The vegetation growth status largely represents the ecosystem function and environmental quality.Hyperspectral remote sensing data can effectively eliminate the effects of surface spectral reflectance and atmospheric ...The vegetation growth status largely represents the ecosystem function and environmental quality.Hyperspectral remote sensing data can effectively eliminate the effects of surface spectral reflectance and atmospheric scattering and directly reflect the vegetation parameter information.In this study,the abandoned mining area in the Helan Mountains,China was taken as the study area.Based on hyperspectral remote sensing images of Zhuhai No.1 hyperspectral satellite,we used the pixel dichotomy model,which was constructed using the normalized difference vegetation index(NDVI),to estimate the vegetation coverage of the study area,and evaluated the vegetation growth status by five vegetation indices(NDVI,ratio vegetation index(RVI),photochemical vegetation index(PVI),red-green ratio index(RGI),and anthocyanin reflectance index 1(ARI1)).According to the results,the reclaimed vegetation growth status in the study area can be divided into four levels(unhealthy,low healthy,healthy,and very healthy).The overall vegetation growth status in the study area was generally at low healthy level,indicating that the vegetation growth status in the study area was not good due to short-time period restoration and harsh damaged environment such as high and steep rock slopes.Furthermore,the unhealthy areas were mainly located in Dawukougou where abandoned mines were concentrated,indicating that the original mining activities have had a large effect on vegetation ecology.After ecological restoration of abandoned mines,the vegetation coverage in the study area has increased to a certain extent,but the amplitude was not large.The situation of vegetation coverage in the northern part of the study area was worse than that in the southern part,due to abandoned mines mainly concentrating in the northern part of the Helan Mountains.The combination of hyperspectral remote sensing data and vegetation indices can comprehensively extract the characteristics of vegetation,accurately analyze the plant growth status,and provide technical support for vegetation health evaluation.展开更多
基金This research was supported by the Ningxia Hui Autonomous Region Key Research and Development Plan(2022BEG03052).
文摘The vegetation growth status largely represents the ecosystem function and environmental quality.Hyperspectral remote sensing data can effectively eliminate the effects of surface spectral reflectance and atmospheric scattering and directly reflect the vegetation parameter information.In this study,the abandoned mining area in the Helan Mountains,China was taken as the study area.Based on hyperspectral remote sensing images of Zhuhai No.1 hyperspectral satellite,we used the pixel dichotomy model,which was constructed using the normalized difference vegetation index(NDVI),to estimate the vegetation coverage of the study area,and evaluated the vegetation growth status by five vegetation indices(NDVI,ratio vegetation index(RVI),photochemical vegetation index(PVI),red-green ratio index(RGI),and anthocyanin reflectance index 1(ARI1)).According to the results,the reclaimed vegetation growth status in the study area can be divided into four levels(unhealthy,low healthy,healthy,and very healthy).The overall vegetation growth status in the study area was generally at low healthy level,indicating that the vegetation growth status in the study area was not good due to short-time period restoration and harsh damaged environment such as high and steep rock slopes.Furthermore,the unhealthy areas were mainly located in Dawukougou where abandoned mines were concentrated,indicating that the original mining activities have had a large effect on vegetation ecology.After ecological restoration of abandoned mines,the vegetation coverage in the study area has increased to a certain extent,but the amplitude was not large.The situation of vegetation coverage in the northern part of the study area was worse than that in the southern part,due to abandoned mines mainly concentrating in the northern part of the Helan Mountains.The combination of hyperspectral remote sensing data and vegetation indices can comprehensively extract the characteristics of vegetation,accurately analyze the plant growth status,and provide technical support for vegetation health evaluation.
文摘目的:探讨注射用鼠神经生长因子联合奥拉西坦治疗高血压脑出血(hypertensive cerebral hemorrhage,HCH)的临床效果。方法:选取2017年10月至2019年1月朝阳市第二医院收治的HCH患者92例,采用简单随机数字表法将其分为观察组(n=46)和对照组(n=46)。对照组患者给予奥拉西坦治疗,观察组患者在此基础上加用注射用鼠神经生长因子辅助治疗,两组患者均治疗21 d。治疗结束后,对两组患者的临床疗效进行评估;并于治疗前后测评两组患者神经功能缺损程度及日常生活活动能力,检测血清脑损伤生物标志物、炎症因子及氧化应激指标水平;同时观察两组患者用药期间不良反应发生情况。结果:观察组患者的总有效率为93.48%(43/46),与对照组的76.09%(35/46)相比明显升高,差异有统计学意义(P<0.05)。两组患者治疗后美国国立卫生院卒中神经功能缺损评分量表(national institutes of health stroke scale,NIHSS)评分均较治疗前明显降低,Barthel指数(BI)评分明显升高;治疗后,观察组患者NIHSS评分较对照组同期明显更低,而BI评分明显更高,差异均有统计学意义(P<0.05)。两组患者治疗后血清脑损伤标志物(神经元特异性烯醇化酶、S100β蛋白)及相关炎症因子(白细胞介素8、肿瘤坏死因子α及超敏C反应蛋白)水平均较治疗前明显降低(P<0.05),而观察组患者降低更显著,差异均有统计学意义(P<0.05)。两组患者治疗后血清超氧化物歧化酶(SOD)水平均较治疗前明显升高,血清丙二醛(MDA)、脂质过氧化物(LPO)含量明显降低;且治疗后,观察组患者血清SOD水平明显高于对照组同期,血清MDA、LPO含量则明显更低,差异均有统计学意义(P<0.05)。观察组患者不良反应发生率为15.22%(7/46),与对照组的17.39%(8/46)比较,差异无统计学意义(P>0.05)。结论:注射用鼠神经生长因子联合奥拉西坦治疗HCH可能通过下调患者相关炎症因子表达水平、纠正机体氧化应激的途径来保护脑组织,促进受损神经功能的恢复,整体疗效显著,且患者耐受性较好。
