全球降水计划IMERG和GSMaP反演降水在四川地区的精度评估

IMERG和GSMaP是全球降水计划（GPM）时代最主要的高分辨率降水产品。为研究其在中国四川地区的适用性,以中国气象局提供的自动气象站融合降水数据为参考基准,采用6种统计指数分析了IMERG（IMERG_Uncal, IMERG_Cal）和GSMaP（GSMaP_MVK, GSMaP_Gauge）系列产品在四川的误差特征。结果表明：① 在日和小时尺度上,GSMaP系列产品均高估地面降水观测,GSMaP_MVK高估最显著,校正产品GSMaP_Gauge的相关系数（CC）、相对偏差（BIAS）和均方根误差（RMSE）较GSMaP_MVK均有较大提高,尤其对川西高原降水的高估现象改善明显,而IMERG_Uncal存在低估川西高原降水、轻微高估四川盆地降水的问题,校正产品IMERG_Cal一定程度上降低了对川西高原降水的低估现象,但整体精度（CC, RMSE）提高不明显。② IMERG系列产品对降水事件的探测准确性更好,GSMaP_Gauge虽然在四川表现出较高的命中率（POD）,但存在较多的误报降水,在盆地和四川南部各产品均表现出较高的POD和关键成功指数（CSI）以及低误报率（FAR）,而四川西北部表现最差,尤其是在无自动站分布地区。③ 4套降水产品中,IMERG_Cal表现出最好的探测强降水和弱降水的能力,具有一定的监测极端降水的潜力。总体上,IMERG和GSMaP在盆地的反演精度优于高原山区,校正产品精度优于纯卫星产品,不同地形地区精度差异明显,表明对卫星降水产品进行不同地形误差订正仍是未来降水反演工作的重点和难点。     

基于MODIS的2006-2016年西藏生态质量综合评价及其时空变化

针对缺少基于遥感数据产品的西藏地区植被生态参数筛选及综合评价的研究现状,以2006年和2016年西藏地区MODIS卫星遥感产品反演得到的植被覆盖度、叶面积指数、植被总初级生产力、区域热度与改进的湿度5项指标为基础,提出了基于主成分分析法的西藏植被生态环境质量评价方法,并探索了其时空变化规律及机理。结果表明：① 西藏地区植被生态质量整体较为脆弱,且区域差异明显,呈现东南优、西北差的分布格局。② 2006-2016年间西藏地区植被生态质量总体呈现变好的趋势。在时间序列上,2006-2016年间改善、退化的区域占比分别为31.88%和4.13%;在空间分布上,变好的区域分布在西北、中部和东部,变差的区域集中在东南部。③ 水热状况改善特别是降水量的增加和人为保护政策使得研究区西部和中部地区生态质量有所提高。社会经济活动加强是研究区东南部生态质量变差的主要原因。     

植被光合有效辐射吸收比率遥感研究进展

植被光合有效辐射吸收比率FPAR（Fraction of absorbed Photosynthetically Active Radiation）反映了植被冠层的光学特性,是表征植被光合作用水平和生长状态的重要参量,因此成为全球变化研究中多种过程模型的重要输入参数。随着定量遥感研究的深入和新型传感器的使用,从区域到全球尺度上的FPAR遥感估算方法不断提出,多样化的遥感FPAR产品越来越多地应用于碳循环、能量循环、生产力估算及作物估产等研究领域。本文梳理了遥感估算的植被光合有效辐射的相关概念和算法,并着重对过去十年间遥感估算FPAR的新进展进行了系统总结和探讨。研究表明,近年来FPAR遥感的研究工作一方面聚焦于对现有算法的改进与各类型产品的验证,更多的研究则侧重于FPAR概念体系的拓展,叶片、叶绿素水平的FPAR估算,直射光、散射光的FPAR建模等新方向逐渐成为研究热点。     

CBERS-02B星模拟数据增值产品生产潜力评估

以CBERS-02B星传感器指标的模拟数据为例,从数据融合产品、正射影像产品、反射率产品和去相关产品等方面对该星数据的增值产品生产潜力进行评价。该评估结果可为02B星数据在国土资源领域的应用提供一定的参考和指导作用。     

MODIS产品估算复杂地形下的光合有效辐射

提出基于MODIS大气和地表产品反演高精度复杂地形下的光合有效辐射模型。该方法是对普通的大气传输模型进行简化, 在模型中分别考虑了削减光合有效辐射的5个主要因子: 瑞利散射、臭氧和水汽吸收、气溶胶散射以及地表和大气间的多次反射。从3个方面考虑了复杂地形对于光合有效辐射的影响: (1) 坡度和坡向; (2) 天空可视角; (3) 邻近地形的附加辐射。提取2006年晴空条件下的估算结果与中国生态网络山东禹城站和长白山站的实测值的比较, 得到相关系数分别为0.924和0.9, 表明模型反演结果能够较好地解译实际光合有效辐射的变化。通过比较考虑地形和不考虑地形2种情况得到的光合有效辐射, 定量地分析了地形对光合有效辐射的影响。     

我国矿产资源及矿产品供需形势与建议

为了让国内地质矿产勘查和矿业经济部门及时了解我国矿产资源及矿产品供需形势,介绍了“2006中国矿产资源及矿产品供需形势分析报告会”的内容要点。着重对2006年前三季度我国矿产品供需形势进行了深入分析。根据我国矿产资源的主要特点、矿产品供需形势及存在的问题,提出了若干建议。     

Anomaly Detection in MODIS Land Products via Time Series Analysis

With remote sensing information products becoming increasingly varied and arguably improved, scientific applications of such products rely on their quality assessment. In an operational context such as the NASA (National Aeronautics and Space Administration) information production based on the MODIS (Moderate Resolution Imaging Spectroradiometer) instrument on board Earth Observing System (EOS) Terra and Aqua satellites, efficient ways of detecting product anomaly, i.e., to discriminate between product artifacts and real changes in Earth processes being monitored, are extremely important to assist and inform the user communities about potential unreliability in the products. A technique for anomaly detection, known as MAD (the median of absolute deviate from the median), in MODIS land products via time series analysis is described, which can handle intra- and in-ter-annual variation in the data by using MAD statistics of the original data and their first-order difference. This method is shown to be robust and work across major land products, including NDVI, active fire, snow cover, and surface reflectance, and its applicabil-ity to multi-disciplinary products is anticipated.     

An assessment of Bernese GPS software precise point positioning using IGS final products for global site velocities

We assess the use of precise point positioning (PPP) within the Bernese GPS software (BSW) Version 5.0 over the period from 2000 to 2005. In our strategy, we compute a set of daily PPP solutions for international GNSS service (IGS) reference frame (IGb00) sites by fixing IGS final satellite orbits and clock products, followed by a Helmert transformation of these solutions into ITRF2000, forming a set of continuous position time series over the entire time span. We assess BSW PPP by comparing our set of transformation parameters with those produced by the IGS analysis centre coordinator (ACC) and our position time series with those of the Jet Propulsion Laboratory (JPL) and the Scripps Orbit and Permanent Array Centre at the Scripps Institute of Oceanography (SIO). The distributions of the north (N), east (E) and up (U) daily position differences are characterized by means and SD of +2.2 ± 4.8, −0.6 ± 7.9 and +4.8 ± 17.3 mm with respect to JPL, and of +0.1 ± 4.4, −0.1 ± 7.4 and −0.1 ± 11.8 mm with respect to SIO. Similarly, we find sub-millimetre mean velocity differences and SD for the N, E and U components of 0.9, 1.5 and 2.2 mm/year with JPL, and of 1.2, 1.6 and 2.3 mm/year with SIO. A noise analysis using maximum likelihood estimation (MLE) shows that when estimating global site velocities from our position time series, the series need to be on average up to 1.3 times longer than those of JPL and SIO, before an uncertainty of less than 0.5 mm/year is obtained.     

Accuracy assessment of the MODIS snow products

A suite of Moderate‐Resolution Imaging Spectroradiometer (MODIS) snow products at various spatial and temporal resolutions from the Terra satellite has been available since February 2000. Standard products include daily and 8‐day composite 500 m resolution swath and tile products (which include fractional snow cover (FSC) and snow albedo), and 0·05° resolution products on a climate‐modelling grid (CMG) (which also include FSC). These snow products (from Collection 4 (C4) reprocessing) are mature and most have been validated to varying degrees and are available to order through the National Snow and Ice Data Center. The overall absolute accuracy of the well‐studied 500 m resolution swath (MOD10_L2) and daily tile (MOD10A1) products is ～93%, but varies by land‐cover type and snow condition. The most frequent errors are due to snow/cloud discrimination problems, however, improvements in the MODIS cloud mask, an input product, have occurred in ‘Collection 5’ reprocessing. Detection of very thin snow (<1 cm thick) can also be problematic. Validation of MOD10_L2 and MOD10A1 applies to all higher‐level products because all the higher‐level products are all created from these products. The composited products may have larger errors due, in part, to errors propagated from daily products. Recently, new products have been developed. A fractional snow cover algorithm for the 500 m resolution products was developed, and is part of the C5 daily swath and tile products; a monthly CMG snow product at 0·05° resolution and a daily 0·25° resolution CMG snow product are also now available. Similar, but not identical products are also produced from the MODIS on the Aqua satellite, launched in May 2002, but the accuracy of those products has not yet been assessed in detail. Published in 2007 by John Wiley & Sons, Ltd.     

Application of LPW and SAI SAFNWC/MSG satellite products in pre-convective environments

The Spinning Enhanced Visible and Infrared Imagery (SEVIRI) instrument, on board the Meteosat Second Generation (MSG), is a radiometer with eight infrared (IR) spectral bands. Seven of these channels are used to retrieve Layer Precipitable Water (LPW) and Stability Analysis Imagery (SAI). Both products are the PGE07 and the PGE08 of SAFNWC (Satellite Application Facility on support to Nowcasting and Very Short-Range Forecasting). The authors at Instituto Nacional de Meteorología (INM) have developed the LPW and SAI algorithms, in the SAFNWC framework. Both products are retrieved using statistical retrieval based on neural networks. The main advantage of these algorithms versus physical retrieval algorithms is the independence from the Numerical Weather Prediction (NWP) models. The LPW provides information on the water vapor contained in a vertical column of unit cross-section area in three layers in the troposphere (low, middle and high) and in the total layer in cloud free areas. The SAI provides estimations of the atmospheric instability in cloud free areas, in particular the Lifted Index (LI).The stability and precipitable water obtained with both products are routinely generated every 15 min at a satellite horizontal resolution of 3 km in NADIR. A significant advantage of these MSG products, compared to traditional measurements such as radiosondes, is their ability to measure high resolution temporal and spatial variations of atmospheric stability and moisture in pre-convective environments. The main disadvantage is that they do not have the vertical resolution of radiosonde. The MSG moisture and stability time trend fields are especially useful during the period preceding the outbreak of convection due to the high resolution. Once the outbreak of convection occurs, the products calculated in the clear air pixels surrounding the convective system will allow to foresee the evolution of the convection.