长江口南汇湿地植被的光谱吸收特征研究

植被的光谱吸收特征与植被生长状况密切相关,同时也受土壤湿度等外界因素影响。本文以长江口南汇湿地典型植被芦苇、互花米草和海三棱藨草为研究对象,在计算其光谱特征参数的基础上,分析了这3种植被的光谱吸收特征形变PSDI值。最后结合实测的土壤湿度,分析了3种植被的PSDI值和土壤湿度的相关性。研究结果发现:互花米草的PSDI值最大,海三棱藨草的PSDI值最小,芦苇介于两者之间,表明互花米草受外界的环境影响较大;互花米草的PSDI值与土壤湿度的相关性最大,芦苇的PSDI值与土壤湿度的相关性最小,海三棱藨草介于两者之间,表明互花米草适应湿地环境能力较强。     

基于时序遥感的庐山自然保护区植被分类及其变化分析

自然保护区是生物多样性最丰富的区域,针对近年来庐山自然保护区森林生物多样性进行调查,了解保护区内植被的分布及其变化,对于保护庐山境内的林业资源具有重要的意义.论文利用2015-2018年Proba-Ⅴ卫星100m分辨率5d植被指数产品,使用最大值合成法、Hants时间序列谐波分析方法对数据进行平滑降噪处理,并采用随机森...     

气候变化对石羊河流域生态环境的影响分析

利用石羊河流域1959—2018年气象、水文和卫星遥感资料,采用线性倾向率、滑动t检验和相关系数(Pearson)等方法,分析石羊河流域内生态环境因素的变化事实及相互关系,得到气候变化对流域生态环境的影响程度。结果表明：石羊河流域气温呈显著上升趋势,增温速度为下游0.42℃·(10 a)^-1>中游0.36℃·(10 a)^-1>上游0.35℃·(10 a)^-1,近10 a增温最显著,较20世纪60年升高了1.67℃。四季气温均呈显著上升趋势,增温速度为冬季>秋季>春季>夏季。降水呈缓慢增加趋势,增幅为上游8.3 mm·(10 a)^-1>中游7.0 mm·(10 a)^-1>下游4.1 mm·(10 a)^-1,近10 a增加最显著,较20世纪60年代增加了17%。四季降水呈弱增加趋势,增加幅度为夏季>春季>秋季>冬季。河流流量基本持平,植被覆盖面积和归一化植被指数(NDVI)显著增大。近20 a流域气候...     

黄河流域NDVI/土地利用对蒸散发时空变化的影响

基于蒸散发(ET)、归一化植被指数(NDVI)及土地利用数据利用M-K检验、Sen趋势分析等方法,研究2001—2015年黄河流域ET时空分布及不同植被覆盖/土地利用下的ET变化规律.结果 表明:(1)黄河流域年均ET呈东南高西北低的空间分布格局,与植被覆盖和土地利用的关系具有较好的一致性;(2)黄河流域ET、NDVI...     

不同地表覆盖下SPOT-7影像大气校正方法研究

针对不同的地物覆盖类型,分析和评价了适用于SPOT-7卫星数据的大气校正方法,为其遥感定量研究和应用提供思路和参考.在河南省嵩山地区进行了同步观测实验,获取了SPOT-7卫星影像并进行大气校正处理,地面同步测量了大气光学特性和典型地物样区光谱,计算了地物样区在影像上的反射率和植被指数,分析了不同地物覆盖类型下大气校正模...     

温度植被干旱指数(TVDI)在复杂山区干旱监测的应用研究

对地观测卫星(EOS)中分辨率成像光谱仪(MODIS)传感器因具有高时间分辨率、高光谱分辨率、适中的空间分辨率等特点,非常适合大范围、长时期、动态的干旱监测。本文选取云南省红河州地区为研究对象,利用MODIS植被指数和陆地表面温度产0品建立高原多山地区NDVI- T_s空间,并由此建立了复杂山区的温度植被干旱指数(TVDI)。利用该方法检测2006年3、4两个月的云南省红河地区的地表干旱情况,同时结合当地气象局信息和野外同步观测的表层土壤温度、湿度数据对该指标进行定量验证,结果表明,TVDI与土壤湿度显著相关,该方法可以用来对大区域干旱进行检测,能很好的用于山区的干旱预警与监测。     

Relations indices de Végétation–Pluie au Burkina Faso: Cas du Bassin Versant du Nakambé/Relationship between Rainfall and Vegetation Indexes in Burkina Faso: A Case Study of the Nakambé Basin

Abstract

This work deals with the problem of the use of remote sensing data derived from NOAA/AVHRR observations for monitoring the West African Sahel climatic variability. NDVI is widely used in hydrological and climatological research, and in the study of global climatic changes. The relationships between NDVI and climatic parameters are not well established yet and are the focus of many studies. The relationships between NDVI and rainfall were studied at a 10-day time step in the Nakambe River basin in Burkina Faso in the Sahelo-Sudanian area over the years 1982–1999. Good correlations were found in the annual evolution of these two variables. The statistical analysis shows a significant relationship between NDVI and the sum of the annual rainfall with determination coefficients greater than 0.80. At the spatial scale of 0.5° × 0.5°, the determination coefficient ranges from 0.91 to 0.96. It was also found that the NDVI is a good indicator of the determination of the beginning and the end of the rainy season. It gives reasonably good results in comparison with the other methods commonly used in the study region.     

Characteristics of canopy interception loss in Moso bamboo forests of Japan

In recent years, Moso bamboo (Phyllostachys pubescens) forests have rapidly expanded in Japan by replacing surrounding coniferous and/or broadleaved forests. To evaluate the change in water yield from forested areas because of this replacement, it is necessary to examine evapotranspiration for Moso bamboo forests. However, canopy interception loss, one of the major components of evapotranspiration in forested areas, has been observed in only two Moso bamboo forests in Japan with relatively high stem density (~7000 stems/ha). There are, in fact, many Moso bamboo forests with much lower stem density. Thus, we made precipitation (Pr), throughfall (Tf) and stemflow (Sf) observations for 1 year in a Moso bamboo forest with stem density of 3611 stems/ha and quantified canopy interception loss (Ic). Pr and Ic for the experimental period were 1636 and 166 mm, respectively, and Ic/Pr was 10%. The value was approximately the same as values for the other two Moso bamboo forests and lower than values for coniferous and broadleaved forests. On the other hand, Tf/Pr and Sf/Pr for our forest (86% and 4%, respectively) were approximately 10% of Pr larger and smaller than values for the other two Moso bamboo forests. These results suggest that the difference in stem density greatly affects precipitation partitioning (i.e. Tf/Pr and Sf/Pr) but does not greatly change Ic/Pr. Copyright © 2012 John Wiley & Sons, Ltd.