Dynamic Monitoring Method of Natural Resources in Libo Scenic Spot Based on Remote Sensing Technology

Authors:Li Maolin


Libo scenic spot is rich in natural resources. In order to study it, a dynamic monitoring method of Libo scenic spot natural resources based on remote sensing technology is proposed. The remote sensing image of Libo scenic spot obtained by MODIS is preprocessed by TM image processing, atmospheric correction and other technologies to obtain high-precision remote sensing image. On this basis, the multi-scale segmentation method is used to segment the remote sensing image to obtain the small spot layer, and then the hierarchical supervised classification method is used to extract the natural resource change spots. According to the spot classification results, the model based on the least square estimation method is used to analyze the resource change and independent variables, so as to realize the dynamic monitoring of natural resources in Libo scenic area. It can be seen from the experiment that the dynamic changes of forest resources and water resources in Libo scenic spot can be accurately monitored by using this method, and the accuracy of monitoring results is high. The area of positive and reverse changes of forest resources is 5205.186 hm2 and 546.524 hm2, respectively, and the area of unchanged area is 42159.603 hm2. The water resources in the scenic spot are less in winter and spring, in June to August, water volume rose and water resources were abundant.

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Benacchio, V., H. Piégay and B.T. Buffin. 2016. A new methodology for monitoring wood fluxes in rivers using a ground camera: potential and limits. Geomorphology, 27 (9): 44-58.

Cai, Y., C.Q. Ke and Z. Duan. 2017. Monitoring ice variations in Qinghai Lake from 1979 to 2016 using passive microwave remote sensing data. Science of the Total Environment, 607 (80): 120-131.

Chen, Y.F. 2017. Exploration of surface water resources based on remote sensing technology. Automation & Instrumentation, 11 (09): 7-8.

Fabian, L., W. François and A. Latchininsky. 2016. Timely monitoring of Asian Migratory locust habitats in the Amudarya delta Uzbekistan using time series of satellite remote sensing vegetation index. Journal of Environmental Management, 183 (3): 562-575.

Li, X. 2016. Design of power grid monitoring system based on ethernet. Chinese Journal of Power Sources, 40 (07): 1498-1500.

Li, X., L. Yu and Y. Xu. 2016. Ten years after Hurricane Katrina: monitoring recovery in New Orleans and the surrounding areas using remote sensing. Science Bulletin, 61 (18): 1460-1470.

Liang, Z.J., W.C. He and T.X. Han. 2016. Research on computing resource scale estimating method for intensive meteorological resource pool. Journal of China Academy of Electronics and Information Technology, 11 (04): 429-436.

Mcroberts, R.E., N. Erik and T. Gobakken. 2018. Assessing components of the model-based mean square error estimator for remote sensing assisted forest applications. Canadian Journal of Forest Research, 48 (4): 1-8.

Pahlevan, N., B. Smith and C. Binding. 2017. Spectral band adjustments for remote sensing reflectance spectra in coastal / inland waters. Optics Express, 25 (23): 28650-28667.

Reiche, J., E. Hamunyela and J. Verbesselt. 2018. Improving near-real time deforestation monitoring in tropical dry forests by combining dense Sentinel-1 time series with Landsat and ALOS-2 PALSAR-2. Remote Sensing of Environment, 20 (40): 147-161.

Shibo, L., Z. Shuying and Z. Lijuan. 2017. Estimation of land surface temperature from modis in northeast China. Geographical Research, 36 (11): 2251-2260.

Stepenuck, K.F. and K.D. Genskow. 2017. Characterizing the breadth and depth of volunteer water monitoring programs in the united states. Environmental Management, 61 (3): 1-12.

Sun, H.Y. 2016. Based on multiple features fusion method of remote sensing image feature extraction. Computer Simulation, 33 (10): 334-337.

Wei, X.H., X.F. Liu and H.L. Li. 2016. Operation sharing optimization algorithm based on location aware in dsps. Journal of Jilin University (Science Edition), 54 (5): 1047-1054.

Yang, B., H.Q. Zhao and G. Zeng. 2016. Dc capacitors voltage balancing strategy for cascaded statcom. Journal of Power Supply, 14 (5): 128-136.


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