Multi-source satellite remote sensing technology can be used to monitor the distribution and growth status of aquatic plant species on a large scale.In this paper,C,aoyou Lake was selected as the research area.Aquatic medicine material Euryaleferox Salisb was used as the research object.The spectral characteristics of plants in Euryaleferox Salisb growing area were analyzed by ASD portable spectrometer and the remote sensing image of Pléiades and GF-1.The spectral range of species was obtained.And the decision tree algorithm model was constructed,which were used to extract the information of Euryale ferox Salisb from remote sensing images.Through verification,the results showed that the accuracy of comprehensive classification was 83％.It was concluded that multi-source satellite remote sensing image and GIS spatial analysis technology can accurately reflect the area and distribution of aquatic medicine material Euryale ferox Salisb.

Objective:To investigate the correlation between lumbar degenerative disease and bone mineral density in postmenopausal women.Methods:A total of 97 patients with postmenopausal lumbar degenerative degeneration who were admitted to our hospital from Jan. 2019 to Mar. 2022 were selected for study, and the average bone mineral density of L1-L4 vertebral bodies was measured by lumbar dual-energy X-ray absorptiometry (DXA) . BMD T values divided them into normal bone mass (group A, n = 28) , low bone mass (group B, n = 30) and osteoporosis group (group C, n = 39) . All patients underwent lumbar spine MRI, and the degree of lumbar intervertebral disc degeneration (L1/2, L2/3, L3/4, L4/5, L5/S1) was evaluated by the Pfirrmann grading system, and the relationship between lumbar spine degeneration and bone loss was analyzed. density relationship.Results:In this study, the incidence of osteoporosis in postmenopausal women was 40.21%. The ages of group A, group B and group C were (66.08±4.05 vs 56.78±3.97 vs 52.34±3.17) years, respectively. Menopause time was (14.05± 2.08 vs 8.04±2.04 vs 4.06±1.02) years, respectively. BMI was (22.02±1.68 vs 24.05±1.52 vs 26.47±1.67) kg/m2, respectively. The menopause time and age of group C were significantly longer than those of group A and B (P<0.05) , the BMI of group C and B was significantly lower than that of group A, and the BMI of group C was significantly lower than that of group B, with statistical significance (P < 0.05, Table 1) . Group A, group B and group C lumbar intervertebral disc degeneration score: L1/2: (1.80±0.47) points, (2.25±0.48) points, (2.62±0.58) points, L2/3: (1.97±0.44 vs 2.49±0.51 vs 2.97±0.47) points, L3/4: (2.61±0.22 vs 2.97±0.34 vs 3.96±0.25) points, L4/5: (3.45±0.32 vs 3.78±0.34 vs 3.88±0.24) points, L1/S1: (3.52±0.46 vs 3.77±0.52 vs 3.97±0.47) points, L5/S1: (2.64±0.43 vs 3.05±0.52 vs 3.34±0.74) points, the mean values of L1/2, L2/3, L3/4, L1-S1 and disc degeneration scores in groups C and B were higher than those in group A ( P<0.05) , and the scores in group C were higher than those in group B ( P<0.05) . L4/5 and L5/S1 disc degeneration scores in group C were higher than those in group A ( P<0.05) , there was no statistical significance between group C and group B ( P>0.05) , there was no statistical significance between group B and group A ( P>0.05) , and there was statistical significance between group B and group A in L4/5 lumbar disc degeneration scores ( P=0.018) . The L5-S1 lumbar disc degeneration score was significantly different among the three groups ( P=0.012) . BMD was positively correlated with BMI, and negatively correlated with menopause time, age, L1/2, L2/3, L3/4, L4/5, L5/S1 and L1-S1 intervertebral disc degeneration degree. Conclusion:In postmenopausal women, BMD was negatively correlated with menopause time, age, and degree of lumbar intervertebral disc degeneration, and was positively correlated with BMI. The lower the BMD, the more severe the lumbar degenerative disease.