Gaohuan, S Haibin
Chinese Agricultural Science Bulletin, 2007
2007
GLOBAL, REGIONAL AND LOCALIZED INVERSION METHODS FOR MAPPING BATHYMETRY BASED ON MULTI-SPECTRAL IMAGERY
H Liu
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