Applications of Remote-Sensing Techniques in Peat Resource Investigations in Zoig■

The paper presents an example of the application of remote-sensing techniques in peat resource investiga-tions. The study was carried out in the Zoige region. The optimal imagery time (during October) and theoptimal band (MSS_7) of Landsat data were selected. The preferred images were processed optically and bycomputer and interpreted in a comprehensive way. And in-situ spectrum measurements and drilling verificationwere carried out.The identification signature of the peat bogs in Zoige was defined. The feature of the identifi-cation signature for peat was that the peat bog area showed a dark tone with lower reflectance in images of thefour MSS bands. The distribution range of peat bogs in the region was exactly located. The types of peat bogswere distinguished. The total peat area of 4038 km~(2) was defined with a total reserve of 5 billion m~3. The resultof the study indicates that the large-area, small-scale investigation of peat resources by use of satelliteremote-sensing data is an advanced method. by which the work efficiency can increase by about 20 times.

Applications of Remote-Sensing Techniques in Peat Resource Investigations in Zoigê

Abstract The paper presents an example of the application of remote-sensing techniques in peat resource investigations. The study was carried out in the Zoigê region. The optimal imagery time ( during October) and the optimal band (MSS7) of Landsat data were selected. The preferred images were processed optically and by computer and interpreted in a comprehensive way. And in-situ spectrum measurements and drilling verification were carried out. The identification signature of the peat bogs in Zoigê was defined. The feature of the identification signature for peat was that the peat bog area showed a dark tone with lower reflectance in images of the four MSS bands. The distribution range of peat bogs in the region was exactly located. The types of peat bogs were distinguished. The total peat area of 4038 km² was defined with a total reserve of 5 billion m³. The result of the study indicates that the large-area, small-scale investigation of peat resources by use of satellite remote-sensing data is an advanced method, by which the work efficiency can increase by about 20 times.