Citrus pest stress monitoring using airborne hyperspectral imagery. - Qian Du 001; J. Victor French; Mani Skaria; Chenghai Yang; James H. Everitt (IGARSS, 2004)

Airborne hyperspectral image analysis for grain sorghum yield variability mapping. - Qian Du 001; Chenghai Yang; James H. Everitt (IGARSS, 2005)

Using Airborne and Satellite Imagery to Distinguish and Map Black Mangrove Along the South Texas Gulf Coast. - Tashieka James; Shobha Sriharan; James H. Everitt; Chenghai Yang (IGARSS (1), 2008)

Mapping Riparian and Wetland Weeds with High Resolution Satellite Imagery. - Shobha Sriharan; James H. Everitt; Chenghai Yang; Reginald S. Fletcher (IGARSS (1), 2008)

Applying linear spectral unmixing to airborne hyperspectral imagery for mapping crop yield variability. - Chenghai Yang; James H. Everitt; Joe M. Bradford (WHISPERS, 2009)

Unsupervised linear unmixing of hyperspectral image for crop yield estimation. - Bin Luo 005; Chenghai Yang; Jocelyn Chanussot (IGARSS, 2010)

Spectral unmixing of airborne hyperspectral imagery for mapping giant reed infestations. - Chenghai Yang; Qian Du 001; James H. Everitt; John A. Goolsby; Nicolas H. Younan (WHISPERS, 2010)

Mapping three invasive weeds using airborne hyperspectral imagery. - Chenghai Yang; James H. Everitt (Ecol. Informatics, 2010)

Linear unmixing of multidate hyperspectral imagery for crop yield estimation. - Bin Luo 005; Chenghai Yang; Jocelyn Chanussot (IGARSS, 2011)

Applying spectral unmixing and support vector machine to airborne hyperspectral imagery for detecting giant reed. - Chenghai Yang; John A. Goolsby; James H. Everitt; Qian Du 001 (IGARSS, 2011)

Using High-Resolution Airborne and Satellite Imagery to Assess Crop Growth and Yield Variability for Precision Agriculture. - Chenghai Yang; James H. Everitt; Qian Du 001; Bin Luo 005; Jocelyn Chanussot (Proc. IEEE, 2013)

Crop Yield Estimation Based on Unsupervised Linear Unmixing of Multidate Hyperspectral Imagery. - Bin Luo 005; Chenghai Yang; Jocelyn Chanussot; Liangpei Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2013)

An Airborne Multispectral Imaging System Based on Two Consumer-Grade Cameras for Agricultural Remote Sensing. - Chenghai Yang; John K. Westbrook; Charles P.-C. Suh; Daniel E. Martin; W. Clint Hoffmann; Yubin Lan; Bradley K. Fritz; John A. Goolsby (Remote. Sens., 2014)

Change detection of cotton root rot infection over 10-year intervals using airborne multispectral imagery. - Chenghai Yang; Gary N. Odvody; J. Alex Thomasson; Thomas Isakeit; Robert L. Nichols (Comput. Electron. Agric., 2016)

Evaluation of an Airborne Remote Sensing Platform Consisting of Two Consumer-Grade Cameras for Crop Identification. - Jian Zhang 012; Chenghai Yang; Huaibo Song; Wesley Clint Hoffmann; Dongyan Zhang 001; Guozhong Zhang (Remote. Sens., 2016)

Evaluation of Sentinel-2A Satellite Imagery for Mapping Cotton Root Rot. - Xiaoyu Song; Chenghai Yang; Mingquan Wu; Chunjiang Zhao 001; Guijun Yang; Wesley Clint Hoffmann; Wenjiang Huang (Remote. Sens., 2017)

Spatial Variability Analysis of Within-Field Winter Wheat Nitrogen and Grain Quality Using Canopy Fluorescence Sensor Measurements. - Xiaoyu Song; Guijun Yang; Chenghai Yang; Jihua Wang; Bei Cui (Remote. Sens., 2017)

Evaluation of Orthomosics and Digital Surface Models Derived from Aerial Imagery for Crop Type Mapping. - Mingquan Wu; Chenghai Yang; Xiaoyu Song; Wesley Clint Hoffmann; Wenjiang Huang; Zheng Niu; Changyao Wang; Wang Li 001 (Remote. Sens., 2017)

Crop Classification and LAI Estimation Using Original and Resolution-Reduced Images from Two Consumer-Grade Cameras. - Jian Zhang 012; Chenghai Yang; Biquan Zhao; Huaibo Song; Wesley Clint Hoffmann; Yeyin Shi; Dongyan Zhang 001; Guozhong Zhang (Remote. Sens., 2017)

Image dehazing based on dark channel prior and brightness enhancement for agricultural remote sensing images from consumer-grade cameras. - Jiawei Zhang; Xiuyuan Wang 005; Chenghai Yang; Jian Zhang 012; Dongjian He; Huaibo Song (Comput. Electron. Agric., 2018)

Registration for Optical Multimodal Remote Sensing Images Based on FAST Detection, Window Selection, and Histogram Specification. - Xiaoyang Zhao; Jian Zhang 012; Chenghai Yang; Huaibo Song; Yeyin Shi; Xingen Zhou; Dongyan Zhang 001; Guozhong Zhang (Remote. Sens., 2018)

A shadow- eliminated vegetation index (SEVI) for removal of self and cast shadow effects on vegetation in rugged terrains. - Hong Jiang; Sen Wang; Xiaojie Cao; Chenghai Yang; Zhaoming Zhang; Xiaoqin Wang (Int. J. Digit. Earth, 2019)

Integrating Growth and Environmental Parameters to Discriminate Powdery Mildew and Aphid of Winter Wheat Using Bi-Temporal Landsat-8 Imagery. - Huiqin Ma; Wenjiang Huang; Yuanshu Jing; Chenghai Yang; Liangxiu Han; Yingying Dong; Huichun Ye; Yue Shi; Qiong Zheng; Linyi Liu; Chao Ruan (Remote. Sens., 2019)

Spectral Heterogeneity Predicts Local-Scale Gamma and Beta Diversity of Mesic Grasslands. - H. Wayne Polley; Chenghai Yang; Brian J. Wilsey; Philip A. Fay (Remote. Sens., 2019)

Identification of Cotton Root Rot by Multifeature Selection from Sentinel-2 Images Using Random Forest. - Xingrong Li; Chenghai Yang; Wenjiang Huang; Jia Tang; Yanqin Tian; Qing Zhang (Remote. Sens., 2020)

A Plant-by-Plant Method to Identify and Treat Cotton Root Rot Based on UAV Remote Sensing. - Tianyi Wang; J. Alex Thomasson; Thomas Isakeit; Chenghai Yang; Robert L. Nichols (Remote. Sens., 2020)

Automatic Classification of Cotton Root Rot Disease Based on UAV Remote Sensing. - Tianyi Wang; J. Alex Thomasson; Chenghai Yang; Thomas Isakeit; Robert L. Nichols (Remote. Sens., 2020)

Assessing the Effect of Real Spatial Resolution of In Situ UAV Multispectral Images on Seedling Rapeseed Growth Monitoring. - Jian Zhang 012; Chufeng Wang; Chenghai Yang; Tianjin Xie; Zhao Jiang; Tao Hu; Zhibang Luo; Guangsheng Zhou; Jing Xie (Remote. Sens., 2020)

Segmenting Purple Rapeseed Leaves in the Field from UAV RGB Imagery Using Deep Learning as an Auxiliary Means for Nitrogen Stress Detection. - Jian Zhang 012; Tianjin Xie; Chenghai Yang; Huaibo Song; Zhao Jiang; Guangsheng Zhou; Dongyan Zhang 001; Hui Feng; Jing Xie (Remote. Sens., 2020)

Automatic Estimation of Crop Disease Severity Levels Based on Vegetation Index Normalization. - Hengqian Zhao; Chenghai Yang; Wei Guo 029; Lifu Zhang; Dongyan Zhang 001 (Remote. Sens., 2020)

Correction: Zhao, H., et al. Automatic Estimation of Crop Disease Severity Levels Based on Vegetation Index Normalization. Remote Sensing 2020, 12, 1930. - Hengqian Zhao; Chenghai Yang; Wei Guo 029; Lifu Zhang; Dongyan Zhang 001 (Remote. Sens., 2020)

Retrieval of rapeseed leaf area index using the PROSAIL model with canopy coverage derived from UAV images as a correction parameter. - Bo Sun; Chufeng Wang; Chenghai Yang; Baodong Xu; Guangsheng Zhou; Xiaoyong Li; Jing Xie; Shijie Xu; Bin Liu; Tianjin Xie; Jie Kuai; Jian Zhang (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Crop height estimation based on UAV images: Methods, errors, and strategies. - Tianjin Xie; Jijun Li; Chenghai Yang; Zhao Jiang; Yahui Chen; Liang Guo 015; Jian Zhang (Comput. Electron. Agric., 2021)

Identification of Abandoned Jujube Fields Using Multi-Temporal High-Resolution Imagery and Machine Learning. - Xingrong Li; Chenghai Yang; Hongri Zhang; Panpan Wang; Jia Tang; Yanqin Tian; Qing Zhang (Remote. Sens., 2021)

GIS-based volunteer cotton habitat prediction and plant-level detection with UAV remote sensing. - Tianyi Wang; Xiaohan Mei; J. Alex Thomasson; Chenghai Yang; Xiongzhe Han; Pappu Kumar Yadav; Yeyin Shi (Comput. Electron. Agric., 2022)

A novel composite vegetation index including solar-induced chlorophyll fluorescence for seedling rapeseed net photosynthesis rate retrieval. - Jian Zhang; Bo Sun; Chenghai Yang; Chunyun Wang; Yunhao You; Guangsheng Zhou; Bin Liu; Chufeng Wang; Jie Kuai; Jing Xie (Comput. Electron. Agric., 2022)

Estimating Rangeland Fine Fuel Biomass in Western Texas Using High-Resolution Aerial Imagery and Machine Learning. - Zheng Li; Jay P. Angerer; Xavier Jaime; Chenghai Yang; X. Ben Wu (Remote. Sens., 2022)

Remote Sensing Monitoring of Rice Grain Protein Content Based on a Multidimensional Euclidean Distance Method. - Jie Zhang; Xiaoyu Song; Xia Jing; Guijun Yang; Chenghai Yang; Haikuan Feng; Jiaojiao Wang; Shikang Ming (Remote. Sens., 2022)

Winter Wheat Nitrogen Estimation Based on Ground-Level and UAV-Mounted Sensors. - Xiaoyu Song; Guijun Yang; Xingang Xu; Dongyan Zhang 001; Chenghai Yang; Haikuan Feng (Sensors, 2022)

Evaluation of spatial resolution on crop disease detection based on multiscale images and category variance ratio. - Hengqian Zhao; Yifeng Yang; Chenghai Yang; Rui Song; Wei Guo 029 (Comput. Electron. Agric., 2023)

Comparisons between temporal statistical metrics, time series stacks and phenological features derived from NASA Harmonized Landsat Sentinel-2 data for crop type mapping. - Xiaomi Liu; Shuai Xie; Jiangning Yang; Lin Sun 001; Liangyun Liu; Qing Zhang; Chenghai Yang (Comput. Electron. Agric., 2023)

Exploring Effective Detection and Spatial Pattern of Prickly Pear Cactus (Opuntia Genus) from Airborne Imagery before and after Prescribed Fires in the Edwards Plateau. - Xavier Jaime; Jay P. Angerer; Chenghai Yang; John Walker; Jose Mata; Doug R. Tolleson; X. Ben Wu (Remote. Sens., 2023)

Editorial for Special Issue: "Recent Progress in UAV-AI Remote Sensing". - Yingying Dong; Chenghai Yang; Giovanni Laneve; Wenjiang Huang (Remote. Sens., 2023)

Applying machine learning classifiers to Sentinel-2 imagery for early identification of cotton fields to advance boll weevil eradication. - Chenghai Yang; Charles P.-C. Suh (Comput. Electron. Agric., 2023)

A PROSAIL model with a vegetation index lookup table optimized with in-situ statistics for rapeseed leaf area index estimation using diverse unmanned aerial vehicle sensors in the Yangtze River Basin. - Chufeng Wang; Chenghai Yang; Jian Zhang; Jie Kuai; Jing Xie; Wei Wu; Qingsong Zuo; Mingli Yan; Hai Du; Ni Ma; Bin Liu; Liangzhi You (Comput. Electron. Agric., 2023)

A fast and lightweight detection model for wheat fusarium head blight spikes in natural environments. - Chunfeng Gao; Wei Guo 029; Chenghai Yang; Zheng Gong; Jibo Yue; Yuanyuan Fu; Haikuan Feng (Comput. Electron. Agric., 2024)