Y. Dian

发表

Tree Species Classification by Employing Multiple Features Acquired from Integrated Sensors

Guang Yang, Baoxin Li, Yuntao Ma, 2019, J. Sensors.

Spectral and Texture Features Combined for Forest Tree species Classification with Airborne Hyperspectral Imagery

Y. Dian, Zeng-yuan Li, Y. Pang, 2015, Journal of the Indian Society of Remote Sensing.

Comparison of the Different Classifiers in Vegetation Species Discrimination Using Hyperspectral Reflectance Data

Y. Dian, Shenghui Fang, Yuan Le, 2014, Journal of the Indian Society of Remote Sensing.

Evaluation of Different Algorithms for Estimating the Growing Stock Volume of Pinus massoniana Plantations Using Spectral and Spatial Information from a SPOT6 Image

Y. Dian, J. Xu, Zhixiang Zhou, 2020, Forests.

Influence of Spectral Bandwidth and Position on Chlorophyll Content Retrieval at Leaf and Canopy Levels

Y. Dian, Shenghui Fang, Yuan Le, 2016, Journal of the Indian Society of Remote Sensing.

Monitoring forest dynamics with multi-scale and time series imagery

Y. Dian, Zhixiang Zhou, Chunbo Huang, 2016, Environmental Monitoring and Assessment.

Urban Tree Species Mapping Using Airborne LiDAR and Hyperspectral Data

Yong Pang, Yuanyong Dian, Yanfang Dong, 2016, Journal of the Indian Society of Remote Sensing.

Responses of landscape metrics to altering grain size in the Three Gorges Reservoir landscape in China

Yuanyong Dian, Zhixiang Zhou, Y. Dian, 2016, Environmental Earth Sciences.

Effects of Landscape and Local Factors on the Diversity of Flower-Visitor Groups under an Urbanization Gradient, a Case Study in Wuhan, China

Y. Dian, P. Bowler, Zemin Han, 2022, Diversity.

Comparison of GF2 and SPOT6 Imagery on Canopy Cover Estimating in Northern Subtropics Forest in China

Y. Dian, Chonghuai Yao, Jingjing Zhou, 2020, Forests.

Logging Pattern Detection by Multispectral Remote Sensing Imagery in North Subtropical Plantation Forests

Y. Dian, Yue Hu, Zhuna Wang, 2022, Remote. Sens..

Detection of Standing Dead Trees after Pine Wilt Disease Outbreak with Airborne Remote Sensing Imagery by Multi-Scale Spatial Attention Deep Learning and Gaussian Kernel Approach

Jian Zhang, Y. Dian, Haoran Lin, 2022, Remote. Sens..

Evaluating the Performance of Hyperspectral Leaf Reflectance to Detect Water Stress and Estimation of Photosynthetic Capacities

Yuanyong Dian, Jing-Jing Zhou, Ya-Hao Zhang, 2021, Remote. Sens..

Hyperspectral sensing of photosynthesis, stomatal conductance, and transpiration for citrus tree under drought condition

Y. Dian, Chun-Gen Hu, Jingjing Zhou, 2021, bioRxiv.

LiCHy: The CAF's LiDAR, CCD and Hyperspectral Integrated Airborne Observation System

Hao Lu, Ying Guo, Yong Pang, 2016, Remote. Sens..

Characterizing Spatial Patterns of Pine Wood Nematode Outbreaks in Subtropical Zone in China

Yuanyong Dian, Zemin Han, Xinwei Fang, 2021, Remote. Sens..

Identification of Tree Species in Forest Communities at Different Altitudes Based on Multi-Source Aerial Remote Sensing Data

Y. Dian, Zemin Han, Xiao-Yang Liu, 2023, Applied Sciences.

Seasonal Variations of the Relationship between Spectral Indexes and Land Surface Temperature Based on Local Climate Zones: A Study in Three Yangtze River Megacities

Y. Dian, Zhixiang Zhou, Mingjun Teng, 2023, Remote. Sens..

Forest tree species clssification based on airborne hyper-spectral imagery

Yuanyong Dian, Zengyuan Li, Yong Pang, 2013, Other Conferences.

Characteristics of photosynthesis and vertical canopy architecture of citrus trees under two labor-saving cultivation modes using unmanned aerial vehicle (UAV)-based LiDAR data in citrus orchards

Y. Dian, Jinxin Zhang, Chun-Gen Hu, 2023, Horticulture research.

Comparing Fully Deep Convolutional Neural Networks for Land Cover Classification with High-Spatial-Resolution Gaofen-2 Images

Yuanyong Dian, Xiong Wang, Yuan Li, 2020, ISPRS Int. J. Geo Inf..

Linking naturalness and quality improvement of monoculture plantations in urban area: A case study in Wuhan city, China

Y. Dian, Zhixiang Zhou, Mingjun Teng, 2020 .

Improving Seasonal Land Cover Maps of Poyang Lake Area in China by Taking into Account Logical Transitions

Guang Yang, Yuanyong Dian, Shenghui Fang, 2016, ISPRS Int. J. Geo Inf..

Utilizing Hyperspectral Reflectance and Machine Learning Algorithms for Non-Destructive Estimation of Chlorophyll Content in Citrus Leaves

Y. Dian, Jingjing Zhou, Jinzhi Zhang, 2023, Remote. Sens..

Potential of Detecting the Sulfur Dioxide Stress on Landscape Plants in Spectral Reflectance Data

Y. Dian, Zhixiang Zhou, Shenghui Fang, 2018, Journal of the Indian Society of Remote Sensing.

Non-destructive Analysis Chlorophyll Content of Different Genotypes of Poplars Based on Hyperspectral Reflectance Data

Y. Dian, X. Liu, Y. Wang, 2016 .

The change detection of multi-temporal remote sensing images based on D-S algorithm

Yuanyong Dian, Shenghui Fang, Y. Dian, 2009, Other Conferences.