Inversion of soil Cu concentration based on band selection of hyperspetral data. - Xia Zhang; Changping Huang; Bo Liu; Qingxi Tong (IGARSS, 2010)

Laboratory Calibration of a Field Imaging Spectrometer System. - Lifu Zhang; Changping Huang; Taixia Wu; Feizhou Zhang; Qingxi Tong (Sensors, 2011)

Sensitivity analysis of radiometrical calibration model to system settings based on field imaging spectrometers. - Changping Huang; Lifu Zhang; Qingxi Tong (IGARSS, 2012)

Decomposition of volume scattering, polarized light and chlorophyll fluorescence by in-situ polarization measurement. - Changping Huang; Lifu Zhang; Dadong Wang; Taixia Wu; Qingxi Tong (IGARSS, 2013)

Polarized Spectral Measurement and Analysis of Sedum Spectabile Boreau Using a Field Imaging Spectrometer System. - Taixia Wu; Lifu Zhang; Yi Cen; Changping Huang; Xuejian Sun; Hengqian Zhao; Qingxi Tong (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

A Radiometric Calibration Model for the Field Imaging Spectrometer System. - Changping Huang; Lifu Zhang; Junyong Fang; Qingxi Tong (IEEE Trans. Geosci. Remote. Sens., 2013)

Evaluation of Multiple Spring Phenological Indicators of Yearly GPP and NEP at Three Canadian Forest Sites. - Qian Wang; Lifu Zhang; Taixia Wu; Yi Cen; Changping Huang; Qingxi Tong (Remote. Sens., 2014)

Spatial-temporal information extraction for vegetation phenology variation based on modis ndvi datasets in the Tibetan Plateau. - Yi Cen; Guibin Hao; Lifu Zhang; Bo Wu 019; Dongjie Fu; Xuejian Sun; Changping Huang (WHISPERS, 2015)

Investigating Fraunhofer line based fluorescence retrieval in O2-B band with hyperspectral radiative transfer simulations. - Changping Huang; Lifu Zhang; Yi Cen; Qingxi Tong (WHISPERS, 2015)

An analysis of shadow effects on spectral vegetation indices using a ground-based imaging spectrometer. - Taixia Wu; Lifu Zhang; Changping Huang (WHISPERS, 2015)

Method for time series extraction of characteristic parameters from multidimensional remote sensing datasets. - Lifu Zhang; Hao Chen; Dongjie Fu; Taixia Wu; Jia Liu 022; Changping Huang (WHISPERS, 2015)

Comparison of the Continuity of Vegetation Indices Derived from Landsat 8 OLI and Landsat 7 ETM+ Data among Different Vegetation Types. - Xiaojun She; Lifu Zhang; Yi Cen; Taixia Wu; Changping Huang; Muhammad Hasan Ali Baig (Remote. Sens., 2015)

Comparison of hyperspectral vegetation indices based on CASI airborne data. - Xiaojun She; Lifu Zhang; Changping Huang; Siheng Wang (IGARSS, 2016)

Disentangling isotropic fluorescence from the canopy directional reflectance using BRDF models. - Changping Huang; Lifu Zhang; Siheng Wang; Dongjie Fu (WHISPERS, 2016)

Monitoring and Assessing the 2012 Drought in the Great Plains: Analyzing Satellite-Retrieved Solar-Induced Chlorophyll Fluorescence, Drought Indices, and Gross Primary Production. - Siheng Wang; Changping Huang; Lifu Zhang; Yi Lin 002; Yi Cen; Taixia Wu (Remote. Sens., 2016)

Interpretation and implication of canopy diurnal fluorescence by the field automatic measurment system. - Changping Huang; Lifu Zhang; Na Qiao; Siheng Wang (IGARSS, 2017)

Ground-based long-term remote sensing of solar-induced chlorophyll fluorescence: Methods, challenges and opportunities. - Siheng Wang; Lifu Zhang; Changping Huang; Na Qiao (IGARSS, 2017)

Perspectives on Chinese developments in spaceborne imaging spectroscopy: What's new in 2016. - Lifu Zhang; Changping Huang; Xuejian Sun; Hang Yang; Xun Jian 003 (IGARSS, 2017)

Retrieval of Sun-Induced Chlorophyll Fluorescence Using Statistical Method Without Synchronous Irradiance Data. - Lifu Zhang; Siheng Wang; Changping Huang; Yi Cen; Yongguang Zhai; Qingxi Tong (IEEE Geosci. Remote. Sens. Lett., 2017)

An NDVI-Based Vegetation Phenology Is Improved to be More Consistent with Photosynthesis Dynamics through Applying a Light Use Efficiency Model over Boreal High-Latitude Forests. - Siheng Wang; Lifu Zhang; Changping Huang; Na Qiao (Remote. Sens., 2017)

Maize Leaf Area Index Retrieval Using FY-3B Satellite Data by Long Short-Term Memory Model. - Mao Zhang; Xia Zhang; Changping Huang; Senlin Tang; Wenchao Qi (IGARSS, 2019)

A Global Sensitivity Analysis of Commonly Used Satellite-Derived Vegetation Indices for Homogeneous Canopies Based on Model Simulation and Random Forest Learning. - Siheng Wang; Dong Yang; Zhen Li; Liangyun Liu; Changping Huang; Lifu Zhang (Remote. Sens., 2019)

Monitoring Drought Effects on Vegetation Productivity Using Satellite Solar-Induced Chlorophyll Fluorescence. - Lifu Zhang; Na Qiao; Changping Huang; Siheng Wang (Remote. Sens., 2019)

Downscaling solar-induced chlorophyll fluorescence for field-scale cotton yield estimation by a two-step convolutional neural network. - Xiaoyan Kang; Changping Huang; Lifu Zhang; Ze Zhang; Xin Lv (Comput. Electron. Agric., 2022)

Estimation of Cotton Leaf Area Index (LAI) Based on Spectral Transformation and Vegetation Index. - Yiru Ma; Qiang Zhang; Xiang Yi; Lulu Ma; Lifu Zhang; Changping Huang; Ze Zhang; Xin Lv (Remote. Sens., 2022)

Early Monitoring of Cotton Verticillium Wilt by Leaf Multiple "Symptom" Characteristics. - Mi Yang; Changping Huang; Xiaoyan Kang; Shizhe Qin; Lulu Ma; Jin Wang; Xiaoting Zhou; Xin Lv; Ze Zhang (Remote. Sens., 2022)

Monitoring Spatio-Temporal Dynamics in the Eastern Plain Lakes of China Using Long-Term MODIS UNWI Index. - Lifu Zhang; Sa Wang; Yi Cen; Changping Huang; Hongming Zhang 006; Xuejian Sun; Qingxi Tong (Remote. Sens., 2022)

Crop classification based on the spectrotemporal signature derived from vegetation indices and accumulated temperature. - Lifu Zhang; Liaoran Gao; Changping Huang; Nan Wang; Sa Wang; Mingyuan Peng; Xia Zhang; Qingxi Tong (Int. J. Digit. Earth, 2022)

Global-Local 3-D Convolutional Transformer Network for Hyperspectral Image Classification. - Wenchao Qi; Changping Huang; Yibo Wang 014; Xia Zhang; Weiwei Sun 005; Lifu Zhang (IEEE Trans. Geosci. Remote. Sens., 2023)

Considering Nonoverlapped Bands Construction: A General Dictionary Learning Framework for Hyperspectral and Multispectral Image Fusion. - Yan Zhang 068; Lifu Zhang; Ruoxi Song; Changping Huang; Qingxi Tong (IEEE Trans. Geosci. Remote. Sens., 2023)

Parallel Spectral-Spatial Attention Network with Feature Redistribution Loss for Hyperspectral Change Detection. - Yixiang Huang; Lifu Zhang; Changping Huang; Wenchao Qi; Ruoxi Song (Remote. Sens., 2023)

Spatial-Convolution Spectral-Transformer Interactive Network for Large-Scale Fast Refined Land Cover Classification and Mapping Based on ZY1-02D Satellite Hyperspectral Imagery. - Yibo Wang 014; Xia Zhang; Changping Huang; Wenchao Qi; Jinnian Wang; Xiankun Yang; Songtao Ding; Shiyu Tao (Remote. Sens., 2023)

Dependence of the Bidirectional Reflectance Distribution Function Factor ƒ′ on the Particulate Backscattering Ratio in an Inland Lake. - Yu Zhang 224; Lifu Zhang; Changping Huang; Yi Cen; Qingxi Tong (Remote. Sens., 2023)

Contrastive Self-Supervised Two-Domain Residual Attention Network with Random Augmentation Pool for Hyperspectral Change Detection. - Yixiang Huang; Lifu Zhang; Wenchao Qi; Changping Huang; Ruoxi Song (Remote. Sens., 2023)

Semi-Supervised HyperMatch-Driven Cross Temporal and Spatial Interaction Transformer for Hyperspectral Change Detection. - Yixiang Huang; Lifu Zhang; Wenchao Qi; Ruoxi Song; Changping Huang; Yi Cen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Roles of Physiological and Nonphysiological Information in Sun-Induced Chlorophyll Fluorescence Variations for Detecting Cotton Verticillium Wilt. - Junru Zhou; Changping Huang; Yaohui Gui; Mi Yang; Ze Zhang; Wenjiang Huang; Lifu Zhang; Qingxi Tong (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Exploring Conflict-Matching Learning With Temporal Weight-Sharing and Bandwise Spatial-Interacting Transformer for Hyperspectral Change Detection. - Yixiang Huang; Lifu Zhang; Yi Cen; Ruoxi Song; Wenchao Qi; Changping Huang (IEEE Trans. Geosci. Remote. Sens., 2024)

Method for early diagnosis of verticillium wilt in cotton based on chlorophyll fluorescence and hyperspectral technology. - Mi Yang; Xiaoyan Kang; Xiaofeng Qiu; Lulu Ma; Hong Ren; Changping Huang; Ze Zhang; Xin Lv (Comput. Electron. Agric., 2024)