Mapping of Interception Loss of Vegetation in the Heihe River Basin of China Using Remote Sensing Observations

• Published in: IEEE geoscience and remote sensing letters Vol. 12; no. 1; pp. 23 - 27
• Main Authors: Cui, Yaokui, Jia, Li, Hu, Guangcheng, Zhou, Jie
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2015; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Agriculture; Heihe River Basin; Indexes; interception loss; Mathematical model; Remote sensing; River basins; Rivers; RS-Gash model; Vegetation; Vegetation mapping; remote sensing; RS-Gash model; Heihe River Basin; interception loss
• ISSN: 1545-598X; 1558-0571
• DOI: 10.1109/LGRS.2014.2324635

Interception loss is an important component of the regional water balance for the Heihe River Basin which is an inland basin with limited precipitation. We used a modified Gash analytical model by combining remote sensing observations to estimate the interception loss of several vegetation types, e.g., grass, crop, forest and shrub for the years 2003-2012 in the Heihe River Basin. The estimated monthly interception ratio (in percent) was compared with field measurements made in Dayekou and Pailugou forest hydrology experimental sites and the results showed reasonable accuracy with RMSE of 5.0% and 4.3% at the two sites, respectively. The regional distribution of the interception loss showed strong spatial and temporal variability at monthly scale. At annual scale, the interception ratio could be treated as a stable indicator for long-term water balance research. The annual average interception loss is about 7.2% of gross rainfall for the vegetation covered area in the Heihe River Basin.