Environmental Quality Background Reconstruction and Its Change Simulation Using Multi-Source Remote Sensing Data
利用多源遥感数据反演环境因子，重建并预测洞庭湖区环境质量背景，发现2001-2007年质量退化，预测未来14年继续下降18.5%，主要受水汽、土地利用强度等驱动。
The environmental factors were calculated with an inversion algorithm of multi-source remote sensing data. The envriomental quality background was reconstructed and predicted with a digital environmental model and grey multiple regression model in Dongting Lake area. The results showed a degenerative tendency in the lake area from the quality changes between 2001 and 2007, primarily in the suburbs and wetlands. Atmospheric water vapour, land use intensity, surface temperature, vegetation coverage, and soil water content were the main driving factors. The prediction showed the environmental quality degraded 18.5% in next 14 years(2008—2021). Environment changes were not exactly the single factor driving or interference of multi-factor combinations, but the environmental agglomeration effect including positive and negative side, respectively mean increase and decrease of environmental quality. Paying more attention to the positive agglomeration effect to the environment(increase rainfall and vegetation coverage, reduce the land use intensity, etc) will improve the environment quality.