Suivre
Yifang Shi
Titre
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Année
Important LiDAR metrics for discriminating forest tree species in Central Europe
Y Shi, T Wang, AK Skidmore, M Heurich
ISPRS Journal of Photogrammetry and remote sensing 137, 163-174, 2018
1522018
Tree species classification using plant functional traits from LiDAR and hyperspectral data
Y Shi, AK Skidmore, T Wang, S Holzwarth, U Heiden, N Pinnel, X Zhu, ...
International Journal of Applied Earth Observation and Geoinformation 73 …, 2018
1372018
Foliar and woody materials discriminated using terrestrial LiDAR in a mixed natural forest
X Zhu, AK Skidmore, R Darvishzadeh, KO Niemann, J Liu, Y Shi, T Wang
International journal of applied earth observation and geoinformation 64, 43-50, 2018
1092018
Improving leaf area index (LAI) estimation by correcting for clumping and woody effects using terrestrial laser scanning
X Zhu, AK Skidmore, T Wang, J Liu, R Darvishzadeh, Y Shi, J Premier, ...
Agricultural and forest meteorology 263, 276-286, 2018
952018
Large off-nadir scan angle of airborne LiDAR can severely affect the estimates of forest structure metrics
J Liu, AK Skidmore, S Jones, T Wang, M Heurich, X Zhu, Y Shi
ISPRS journal of photogrammetry and remote sensing 136, 13-25, 2018
872018
Improving LiDAR-based tree species mapping in Central European mixed forests using multi-temporal digital aerial colour-infrared photographs
Y Shi, T Wang, AK Skidmore, M Heurich
International Journal of Applied Earth Observation and Geoinformation 84, 101970, 2020
482020
Mapping individual silver fir trees using hyperspectral and LiDAR data in a Central European mixed forest
Y Shi, T Wang, AK Skidmore, S Holzwarth, U Heiden, M Heurich
International Journal of Applied Earth Observation and Geoinformation 98, 102311, 2021
282021
Notebook‐as‐a‐VRE (NaaVRE): From private notebooks to a collaborative cloud virtual research environment
Z Zhao, S Koulouzis, R Bianchi, S Farshidi, Z Shi, R Xin, Y Wang, N Li, ...
Software: Practice and Experience 52 (9), 1947-1966, 2022
262022
Laserfarm–a high-throughput workflow for generating geospatial data products of ecosystem structure from airborne laser scanning point clouds
WD Kissling, Y Shi, Z Koma, C Meijer, O Ku, F Nattino, ...
Ecological Informatics 72, 101836, 2022
152022
Country-wide data of ecosystem structure from the third Dutch airborne laser scanning survey
WD Kissling, Y Shi, Z Koma, C Meijer, O Ku, F Nattino, ...
Data in Brief 46, 108798, 2023
112023
Which metrics derived from airborne laser scanning are essential to measure the vertical profile of ecosystems?
WD Kissling, Y Shi
Diversity and Distributions 29 (10), 1315-1320, 2023
82023
Scaling notebooks as re-configurable cloud workflows
Y Wang, S Koulouzis, R Bianchi, N Li, Y Shi, J Timmermans, WD Kissling, ...
Data Intelligence 4 (2), 409-425, 2022
82022
Performance, effectiveness and computational efficiency of powerline extraction methods for quantifying ecosystem structure from light detection and ranging
Y Shi, WD Kissling
GIScience & Remote Sensing 60 (1), 2260637, 2023
32023
Enabling" LiDAR data processing" as a service in a Jupyter environment
S Koulouzis, Y Shi, Y Wan, R Bianchi, D Kissling, Z Zhao
EGU General Assembly Conference Abstracts, EGU21-8294, 2021
22021
Towards consistently measuring and monitoring habitat condition with airborne laser scanning and unmanned aerial vehicles
WD Kissling, Y Shi, J Wang, A Walicka, C George, JE Moeslund, F Gerard
Ecological Indicators 169, 112970, 2024
12024
Remotely sensing the species of individual trees
Y Shi
12020
Multi-temporal high-resolution data products of ecosystem structure derived from country-wide airborne laser scanning surveys of the Netherlands
Y Shi, WD Kissling
Earth System Science Data Discussions 2024, 1-44, 2024
2024
Generating geospatial data products of ecosystem structure from LiDAR using Notebook-as-a-VRE (NaaVRE)
Y Shi, S Koulouzis, R Bianchi, J Timmermans, WD Kissling, Z Zhao
EGU General Assembly Conference Abstracts, EGU-11716, 2023
2023
Featured Cover
J Zhao, F Yuan, F Fu, Y Liu, C Xue, K Wang, X Yuan, D Li, Q Liu, W Zhang, ...
The Journal of Clinical Hypertension 23 (1), i-i, 2021
2021
D4. 2 Assessment of interoperability and maturity for upscaling habitat condition metrics
WD Kissling, Y Shi, J Wang, A Walicka, C George, JE Moeslund, F Gerard
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