星载合成孔径雷达差分干涉测量(D-InSAR)技术在形变监测中的应用概述

本文综述了地球表面形变的主要类型(包括开采沉陷、地表沉降、地壳运动、地震形变、火山运动、冰川运动及山体滑坡等)及其在我国的分布状况，结合合成孔径雷达干涉测量(包括InSAR及D-InSAR，统称InSAR技术)的技术原理及特点，介绍了国内外InSAR技术近年来在形变监测领域的应用与发展。通过与传统形变监测及GPS监测技术的对比后指出，由于InSAR特有的技术特点，使其在各类形变监测应用中具有传统方法无可比拟的技术优势，必将对形变监测的发展起到极大的推动作用。     

3S技术在国外火山减灾中的应用

在参考大量国内外有关应用遥感（ＲＳ）、地理信息系统（ＧＩＳ）、全球定位系统（ＧＰＳ）技术进行火山监测,预测及火山灾害评估等火山减灾文献的基础上,总结了国外火山减灾工作研究的现状和进展,提出火山减灾应大量应用遥感、地理信息系统和全球定位系统等高新技术,且指出未来山减灾工作的方向是综合、系统、实时、动态、立体化和可持续减灾。     

近期阿贡火山(巴厘岛,印尼)喷发警戒等级已升至最高级

印度尼西亚岛链是西南太平洋最为活跃的一条"火链",生活在该火山区的居民数量也为世界之最,阿贡火山就是这条"火链"中最为活跃的火山之一。阿贡火山的喷发周期约为50年,其上一次喷发是在1963年(距今55年)。从2017年8月开始,阿贡火山的地震明显增多,有复苏和再次喷发的前兆,9月份火山警戒等级已升至为Ⅲ级,10月份开始有喷发柱喷出,11月喷发柱急剧上升至4 km并开始有岩浆活动,警戒等级也升至最高级(Ⅳ级)。本文整理分析了当地对阿贡火山的实时监测数据,展示了阿贡火山从开始活动以来,火山地震、形变、地球化学和遥感影像等的监测情况。     

卫星遥感技术在火山灰云监测中的应用

在航空运输业蓬勃发展的背景下,火山喷发形成的火山灰云严重威胁着航空安全.遥感技术能够快速、准确获取地表和大气的变化信息,在火山活动监测中发挥着重要作用,逐渐成为火山灰云监测的重要手段.文中阐述了火山灰云对自然环境和航空安全的危害;以火山灰云遥感监测平台为例,系统地介绍了火山灰云遥感监测的遥感传感器类型和监测方法的发展概况;对中国火山灰云遥感监测的研究基础进行了评述;最后,对火山灰云遥感监测的发展进行了展望和思考.     

星载合成孔径雷达遥感技术的地学应用

合成孔径雷达(SAR)因其具有全天时、全天候成像能力及对地物有一定穿透力等独特的优点,已成为地学研究的一个重要手段．本文对合成孔径雷达成像机理及遥感图像特征做简要介绍,对新兴起的合成孔径雷达干涉测量(INSAR)技术做简要描述,并就SAR在地学研究中的应用领域进行了列举,展示了合成孔径雷达技术在地学研究中的重要作用．     

基于SAR多特征变化检测的震害建筑物提取研究

正强地震引起严重伤亡和财产损失。地震作为一种全灾种的自然灾害,既会导致房屋倒塌、道路中断等直接损失,也会引起一系列次生灾害。相对于光学遥感来说,合成孔径雷达(Synthetic Aperture Radar,SAR)应用于地震灾害的监测与评估具有独特的优势:受雨雪等天气状况影响小、侧视成像能够更为全面地反映建筑物信息。然而,由于传感器、地域的不同,提取方法往往不具有较强的普适性。遥感影像的变化检     

合成孔径雷达干涉测量在地震研究中的应用

介绍了将合成孔径雷达干涉测量（InSAR)用于检测地表形变（地壳形变和火山形变）和应用于地震研究所取得的进展与结果，提出了相关的问题，指出了InSAR在地震研究中的应用前景。     

卫星热红外遥感在火山活动性监测中的应用

介绍了卫星热红外遥感在国内外火山监测研究中的应用现状,结合热红外遥感在地震中的应用成果,对利用卫星热红外遥感监测火山活动的可行性及方法进行了探讨,提出通过火山区热红外亮温旬变、月变和年变模型扣除地形地貌、岩性、植被等地表环境因素的影响,通过火山区和邻近参照区红外亮温差值运算扣除气象因素影响的火山活动性热红外异常提取方法。并以长白山火山为例,利用1999、2003和2004年的NOAA卫星影像资料,对长白山火山及周围地区的热红外影像特征进行了分析解译,对长白山火山区与外围参照区的红外亮温年变差异进行了统计分析。结果表明:1)长白山火山区的红外亮温分布特征在空间上主要受地形控制,总体表现为以天池为中心,向外围逐渐升高的漏斗状,天池则是低温背景上的明显高温标记。在时间上,长白山火山区红外亮温的演变过程主要受季节变化的影响,具有明显的夏高冬低年变特征。2)相对于1999年,2003和2004年长白山火山区均显示出明显的升温趋势,升温幅度可达2K左右。我们认为这可能是近年来天池火山活动性逐年增强的反映。这也意味着利用卫星热红外遥感监测火山活动性将是行之有效的新途径,也是值得深入研究的课题     

喀拉喀托火山喷发过程与巽他海啸成因

介绍了2018年12月22日发生的巽他海峡喀拉喀托火山喷发的过程及其火山监测情况,并提取了欧空局哨兵1A遥感卫星在火山喷发前后的遥感影像,通过遥感影像的对比分析获得了火山锥体的坍塌范围;使用3DAnalyst软件模块对坍塌部分的DEM影像进行分析,计算出海平面以上火山锥体的坍塌体积约为54000000m3,海面以下崩塌锥体体积更加巨大,崩塌导致火山周围水体发生激荡形成海浪,海浪相干传播至周边海岸附近引发了巽他海峡海啸;海啸灾害主要发生在印尼万丹省西冷县和板底兰县西部沿海,与根据火山喷发引发海啸的传播路径推测的受灾地区基本一致。     

利用SBAS-InSAR技术研究印尼Agung火山的形变特征与岩浆房参数

基于ALOS PALSAR影像,利用小基线集合成孔径雷达干涉测量技术,提取了位于印度尼西亚巴厘岛的Agung火山2007 ～ 2009年的地表形变时间序列,并基于Mogi点源模型和竖直椭球体模型反演了岩浆房参数.结果表明:Agung火山地区大气延迟相位干扰较严重,Agung火山在2007～2009年发生了较明显的隆升形变,且与时间呈正相关.竖直椭球体模型能够更好地拟合InSAR形变场,岩浆房位于火山体下方约5 km处.SBAS-InSAR结果表明,应加强跟踪监测Agung火山的潜在喷发危险性.     

利用卫星热红外遥感技术监测长白山天池火山活动性

介绍了卫星热红外遥感技术用于火山监测的国内外研究现状,阐述了热红外遥感技术的原理,分析了卫星热红外遥感技术用于火山活动性监测的可行性。以长白山天池火山为例,基于Landsat TM/ETM影像和ASTER影像反演获得了1999—2008年的温度场,并选取了其中的3种地面覆盖类型(森林植被、土壤和植被(矮草)以及裸露岩石),从而去除了地表环境因素的影响;从每种地面覆盖类型中扣除了当日天池气象站的平均气温,去除了气象因素的影响,得到了由火山热活动可能导致的温度热异常。结果显示,从1999—2005年,由火山活动导致的温度热异常伴随着扰动发生了明显的上升,自2005年以后逐渐下降,2006—2008年趋于稳定。这些结果与测震、GPS形变以及He同位素比值变化趋势保持了较好的一致性,表明卫星热红外遥感技术用于火山活动性监测的巨大潜力和优势,可以作为一种常规的监测手段尝试性地纳入日常的火山监测工作中     

Thermal precursors in satellite images of the 1999 eruption of Shishaldin Volcano

Shishaldin Volcano, Unimak Island Alaska, began showing signs of thermal unrest in satellite images on 9 February 1999. A thermal anomaly and small steam plume were detected at the summit of the volcano in short-wave thermal infrared AVHRR (advanced very high resolution radiometer) satellite data. This was followed by over 2 months of changes in the observed thermal character of the volcano. Initially, the thermal anomaly was only visible when the satellite passed nearly directly over the volcano, suggesting a hot source deep in the central crater obscured from more oblique satellite passes. The "zenith angle" needed to see the anomaly increased with time, presumably as the thermal source rose within the conduit. Based on this change, an ascent rate of ca. 14 m per day for the thermal source was estimated, until it reached the summit on around 21 March. It is thought that Strombolian activity began around this time. The precursory activity culminated in a sub-Plinian eruption on 19 April, ejecting ash to over 45,000 ft. (13,700 m). The thermal energy output through the precursory period was calculated based on geometric constraints unique to Shishaldin. These calculations show fluctuations that can be tied to changes in the eruptive character inferred from seismic records and later geologic studies. The remote location of this volcano made satellite images a necessary observation tool for this eruption. To date, this is the longest thermal precursory activity preceding a sub-Plinian eruption recorded by satellite images in the region. This type of thermal monitoring of remote volcanoes is central in the efforts of the Alaska Volcano Observatory to provide timely warnings of volcanic eruption, and mitigate their associated hazards to air-traffic and local residents.     

The thermal signature of volcanic eruptions on Io and Earth

We investigate a spectrum-based technique to identify the style of active volcanic eruptions on Jupiter's moon Io. Thermal remote sensing of Io has had to rely primarily on low-spatial-resolution data, similar to low-spatial-resolution satellite data applied to detecting and charting the temporal evolution of terrestrial hot spots. These terrestrial analyses use data from sensors designed to monitor the weather and sea surface temperature. On Io, such low-spatial-resolution data are used to classify eruption styles (modes of emplacement) by means of several criteria related to the temporal evolution of the infrared spectrum associated with the eruptive activity at each hot spot, which we term “thermal signature.” We find that the ratio of the emission at 2 and 5 µm, and how this ratio changes with time, is often diagnostic of eruption style, even in low-spatial-resolution data. Tests using thermal data for terrestrial “ground truth” cases show that our classification system is valid on Earth. The results of our analysis can be used to aid in the design of future space-based instruments that can be used for volcano monitoring on Io, as well as Earth.     

卫星遥感热红外辐射与川滇强震探讨

为了使卫星空间监测技术在地震监测预报的应用研究由理论性、实验性阶段进入实用性阶段，进行了探索和尝试。按照地震前兆资料常规处理的格式和要求，对收集的部分卫星遥感热红外辐射观测资料进行了处理。处理过程中使用了包含数据格式转换、数据预处理、异常挑选等内容的计算机工作软件。在此基础上，根据卫星遥感数据资料所具有的二维均匀分布的特性，应用平面和立体的数据图像处理软件，对卫星遥感热红外辐射观测资料的异常场信息进行了研究。同时，开发出了使用卫星遥感热红外辐射观测资料的数据接口软件。卫星空间监测技术的应用将给地震监测预报带来全新的思维方式及更加快捷实用的数据采集、传送、处理和分析方法。     

New remote sensing techniques for the detection and quantification of earth surface CO2 degassing

Earth degassing specifically of carbon dioxide CO₂ is of increasing interest with respect to the global carbon budget, related climate effects, earthquake and volcano eruption mechanisms, as well as plant physiological reactions in gas-rich environments. Investigations in all of these disciplines require the detection of surface CO₂ degassing structures and quantification of their emissions. We introduce minimal thermal change detection based on infrared imaging as a new remote sensing tool for the detection of earth surface thermal anomalies suiting among others to discover earth degassing locations of any origin. The method allows for seamless areal search and monitoring of degassing structures in any terrain. As proof of concept infrared imaging measurements were performed at the Bossoleto vent on the eastern master fault of the Siena Graben (Tuscany, Italy). It is known for the migration of a large amount of CO₂-rich gas from deep geothermal reservoirs. Field data acquired confirmed the qualification of the method. Detection of CO₂ degassing locations from infrared image time series worked reliably and optimal detection conditions were identified (dry, calm, cloudless weather between dusk and dawn). A simple model of heat exchange processes involved and observed was developed. In a first attempt this model was applied to determine the gas exit temperature, the area of gas thermal reach and the gas flux from recorded image series. It is the first method that allows remote areal survey of mofette fields and the associated CO₂ flux quantification sole from infrared image time series.     

Automated system for magnetic monitoring of active volcanoes

In order to provide a basis for short-term decision-making in the forecasting and monitoring of volcanic activity, we developed an entirely automated system of data acquisition and reduction for magnetic data. The system (Mag-Net) is designed to provide monitoring and analysis of magnetic data on Etna volcano at large distances from the central observatory. The Mag-Net system uses data from an array of continuously recording remote stations spread over the volcanic area and linked by mobile phone to the control center at the local observatory. At this location a computer receives the data and performs data sorting and reduction as well as limited evaluation to detect abnormal behavior or breakdown of remote sensors. Communication software, called MagTalk, is also designed to provide data to distant users. With a view to using continuous magnetic observations in advanced analysis techniques for volcano monitoring, the Mag-Net system also delivers two graphical user interface based applications to provide an interpretation capability. The former, called MADAP, speeds up all the data reduction processes in order to evaluate the reliability of magnetic signals. The latter, called VMM, is a procedure for modeling magnetic fields associated with tectonic and volcanic activity to facilitate the identification and interpretation of the sources of a wide spectrum of magnetic signals.     

Patterns in open vent, strombolian behavior at Fuego volcano, Guatemala, 2005–2007

Fuego volcano, Guatemala is a high (3,800 m) composite volcano that erupts gas-rich, high-Al basalt, often explosively. It spends many years in an essentially open vent condition, but this activity has not been extensively observed or recorded until now. The volcano towers above a region with several tens of thousands of people, so that patterns in its activity might have hazard mitigation applications. We conducted 2 years of continuous observations at Fuego (2005–2007) during which time the activity consisted of minor explosions, persistent degassing, paroxysmal eruptions, and lava flows. Radiant heat output from MODIS correlates well with observed changes in eruptive behavior, particularly during abrupt changes from passive lava effusion to paroxysmal eruptions. A short-period seismometer and two low-frequency microphones installed during the final 6 months of the study period recorded persistent volcanic tremor (1–3 Hz) and a variety of explosive eruptions. The remarkable correlation between seismic tremor, thermal output, and daily observational data defines a pattern of repeating eruptive behavior: 1) passive lava effusion and subordinate strombolian explosions, followed by 2) paroxysmal eruptions that produced sustained eruptive columns, long, rapidly emplaced lava flows, and block and ash flows, and finally 3) periods of discrete degassing explosions with no lava effusion. This study demonstrates the utility of low-cost observations and ground-based and satellite-based remote sensing for identifying changes in volcanic activity in remote regions of underdeveloped countries.     

湖泊水情遥感研究进展

湖泊作为最直接的淡水资源之一,在人类的生产、生活各方面都占据至关重要的地位.受到全球气候变化与人类活动的影响,湖泊正在发生急剧变化,因而有必要对其进行快速、准确的时空变化监测,从而为水资源管理与保护、未来气候变化预警提供依据.遥感技术的产生与发展为大范围、实时动态的湖泊变化监测提供了难得的契机,它克服了人类对湖泊实地考察的局限性.本文对现有国内外湖泊水情遥感监测技术与方法进行了综合梳理,主要综述了国内外在湖泊水域范围提取、湖泊水位提取、湖泊水量估算、流域水文过程等方面的遥感研究进展情况,重点总结了该领域近年来提出的新方法和新技术.最后,结合当前遥感技术的发展,对未来遥感在湖泊动态变化监测中的应用潜力和趋势进行了简要论述,并对多源遥感数据融合与云计算平台的结合在地表水体连续变化监测中的应用进行了展望.