CLIMATE CHANGES AND LANDSCAPE RESPONSES OF CHINA DURING THE PAST 40 YEARS (1979–2018) UNDER KÖPPEN-GEIGER CLIMATE CLASSIFICATION

12 citations as recorded by crossref.

1. The First Validation of Sentinel-3 OLCI Integrated Water Vapor Products Using Reference GPS Data in Mainland China J. Xu & Z. Liu https://doi.org/10.1109/TGRS.2021.3099168
2. Effects of dryland-to-paddy conversion on soil degradation and N and P limits in a typical black soil region of the Sanjiang Plain: a C:N:P stoichiometry perspective B. Bo et al. https://doi.org/10.1007/s11368-026-04256-2
3. Predicting global potential distribution of Peromyscopsylla hesperomys and Orchopeas sexdentatus and risk assessment for invading China under climate change H. Li et al. https://doi.org/10.3389/fpubh.2022.1018327
4. Projected Reorganization of Euro-Mediterranean Bioclimates under Climate Change: Evidence from CMIP6 Multi-model Ensemble G. Ferreiro-Lera et al. https://doi.org/10.1007/s41748-026-01145-z
5. Different responses of Japanese encephalitis to weather variables among eight climate subtypes in Gansu, China, 2005–2019 R. Li et al. https://doi.org/10.1186/s12879-023-08074-6
6. A New Machine-Learning-Based Calibration Scheme for MODIS Thermal Infrared Water Vapor Product Using BPNN, GBDT, GRNN, KNN, MLPNN, RF, and XGBoost J. Xu et al. https://doi.org/10.1109/TGRS.2024.3356578
7. Observed and projected geographical and temporal changes in the Köppen-Geiger climate types in Türkiye M. Türkeş & N. Yurtseven https://doi.org/10.1007/s00704-024-05346-2
8. A Linear Regression of Differential PWV Calibration Model to Improve the Accuracy of MODIS NIR All-Weather PWV Products Based on Ground-Based GPS PWV Data J. Xu & Z. Liu https://doi.org/10.1109/JSTARS.2022.3204823
9. Enhanced all-weather precipitable water vapor retrieval from MODIS near-infrared bands using machine learning J. Xu & Z. Liu https://doi.org/10.1016/j.jag.2022.103050
10. Navigating extreme heat: how information sources, heat-related health history, and risk perception drive adaptive behavior H. Zhang et al. https://doi.org/10.1007/s10668-026-07627-4
11. Evaluating the energy-saving potential of earth-air heat exchanger (EAHX) for Passivhaus standard buildings in different climates in China J. Li et al. https://doi.org/10.1016/j.enbuild.2023.113005
12. Simulation-based sensitivity analysis of energy performance applied to an old Beijing residential neighbourhood for retrofit strategy optimisation with climate change prediction Y. Deng et al. https://doi.org/10.1016/j.enbuild.2023.113284