Global projections of future urban land expansion under shared socioeconomic pathways G Chen, X Li, X Liu, Y Chen, X Liang, J Leng, X Xu, W Liao, Y Qiu, Q Wu, ... Nature communications 11 (1), 537, 2020 | 574 | 2020 |
Fugitive Road Dust PM2.5 Emissions and Their Potential Health Impacts S Chen, X Zhang, J Lin, J Huang, D Zhao, T Yuan, K Huang, Y Luo, Z Jia, ... Environmental Science & Technology 53 (14), 8455-8465, 2019 | 117 | 2019 |
Sensitivity of six typical spatiotemporal fusion methods to different influential factors: A comparative study for a normalized difference vegetation index time series … J Zhou, J Chen, X Chen, X Zhu, Y Qiu, H Song, Y Rao, C Zhang, X Cao, ... Remote Sensing of Environment 252, 112130, 2021 | 96 | 2021 |
Spatiotemporal fusion method to simultaneously generate full-length normalized difference vegetation index time series (SSFIT) Y Qiu, J Zhou, J Chen, X Chen International Journal of Applied Earth Observation and Geoinformation 100 …, 2021 | 36 | 2021 |
Stacked spectral feature space patch: An advanced spectral representation for precise crop classification based on convolutional neural network H Chen, D Yin, J Chen, X Chen, S Liu, L Liu The Crop Journal 10 (5), 1460-1469, 2022 | 17 | 2022 |
The FIRST model: Spatiotemporal fusion incorrporting spectral autocorrelation S Liu, J Zhou, Y Qiu, J Chen, X Zhu, H Chen Remote Sensing of Environment 279, 113111, 2022 | 14 | 2022 |
A geometric misregistration resistant data fusion approach for adding red-edge (RE) and short-wave infrared (SWIR) bands to high spatial resolution imagery J Zhou, Y Qiu, J Chen, X Chen Science of Remote Sensing 4, 100033, 2021 | 10 | 2021 |
Mapping rapeseed in China during 2017-2021 using Sentinel data: an automated approach integrating rule-based sample generation and a one-class classifier (RSG-OC) Y Zang, Y Qiu, X Chen, J Chen, W Yang, Y Liu, L Peng, M Shen, X Cao GIScience & Remote Sensing 60 (1), 2163576, 2023 | 9 | 2023 |
Agri-Fuse: A novel spatiotemporal fusion method designed for agricultural scenarios with diverse phenological changes Z Gu, J Chen, Y Chen, Y Qiu, X Zhu, X Chen Remote Sensing of Environment 299, 113874, 2023 | 3 | 2023 |
Effectiveness of Spatiotemporal Data Fusion in Fine-Scale Land Surface Phenology Monitoring: A Simulation Study J Tian, X Zhu, M Shen, J Chen, R Cao, Y Qiu, YN Xu Journal of Remote Sensing 4, 0118, 2024 | 1 | 2024 |
Reconstruction of seamless harmonized Landsat Sentinel-2 (HLS) time series via self-supervised learning H Liu, HK Zhang, B Huang, L Yan, KK Tran, Y Qiu, X Zhang, DP Roy Remote Sensing of Environment 308, 114191, 2024 | | 2024 |
Incorporating environmental variables into spatiotemporal fusion model to reconstruct high-quality vegetation index data X Li, Q Peng, Y Zheng, S Lin, B He, Y Qiu, J Chen, Y Chen, W Yuan IEEE Transactions on Geoscience and Remote Sensing, 2024 | | 2024 |
Potential and Constraints of Commercial High Spatial and Temporal Resolution BlackSky Imagery for Land Science Applications–a Multi-sensor Comparison MS Cho, D Roy, H Huang, Y Qiu, H De Lemos AGU23, 2023 | | 2023 |
Self-supervised learning experiments to detect forest cover loss using Landsat time series Y Qiu, DP Roy, HK Zhang, H Huang, H Liu AGU23, 2023 | | 2023 |
Long-term water temperature changes in Seneca Lake and their nexus to climate change and human activities X Lan, L Luo, Z Xu, Y Qiu, X Yu Environmental Research Communications 5 (11), 111003, 2023 | | 2023 |