A New Framework for the Reconstruction of Daily 1 km Land Surface Temperatures from 2000 to 2022. - Yuanjun Xiao; Shengcheng Li; Jingfeng Huang; Ran Huang; Chang Zhou 004 (Remote. Sens., 2023)

Class imbalance: A crucial factor affecting the performance of tea plantations mapping by machine learning. - Yuanjun Xiao; Jingfeng Huang; Wei Weng 005; Ran Huang; Qi Shao; Chang Zhou 004; Shengcheng Li (Int. J. Appl. Earth Obs. Geoinformation, 2024)

The illusion of success: Test set disproportion causes inflated accuracy in remote sensing mapping research. - Yuanjun Xiao; Zhen Zhao; Jingfeng Huang; Ran Huang; Wei Weng 005; Gerui Liang; Chang Zhou 004; Qi Shao; Qiyu Tian (Int. J. Appl. Earth Obs. Geoinformation, 2024)

A novel approach: Coupling prior knowledge and deep learning methods for large-scale plastic greenhouse extraction using Sentinel-1/2 data. - Chang Zhou 004; Jingfeng Huang; Yuanjun Xiao; Meiqi Du; Shengcheng Li (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Cross-sensor data reconstruction for optical remote sensing gap-filling with attention-enhanced multi-scale fusion network. - Xi Wang; Songchao Chen; Chang Zhou 004; Si-Bo Duan; Zhou Shi (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Tracking Intra-annual plasticulture covering cycles using dense Sentinel-2 time-series. - Chang Zhou 004; Mengya Zhao; Nuo Chen; Yizuo Du; Yuyang Huang; Chen Zhang; Xi Wang; Yuanjun Xiao; Su Ye; Jingfeng Huang; Zhou Shi (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Selecting of global phenological field observations for validating coarse AVHRR-derived forest phenology products based on spatial heterogeneity and temporal consistency. - Qi Shao; Chao Huang; Yuanjun Xiao; Li Liu 059; Weiwei Liu 009; Ran Huang; Chang Zhou 004; Wei Weng 005; Jingfeng Huang (Ecol. Informatics, 2025)