基于像元二分模型的地表植被覆盖度估算模块化设计与实现     

赵威成  张红华  马福义  叶欣 《北京测绘》2020,(3):285-288

地表植被覆盖度是的一种应用广泛的定量遥感产品,在水文、生态、区域变化等方面都具有重要的意义。像元二分模型是应用最多的一种遥感估算地表覆盖度的方法。目前,用遥感的方法进行地表植被覆盖度估算没有完整、系统的工具,用户只能逐步进行操作,效率低下,鉴于上述情况,本文运用IDL交互式数据语言,基于ENVI二次开发了一个植被覆盖度估算程序,取得了一定的成效,对遥感定量产品的生产、应用具有一定意义。  相似文献   

陇中黄土高原丘陵沟壑区不同植被恢复模式下次降雨产流产沙特征   总被引：1，自引：0，他引：1       下载免费PDF全文

朱燕琴  赵志斌  齐广平  康燕霞  赵霞 《干旱区地理》2020,43(4):920-927

基于甘肃省清水县汤峪河径流小区2015—2017年的观测数据,研究不同植被恢复模式条件下坡面次降雨入渗、产流产沙特征。结果表明：不同植被恢复模式条件下的土壤入渗量与降雨强度呈二次函数关系,存在入渗量达到最大值的临界降雨强度。入渗速率与降雨历时可以用幂函数关系表达,符合考斯恰可夫入渗模型。不同植被恢复模式条件下的产流率在0.003 3~0.003 6 mm·min^-1之间,相对裸地的减流率为54%~58%。产流率与降雨强度之间呈二次函数关系（R²>0.88）,产流率的主要影响因素是降雨强度。径流含沙量平均值乔灌混合区（3.13 g·L^-1）>灌木林（2.95 g·L^-1）>乔木林（2.79 g·L^-1）>草地（2.58 g·L^-1）,径流含沙量与降雨强度呈线性递增函数关系。裸地的产沙量显著高于各植被小区（P<0.05）,是各植被小区的43~57倍,各植被小区的减沙率在93%~94%之间,减沙效益高于其减流效益。各植被坡面土壤流失量与降雨侵蚀力呈线性递增函数关系;产流率与侵蚀产沙率之间呈极显著正相关关系（P<0.01）,二者间可采用二次函数关系表达。本研究成果可为黄土高原丘陵沟壑区水土保持优化配置提供理论依据。  相似文献   

大孔隙对径流过程影响的研究进展          下载免费PDF全文

吕海深 《水文》2020,40(1):13-17

大孔隙流是土壤优先流的一种,在植被发育区土壤大孔隙比较常见,对径流形成过程产生重要的影响。介绍了大孔隙流的研究方法,系统总结了近50年植被发育区土壤大孔隙对降雨入渗过程及径流形成过程的影响:从水分入渗的角度,大孔隙可以加快降雨入渗过程;由土壤大孔隙流与山坡产流的关系,大孔隙促进了边坡雨水的运动进而引起了快速产流;世界范围内的研究都表明土壤管流或大孔隙流是径流组分重要贡献者。  相似文献   

基于遗传算法优化BP神经网络的玉米遥感估产方法     

于海洋  陈圣波  杨北萍  安秦 《世界地质》2020,39(1):208-214

以内蒙古自治区开鲁县玉米作物为研究对象,将生育期内玉米遥感影像所提取的多种植被指数和实地采样点的测产数据作为训练值,利用BP(back propagation)神经网络和遗传算法优化BP(GA-BP)神经网络估产模型,得出网络预测的玉米产量数值。通过决定系数R 2和均方根误差RMSE,比较实测产量与预测产量之间的精度,BP神经网络模型R^2为0.8452,RMSE(%)为28.37;遗传算法优化BP神经网络模型R^2为0.9850,RMSE(%)为6.70,表明遗传算法优化BP神经网络估产模型具有一定可行性和可信度。  相似文献   

基于旅游开发影响的五台山植被景观特征分析     

牛莉芹  程占红 《地理研究》2019,38(5):1162-1174

以往旅游对植被影响的评价成果较多,但是旅游影响下植被景观与地理因子之间的关系报道较少。本文利用多种数量生态学方法探讨了五台山旅游开发与植被景观之间的生态关系。结果表明：① 旅游开发影响下五台山植被景观可分为单优乔木区、草本区、差级乔草区、中级乔草区、中级灌草区、良级灌草区、良级乔灌草区、优级乔灌草区、以及寺庙区、商业区或居民区9种类型。② 在除趋势对应分析中,第一轴与所有因子的相关性都较大,第二轴与旅游干扰度和海拔呈显著的负相关性。各植被景观类型的空间分布在一定程度上取决于关键性指标的空间格局。③ 除趋势典范对应分析方法能够大大提高植被景观特征与地理因子间的相关性,并将其直观地表达于排序图中。在植被景观特征与地理因子的关系上,第一轴上的相关系数是0.858_DCCA>0.828_DCA,第二轴上的相关系数是0.583_DCCA>0.501_DCA,这说明除趋势典范对应分析方法更优。  相似文献   

2001-2015年间我国陆地植被覆盖度时空变化及驱动力分析          下载免费PDF全文

赵明伟  王妮  施慧慧  江岭  王春 《干旱区地理》2019,42(2):324-331

本文基于MODIS-NDVI遥感数据反演计算了我国陆地2001—2015年地表植被覆盖度的空间分布，讨论了植被覆盖度的时空变化规律，分析了影响植被覆盖度近十几年来动态变化的主要驱动因素。研究结果表明：我国陆地植被覆盖度从2001—2015年，植被覆盖度总体上呈增加趋势，其中淮河流域、华北平原地区、以及黄土高原地区增加趋势显著。根据植被覆盖度在时间序列上的变化特征，可将其变化类型分为持续增长型、先减小后增长等六种类型，其中农业种植区基本为一直增长型，而主要森林覆盖区，特别是西南地区的植被覆盖度在研究时段内表现出波动性的变化特征。降水是驱动华北平原北部，内蒙古，以及西北大部分区域植被覆盖度动态变化的重要因素，东北、青藏高原等地区植被覆盖度受温度的影响较大，而在中国东南沿海地区，光照条件是影响该区域植被覆盖度的主要因素。  相似文献   

A comparison of the effectiveness of the roots of two grass species in reducing soil erosion on alluvial fans in south-east China     

Fangshi Jiang  Kaiwen He  Jiahui Lin  Hui Li  Zhenzhi Zhan  Jinshi Lin  Hongli Ge  Ming Kuang Wang  Yanhe Huang 《水文研究》2020,34(1):96-110

The effects of root systems on soil detachment by overland flow are closely related to vegetation types. The objective of this study was to quantify the effects of two gramineous roots (Paspalum mandiocanum with shallow roots and Pennisetum giganteum with deep roots) on soil detachment capacity, rill erodibility, and critical shear stress on alluvial fans of benggang in south-east China. A 4-m-long and 0.12-m-wide flume was used. Slope steepness ranged from 9% to 27%, and unit flow discharge ranged from 1.39 × 10⁻³ to 4.19 × 10⁻³ m² s⁻¹. The mean detachment capacities of P. mandiocanum and P. giganteum lands were 18% and 38% lower than that of bare land, respectively, and the effects of root on reducing soil detachment were mainly reflected in the 0- to 5-cm soil layer. The most important factors in characterizing soil detachment capacity were root length density and soil cohesion, and soil detachment capacity of the two grass lands could be estimated using flow shear stress, soil cohesion, and root length density (NSE = 0.90). With the increase in soil depth, rill erodibility increased, whereas shear stress decreased. The mean rill erodibilities of P. mandiocanum and P. giganteum lands were 81% and 61% as much as that of bare land, respectively. Additionally, rill erodibilities of the two grass lands could be estimated as an exponential function by root length density and soil cohesion (NSE = 0.88). The mean critical shear stress of P. mandiocanum and P. giganteum lands was 1.29 and 1.39 times that of bare land, respectively, and it could be estimated with a linear function by root length density (NSE = 0.76). This study demonstrated that planting of the two grasses P. mandiocanum and P. giganteum could effectively reduce soil detachment and enhance soil resistance to erosion on alluvial fans, with the deep roots of P. giganteum being more effective than the shallow roots of P. mandiocanum. The results are helpful for understanding the influencing mechanism of root systems on soil detachment process.  相似文献   

Landsat时序数据支持下的藏东南植被时空变化监测     

王华  杨乾鹏  郭山川  旦增  次仁多吉 《测绘通报》2020,(11):7

本文利用GEE平台和1990—2019年巴宜区Landsat遥感影像，采用像元二分模型、相关性分析等方法分析了巴宜区植被覆盖度的时空变化特征与驱动力。研究结果表明：①1990—2019年巴宜区植被覆盖度总体呈稳中有增的趋势，其中，河谷区域增加明显，而高海拔区域相对稳定；②1990—2019年巴宜区气温呈显著升高，降水略有下降，总体呈“暖干化”，气温较降水量对植被覆盖变化更明显，但气候变化对植被覆盖变化影响总体不明显；③1990—2019年巴宜区植被覆盖变化与人类活动有很好的相关性，其中，低、中低、中、中高植被覆盖区域，呈显著的负相关，而高植被覆盖区域呈正相关。本文基于遥感大数据和地理云计算的植被覆盖监测动态监测和定量分析方法，能对高山峡谷区生态评估和演替分析提供一定的技术支撑和科学数据。  相似文献   

Rapid decrease of soil erosion rates with soil formation and vegetation development in periglacial areas     

Alessandra Musso  Michael E. Ketterer  Konrad Greinwald  Clemens Geitner  Markus Egli 《地球表面变化过程与地形》2020,45(12):2824-2839

High mountainous areas are geomorphologically active environments which are strongly shaped by redistribution of sediments and soils. With the projected climate warming in the twenty-first century and the continued retreat of glaciers, the area of newly exposed, highly erodible sediments and soils will increase. This presents a need to better understand and quantify erosion processes in young mountainous soils, as an increase in erodibility could threaten human infrastructure (i.e. hydroelectric power, tourist installations and settlements). While soil development is increasingly well understood and quantified, a coupling to soil erosion rates is still missing. The aim of this study was, therefore, to assess how soil erosion rates change with surface age. We investigated two moraine chronosequences in the Swiss Alps: one in the siliceous periglacial area of Steingletscher (Sustenpass), with soils ranging from 30 a to 10 ka, and the other in the calcareous periglacial area of Griessgletscher (Klausenpass) with surfaces ranging from age of 110 a to 13.5 ka. We quantified the erosion rates using the ^239+240Pu fallout radionuclides and compared them to physical and chemical soil properties and the vegetation coverage. We found no significant differences between the two parent materials. At both chronosequences, the erosion rates were highest in the young soils (on average 5−10 t ha^-1 a^-1 soil loss). Erosion rates decreased markedly after 3−5 ka of soil development (on average 1−2.5 t ha^-1 a^-1 soil loss) to reach a more or less stable situation after 10−14 ka (on average 0.3–2 t ha^-1 a^-1). Climate change not only causes glacier retreat, but also increased sediment dynamics. Depending on the relief and vegetational development, it takes up to at least 10 ka to reach soil stability. The establishment of a closed vegetation cover with dense root networks seems to be the controlling factor in the reduction of soil erodibility. © 2020 John Wiley & Sons, Ltd.  相似文献   

Monitoring soil surface roughness under growing winter wheat with low-altitude UAV sensing: Potential and limitations     

Nils Onnen  Anette Eltner  Goswin Heckrath  Kristof Van Oost 《地球表面变化过程与地形》2020,45(14):3747-3759

Soil surface roughness (SSR) is an important factor in controlling sediment and runoff generation, influencing directly a wide spectrum of erosion parameters. SSR is highly variable in time and space under natural conditions, and characterizing SSR to improve the parameterization of hydrological and erosion models has proved challenging. Our study uses recent technological and algorithmic developments in capturing and processing close aerial sensing data to evaluate how high-resolution imagery can assist the temporally and spatially explicit monitoring of SSR. We evaluated the evolution of SSR under natural rainfall and growing vegetation conditions on two arable fields in Denmark. Unmanned aerial vehicle (UAV) photogrammetry was used to monitor small field plots over 7 months after seeding of winter wheat following conventional and reduced tillage treatments. Field campaigns were conducted at least once a month from October until April, resulting in nine time steps of data acquisition. Structure from motion photogrammetry was used to derive high-resolution point clouds with an average ground sampling distance of 2.7 mm and a mean ground control point accuracy of 1.8 mm. A comprehensive workflow was developed to process the point clouds, including the detection of vegetation and the removal of vegetation-induced point cloud noise. Rasterized and filtered point clouds were then used to determine SSR geostatistically as the standard deviation of height, applying different kernel sizes and using semivariograms. The results showed an influence of kernel size on roughness, with a value range of 0.2–1 cm of average height deviation during the monitoring period. Semivariograms showed a measurable decrease in sill variance and an increase in range over time. This research demonstrated multiple challenges to measuring SSR with UAV under natural conditions with increasing vegetation cover. The proposed workflow represents a step forward in tackling those challenges and provides a knowledge base for future research. © 2020 John Wiley & Sons, Ltd.  相似文献