Area mapping for water and forest based on satellite hyper-spectral remote sensing

The emergence and development of hyper-spectral satellites provide a new technical means for remote sensing and mapping. Compared with the traditional satellite images, the hyper-spectral satellite images contain the richer spectral information, which can carry out more accurate identification, classification, positioning and mapping of target objects. Taking the hyper-spectral satellite images provided by the Zhuhai No. 1 hyper-spectral satellite (OHS-C) as the sample, the accurate identification, enhanced marking and area measurement of forest and water were realized by combing ground clutter reflection spectrum with adaptive algorithm. The ratio method was used to process the spectrum, and the influence of atmospheric conditions and time as well as season on the spectrum can be removed without the complex calibration. The experimental results show that the specificity and sensitivity of identification of forest and water is higher than 97%, respectively. Based on the proposed identification model, the calculated total area of the official waters of Xili Reservoir is about 4.6 km², and the error with the official data is only about 0.144 6 km². The green area of Qi'ao Island is calculated to be 22.171 3 km², and the total area of the island is 23.8 km². According to the calculation of 90% of the green area, the error is less than 0.751 3 km², and the error mainly comes from the insufficient spatial resolution of commercial satellites.