An evaluation of Guided Regularized Random Forest for classification and regression tasks in remote sensing

New Earth observation missions and technologies are delivering large amounts of data. Processing this data requires developing and evaluating novel dimensionality reduction approaches to identify the most informative features for classification and regression tasks. Here we present an exhaustive evaluation of Guided Regularized Random Forest (GRRF), a feature selection method based on Random Forest. GRRF does not require fixing a priori the number of features to be selected or setting a threshold of the feature importance. Moreover, the use of regularization ensures that features selected by GRRF are non-redundant and representative. Our experiments based on various kinds of remote sensing images, show that GRRF selected features provides similar results to those obtained when using all the available features. However, the comparison between GRRF and standard random forest features shows substantial differences: in classification, the mean overall accuracy increases by almost 6% and, in regression, the decrease in RMSE almost reaches 2%. These results demonstrate the potential of GRRF for remote sensing image classification and regression. Especially in the context of increasingly large geodatabases that challenge the application of traditional methods.     

Palaeotemperature reconstructions of the European permafrost zone during marine oxygen isotope Stage 3 compared with climate model results

A palaeotemperature reconstruction based on periglacial phenomena in Europe north of approximately 51 °N, is compared with high‐resolution regional climate model simulations of the marine oxygen isotope Stage 3 (Stage 3) palaeoclimate. The experiments represent Stage 3 warm (interstadial), Stage 3 cold (stadial) and Last Glacial Maximum climatic conditions. The palaeotemperature reconstruction deviates considerably for the Stage 3 cold climate experiments, with mismatches up to 11 °C for the mean annual air temperature and up to 15 °C for the winter temperature. However, in this reconstruction various factors linking climate and permafrost have not been taken into account. In particular a relatively thin snow cover and high climatic variability of the glacial climate could have influenced temperature limits for ice‐wedge growth. Based on modelling the 0 °C mean annual ground temperature proves to be an appropriate upper temperature limit. Using this limit, mismatches with the Stage 3 cold climate experiments have been reduced but still remain. We therefore assume that the Stage 3 ice wedges were generated during short (decadal time‐scale) intervals of extreme cold climate, below the mean temperatures indicated by the Stage 3 cold climate model simulations. Copyright © 2003 John Wiley & Sons, Ltd.     

New fusulinids of the Moscovian Stage found in Iran

The described fusulinids of the Moscovian Stage are found in the Asad-Abad section of the Sanandaj-Sirjan tectonic zone of Iran. Five successive fusulinid assemblages are distinguished. Three lower of them belong to the Kashirian Substage, the other two to the Podolskian Substage. The section studied is correlated with most complete sections of the Moscovian Stage in the western Tethys. Two new species Fusulinella (Moellerites) pygmea and Putrella primaris are identified; in addition to nominative taxon, the latter includes new subspecies P. primaris compacta.     

测井资料在碳酸盐岩储层评价中的应用

以塔河油田碳酸盐岩储集层基本特征为依据，利用常规和能谱测井资料信息比值法和重叠法等技术．致力于储集层缝、孔、洞测井响应特征敏感性评价研究，从中提取8项储层敏感性参数，并对其进行综合评判，确定出划分储层类别的标准，经过50口井的测试资料验证，采用多参数综合评判来划分储层类别是可行的，对储层的评价效果较好，使常规测井资料得到了更深入、广泛的应用。     

上饶市2000年6月22～23日连续暴雨过程浅析

对上饶市2000年6月22～23日连续暴雨的形势场以及卫星云图进行了分析,得出了一些有益的结论。     

震旦纪陡山沱期凝源类Tianzhushania属研究进展

大型具刺疑源类TianZhushania的属名源于湖北长阳天柱山地区，模式标本最早发现于震旦系统陡山沱组的燧石结核中（岩石薄片）。本文综合了20多年来国内外有关该属的报道和研究，并结合最近笔者对贵州瓮安地区震旦系陡山沱组硅化保存的Tianzhushania tuberifera Yin,Gan and Xing2001与磷酸盐化保存的球状实体化石Megasphaera ornata Xiao and Knoll2000之间关系的最新研究结果，对大型具刺疑源类Tianzhushania属的形态特征，巳定种的地理分布，地层意义和可能的亲缘关系等问题进行探讨。     

云南泸沽湖畔石炭系-二叠系生物地层再研究

着重讨论沪沽湖畔相当于石炭系(三分)上统马平阶地层的划分和对比。认为其大部属于我国二叠系(三分)的下二叠统紫松阶(阿瑟尔阶—萨克马尔阶)，上部的硅质页岩已进入隆林阶(亚丁斯克阶)。根据岩性特征及古生物混生现象，推测除顶部外，大部为斜坡相沉积。其中的部分生物应是再沉积产物。     

北京石花洞的区域地质意义

在全国范围内，北京石花洞的层数最多，次生化学沉积物的叠置关系明显。该洞的大形态反映了北京西山新构造运动的历史，可以同华北地文斯和永定河阶地对比。洞内次生化学沉积物记录了中更新世以来，西山地区古环境变化的信息，可以和周口店洞穴中碎屑堆积物进行对比。     

塔中地区油气运聚特征

塔中地区主要受塔中Ⅰ号、Ⅱ号及Ⅲ号三条大断层控制 ,形成巨型复式背斜 ,隆起高部位地层遭受了强烈的风化剥蚀。背斜之上 ,断裂和局部构造发育。可划分出两个主要成藏期 :第Ⅰ成藏期为寒武系—下奥陶统烃源岩成熟生烃运移期 ,生排烃高峰为志留纪 ;第Ⅱ成藏期为中—上奥陶统烃源岩在燕山期—喜马拉雅期成熟生烃运聚。第Ⅰ成藏期形成的油藏有两个特征 :在塔中Ⅰ号断裂带、北部斜坡带油气注入奥陶系及志留系圈闭中 ,形成原生油气藏 ;构造高部位 (如中央断垒带 )的油气藏在后期构造运动中遭受破坏。第Ⅱ成藏期形成的油藏可分为两类 :对早期油藏的再次充注 ;聚集形成新油藏。塔中地区的油气运移通道主要有断裂和不整合面 ,油气的分布也主要受断裂和不整合面所控制。塔中Ⅰ号构造带和北部斜坡带是较为有利的勘探区带     

Karst database development in Minnesota: design and data assembly

The Karst Feature Database (KFD) of Minnesota is a relational GIS-based Database Management System (DBMS). Previous karst feature datasets used inconsistent attributes to describe karst features in different areas of Minnesota. Existing metadata were modified and standardized to represent a comprehensive metadata for all the karst features in Minnesota. Microsoft Access 2000 and ArcView 3.2 were used to develop this working database. Existing county and sub-county karst feature datasets have been assembled into the KFD, which is capable of visualizing and analyzing the entire data set. By November 17 2002, 11,682 karst features were stored in the KFD of Minnesota. Data tables are stored in a Microsoft Access 2000 DBMS and linked to corresponding ArcView applications. The current KFD of Minnesota has been moved from a Windows NT server to a Windows 2000 Citrix server accessible to researchers and planners through networked interfaces.