Study On The Application Of SPOT-5 Data In The Monitoring Of The Project Of Returning Farmland To Forests

The monitoring of the project of RFTF (returning farmland to forests) has a very important significance to ensure the project's healthy development. At present, the monitoring of the project is mainly carried out by manual method. This method has great workload and needs a great deal of manpower, material resources and financial resources, and is inefficient. The using of the remote sensing technology in the monitoring of the RFTF project is economical, objective and efficient. It can complete the work that can't be completed by traditional method.In this study, SPOT-5 images were used to monitor the project of RFTF in Gujiao county, Shanxi province. There are two schemes adopted in the classification of images of the study area with three different spatial resolution of 10m, 5m and 2.5m. In the first one, seven landuse types were adopted and the land of RFTF was regarded as one of them. The automatic classification method was used in the three images respectively and visual interpretation was used for the 2.5m image. In the second one the image of the area of RFTF was extracted from the image of the study area by virtue of the plan of RFTF. Then, two classification types are adopted, they were, RFTF land and non-RFTF land, and supervised classification was used. At last, we find that the first scheme has a low classification accuracy through analyzing the result of the classification, while the second scheme has a high classification accuracy of over 90% for all images. In conclusion, SPOT-5 image can monitor the finishing state of the project of RFTF by virtue of the plan of RFTF. It has a good practicability in the monitoring of the project of RFTF.