Bostenlake Wetlands Water Level Automatic Retrieval and Trends Analysis Based on ICESatGLAS Global Laser Point Data. - Changming Zhu; Jiancheng Luo; Junli Li; Zhanfeng Shen; Qiting Huang (IScIDE, 2011)

Geo-Parcel Based Crop Identification by Integrating High Spatial-Temporal Resolution Imagery from Multi-Source Satellite Data. - Yingpin Yang; Qiting Huang; Wei Wu 029; Jiancheng Luo; Lijing Gao; Wen Dong 003; Tianjun Wu; Xiaodong Hu 002 (Remote. Sens., 2017)

Improved sugarcane LAI estimation using radiative transfer models with spatial constraint. - Yingpin Yang; Qiting Huang; Jiancheng Luo; Wei Wu 029; Yingwei Sun (Agro-Geoinformatics, 2019)

Geo-parcel-based geographical thematic mapping using C5.0 decision tree: a case study of evaluating sugarcane planting suitability. - Tianjun Wu; Wen Dong 003; Jiancheng Luo; Yingwei Sun; Qiting Huang; Weizhi Wu 001; Xiaodong Hu 002 (Earth Sci. Informatics, 2019)

Weighted Double-Logistic Function Fitting Method for Reconstructing the High-Quality Sentinel-2 NDVI Time Series Data Set. - Yingpin Yang; Jiancheng Luo; Qiting Huang; Wei Wu 029; Yingwei Sun (Remote. Sens., 2019)

Mapping crop leaf area index at the parcel level via inverting a radiative transfer model under spatiotemporal constraints: A case study on sugarcane. - Yingpin Yang; Qiting Huang; Zhifeng Wu; Tianjun Wu; Jiancheng Luo; Wen Dong 003; Yingwei Sun; Xin Zhang 031; Dongyun Zhang (Comput. Electron. Agric., 2022)

Abandoned Land Mapping Based on Spatiotemporal Features from PolSAR Data via Deep Learning Methods. - Yingpin Yang; Zhifeng Wu; Wenju Xiao; Ya'nan Zhou; Qiting Huang; Tianjun Wu; Jiancheng Luo; Haiyun Wang (Remote. Sens., 2023)

A refined edge-aware convolutional neural networks for agricultural parcel delineation. - Rui Lu; Yingfan Zhang; Qiting Huang; Penghao Zeng; Zhou Shi; Su Ye (Int. J. Appl. Earth Obs. Geoinformation, 2024)