玛纳斯河流域NPP时空变化及其生物多样性维护功能重要性评价

基于植被净初级生产力(NPP)法开展干旱区流域生物多样性维护功能重要性评价可为区域生态安全建设提供科学依据。基于玛纳斯河流域MODIS13Q1数据和环境数据，利用卡内基-艾姆斯-斯坦福方法模型(CASA)估算2001—2020年流域植被NPP,结合地形因子构建流域生物多样性维护功能重要性评价模型，利用地理探测器分析气候、地形、土壤类型等因子对流域NPP的空间异质性影响。研究结果表明：(1)近20年，流域植被NPP均值呈上升趋势，高值集中于山地区低山丘陵带和绿洲区中部，低值区分布于荒漠生态区；(2)从流域不同土地利用类型的NPP均值看，耕地>林地>草地>建设用地>未利用地>水域；(3)流域生物多样性维护功能的一般重要区、中等重要区、重要区和极重要区的数值范围为：0—0.12、0.12—0.22、0.22—0.47和0.47—0.84,分别占流域总面积的20.17%、20.14%、19.91%和19.85%,山地区低山丘陵带和绿洲区中部是流域生物多样性维护功能的极重要区；(4)年平均降水、土壤类型是流域NPP空间分异解释力最强的因子；各因子的影响呈非线性增强及...     

基于生态保护目标的疏勒河中游绿洲生态环境需水研究

以疏勒河中游绿洲为研究对象,基于RS和GIS技术,选择1990年、2000年和2013年Landsat TM/ETM影像解译成果作为中游绿洲生态演变研究的基础资料,并确定了中游绿洲2020年和2030年生态保护目标。根据疏勒河中游绿洲生态环境需水特征,建立了基于天然植被、河流、湿地和防治耕地盐碱化的疏勒河中游绿洲生态环境需水定量化模型,并估算了现状和保护目标下流域中游绿洲生态需水量,从而为区域水资源合理配置和生态系统的协调发展提供参考依据。通过计算得出了疏勒河中游绿洲2013、2020和2030年天然植被、河流基本生态、河流输沙、河流渗漏补给、水面蒸发、湿地生态和防治耕地盐碱化生态环境需水量。同时得出疏勒河中游绿洲2013、2020和2030年疏勒河中游绿洲最大、最小和最适生态环境需水量分别为7.42×10~8、7.09×10~8、7.29×10~8,8.24×10~8、7.91×10~8、8.11×10~8m~3和9.12×10~8、8.79×10~8、8.99×10~8m~3。2013、2020和2030年疏勒河中游绿洲生态环境需水量年内变化主要集中于5—8月,累积生态环境需水量占全年的比例分别为58.01%、58.08%和58.13%;疏勒河中游绿洲生态环境需水量瓜州所占比例相对较大,玉门相对最小,敦煌介于二者之间。     

海河流域生态需水核算

从生态系统角度分析了生态需水内涵和生态需水与生态用水概念的差别。探讨了海河流域自然陆地、河流、湿地、城市 4种生态系统类型生态需水核算方法 ,并对其生态需水量进行了核算。大气降水首先被天然植被利用后形成地表径流 ,才能被人类管理利用来满足经济水量和生态水量需求。从水资源管理来说 ,河流、湿地、城市等生态需水来源于径流性水资源可称为狭义生态需水 ,而包括利用降水性水资源的天然植被生态需水在内的全部生态系统生态需水可认为是广义的生态需水。狭义生态需水是水资源管理及生态需水研究和关注的重心。研究结果表明 :海河流域河流生态需水 31.6 4× 10 8m3,占多年平均天然径流量的 12 % ;湿地生态需水为 34.31× 10 8m3,占 13% ;城市生态需水量 10 .83× 10 8m3,占 4 .1% ,3项合计占径流总量的 2 9.1%。生态需水量是一个动态的值 ,随生态保护目标的提高和经济的发展核算结果必然发生变化 ,维护生态环境质量的状况不同 ,也存在最大、最小生态需水量的阈值问题 ,此类问题需今后进一步研究     

基于系统动力学的崇明岛生态需水量预测

对上海市崇明岛现状生态需水分析的基础上,采用系统动力学方法对崇明岛规划年(2005-2020年)的生态需水量进行了预测.结果表明:崇明岛生态需水量在2010、2015和2020年分别为12.05、14.56和16.99亿m3,分别占本地水资源总量的35.86%、43.33%和55.57%;在生态需水组成中,森林和河流生态需水占大部分,城市绿地生态需水量所占的份额最小;在2010、2015和2020年,森林生态需水分别占生态需水总量的53.44%、56.87%和59.56%,河流生态需水分别占生态需水总量的26.31%、22.32%和19.48%,城市绿地生态需水量所占的份额分别为1.33%、2.47%和2.94%.     

干旱内陆流域河道外生态需水量评价——以黑河流域为例

河道外生态系统需水量的合理评价是干旱区水资源合理配置与管理、生态环境保护与建设中最为关键的科学问题。基于不同植被蒸散发潜力估算模型,依据不同生态系统及同一生态系统在不同气候与地理区域具有不同生态需水规律的特点,提出了可模拟和评价不同时期生态系统需水量的方法,不仅能体现生态系统需水量的年际变化,也能反映年内不同时间段(月、季节甚至每日)的需水量变化,并提出干旱区生态适宜需水量在不同时期是一个区间。以黑河流域中下游地区为研究区域分析其生态需水量,结果表明:黑河中游地区年平均生态需水量(11.16±2.67)×108m3,其中绿洲生态系统需水(9.13±2.29)×108m3;下游地区生态需水量(16.16±4.04)×108m3,现状绿洲生态体系需水(11.06±2.77)×108m3,现阶段实施的下游分水9.7亿m3/年的方案,可以促使现有绿洲生态系统有一个良好的结构与功能,并给出了不同典型年不同月份的生态需水量及其变化。     

新疆喀纳斯国家自然保护区植被叶面积指数观测与遥感估算

叶面积指数(Leaf Area Index,LAI)是重要的植被结构参数,调控着植被与大气之间的物质与能量交换,在生态环境脆弱的我国西北部开展植被LAI的研究对阐明该地区植被对气候变化和人类活动的响应特征具有重要的科学意义.利用LAI-2200和TRAC仪器观测了新疆喀纳斯国家级自然保护区森林和草地的有效叶面积指数(LAIe)和真实LAI,构建了其遥感估算模型,生成了研究区LAIe和LAI的空间分布图.在此基础上,分析了LAI随地形因子(海拔、坡度、坡向)的变化特征,探讨了将其应用于估算研究区森林生物量密度的可行性,并评估了研究区MODIS LAI产品的精度.结果表明:研究区阔叶林、针阔混交林、针叶林、草地LAIe的平均值分别为4.40、3.18、2.57、1.76,LAI的平均值分别为4.76、3.93、3.27、2.30.LAIe和LAI的高值主要集中分布在湖泊和河流附近;植被LAI随海拔、坡度和坡向的变化表现出明显的垂直地带性的特点.LAI随海拔和坡度的增加呈现先增加后减小的变化趋势,坡向对针叶林和草地LAI的影响明显,但对阔叶林和针阔混交林LAI的影响较弱;森林生物量密度(BD)随LAI增加而线性增加(BD=44.396LAI-25.946,R2=0.83),研究区森林生物量密度平均值为120.3 t/hm2,估算的总生物量为5.0×l06 t;MODIS LAI产品与利用TM数据生成的LAI之间具有一定的相似性(森林R2=0.42,草地R2=0.53),但森林和草地的MODIS LAI产品分别比利用TM数据生成的LAI偏低16.5％和24.4％.     

锡林河流域综合管理信息系统研发与应用

流域综合管理信息系统是集成多主题流域信息,服务流域综合管理决策的工具。本文基于GIS技术,设计了锡林河流域水质评价、流域分析和灌溉需水估算模型,研制了锡林河流域综合管理信息系统,并在系统中集成了数据管理、查询、更新、处理、模型分析和输出等多种功能,在栅格水平上实现了模型参数的输入、传递、计算及显示与分析。其中,水质评价模型以遥感影像为基本信息源,实现水质评价指标实时监测与估算,应用影响因子与水质评价指标的回归系数,分析影响水质变化的关键影响因素;流域分析模型具备确定流向、估算流域累积流量并判定流域分区等功能;农业灌溉需水计算模型实现了在已有降雨条件下锡林河流域年灌溉需水量的估算。锡林河流域综合管理信息系统为该流域现代化管理和综合治理提供了决策参考。     

毛乌素沙地海流兔河流域植被净初级生产力估算

采用CASA(Carnegie-Ames-Stanford Approach)模型,结合TERRA MODIS卫星数据和气象数据,对毛乌素沙地海流兔河流域2015年各月的植被净初级生产力(NPP)进行估算,并对植被NPP月平均值的时空分布规律及其与气象因子和地下水位埋深的关系进行了分析.结果表明:毛乌素沙地海流兔河流域2015年植被NPP总量为2.88×1011 g,生长季(4月份至10月份)的植被NPP总量达2.81×1011 g,占全年植被NPP总量的97.57%.随着时间推移,植被NPP月平均值和归一化差分植被指数(NDVI)月平均值呈"缓慢增加—急剧增加—急剧下降"的变化趋势.植被NPP月平均值季节变化明显,春季、夏季、秋季和冬季植被NPP月平均值之和分别为20.55、69.39、20.46和0.48 g·m-2.从空间分布上看,中部河谷和滩地的植被NPP月平均值总体上高于东南部、西部和西北部等沙丘荒漠区.月平均气温对植被NPP月平均值变化的影响最大,其次为平均实际日蒸散发量和地表月太阳辐射.植被NPP月平均值随着地下水位埋深的增加而减小,最大值出现在地下水位埋深1~2 m之间.上述研究结果显示:采用CASA模型可以较好地估算毛乌素沙地海流兔河流域植被NPP值,月平均气温和地下水位埋深对该流域植被NPP值的影响较大.     

农林交错带界面的小气候边界影响域季节动态

采用移动分窗法和旱季、雨季的小气候测算,对吉林省西部林地与农田边界的小气候影响域的季节动态进行了分析.结果表明:研究区域内林地中移动分窗计算出的欧氏距离平方(SED)曲线变化稳定,旱季在40 m处出现峰值,雨季在20 m处出现峰值;农田小气候边界影响域则没有明显的时空变化,旱季和雨季SED曲线的峰值均为60 m.因此,边界对农田的影响域要大干林地,并且林地的影响域存在季节变化.说明在农林边界,小气候影响域存在着时空变化,其范围取决于边界两侧植被的季相变化和人为干扰的强度.     

近20年疏勒河流域生态承载力和生态需水研究

水资源是一切生物赖以生存和不可替代的基本自然资源,生态需水在维持流域生态系统平衡和生态承载力可持续性方面扮演着极其重要的角色,干旱区内陆河流域尤为突出。以疏勒河流域和其所辖县区为不同尺度区域,利用LandsatTM/ETM+/OLI遥感数据(30 m分辨率),解译该流域近20年5期土地利用数据,同时在收集和整理流域多年水文水资源基础数据的基础上,以流域生态需水为研究主线,运用多学科方法和原理,结合遥感技术、GIS技术,通过现场调查和观测,计算了流域及其所辖县区近20年生态承载力和天然植被生态需水量。结果表明:近20年来,伴随流域生态承载力的增加,生态需水量也呈增加趋势,两者呈非常明显的正相关关系,相关系数达0.6076;县域尺度上,生态需水与生态承载力正相关关系也较高,其中林、草地的生态需水与生态承载力拟合优度R~2分别达0.8519、0.7235,说明林、草地生态承载力的变化对生态需水变化的解释能力更强,二者之间的关系更为紧密;基于空间热点分析,该流域生态承载力和生态需水的热点和冷点区域均呈现相似的空间格局,说明二者之间在空间尺度上也呈正相关关系。研究结论可为疏勒河流域生态水资源量的科学配置和调控提供重要的决策依据。     

A framework for predicting and visualizing the East African wildebeest migration-route patterns in variable climatic conditions using geographic information system and remote sensing

In the Serengeti–Mara ecosystem of East Africa, the migrating wildebeests (Connochaetes taurinus) response to food resource distribution and terrain complexity impacts their movement characteristics. This manifests in varying ways such as movement speed, direction, turning frequency, and moving distance. To investigate these characteristics, indices derived from vegetation quantity (normalized difference vegetation index, NDVI) and relief (slope) were used in our previous work to quantify the relationships between migration route location versus vegetation, relief complexity, and their combination. Least cost pathways determined using these indices were representative of approximate migration routes. The simulated routes were shown to be strongly influenced by vegetation during the dry season. However the impact of climatic change (rainfall) on route location was not investigated though known to influence vegetation recovery patterns. This paper specifically addresses the impact of climatic change on route location. The mean monthly rainfall data were used to classify the rainy and dry seasons in the Serengeti, the Western, and the Mara areas as normal, drier, or wetter than normal, over the 1986–1997 period. The classification is based on the mean monthly rainfall variability about the 11-year seasonal mean. Regression analysis showed strong linear relationships between rainfall and mean NDVI for each one of the three areas. The subsequent seasonal classification based on the corresponding habitat vegetation characteristics (NDVI) revealed the relative variation of vegetation with rainfall. Using the derived general categories, migration routes are then predicted for the various categories using a route attractivity index. The seasonal migration routes were shown to change depending on the relative abundance of the rainfall during the dry season. Dry season migration routes tended toward areas with better vegetation activity, i.e., those characterized by higher NDVI gradients. Our results showed that during the western trek, wetter dry seasons have the effect of delaying the herds movement northwestward. During the northern trek, wetter dry seasons have the effect of delaying the tendency to move westward. However the variation in rainfall conditions during the rainy and dry season had no significant influence on the southern trek route location. We assume that predicted routes based on average general category conditions for different years are representative of main migration route patterns for similar seasons, therefore they are well suited for approximate route prediction, if the climatic characteristics of the year are known.     

基于高光谱遥感的小麦叶干重和叶面积指数监测

生物量和叶面积指数(LAI)是描述作物长势的重要参数, 叶干重和LAI的实时动态监测对小麦(Triticum aestivum)生长诊断和管理调控具有重要意义。为分析多种高光谱参数估算小麦叶干重和LAI的效果, 建立小麦叶干重和LAI的定量监测模型, 该研究连续3年采用不同小麦品种进行不同施氮水平的大田试验, 于小麦不同生育期采集田间冠层高光谱数据并测定叶片叶干重和LAI。试验结果显示, 小麦叶干重和LAI随施氮水平的提高而增加, 随生育进程呈单峰动态变化模式。小麦叶干重和LAI与光谱反射率间相关性较好的区域主要位于红光波段(590~710 nm, r<-0.60)和近红外波段(745~1 130 nm, r>0.69)。对于不同试验条件下的叶干重和LAI, 可以使用统一的光谱参数进行定量反演, 其中基于RVI (810, 560)、FD755、GM1、SARVI (MSS)和TC3等光谱参数的方程拟合效果较好。经不同年际独立试验数据的检验表明, 以参数RVI (810, 560)、GM1、SARVI (MSS)、PSSRb、(R_750-800/R_695-740) -1、VOG2和MSR705为变量建立的叶干重和LAI监测模型均给出较好的检验结果。因此, 利用关键特征光谱参数可以有效地评价小麦叶片生长状况, 尤其是光谱参数RVI (810, 560)、GM1和SARVI (MSS)可以对不同条件下小麦叶干重和LAI进行准确可靠的监测。     

基于遥感和Penman-Monteith模型的内陆河流域不同生态系统蒸散发估算

遥感数据具有很好的时空连续性,它是区域蒸散发通量估算的有效方法。引入了一个简单的具有生物物理基础的Penman-Monteith(P-M)模型,分别利用黑河流域高寒草地阿柔站和干旱区农田盈科站2008—2009年的气象数据和MODIS(Moderate Resolution Imaging Spectroradiometer)叶面积指数(LAI),实现了2008—2009年日蒸散发的估算,并同时实现了对植被蒸腾和土壤蒸发的分别估算。结果表明,利用P-M公式模拟的蒸散发与实测的蒸散发具有较好的一致性,日蒸散发模拟的决定系数(R2)超过0.8。估算的高寒草甸和干旱区农田玉米全年平均的蒸腾分别为0.78 mm/d和1.20 mm/d,分别占总蒸散发的60%和61%,土壤蒸发分别为0.53和0.77 mm/d,占总蒸发的40%和39%。可见两种生态系统的作物蒸腾均强于土壤蒸发,同时农田玉米蒸腾强于高寒草甸蒸腾。研究结果证明了基于遥感的P-M公式可以很好地实现对高寒草地和干旱区农田生态系统蒸散发的估算。通过考虑土壤水分变化对气孔导度的影响,可以提高模型对农田蒸散发的模拟精度。     

Season of birth affects juvenile survival of giraffe

Variation in timing of reproduction and subsequent juvenile survival often plays an important role in population dynamics of temperate and boreal ungulates. Tropical ungulates often give birth year round, but survival effects of birth season for tropical ungulate species are unknown. We used a population of giraffe in the Tarangire Ecosystem of northern Tanzania, East Africa to determine whether calf survival varied by season of birth. Variation in juvenile survival according to season of birth was significant, with calves born during the dry season experiencing the highest survival probability. Phenological match may confer a juvenile survival advantage to offspring born during the dry season from greater accumulated maternal energy reserves in mothers who conceive in the long rainy season, high-protein browse in the late dry-early short rainy seasons supplementing maternal and calf resources, reduced predation due to decreased stalking cover, or some combination of these. Asynchrony is believed to be the ancestral state of all ungulates, and this investigation has illustrated how seasonal variation in vegetation can affect juvenile survival and may play a role in the evolution of synchronous births.     

Factors affecting searcher efficiency and scavenger removal of bat carcasses in Neotropical wind facilities

Bat fatalities at wind facilities have been reported worldwide, and environmental impact assessments depend on searches for carcasses around wind turbines to quantify impacts. Some of the carcasses may go undetected by search teams or be removed by scavengers during search intervals, so these biases must be evaluated and taken into account in fatality estimation. We investigated the influence of different factors on searcher efficiency and scavenger removal in a dry forest area in northeastern Brazil, one of the regions with the highest density of wind turbines in the Neotropics. We conducted searcher efficiency and scavenger removal trials around 34 wind turbines from January 2017 to January 2018. Searcher efficiency was influenced by cover type, season, and carcass size, ranging between 12% for small bats in shrub vegetation during the rainy season and 96% for large bats in absent or sparse vegetation during the dry season. Carcass type and season affected scavenger removal; carcass persistence time was shorter for chicks (1.2 days) than for bats and mice (2.1 days), and the probability of a carcass persisting for a whole day was higher in the rainy season, while the probability of carcass persistence for 7, 14, and 28 days was higher in the dry season. The scavenger community was composed of canids, birds of prey, and insects, with systematic removal of carcasses by the crab-eating fox (Cerdocyon thous) throughout the year and by dung beetles in the rainy season. Based on our findings, impact assessments of wind facilities on bats should conduct searcher efficiency trials in all seasons and cover types around wind turbines, using bat carcasses or models of different sizes. Scavenger removal trials should cover all seasons as well, and use mouse carcasses (but not chick carcasses) as surrogates for bats.     

Effects of Season and Successional Stage on Leaf Area Index and Spectral Vegetation Indices in Three Mesoamerican Tropical Dry Forests1

We compared plant area index (PAI) and canopy openness for different successional stages in three tropical dry forest sites: Chamela, Mexico; Santa Rosa, Costa Rica; and Palo Verde, Costa Rica, in the wet and dry seasons. We also compared leaf area index (LAI) for the Costa Rican sites during the wet and dry seasons. In addition, we examined differences in canopy structure to ascertain the most influential factors on PAI/LAI. Subsequently, we explored relationships between spectral vegetation indices derived from Landsat 7 ETM+ satellite imagery and PAI/LAI to create maps of PAI/LAI for the wet season for the three sites. Specific forest structure characteristics with the greatest influence on PAI/LAI varied among the sites and were linked to climatic differences. The differences in PAI/LAI and canopy openness among the sites were explained by both the past land‐use history and forest management practices. For all sites, the best‐fit regression model between the spectral vegetation indices and PAI/LAI was a Lorentzian Cumulative Function. Overall, this study aimed to further research linkages between PAI/LAI and remotely sensed data while exploring unique challenges posed by this ecosystem.     

漓江上游典型森林植被对降水径流的调节作用

利用野外同步长期定位观测林外降雨、地表径流和河川径流的方法,对漓江上游典型森林植被的生态水文过程进行观测研究。结果表明:1)流域降水年内分配极不均匀,50a年降雨量总体变化趋势不明显。林冠截留受林外降雨特征的影响,也与植被类型密切相关。2)地表径流平均滞后时间为70 min。在连续降雨的情况下,降雨滞后效应不再明显,甚至出现地表径流与降雨同步的现象,小降雨可能产生大的地表径流,从而加大流域在雨季发生洪灾的风险。3)湿季径流系数略大于旱季,干季降水量减少,且森林植被消耗大量水分,减少了枯水期径流的产生,增大发生旱灾的风险。森林植被延长河川径流持续时间,使一次持续18 d的降水过程形成的径流,在降水停止后能延续24 d。降雨后退水持续时间与前期降水及后期降水叠加有关。目的为揭示漓江上游森林植被对降水径流的调节作用,客观评估漓江上游水资源潜力、加强流域水资源管理和森林经营提供科学依据。     

Combined Multivariate Statistical Techniques,Water Pollution Index (WPI) and Daniel Trend Test Methods to Evaluate Temporal and Spatial Variations and Trends of Water Quality at Shanchong River in the Northwest Basin of Lake Fuxian,China

Understanding spatial and temporal variations in river water quality and quantitatively evaluating the trend of changes are important in order to study and efficiently manage water resources. In this study, an analysis of Water Pollution Index (WPI), Daniel Trend Test, Cluster Analysis and Discriminant Analysis are applied as an integrated approach to quantitatively explore the spatial and temporal variations and the latent sources of water pollution in the Shanchong River basin, Northwest Basin of Lake Fuxian, China. We group all field surveys into 2 clusters (dry season and rainy season). Moreover, 14 sampling sites have been grouped into 3 clusters for the rainy season (highly polluted, moderately polluted and less polluted sites) and 2 clusters for the dry season (highly polluted and less polluted sites) based on their similarities and the level of pollution during the two seasons. The results show that the main trend of pollution was aggravated during the transition from the dry to the rainy season. The Water Pollution Index of Total Nitrogen is the highest of all pollution parameters, whereas the Chemical Oxygen Demand (Chromium) is the lowest. Our results also show that the main sources of pollution are farming activities alongside the Shanchong River, soil erosion and fish culture at Shanchong River reservoir area and domestic sewage from scattered rural residential area. Our results suggest that strategies to prevent water pollutionat the Shanchong River basin need to focus on non-point pollution control by employing appropriate fertilizer formulas in farming, and take the measures of soil and water conservation at Shanchong reservoir area, and purifying sewage from scattered villages.     

Species assemblages of cyclopoid Copepoda from Mantecal,Venezuela

A 14 year monitoring of species composition and abundance of cyclopoid copepods throughout the rainy and dry seasons in a flooded savanna at Mantecal, Apure State, Venezuela, is presented. Two characteristic habitats within these water bodies were selected: the open center of small ponds free of emergent vegetation and the surrounding flooded grassland. In total, 13 species were registered, all of which appeared in the flooded grassland and 11 of which occurred in the open water. Ten species were common for the two habitats during the dry season. The highest abundance was found in flooded grassland during the dry season. Eight species showed abundances greater than 1.0 individual per liter in flooded grassland during both seasons; 3 and 7 species were this abundant in the open water during rainy and dry seasons, respectively. Mesocyclops meridianus and Microcyclops varicans were the most abundant species in both habitats and seasons, while Thermocyclops decipiens was the dominant species during rainy season in open water. Principal component analysis indicates that the important species were positively correlated between them (sharing habitat and season).     

基于植被信息季节变换的植被覆盖度变化——以福建省连江县为例

基于植被覆盖度的植被信息遥感变化检测已成为研究植被及其相关生态系统变化的主要途径,但由于云覆盖等天气条件的影响,很难获得不同年份同一季节覆盖整个研究区的光学遥感影像来进行植被变化检测,而采用季节差异的影像必然会影响植被变化检测的结果.为此,本研究利用中高分辨率遥感数据的空间分辨率优势和MODIS遥感数据的时间分辨率优势,基于二者关系的拟合,提出一种植被信息季节变换的方法,将不同季节影像的植被覆盖度变换到研究所需的季节上.结果表明: 将该方法应用到福建敖江流域连江片区发现,植被信息变换的效果较好,经过将覆盖研究区的2007年冬季和2013年春季的中高分辨率影像的植被信息统一变换到夏季后,2007年的植被覆盖度由66.5%上升到79.7%,2013年由58.6%上升到77.9%,有效消除了因季节差异而对植被覆盖度估算产生的误差,提高了结果的准确性.