基于 MODIS 数据的吐鲁番盆地 2001—2017 年 植被变化及水热组合影响分析          下载免费PDF全文

庞冉  王文 《干旱区地理》2020,43(5):1242-1252

中国西北干旱地区的气候变化及其对植被的影响一直备受关注。以地形特殊的吐鲁番盆 地为研究对象，利用实测气象站点数据、再分析气象格点数据以及 MODIS 卫星遥感植被指数，采用 趋势检验、线性回归、偏相关分析等方法，探究了该地区 2001—2017 年间的植被变化及其与水热组 合特征之间的关系。结果表明：（1）吐鲁番盆地降水量整体没有显著变化，但北部山区降水增长较 多，气温总体呈显著上升趋势，尤其是盆地底部中心区域增温较大。（2）全区域植被指数（NDVI）总 体呈极显著上升趋势，山区及中心区域 NDVI 增长率较大。（3）受水汽来源和日照时长的影响，吐鲁 番盆地周边山区高程 3 000 m 左右 NDVI 值最高，山区植被最好的坡向是西北坡。（4）吐鲁番盆地水 热组合复杂，水分条件是大部分地区植被生长的主要限制因素，降水与 NDVI 有较好的正相关，在 山区和荒漠区热量增加不利于植被生长，但中心区域受地下水和人类活动影响，水分的供给相对 稳定，热量增加利于植被生长。  相似文献   

2007-2016年四川省土壤干旱时空动态分析     

陈艾琳  戴晓爱  张诗琪  周旋 《山地学报》2020,38(1):31-41

四川作为农业大省,旱灾是导致农业减产最主要的因素。通过遥感和GIS手段进行四川省土壤干旱程度的时空分析,提高干旱的空间可视化程度,加强干旱监测的时效性尤为重要。本研究基于四川省2007—2016年逐季度的MODIS数据和1961—2011年40个气象站的月降水资料,采用温度植被干旱指数(TVDI)计算得到四川省干旱等级分布情况,辅以标准化降雨指数(SPI)进行相关性分析,并通过线性回归、反距离权重空间插值、GIS空间分析模型重建等方法,分析近十年来四川省地区以季度为时间尺度的土壤干旱时空变化特征,制作各时相土壤干旱分布图展示其微变化。结果表明:(1)在月时间尺度上,SPI-1与TVDI呈中等至强负相关关系,即TVDI值越小,SPI值越大,干旱程度越轻;验证结果表明TVDI都能够较好地对四川省的干旱空间分布状况进行反映。(2)四川省各区域、各季节干旱分布不均:空间上,干旱频发的区域集中在四川盆地及攀西南部区域。时间上,在春季,四川盆地区域的土壤干旱程度大致呈现加剧—持续—减缓的趋势;夏季,四川盆地的干旱变化趋势是加剧—减缓—加剧;秋季,四川盆地的干旱变化趋势是加剧—减缓—持续减缓;冬季,全川干旱程度变化不明显。本文的研究结果对四川省开展农业防灾减灾,引导农业灌溉具有指导意义。  相似文献   

基于EVI的中国最近10 a植被覆盖变化特征分析   总被引：1，自引：1，他引：0  

赫英明  刘向培  王汉杰 《气象科学》2017,37(1):51-59

通过对2000—2009年增强型植被指数(EVI)数据的分析发现:在过去的10 a里,中国的植被覆盖度明显增加,植被活动在增强。植被覆盖的年变化和季节变化特征如下:(1)10 a来植被覆盖地区的面积呈增加趋势,植被稀少地区的面积呈减少趋势;(2)无论是植被覆盖区还是全国平均,单位面积EVI年平均值都呈增加趋势;(3)在生长季节(夏季、春季)植被活动增加更明显,EVI增加速率按季节排列如下:夏季春季秋季冬季。植被覆盖的空间变化特征显示,尽管总体上中国植被覆盖呈增加趋势,但存在空间异质性。结合同期的温度、降水和森林资源清查数据,从两个方面初步解释了植被覆盖度增加的原因,即:温度的上升和春季降水量的增加;近年来中国开展的大型林业生态建设工程。  相似文献   

Is remote sensing useful for finding and monitoring urban farms?     

《Applied geography (Sevenoaks, England)》2017

As the world becomes increasingly urbanized, the need for fresh fruits and vegetables in urban areas grows while the difficulty of bringing these perishable products to these areas also increases. Small-scale agriculture located in urban areas is a highly effective and profitable way to provide these products to communities that are far from extensive commercial agricultural areas. Here we describe how remote sensing can be used with data mining approaches to monitor urban and peri-urban farms within cities in both developed and developing countries. Using very high resolution satellite imagery together with moderate and coarse resolution imagery and information from social media and the web, we analyze the usefulness of different methods to identify farms within urban boundaries in four countries. The analysis shows how a mixed-method approach is necessary in order to identify where urban farming is occurring and to monitor its change through time. Although remote sensing-based vegetation and water indices were useful, without ancillary data they are not effective at remotely mapping the locations of urban farms. However, remote sensing is a good way to monitor vegetation condition in locations where actively managed urban farms are known to exist.  相似文献   

科尔沁沙地东南缘近3000年来植被演化与人类活动   总被引：19，自引：1，他引：18  

任国玉 《地理科学》1999,19(1):42-48

在科尔沁沙地东南部,以蒙古栎为代表的乔木花粉从３１００ａＢ．Ｐ．开始显著下降,蒿属和藜科等草本植物花粉逐渐上升,藜科花粉开始上升时间又迟于蒿属花粉。这说明,原业的固定沙丘有一部分首先转化为半固定沙丘,半固定沙丘后来又转变成半流动和流动沙丘。  相似文献   

Mapping Submerged Aquatic Vegetation with GIS in the Caloosahatchee Estuary: Evaluation of Different Interpolation Methods     

Weihe Guan  Robert H. Chamberlain  Bruce M. Sabol  Peter H. Doering 《Marine Geodesy》1999,22(2):69-91

This article evaluates different spatial interpolation methods for mapping submerged aquatic vegetation (SAV) in the Caloosahatchee Estuary, Florida. Data used for interpolation were collected by the Submersed Aquatic Vegetation Early Warning System (SAVEWS). The system consists of hydro-acoustic equipment, which operates from a slow-moving boat and records bottom depth, seagrass height, and seagrass density. This information is coupled with geographic location coordinates from a Global Positioning System (GPS) and stored together in digital files, representing SAV status at points along transect lines. Adequate spatial interpolation is needed to present the SAV information, including density, height, and water depth, as spatially continuous data for mapping and for comparison between seasons and years. Interpolation methods examined in this study include ordinary kriging with five different semivariance models combined with a variable number of neighboring points, the inverse distance weighted (IDW) method with different parameters, and the triangulated irregular network (TIN) method with linear and quintic options. Interpolation results were compared with survey data at selected calibration transects to examine the suitability of different interpolation methods. Suitability was quantified by the determination coefficient (R2) and the root-mean-square error (RMSE) between interpolated and observed values. The most suitable interpolation method was identified as the one yielding the highest R2 value and/or the lowest RMSE value. For different geographic conditions, seasons, and SAV parameters, different interpolation methods were recommended. This study identified that kriging was more suitable than the IDW or TIN method for spatial interpolation of all SAV parameters measured. It also suggested that transect data with irregular spatial distribution patterns such as SAV parameters are sensitive to interpolation methods. An inappropriate interpolation method such as TIN can lead to erroneous spatial representation of the SAV status. With a functional geographic system and adequate computing power, the evaluation and selection of interpolation methods can be automated and quantitative, leading to a more efficient and accurate decision.  相似文献   

Effect of combining biogeotextile and vegetation cover on the protection of steep slope of highway in northern China: A runoff plot experiment     

Hongyuan Liu  Liang Liu  Keli Zhang  Ren Geng 《国际泥沙研究》2023,38(3):387-395

Biogeotextiles can be used to facilitate the formation of vegetation cover and to reduce soil erosion.Studies have demonstrated that only biogeotextile or vegetation cover can greatly reduce soil erosion.However, information about the effects of the combination of biogeotextile and vegetation cover on soil erosion is still limited, despite that the combination is the commonly practical form for bare road slope protection. Experimental plots, consisting of a relatively loose surface layer and a c...  相似文献   

鄱阳湖洲滩湿地植物演替对土壤微生物量的影响     

温秀婷  郑博福  陈晨晨  龚磊强  詹慧英  余定坤  朱致睿  沈瑞昌 《湖泊科学》2024,36(3):881-889

湿地植物演替对土壤微生物量具有显著影响,但不同土壤理化环境下的植物演替对湿地土壤微生物量影响的具体差异还不清楚。以鄱阳湖土壤理化性质不同的4个碟形子湖(包括相对肥沃的东湖和白沙湖以及相对贫瘠的蚌湖和大湖池)为研究对象,运用空间代替时间的方法,在泥滩带、湿生植被带(苔草)和挺水植被带(南荻或芦苇)采集0～10 cm表层土壤,分析不同土壤理化性质条件下植物群落演替对土壤微生物量的影响。采用土壤微生物量碳(MBC)和微生物熵(qMB)指示土壤微生物量。蚌湖、大湖池、东湖和白沙湖洲滩湿地表层土壤MBC的平均值分别为1077.27、888.29、942.45和1162.46 mg/kg,土壤qMB的平均值分别为6.07%、6.17%、3.60%和3.79%。在泥滩—苔草—南荻植物演替洲滩,土壤MBC先增加后减少;但是在泥滩—苔草—芦苇植物演替洲滩,土壤MBC持续增加。植物演替没有显著改变土壤qMB。尽管植物的生长会增加所有洲滩湿地的土壤MBC,但增加的幅度在相对贫瘠的蚌湖和大湖池明显强于相对肥沃的东湖和白沙湖。蚌湖和大湖池的土壤qMB也显著高于东湖和白沙湖。在植被演替梯度上,洲滩湿地土壤MBC和...  相似文献   

A new concept for estimating the influence of vegetation on throughfall kinetic energy using aerial laser scanning     

Johannes Antenor Senn  Fabian Ewald Fassnacht  Jana Eichel  Steffen Seitz  Sebastian Schmidtlein 《地球表面变化过程与地形》2020,45(7):1487-1498

Soil loss caused by erosion has enormous economic and social impacts. Splash effects of rainfall are an important driver of erosion processes; however, effects of vegetation on splash erosion are still not fully understood. Splash erosion processes under vegetation are investigated by means of throughfall kinetic energy (TKE). Previous studies on TKE utilized a heterogeneous set of plant and canopy parameters to assess vegetation's influence on erosion by rain splash but remained on individual plant- or plot-levels. In the present study we developed a method for the area-wide estimation of the influence of vegetation on TKE using remote sensing methods. In a literature review we identified key vegetation variables influencing splash erosion and developed a conceptual model to describe the interaction of vegetation and raindrops. Our model considers both amplifying and protecting effect of vegetation layers according to their height above the ground and aggregates them into a new indicator: the Vegetation Splash Factor (VSF). It is based on the proportional contribution of drips per layer, which can be calculated via the vegetation cover profile from airborne LiDAR datasets. In a case study, we calculated the VSF using a LiDAR dataset for La Campana National Park in central Chile. The studied catchment comprises a heterogeneous mosaic of vegetation layer combinations and types and is hence well suited to test the approach. We calculated a VSF map showing the relation between vegetation structure and its expected influence on TKE. Mean VSF was 1.42, indicating amplifying overall effect of vegetation on TKE that was present in 81% of the area. Values below 1 indicating a protective effect were calculated for 19% of the area. For future work, we recommend refining the weighting factor by calibration to local conditions using field-reference data and comparing the VSF with TKE field measurements. © 2020 The Authors. Earth Surface Processes and Landforms published by John Wiley & Sons Ltd  相似文献   

卫星遥感海南岛气候特性的研究          下载免费PDF全文

王宣吉  凭常恭 《应用气象学报》1994,5(2):184-189

利用NOAA极轨气象卫星的AVHRR资料，研究了海南岛干、湿两季在无云情况下的下垫面短波反射率、植被指数、下垫面温度和射出长波辐射的分布及变化特征。结果表明利用气象卫星资料可以较详细地了解气候形成的主要因素之一——下垫面状况。  相似文献