This paper was to address an issues of human settlement and environmental interaction on the archaeological Ancient
Canal sites in Zhejiang province using Hyperspectral Remote Sensing technology. The reflectance spectra within the
visible-near-infrared (VNIR) region of Ancient Canal ground soil samples were measured in the lab. High-resolution
satellite remote sensing provides cheap and quick data resources for delineating the Ancient Canal. In this paper, the
remote sensing mechanism and spectral characteristics of the Ancient Canal in remote sensing imagery were analyzed. A
gray-slope algorithm is introduced, which can extract Ancient Canal information effectively and easily. Due to the
extensive destroy to the Ancient Canal, it is only 1 or 2 pixels wide in IKONOS imagery. And the gray level between
Ancient Canal and other objects around it is very different, that is, the change of gray level along Ancient Canal is
greater than that of road and sand.
Our study results showed that the feature absorption band center of Ancient Canal around 2288nm, and the
bandwidth was between 2098-2335nm. The absorption features of background soils were at 2180nm and 2350nm, which
were caused by clay minerals and carbonate, respectively. The Ancient Canal could be distinguished from the
background soils by reflectance spectra. These two characteristics and bands threshold, the gray-slope method makes
road and sand separated from the Ancient Canal easily.