Remote Sensing-Based Estimation on Hydrological Response to Land Use and Cover Change

被引:4
|
作者
Ding, Ying [1 ]
Feng, Huihui [1 ]
Zou, Bin [1 ]
机构
[1] Cent South Univ, Sch Geosci & Infophys, Changsha 410083, Peoples R China
来源
FORESTS | 2022年 / 13卷 / 11期
基金
中国国家自然科学基金;
关键词
land use and cover change; runoff; evapotranspiration; soil moisture; remote sensing; SURFACE SOIL-MOISTURE; POYANG LAKE BASIN; GLOBAL WATER-RESOURCES; CLIMATE-CHANGE; AIR-TEMPERATURE; LOESS PLATEAU; IMPACTS; EVAPOTRANSPIRATION; PRECIPITATION; VEGETATION;
D O I
10.3390/f13111749
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Hydrological processes are an important driving force of environmental pollutant variation that has aroused global concern. Land use and cover change (LUCC) strongly affects hydrological processes. Remote sensing technology has played an increasingly important role in studying the relationship between LUCC and hydrological processes. This study summarizes the progress of hydrological responses to LUCC. Overall, remote sensing can provide spatially continuous data of land cover and hydrological variables. With the aid of the retrieved data sets, the effects of LUCC on hydrological processes can be evaluated via correlation analysis, multiple regression method, experimental watershed approach and trajectory-based approaches. However, due to the high complexity of geographical systems, it is difficult to quantitatively separate the actual components of the influence of LUCC. The heterogeneous surface properties also lead to various results at different spatial and temporal scales. Future research should meet the challenges in data estimation, research methodology and analysis process.
引用
收藏
页数:12
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