Zobrazeno 1 - 10 of 12 pro vyhledávání: '"Hannah M. Cooper"'
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Akademický článek
Evaluating the Ability of Multi-Sensor Techniques to Capture Topographic Complexity
Autor: Hannah M. Cooper, Thad Wasklewicz, Zhen Zhu, William Lewis, Karley LeCompte, Madison Heffentrager, Rachel Smaby, Julian Brady, Robert Howard
Publikováno v: Sensors, Vol 21, Iss 6, p 2105 (2021)
This study provides an evaluation of multiple sensors by examining their precision and ability to capture topographic complexity. Five different small unmanned aerial systems (sUAS) were evaluated, each with a different camera, Global Navigation Sate
Externí odkaz: https://doaj.org/article/510f445541ca471381227a1f34ec218c
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2
Object-based correction of LiDAR DEMs using RTK-GPS data and machine learning modeling in the coastal Everglades
Autor: Tiffany G. Troxler, Caiyun Zhang, Hannah M. Cooper, Stephen E. Davis
Publikováno v: Environmental Modelling & Software. 112:179-191
Light Detection and Ranging (LiDAR) Digital Elevation Models (DEMs) are frequently applied in modeling coastal environments. We present an object-based correction approach for accurate and precise DEMs by integrating LiDAR point data, aerial imagery,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::feca74372b64aaece2f5035582dedb26
https://doi.org/10.1016/j.envsoft.2018.11.003
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3
Evaluating the Ability of Multi-Sensor Techniques to Capture Topographic Complexity
Autor: Madison Heffentrager, Karley LeCompte, Thad A. Wasklewicz, Julian Brady, Zhen Zhu, Rachel Smaby, Robert Howard, William Lewis, Hannah M. Cooper
Publikováno v: Sensors
Volume 21
Issue 6
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 2105, p 2105 (2021)
This study provides an evaluation of multiple sensors by examining their precision and ability to capture topographic complexity. Five different small unmanned aerial systems (sUAS) were evaluated, each with a different camera, Global Navigation Sate
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecdb0343ed1299e003d3522bca7ada64
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5
Enhancing Lidar Data Integrity in the Coastal Everglades
Autor: Caiyun Zhang, Hannah M. Cooper
Publikováno v: Multi-sensor System Applications in the Everglades Ecosystem ISBN: 9780429075872
Multi-sensor System Applications in the Everglades Ecosystem
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4682262bd5532f8aa4e50f3753beee1a
https://doi.org/10.1201/9780429075872-16
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6
Quantification of sawgrass marsh aboveground biomass in the coastal Everglades using object-based ensemble analysis and Landsat data
Autor: Deepak R. Mishra, Hannah M. Cooper, Sara Denka, Caiyun Zhang
Publikováno v: Remote Sensing of Environment. 204:366-379
Large-scale biomass quantification of sawgrass (Cladium jamaicense) marsh is critical to understand the carbon and energy cycle in the Florida Everglades. There is also a need to monitor biomass changes in the coastal Everglades due to continuing sea
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::25fe01a31a6f5be98a6d9f19572c1486
https://doi.org/10.1016/j.rse.2017.10.018
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7
A Framework to Combine Three Remotely Sensed Data Sources for Vegetation Mapping in the Central Florida Everglades
Autor: Hannah M. Cooper, Caiyun Zhang, Donna Selch
Publikováno v: Wetlands. 36:201-213
A framework was designed to integrate three complimentary remotely sensed data sources (aerial photography, hyperspectral imagery, and LiDAR) for mapping vegetation in the Florida Everglades. An object-based pixel/feature-level fusion scheme was deve
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bd007acf8ca4f259bba28244985f614e
https://doi.org/10.1007/s13157-015-0730-7
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8
Incorporating uncertainty of groundwater modeling in sea-level rise assessment: a case study in South Florida
Autor: Donna Selch, Hannah M. Cooper, Caiyun Zhang
Publikováno v: Climatic Change. 129:281-294
Researchers can assist in effective decision making by reducing uncertainty in marine and groundwater inundation due to Sea-level Rise (SLR). A majority of studies consider marine inundation, but only recently has groundwater inundation been incorpor
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::24f95f4b060a39d9e3dc802b8dbb1e7a
https://doi.org/10.1007/s10584-015-1334-1
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9
Mapping urban land cover types using object-based multiple endmember spectral mixture analysis
Autor: Donna Selch, Fang Qiu, Xuelian Meng, Zhixiao Xie, Hannah M. Cooper, Caiyun Zhang, Soe W. Myint, Charles Roberts
Publikováno v: Remote Sensing Letters. 5:521-529
Spectral mixture analysis has been frequently applied in various fields to solve the mixed pixel problem in remote sensing. So far, all the research in mixture analysis has focused on the sub-pixel analysis, i.e., selecting endmembers and conducting
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a96fcfdf8f4ee09c69495275f9c0a71a
https://doi.org/10.1080/2150704x.2014.930197
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10
Object-based benthic habitat mapping in the Florida Keys from hyperspectral imagery
Autor: Ge Chen, Donna Selch, Zhixiao Xie, Charles Roberts, Hannah M. Cooper, Caiyun Zhang
Publikováno v: Estuarine, Coastal and Shelf Science. 134:88-97
Accurate mapping of benthic habitats in the Florida Keys is essential in developing effective management strategies for this unique coastal ecosystem. In this study, we evaluated the applicability of hyperspectral imagery collected from Airborne Visi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::79bd1c0cfadb2acd17e9e5b124006607
https://doi.org/10.1016/j.ecss.2013.09.018
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