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41.
为探究植被指数时序特征是否有利于落叶松人工林提取,以孟家岗林场为研究试验区域,根据落叶松人工林季相和物候特征,利用Landsat8OLI影像数据提取研究区内5种植被的归一化植被指数(I NDV)、差值植被指数(I DV)、比值植被指数(I RV)、增强型植被指数(I EV),构建相应的植被指数时序特征。采用最大似然和随机森林两种方法对单一时相影像和加入植被指数时序特征的影像进行对比试验。结果表明:影像中加入植被指数时序特征后,最大似然算法的分类总体精度为89.53%,Kappa系数为0.87,比单一时序特征的影像分类精度提高了13.35%;随机森林算法的森林类型分类总体精度为93.22%,Kappa系数为0.92,比单一时序特征的影像分类精度提高了19.8%。因此,加入植被指数时序特征后能得到更高的落叶松人工林提取精度。 相似文献
42.
1992—2015年呼伦贝尔草原区不同草地类型分布时空变化遥感分析 总被引:1,自引:1,他引:0
【背景】 呼伦贝尔草原作为我国温性草原的重要组成部分,其独特的地理位置、典型的生态及气候特点、代表性的生产方式决定其在草原畜牧业生产中的重要地位,同时也是我国北方的绿色生态屏障,发挥着生态缓冲区功能。草地作为重要的陆地生态系统之一,在农牧业生产、生态及环境保护、气候变化等方面具有重要的意义。【目的】 明确不同草地类型的空间分布及变化规律,为草地研究及管理提供依据。【方法】 以呼伦贝尔草原区不同草地及地物类型为研究对象,以1992年、2015年遥感影像为数据源,采用支持向量机、面对对象分类法获得研究区地物类型空间分布数据,以地统计方法分析时空变化特征,结合植物-生境学分类法划分地带性草地类型潜在分布、社会统计数据、地物类型转化过程分析气候变化、人类活动对草地类型分布的影响。【结果】 研究区耕地、林地、沙地碱地、人工表面4种地物类型面积增加,草地、水体面积减少。草地作为研究区最大的覆盖类型,1992年、2015年分布面积为7 601 258 hm2、7 148 085 hm2,减少幅度5.96%。研究区分布典型草原、草甸草原、低地草甸、山地草甸及沼泽,前3种草地类型分布面积较大,共占研究区总面积70%以上,后2种草地类型分布面积相对较少,占2%左右。除典型草原面积增加外,其他草地类型面积减少,典型草原面积增加283 790 hm2,增加幅度7.12%;草甸草原减少面积最大,减少563 439 hm2,减小幅度28.72%。研究区水分状况相对较湿润的草地类型向相对干旱的类型转换占据主导地位,1992—2015年转移面积466 687 hm2,水分状况相对较干的草地类型向相对湿润的类型转移面积212 330 hm2。【结论】 呼伦贝尔草原区不同草地及地物类型空间分布变化较为剧烈,气候变化的影响具有趋势性、长期性、难恢复性,人类活动的影响具有破碎性、可逆性、易恢复性。 相似文献
43.
虽然滨海地区占地球陆地面积不足4%,但沿海生境是全球最有价值的自然资源之一。世界上超过三分之一的人口生活在距海岸线100 km的范围内。气候变化和人类活动使得全球海岸侵蚀和风暴潮威胁加重。海岸防护可以有效抵御海岸侵蚀、风暴风险和海平面上升。本文概述了全球主要沿海国家和地区(欧盟、美国、中国)海岸硬化情况以及海岸硬化带来的生态效应。欧洲海岸线硬化比例为10%(2006年),美国海岸的硬化比例为14%(2015年),而中国海岸线的硬化比例近60%(2014年)。海岸硬化会引起滨海湿地重要物理、化学和生物过程的改变,生境丧失和破碎化,以及生物连通性的改变。增加硬化设施的结构复杂性或由混合型海岸代替传统硬化海岸可以减轻海岸硬化对滨海湿地生态系统的威胁,但对硬质海岸和混合型海岸的生态服务功能以及抵御风暴能力的评估还比较缺乏,有待进一步研究。 相似文献
44.
宗德禄 《国际沙棘研究与开发》2006,4(3):19-21
1998年以来,吴起县共在退耕地营造沙棘林12.53万hm2,人均1hm2,吴起也成为全国沙棘种植面积最大的县。但退耕8年后,农民的生计如何解决,是一个迫切需要回答的问题。本文对“果用型”沙棘林分改造技术进行了一些探讨,提出对退耕地中条件较好的4万hm2雌株沙棘林,在保证密度、不破坏地被物、不引起水土流失的前提下,进行适度改造,以形成良好的结果冠形,增加结实量,借此增加农民的采果叶收入,提高其种植、管护、经营沙棘林的积极性,从而实现生态、经济“双盈”的目标。 相似文献
45.
T. A. Quine A. Navas D. E. Walling J. Machin 《Land Degradation \u0026amp; Development》1994,5(1):41-55
The semiarid regions of Spain, including the central part of the Ebro River basin, are under threat due to desertification. Severe erosion, as a result of poor land management, has led to degradation of the soil resource, and there is a clear need for quantitative erosion rate data to evaluate the problem. This study aimed to examine the potential for using caesium-137 to identify the patterns and rates of soil erosion and redistribution within this semiarid environment. Samples for the determination of caesium-137 were collected from uncultivated slopes and cultivated valley floor sites near the head and outlet of a small representative basin in the Las Bardenas area. The measured patterns of caesium-137 mobilization, redistribution and export provide a semiquantitative indication of the variation in erosion within the study site. Calibration of the caesium-137 measurements, taking account of the differing behaviour of radiocaesium on cultivated and uncultivated land, allows estimation of the actual rates of erosion and deposition involved. The results show (1) the erosion rates on the cultivated land (1.6–2.5 kg m−2 yr−1) are typically more than five times those seen on the uncultivated land (0.2–0.4 kg m−2 yr−1), and (2) erosion on the uncultivated land is significantly less severe at the head of the basin than at the outlet. Study of the vegetation cover suggests that lower growing shrubs and grasses may be more effective in reducing erosion in this environment than trees. 相似文献
46.
Natural vegetation on erodible land surfaces, such as the loose sandy soils found in the southwestern United States and in Soviet Central Asia, absorbs part of the wind momentum flux (stress) and thus protects the erodible soil to a degree that depends on the geometry of plant distribution and profile. The sheltering effect of natural plants may be expressed as the ratio, R, of threshold friction velocity for the bare soil (determined in the laboratory or in specially prepared areas of bare soil in the field) to that for the naturally vegetated surface. We used new automated instrumentation to detect erosion thresholds in locations where erosion events are widely separated in time. Measured values of R were low for our most vegetated sites and nearer unity for the sparsely vegetated site. 相似文献
47.
A. Pérez-Sierra P. Romón-Ochoa C. Gorton A. Lewis H. Rees S. Van Der Linde J. Webber 《Plant pathology》2019,68(4):727-737
Chestnut blight, caused by Cryphonectria parasitica, was identified in Devon, UK, in December 2016. Intensive surveys detected the disease at further sites in Devon (seven), Berkshire (one), Dorset (one), Derbyshire (four) and a cluster of eight sites in southeast London. Over 570 survey samples were tested, and 227 were positive for C. parasitica by isolation and real-time PCR. A total of 227 isolates were tested for mating type, and 197 screened for vegetative compatibility group (VCG) and compared with VCGs known from mainland Europe. The same isolates were also screened for the presence of Cryphonectria hypovirus 1 (CHV-1). Eleven VCGs were identified within the UK population. Five corresponded to already known European VCGs but six were unique. The European VCGs mainly came from the Devon, Dorset, Berkshire and Derbyshire disease outbreaks, whilst unique VCGs were almost exclusively from the southeast London cluster. Both mating types were detected, but only one mating type was present at each site, with the exception of a single Devon site. Perithecia of C. parasitica were never observed at any site. CHV-1 was found in seven isolates from three different locations and was always subtype-I, which has limited hypovirulence. Therefore, although CHV-1 is associated with C. parasitica at some outbreaks, it probably has limited impact on virulence. The diversity of VCGs and their distribution at outbreak sites, together with findings of CHV-1, suggests C. parasitica has been introduced to the UK multiple times over at least two decades through international plant trade. 相似文献
48.
为对不同农用大棚类型信息进行识别分类和精细化提取,以内蒙古河套灌区不同大棚类型为研究对象,基于Sentinel-2A卫星数据,采用面向对象结合多层多尺度分割技术和阈值分类方法,对大棚类型信息进行提取并对最终提取结果展开精度评价和分析研究。首先利用尺度参数估计(Estimation of Scale Parameter2, ESP2)方法进行了分层分割并优选出最佳分割尺度,在各层最优分割尺度上进行光谱、指数、几何、纹理等特征的提取与优化,获取最优特征组合;然后运用多层多尺度分割阈值分类方法提取不同大棚类型信息。结果表明不同大棚类型信息总体精度达94.8%,kappa系数达0.93。其中:塑料大棚的制图精度和用户精度分别为95.3%和96.6%;单屋面温室大棚制图精度和用户精度分别为88.5%和92.6%。基于多层多尺度分割分类的信息提取方法分别考虑了不同地物最优分割尺度,在不同地物各自的最优分割尺度上提取其信息,以抑制过度分割或亚分割现象,从而降低错分或漏分。因此,高分辨率卫星数据与面向对象多层多尺度分割分类的信息提取方法能够有效提高大棚类型信息提取精度,且能为地物信息精细提取技术体系提供一定参考思路。 相似文献
49.
Water use of spring wheat to raise water productivity 总被引:1,自引:0,他引:1
In semi-arid environments with a shortage of water resources and a risk of overexplotation of water supplies, spring wheat (Triticum aestivum L.) is a crop that can reduce water use and increase water productivity, because it takes advantage of spring rainfall and is harvested before the evaporative demands of summer. We carried out an experiment in 2003 at “Las Tiesas” farm, located between Barrax and Albacete (Central Spain), to improve accuracy in the estimation of wheat evapotranspiration (ETc) by using a weighing lysimeter. The measured seasonal ETc averages (5.63 mm day−1) measured in the lysimeter was 417 mm compared to the calculated ETc values (5.31 mm day−1) calculated with the standard FAO methodology of 393 mm. The evapotranspiration crop coefficient (Kc) derived from lysimetric measurements was Kc-mid: 1.20 and Kc-end: 0.15. The daily lysimeter Kc values were fit to the evolution linearly related to the green cover fraction (fc), which follows the crop development pattern. Seasonal soil evaporation was estimated as 135 mm and the basal crop coefficient approach was calculated in this study, Kcb which separates crop transpiration from soil evaporation (evaporation coefficient, Ke) was calculated and related to the green cover fraction (fc) and the Normalized Difference Vegetation Index (NDVI) obtained by field radiometry in case of wheat. The results obtained by this research will permit the reduction of water use and improvement of water productivity for wheat, which is of vital importance in areas of limited water resources. 相似文献
50.
为探索渍害胁迫下冬小麦灾损程度的可视化监测方法,通过田间试验,分析了麦田16个常用图像特征指数在不同受渍时间下的变化特征及其与冬小麦SPAD值、产量和千粒重的相关关系,并建立了基于图像特征指数衰减量的冬小麦渍害估算模型。结果表明,随渍水时间的增加,红光(R)、红光标准化值(NRI)、超红指数(EXR)、植被颜色指数(CIVE)极显著上升,而绿光标准化值(NGI)、归一化绿红差值指数(NGRDI)、绿-红差值指数(GMR)、超绿指数(EXG)、绿红比值指数(GRVI)则极显著下降;且这9个图像特征指数均与冬小麦SPAD值、产量和千粒重呈极显著相关,相关系数的最大绝对值分别为0.92、0.85和0.91;基于图像指数衰减量所建的SPAD值、产量和千粒重减少量的估算模型均以二次多项式最优,且以CIVE指数衰减量构建的SPAD值、产量和千粒重减少量估算模型的预测精度最高,验证集决定系数分别达到0.98、0.95、0.96。因此,数字图像技术可用于冬小麦渍害监测,且以基于CIVE指数的监测效果最佳。 相似文献