Abstract: Hulun Lake plays an important role in the eco-environment protection and economic development in Northeast China. Dissolved oxygen (DO) is one of the important indicators of water quality. By using the measured DO data from 32 sampling sites and the multi-source remote sensing data (including ground hyperspectral data and multispectral remote sensing images), and based on the spectral characteristic analysis and correlation analysis, the sensitive bands of the DO in the Hulun Lake were extracted, the inversion model of the DO was established, and the spatial distribution of the DO concentration was analyzed. Through validation, though the simulated results had some errors, the established model was able to reflect the spatial characteristics of DO concentration in the Lake. It can provide a fast, economic and effective tool for the real-time monitoring of the DO concentration in Hulun Lake.

Key words: urbanization, farmland landscape, non-cropped habitats, soil animals, cooperative relation, Shenbei New District.