A comparative analysis of the NDVIg and NDVI3g in monitoring vegetation phenology changes in the Northern Hemisphere

Phenology is a sensitive and critical feature of vegetation and is a good indicator for climate change studies. The global inventory modelling and mapping studies (GIMMS) normalized difference vegetation index (NDVI) has been the most widely used data source for monitoring of the vegetation dynamics over large geographical areas in the past two decades. With the release of the third version of the NDVI (GIMMS NDVI3g) recently, it is important to compare the NDVI3g data with those of the previous version (NDVIg) to link existing studies with future applications of the NDVI3g in monitoring vegetation phenology. In this study, the three most popular satellite start of vegetation growing season (SOS) extraction methods were used, and the differences between SOSg and SOS3g arising from the methods were explored. The amplitude and the peak values of the NDVI3g are higher than those of the NDVIg curve, which indicated that the SOS derived from the NDVIg (SOSg) was significantly later than that derived from the NDVI3g (SOS3g) based on all the methods, for the whole northern hemisphere. In addition, SOSg and SOS3g both showed an advancing trend during 1982–2006, but that trend was more significant with SOSg than with SOS3g in the results from all three methods. In summary, the difference between SOSg and SOS3g (in the multi-year mean SOS, SOS change slope and the turning point in the time series) varied among the methods and was partly related to latitude. For the multi-year mean SOS, the difference increased with latitude intervals in the low latitudes (0–30°N) and decreased in the mid- and high-latitude intervals. The GIMMS NDVI3g data-sets seemed more sensitive than the GIMMS NDVIg in detecting information about the ground, and the SOS3g data were better correlated both with the in situ observations and the SOS derived from the Moderate Resolution Imaging Spectroradiometer NDVI. For the northern hemisphere, previous satellite measures (SOS derived from GIMMS NDVIg) may have overestimated the advancing trend of the SOS by an average of 0.032 d yr^–1.     

1996—2015年黄河源区植被覆盖度提取和时空变化分析

研究黄河源区植被覆盖度时空变化对于深入理解青藏高原多年冻土区在气候变化和人类活动双重作用下的植被响应,以及为黄河源区生态环境保护和治理提供决策具有重要的意义。以陆地卫星（Landsat）影像为主要数据源,利用多端元混合像元分解模型（Multiple Endmember Spectral Mixture Analysis,MESMA）,完成了1996—2015年黄河源区4.4万km²、7个时相的植被覆盖度提取,并基于转移矩阵和一元线性回归趋势法分析了植被覆盖度变化情况。结果表明：黄河源区东南部植被覆盖度较高,西北部植被覆盖度较低,且植被覆盖度在空间上由东南向西北呈递减趋势。1996—2004年植被覆盖度整体呈下降趋势,2004—2015年植被覆盖度呈增加趋势。1996—2015年植被覆盖度呈增加趋势的区域占57.25%,基本不变的区域占16.02%,植被覆盖度呈下降趋势的区域占26.73%。植被覆盖度下降的主要原因是黄河源头及一些河谷地带、环湖地区受人类影响较大,且东南部海拔较低地区受到过度放牧的影响。尽管黄河源区1996—2015年植被覆盖度总体呈改善趋势,但毒杂草的面积也由1996年的16 060 km²增加到2015年的22 942 km²,20年间增加了6 882 km²,毒杂草面积的增加对黄河源区局部地区畜牧业的发展有不利影响。     

不同覆盖措施对高寒地区剥离的草皮块堆放温湿度及成活的影响

重大工程建设会扰动高寒草地,法规要求扰动区草皮层应予以剥离,待工程建设后再用于恢复原生植被,当前对剥离草皮堆放成活的影响研究较少。试验设计遮阳网与穿孔膜两种覆盖条件,探讨分析其对剥离的草皮块堆放与铺植利用后土壤温湿度及草皮块返青覆盖度的影响,研究结果表明：遮阳网覆盖堆体较自然地表日均土壤温度显著降低,同时各深度层极大延长冻结期,降水对土壤水分的补充效应延后,并造成堆放期水分大量损失;穿孔膜覆盖堆体较自然地表提高了土壤温度,阻碍了降水对土壤水分的补充,并造成堆放后土壤吸持水能力降低。遮阳网覆盖的草皮块返青覆盖度显著高于穿孔膜覆盖的返青覆盖度,堆放期日平均土壤温度>0 ℃的堆放日数与草皮块返青覆盖度的线性拟合较好。工程建设中应尽量缩短堆放时长,采用透水透气类覆盖材料,增加土壤与空气热量交换,以维持更长的冻结期,并适时补充水分,提高草皮块铺植的恢复成效。     

黄土丘陵沟壑区坡面尺度撂荒草地入渗特征影响因素试验研究

为研究黄土丘陵沟壑区多种因素对撂荒草地入渗特征的影响,采用野外自然降雨观测法,研究不同降雨特征（降雨量、平均雨强、降雨历时和最大30 min雨强（I₃₀））、土壤前期含水量、坡长（10 m、20 m、30 m、40 m和50 m）和植被盖度条件下土壤入渗特征差异,通过灰色关联度法判断影响撂荒草地入渗特征的主导因子。结果表明：①入渗量随降雨量、降雨历时和I₃₀增加而增大（R²>0.55,P<0.01）;入渗补给系数随降雨量、I₃₀和平均雨强增大而减小（R²>0.12,P<0.05）;平均入渗率随降雨强度、I₃₀增加而递增（R²>0.53,P<0.01）。②入渗量和平均入渗率随前期含水量增加而减少,入渗补给系数随之增加而增大（R²>0.13,P<0.05）。③入渗量、入渗补给系数和平均入渗率总体随坡长增加而增大（R²>0.56,P<0.01）,但在坡长30 m和40 m之间存在临界坡长。④在入渗效率较高的情况下,植被对土壤入渗的影响并不显著,降雨特征和坡长成为主导因子。     

基于SRTM数据的天气雷达探测环境分析研究

利用SRTM高程数据作为选址基础数据,结合天气雷达工作方式和探测方法,计算得到天气雷达在0.5°、1.0°、2.4°仰角上地物遮挡情况;利用高程格点数据获得3个仰角的地物剖面数据,提高了SRTM数据利用精度和运算速度;分析中结合地球曲率和电磁波折射影响,改进算法获得站点遮蔽角图,站点上空1 km、海拔3和6 km等射束高度图及数据,该分析结果充分体现了SRTM数据的高分辨率特点。最后将结果数据与GIS地图结合,完成了四川省天气雷达网探测环境分析,并给出了各个台站评估结果。     

小良试验站三种植被类型地表径流效应的对比研究

本文分析研究了３种植被类型下的地表径流在汇流、洪峰及径流过程上的特征，差异是巨大的。在径流过程上桉树林和裸地的变地剧烈，几乎没有什么调蓄作用，洪峰流量占一次性降水径流量的绝大部分，涨水和退水流量都较小。本文应用灰色系统ＧＭ（２，１）模型，成功地预测了以年和以月为时间尺度的地表径流序列，其预测模型可以用来对这些时间尺度的地表径流进行预报。     

应用MSS数字图像处理进行森林资源动态监测的探讨

本文探讨了应用多时相Landsat Mss图像进行森林动态监测的方法。研究了差值图像法、比值植被指数差值法、归一化植被指数差值法、多时相主分量分析法(垂直植被指数法)和分类比较法对提取森林动态变化信息的作用。结果表明,3种植被指数法都能较好地提取植被动态信息,可用于森林面积消长的动态监测。     

土地利用变化的卫星遥感监测——河北省南皮县试验报告

本文报道了运用图像处理技术,分别计算河北省南皮县试区两个不同时相TM与SPOT图像的亮度指数和垂直植被指数,进而求算变化向量、自动输出变化分类图的试验研究结果。经实地对22块变化图斑进行检验,都准确无误,表明从不同时相的卫星图像提取土地利用变化信息,分析耕地消长及大宗作物种植面积波动是完全可能的,有广阔的应用前景。     

Comparison of taxon calibrations,modern analogue techniques,and forest-stand simulation models for the quantitative reconstruction of past vegetation: A critique

Taxon calibrations based on eastern North America or on the southeastern United States alone suggest a different forest composition from that based on Wisconsin/Michigan, which is argued as preferable. Questions are raised about how well comparison with modern analogues distinguishes forest characteristics. The simulation model used by Delcourt and Delcourt is thought to be inappropriate, partly because it is constrained by faulty climatic data. Models are seen as complementary to other techniques rather than as an alternative methodology.     

Raindrop impact and water flow on the vegetative surfaces of trees and the effects on stemflow and throughfall generation

The physical processes of raindrop impact and water flow on the leaves and branches of selected tropical tree species were examined under laboratory conditions using simulated rainfall. Inclined branches were found to be particularly efficient in detaining impacting water droplets. This efficiency in raindrop detention increases linearly as a function of branch inclination on branches that are initially dry. On branches that have been thoroughly wetted, this increase in raindrop detention with branch inclination is best expressed as a logarithmic function. At branch inclinations of 60° above the horizontal, the quantity of branchflow was found to be > 80 per cent of the total quantity of impacting rainfall, indicating that < 20 per cent was lost to rainsplash. The strong positive relationship between branchflow and branch inclination explains why trees with large projected areas of steeply inclined upthrust branches have significant quantities of intercepted water draining from their branches and trunks under heavy rainfall conditions. This drainage from the woody frame of trees influences surficial processes by generating both stemflow and large throughfall droplets.