基于GF-1卫星的海上溢油定量监测——以青岛溢油事故为例

基于GF-1卫星数据对2013年11月22日青岛黄潍输油管道爆炸造成的海面溢油进行定量监测。研究首先采用2013年11月26日GF-1卫星数据对海面溢油进行提取,其统计面积为0.67 km2;其次,结合肖剑伟提出的油膜厚度单波段反演模型估算油膜厚度,最终计算得到溢油量为0.28 t;最后,对Band 1反射率与油膜厚度结果进行灰度分割,将溢油污染程度分为6级,对比发现两者分级结果较为一致。由此得出,通过反射率直接进行灰度分割可以对溢油污染进行有效的等级评定。     

中国区域DMSP-OLS与NPP-VIIRS夜间灯光影像校正

本文基于对传统不变目标区域校正法的改进,选择4期辐射定标参考影像对DMSP-OLS影像进行了饱和校正与时间序列连续性校正。通过阈值法去除了NPP-VIIRS影像的背景噪声及异常值,利用对数变换压缩了其灯光辐射值的动态范围,使其亮度分布更接近于DMSP-OLS数据。利用BiDoseResp函数模型对NPP-VIIRS影像进行了一致性校正,获得了1992-2019年长时间序列夜间灯光影像。从定性、定量及校正影像与社会经济参量的相关性方面对校正结果进行了精度验证。结果表明,改进后的校正方法改善了DMSP-OLS影像饱和严重的现象,使其获得了长时间序列纵向可比性。BiDoseResp函数模型可以很好地拟合DMSP-OLS和对数变换后的NPP-VIIRS之间的回归。校正后的长时间序列灯光影像数据与社会经济参量高度契合。校正结果对推广长时间序列夜间灯光影像的广泛应用、深化长时间序列科学问题的研究具有重要价值。     

清代云南雨季早晚序列的重建与夏季风变迁

根据以档案为主的历史文献资料逐年进行考订,复原了云南1711~1911年间的雨季早晚序列,并利用多种资料进行了检验。分析表明,云南雨季开始期年际和年代际的波动都较剧烈,还存在年代际尺度以上的长时间尺度波动。雨季开始期从18世纪初逐步转向偏早,19世纪又转向偏迟,到20世纪又偏早,这在一定程度上反映了夏季风的长期变迁。云南雨季开始期存在明显的准3年和11.3年周期,准3年周期可能和El Nino事件的准3年周期有关,11.3年周期明显和太阳活动的11年周期有关。同时发现,El Nino事件对云南雨季的开始期有重要的影响,在El Nino年云南雨季开始期主要为偏迟或正常,但这种影响存在明显减弱的时期,可能意味着ENSO事件对亚洲夏季风的影响存在某种震荡。     

遥感技术在植物物候研究中的应用综述

通过遥感技术研究植物物候现象的机理分析,认为植被指数可反映植被各物候期的特征。国内外在探测植物生长季始末日期、花期变化、净第一性生产力变化、全球碳收支等方面的研究促进了植物物候的发展;同样物候研究也可提高遥感影像植物分类和作物估产的精度,同时可促进高光谱遥感的发展。通过我国物候研究从传统的农林业应用转向注重遥感探测、生态学应用的现状分析,展望了我国物候发展方向：关注植物生长季始末时间的时空分布规律;遥感监测植物季相变化;遥感监测植物花期;注重探讨植物生理和生态特征;植物高光谱遥感物候研究;重视物候科普普及工作。     

中国冷杉、云杉和落叶松属植物的地理分布

根据大量的植被分布资料,利用地理信息系统软件,将经纬度投影的中国地图划分为1×1°的经纬网格,直观地把冷杉、云杉和落叶松3属的植物分布显示在中国地图上,并对其分布及其丰富度进行分析。结果表明,川丁滇北是3属植物共同的现代分布中心;3属植物垂直分布的海拔高度随纬度增加而降低,沿经度方向,由于青藏高原的存在,在经度95～105°E之间存在高度分布极大值,而这种变化趋势由于复杂的生境出现而常常遭到破坏。文章还简要分析了3属植物分布格局的关系以及3属分布格局的地史成因。     

面向“未来地球”计划的陆地表层格局研究

未来地球计划是目前国际上关于全球环境变化前沿研究的综合科学计划,集国际科学理事会(ICSU)所领导的四大科学计划为一体,旨在将自然科学与社会科学结合在一起,并加强决策支持和研究交流,寻求地球系统可持续途径,全球环境变化研究与人类学、社会学合作构建综合集成平台,推进科学研究为社会经济可持续发展服务。本文剖析陆地表层格局特点,分析陆地表层格局的国内外关注焦点及其研究理念的转变与应用领域的拓展。分析表明:陆地表层是未来地球计划关注的重点之一,陆地表层要素与过程相互作用并在人类活动驱动下形成的格局,可作为未来地球计划进一步研究的区域基础框架。未来,陆地表层格局研究应力求方法论的突破,为自然地理学综合研究的发展提供支撑。     

Agriculture development-induced surface albedo changes and climatic implications across northeastern China

To improve the understandings on regional climatic effects of past human-induced land cover changes,the surface albedo changes caused by conversions from natural vegetation to cropland were estimated across northeastern China over the last 300 years,and its climatic effects were simulated by using the Weather Research and Forecasting (WRF) model.Essential natural vegetation records compiled from historical documents and regional optimal surface albedo dataset were used.The results show that the surface albedo decreased by 0.01-0.03 due to conversions from grassland to cropland in the Northeast China Plain and it increased by 0.005-0.015 due to conversions from forests to cropland in the surrounding mountains.As a consequence,in the Northeast China Plain,the surface net radiation increased by 4-8 W/m 2,2-5 W/m 2,and 1-3 W/m 2,and the climate was therefore warmed by 0.1℃-0.2℃、0.1℃-0.2℃、 0.1℃-0.3 ℃ in the spring,autumn and winter,respectively.In the surrounding mountain area,the net radiation decreased by less than 1.5 W/m 2,and the climate was therefore cooled too slight to be detected.In summer,effects of surface albedo changes on climate were closely associated with moisture dynamics,such as evapotranspiration and cloud,instead of being merely determined by surface radiation budget.The simulated summer climatic effects have large uncertainties.These findings demonstrate that surface albedo changes resulted in warming climate effects in the non-rainy seasons in Northeast China Plain through surface radiation processes while the climatic effects in summer could hardly be concluded so far.     

极干旱区稀疏荒漠植被地上生物量遥感估算

以库姆塔格沙漠南部阿尔金山北麓山前戈壁区为研究区,借助无人机影像数据准确提取植被覆盖区;采用高空间分辨率WorldView-3数据的估算结果对中空间分辨率Landsat-OLI数据的估算结果进行修正;选取红光反射率波段(RED)、近红外反射率波段(NIR)、比值植被指数(RVI)、归一化植被指数(NDVI)和修正土壤调...     

Evaluation of multidecadal and longer-term temperature changes since 850 CE based on Northern Hemisphere proxy-based reconstructions and model simulations

The temperature variability over multidecadal and longer timescales(e.g., the cold epochs in the late 15 th, 17 th, and early 19 th centuries) is significant and dominant in the millennium-long, large-scale reconstructions and model simulations;however, their temporal patterns in the reconstructed and simulated temperature series are not well understood and require a detailed assessment and comparison. Here, we compare the reconstructed and simulated temperature series for the Northern Hemisphere(NH) at multidecadal and longer-term timescales(30 years) by evaluating their covariance, climate sensitivity and amplitude of temperature changes. We found that covariances between different reconstructions or between reconstructions and simulations are generally high for the whole period of 850–1999 CE, due to their similar long-term temporal patterns. However,covariances between different reconstructions or between reconstructions and simulations steadily decline as time series extends further back in time, becoming particularly small during Medieval times. This is related to the large uncetainties in the reconstructions caused by the decreased number of proxy records and sample duplication during the pre-instrumental periods.Reconstructions based solely on tree-ring data show higher skill than multiproxy reconstructions in capturing the amplitude of volcanic cooling simulated by models. Meanwhile, climate models have a shorter recovery(i.e., lag) in response to the cooling caused by volcanic eruptions and solar activity minima, implying the lack of some important feedback mechanisms between external forcing and internal climate processes in climate models. Amplitudes of temperature variations in the latest published tree-ring reconstructions are comparable to those of the multiproxy reconstructions. We found that the temperature difference between the Medieval Climate Anomaly(950–1250 CE) and the Little Ice Age(1450–1850 CE) is generally larger in proxybased reconstructions than in model simulations, but the reason is unclear.