It gets a good result, that the multi-temporal Radarsat data are applied to paddy Field Classification in Zhaoqing area, Guangdong province, China. The discrimination of paddy field can reach a high accuracy, and the rotation process in paddy field can also be inferred easily. This paper demonstrate the latest development in this experimental research. Emphasis has been placed on the potential of neural network classifier's application to SARimage processing and the optimum Radarsat data selection for paddy monitoring in the southern China.
Using multi-temporal NOAA-AVHRRdata, combine with historical data, this paper deals with how to use NDVIto monitor and forecast pest which mainly caused by pine caterpillar moth (Dendrolimus punctatus walker). First, geometric correction and registration for the images were made; Second, through extracting image data and rejecting cloud contamination pixels in monitor regions, all monitor regions were separated into different districts according to the features of geography and climate, then every district was separated into pest injury and non-injury areas; At last, NDVIvalues of every pixels were computed, the statistic values about two areas were computed and time-series curves of NDVIstatistics about two areas were compared. It was discovered that time-series curves of NDVIaverage value can be used to monitor forest pest happening, time-series curves of NDVIvariation coefficient can be used to forecast. In the end, the paper provids the prospect of using NOAA-AVHRRimages to monitor and forecast forest pest injury.
The polluted vegetable status from acid precipitation pollution in Chongqing city were fully monitor studied by Remote sensing. The correlation among biological monitor, traditional monitor and remote sensing monitor were found. By surveying of remote sensing of aerial coluor-infrared, vegetable types were classed and delineated according to its polluted degress. At last, the area of its distribution were calculated.
Based on the theory of uranium deposit of sandstone type, the methods of IHStransformation and band ration were used in order to extract the information, such as uranium source, alimentation-runoff-discharge system as well as alteration from the Landsat TM, JERS-1 SARand airborne radioactive data which is related to the formation of uranium deposit. At last, the author evaluates the metallogenetic prospective and forecasts a potential area of interest.
Based on using remote sensing technique to study in detail geological hazard dominated by the mud-rock flow in the mountains area of Hebei Province, the method of multi-factor comprehensive judgment is used for the development degree divisions of geological hazard in this paper. In the meantime, some important geological hazard areas to be monitored and controlled are delimited. This result provides a scientific basis for the surveillance and control of geological hazard in order to reduce the damage caused by disaster and provide disaster relief etc., this result has great practical value.
In the vegetation area, to extract mineralization information from remote sensing data is still great difficult at present. This paper, based on the theory of remote sensing biogeochemistry, introduces how to extract the abnormal information of structure, alteration and vegetation from multi-source remote sensing data. The gold prospective areas were successfully selected, and its reliability was tested and verified by field work. This provides a new way for solving the similar problem.
There are hundreds of basins which still stand at their beginnings of petroleum exploration in China, so methodology research of early stage basin evaluation is of momentous current significance. The paper discusses systematically the integrated research method of basin boundary, which is very important in the early stage evaluation of basin. To delimit basin boundary, it points out that there are three mainsteps: ① Analysis of basin structure style; ② Processing and interpretation of geophysical data; ③ Integrated basin boundary delimitation by remote sensing technique combined with geophysical data. In the research of basin boundary, remote sensing should be taken as the main means and data integration should be taken as the main thought. Mainly based on remotely sensed and gravity data, the delimitation of the boundary of Baise Basin, China, is given as an example in the paper.