Підписатись
Cong Xu
Cong Xu
New Zealand School of Forestry, University of Canterbury
Підтверджена електронна адреса в canterbury.ac.nz
Назва
Посилання
Посилання
Рік
Effects of pre-processing methods on Landsat OLI-8 land cover classification using OBIA and random forests classifier
D Phiri, J Morgenroth, C Xu, T Hermosilla
International journal of applied earth observation and geoinformation 73 …, 2018
1062018
Long-term land cover change in Zambia: An assessment of driving factors
D Phiri, J Morgenroth, C Xu
Science of The Total Environment 697, 134206, 2019
762019
Development of a hydrothermal time seed germination model which uses the Weibull distribution to describe base water potential
MS Watt, V Xu, M Bloomberg
Ecological Modelling 221 (9), 1267-1272, 2010
562010
Evaluation of modelling approaches in predicting forest volume and stand age for small-scale plantation forests in New Zealand with RapidEye and LiDAR
C Xu, B Manley, J Morgenroth
International Journal of Applied Earth Observation and Geoinformation 73 …, 2018
542018
Four decades of land cover and forest connectivity study in Zambia—An object-based image analysis approach
D Phiri, J Morgenroth, C Xu
International Journal of Applied Earth Observation and Geoinformation 79, 97-109, 2019
462019
City-wide canopy cover decline due to residential property redevelopment in Christchurch, New Zealand
T Guo, J Morgenroth, T Conway, C Xu
Science of the Total Environment 681, 202-210, 2019
402019
Integrating data from discrete return airborne LiDAR and optical sensors to enhance the accuracy of forest description: A review
C Xu, J Morgenroth, B Manley
Current Forestry Reports 1, 206-219, 2015
342015
Indigenous forest classification in New Zealand–A comparison of classifiers and sensors
N Ye, J Morgenroth, C Xu, N Chen
International Journal of Applied Earth Observation and Geoinformation 102 …, 2021
262021
Impact of the New Zealand Emissions Trading Scheme on Forest Management.
P Maclaren, B Manley, C Andrews, C Branch, R Coles, B Cooper, T Crone, ...
262008
Cross-scale mapping of above-ground biomass and shrub dominance by integrating UAV and satellite data in temperate grassland
A Chen, C Xu, M Zhang, J Guo, X Xing, D Yang, B Xu, X Yang
Remote Sensing of Environment 304, 114024, 2024
172024
An updated survey on the use of geospatial technologies in New Zealand’s plantation forestry sector
S De Gouw, J Morgenroth, C Xu
New Zealand Journal of Forestry Science 50, 2020
162020
Mapping net stocked plantation area for small-scale forests in New Zealand using integrated RapidEye and LiDAR sensors
C Xu, J Morgenroth, B Manley
Forests 8 (12), 487, 2017
132017
Prediction of needle physiological traits using UAV imagery for breeding selection of slash pine
X Niu, Z Song, C Xu, H Wu, Q Luan, J Jiang, Y Li
Plant Phenomics 5, 0028, 2023
102023
Individual tree-based forest species diversity estimation by classification and clustering methods using UAV data
X Li, Z Zheng, C Xu, P Zhao, J Chen, J Wu, X Zhao, X Mu, D Zhao, Y Zeng
Frontiers in ecology and evolution 11, 1139458, 2023
72023
CountShoots: Automatic detection and counting of slash pine new shoots using UAV imagery
X Hao, Y Cao, Z Zhang, F Tomasetto, W Yan, C Xu, Q Luan, Y Li
Plant Phenomics 5, 0065, 2023
62023
Integrating Data from Discrete Return Airborne LiDAR and Optical Sensors to Enhance the Accuracy of Forest Description: A Review. Curr. For. Reports 1, 206–219
C Xu, J Morgenroth, B Manley
62015
Improving neural network classification of indigenous forest in New Zealand with phenological features
N Ye, J Morgenroth, C Xu, Z Cai
Journal of Environmental Management 314, 115134, 2022
52022
Obtaining forest description for small-scale forests using an integrated remote sensing approach
C Xu
University of Canterbury, 2017
52017
Estimating canopy chlorophyll in slash pine using multitemporal vegetation indices from uncrewed aerial vehicles (UAVs)
Q Luan, C Xu, X Tao, L Chen, J Jiang, Y Li
Precision Agriculture 25 (2), 1086-1105, 2024
32024
Describing area and yield for small-scale plantation forests in Wairarapa region of New Zealand using RapidEye and LiDAR
C Xu, B Manley, J Morgenroth
New Zealand Journal of Forestry Science 49, 2019
32019
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