四川甲基卡锂矿伟晶岩转石分布区“3定2参”大比例尺填图法及其在青藏高原应用的意义

我国西部地区无论是新疆阿尔泰还是地处青藏高原的西昆仑地区或是松潘-甘孜成矿带,都是我国伟晶岩型矿床找矿远景区,但要么剥蚀严重,要么第四系覆盖,难以找到好的地质露头。本文以地处青藏高原东南缘的川西甲基卡矿田为例,通过近10年来的实践,探索出一套在第四系覆盖严重但又有伟晶岩转石分布地区的填图找矿方法--"3定2参"1∶2000伟晶岩转石填图法,即:定伟晶岩转石类型、尺度、密度,参考矿区内伟晶岩脉产状和地形条件。实践证明,该方法能够快速有效识别伟晶岩转石类型(冰碛物、坡积物和原地或半原地型),并可进一步确定第四系覆盖区内伟晶岩脉的类型、产状及规模,为钻探工程部署提供依据。2019年在甲基卡经8个钻孔验证,在日西柯第四系覆盖区内发现16条花岗伟晶岩脉,其中锂辉石伟晶岩脉10条,实现了新的找矿突破。这一方法同样在可尔因矿集区适用,并指导2019年"松潘-甘孜成锂带锂铍多金属大型资源基地综合调查评价"项目在上述两个地区实施钻探验证,初步探获新增氧化锂资源量超过15万吨,值得进一步推广应用。     

Using visibility analysis to improve point density and processing time of SfM-MVS techniques for 3D reconstruction of landforms

Image network geometry, including the number and orientation of images, impacts the error, coverage, and processing time of 3D terrain mapping performed using structure-from-motion and multiview-stereo (SfM-MVS). Few studies have quantified trade-offs in error and processing time or ways to optimize image acquisition in diverse topographic conditions. Here, we determine suitable camera locations for image acquisition by minimizing the occlusion produced by topography. Viewshed analysis is used to select the suitable images, which requires a preliminary digital elevation model (DEM), potential camera locations, and sensor parameters. One aerial and two ground-based image collections were used to analyse differences between SfM-MVS models produced using: (1) all available images (ALL); (2) images selected using conventional methods (CON); and (3) images selected using the viewshed analysis (VIEW). The resulting models were compared with benchmark point clouds acquired by a terrestrial laser scanner (TLS) and TLS-derived DEMs. The VIEW datasets produced denser point clouds (28–32% more points) and DEMs with up to 66% reduction in error compared with CON datasets due to reduction of gaps in the DEM. VIEW datasets reduced processing time by 37–76% compared with ALL, with no reduction in coverage or increase in error. DEMs produced with ALL and VIEW datasets had similar slope and roughness, while slight differences that may be locally important were observed for the CON dataset. The new method helps optimize SfM-MVS image collection strategies that significantly reduce the number of images required with minimal loss in coverage or accuracy over complex surfaces. © 2020 John Wiley & Sons, Ltd.     

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

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     

卫星遥感海南岛气候特性的研究

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。     

利用高光谱对生物变量进行估计

该文分析了非光合背景物质—土壤光谱信号的特点 ,认为利用对光谱信号进行一阶导数的运算就能对混合光谱中的土壤光谱信号进行压缩 ,由此而得到的生物指数如LAI、SApar等的估计值更能客观地反映实际 ,这对于利用成象光谱进行环境应用有很大的实用价值。     

荒漠草原不同植被盖度区面积对降水的响应

降水波动是气候变化的主要指标之一,其在半干旱荒漠草原区植被变化中起着主要的驱动作用。在考虑到年降水量与生长期降水量的前提下,本文通过地面植被盖度反射光谱模型构建和基于3S技术的区域植被盖度分布格局反演,分析了荒漠草原不同植被盖度分布面积对降水的响应。结果表明:在荒漠草原区,不同植被盖度的区域面积和年降水量、生长期降水量呈波动变化。年降水量和生长期降水量与不同植被盖度区域面积可以拟合成线性、幂函数、指数和对数函数曲线关系。植被盖度小于10%的区域面积随着降水量的增加而下降,植被盖度大于10%区域面积随着降水量的增加而增加,盖度10%是低盖度与高盖度间相互转化阈值。当植被盖度为<2%、2%～6%、10%～15%、15%～20%、20%～25%时,拟合的曲线关系能较好地表达不同植被盖度区域面积随降水量变化的趋势(p< 0.01)。荒漠草原不同植被盖度区域面积的波动变化主要与多根葱、阿尔泰狗娃花、松叶猪尾菜和小画眉草等草本植物生长响应降水变化密切相关。     

柴达木河都兰区植被覆盖率变化特征

柴达木河都兰区位于青海柴达木盆地东南部,干旱少雨,生态环境脆弱。基于MODIS NDVI数据,应用遥感方法,对都兰区2000—2011年的植被覆盖率进行了计算,并分析了其影响因素。结果表明：研究区内裸土和低覆盖率植被的面积逐年减小,而较低覆盖率、中等覆盖率、较高覆盖率及高覆盖率植被的面积均逐年增加;研究区植被覆盖率与降水及相对湿度呈正相关关系,区域植被生长与地下水埋深的关系较为密切;宗加-诺木洪植被区的地下水埋深范围为0.7～3.5 m,在水埋深为1.7 m的地方,植被长势最好;当研究区的地下水水质矿化度小于3 g·L^-1时,植被发育较好。     

Influences of alpine ecosystem degradation on soil temperature in the freezing-thawing process on Qinghai–Tibet Plateau

The alpine ecosystem is very sensitive to environmental change due to global and local disturbances. The alpine ecosystem degradation, characterized by reducing vegetation coverage or biomass, has been occurring in the Qinghai–Tibet Plateau, which alters local energy balance, and water and biochemical cycles. However, detailed characterization of the ecosystem degradation effect is lack in literature. In this study, the impact of alpine ecosystem degradation on soil temperature for seasonal frozen soil and permafrost are examined. The vegetation coverage is used to indicate the degree of ecosystems degradation. Daily soil temperature is monitored at different depths for different vegetation coverage, for both permafrost and seasonal frozen soils. Results show that under the insulating effort of the vegetation, the freezing and thawing process become quicker and steeper, and the start of the freezing and thawing process moves up due to the insulating effort of the vegetation. The influence of vegetation coverage on the freezing process is more evident than the thawing process; with the decrease of vegetation coverage, the integral of frozen depth increases for seasonal frozen soil, but is vice versa for permafrost.     

Effects of rainfall intensity and slope gradient on the application of vetiver grass mulch in soil and water conservation

The objective of this study is to investigate the effect of rainfall intensity and slope gradient on the performance ofvetiver grass mulch (VGM) in soil and water conservation.The study involved field ...