Geometric and radiometric evaluation of Resouresat-1 sensors

Resourcesat-1, launched in October 2003, is the 10th in the series of Indian Remote Sensing satellites built by the Indian Space Research Organization. Resourcesat-1, also known as IRS-P6, provides continuity to applications developed using data from IRS-1C and IRS-1D satellites. It also offers newer applications owing to enhanced capabilities of the sensors. The satellite contains three different imaging sensors: LISS-IV, with a ground sampling distance (GSD) of 5.8 m; LISS-III, with a GSD of 23.5 m; and AWiFS, with a GSD of 56 m at nadir. This paper provides data quality evaluation of the Resourcesat-1 sensors in terms of geometric and radiometric qualities. It is found that the sensors onboard Resourcesat-1 spacecraft has met all the mission set specifications and will help to generate data products with the required image geolocation and radiometric quality.     

Evaluation and use of Resourcesat-I data for agricultural applications

Resourcesat-1 satellite offers a unique opportunity of simultaneous observations at three different spatial scales through LISS-IV, LISS-III^* (improved LISS-III) and AWiFS sensors from a common platform. The sensors have enhanced capabilities in terms of spectral, spatial and radiometric resolution as compared to earlier Indian Remote sensing Satellite sensors. This paper summarizes the results of various studies such as evaluation of sensor characteristics, inter-sensor comparison studies, derivation and validation of surface reflectance measurements, quantification of improvements due to Resourcesat-1 sensors, and their use for various agricultural applications. The studies presented in this paper demonstrate that suit of sensors onboard Resourcesat-1 satellite provides better prospects for several agricultural applications like crop identification, discrimination and crop inventory for some major Indian crops, than its predecessors on IRS satellites.     

Compositional and geochemical characteristics of light hydrocarbons for typical marine oils and typical coal-generated oils in China

Different types of crude oils have different light hydrocarbon compositional and geochemical characteristics. Based on the light hydrocarbon data from two kinds of oils, i.e., coal-generated oils and marine oils in China, light hydrocarbons in marine oils in the Tazhong area are generally relatively enriched in n-heptane, and coal-generated oils from the Turpan Basin are enriched in methylcyclohexane. The K1 values, reported by Mango （1987）, range from 0.97 to 1.19 in marine oils, basically consistent with what was reported by Mango on light hydrocarbons in terms of the majority of the crude oil data. But the K1 values of coal-generated oils are particularly high （1.35-1.66） and far greater than those of marine oils; heptane values in marine oils, ranging from 32.3% to 45.4%, and isoheptane values, ranging from 1.9 to 3.7, are respectively higher than those of coal-generated oils, indicating that the oils are in the high-maturity stage. In addition, expulsion temperatures of coal-generated oils from the Turpan Basin are obviously lower than those of marine oils from the Tazhong area.     

珠江口盆地珠一坳陷古近系构造样式分析

研究分析了近年来构造样式的研究现状和新的进展,结合珠江口盆地珠一坳陷张性构造环境下构造发育的特点,建立了利用三维空间构造信息的构造样式划分方案。据此对珠一坳陷的各类构造样式进行了研究。根据盆地(坳陷)结构、断层组合及动力学机制,将珠一拗陷构造样式划分为断块与板式正断层组合构造,断块与铲式正断层组合构造,转换带构造,潜山披覆构造,底辟构造和重力背形构造等6大类13小类。研究还指出了基于构造样式的油气有利聚集部位及勘探方向。     

Sentinel-1 observations of the 2016 Menyuan earthquake: A buried reverse event linked to the left-lateral Haiyuan fault

Knowledge on the interaction of active structures is essential to understand mechanics of continental deformation and estimate the earthquake potential in complex tectonic settings. Here we use Sentinel-1A radar imagery to investigate coseismic deformation associated with the 2016 Menyuan (Qinghai) earthquake, which occurred in the vicinity of the left-lateral Haiyuan fault. The ascending and descending interferograms indicate thrust-dominated slip, with the maximum line-of-sight displacements of 58 and 68 mm, respectively. The InSAR observations fit well with the uniform-slip dislocation models except for a larger slip-to-width ratio than that predicted by the empirical scaling law. We suggest that geometric complexities near the Leng Long Ling restraining bend confine rupture propagation, resulting in high slip occurred within a small area and much higher stress drop than global estimates. Although InSAR observations cannot distinguish the primary plane, we prefer the west-dipping solution considering aftershocks distribution and the general tectonic context. Both InSAR modelling and aftershock locations indicate that the rupture plane linked to the Haiyuan fault at 10 km depth, a typical seismogenic depth in Tibet. We suggest that the earthquake more likely occurred on a secondary branch at a restraining bend of the Haiyuan fault, even though we cannot completely rule out the possibility of it being on a splay of the North Qilian Shan thrusts.     

基于高分一号用于植被信息提取的假彩色数字正射影像制作方案研究

对如何利用高分一号卫星数据制作假彩色数字正射彩色影像图进行了研究,基于高分一号利用432波段组合,可以突出地显示出植被信息,处理成果纹理细节清晰,无明显噪声,高分一号数据制作的标准假彩色数字正射影像图可以保证数据成果色彩分明,植被提取和解译精度高。     

地理国情监测与1∶50000地形数据库更新两者之间的作业模式相关性研究

结合地理国情监测与1∶50 000地形数据库更新的各作业工序,将可协同作业的部分提炼出来,以期为两个项目的顺利开展提供技术支撑。     

基于大气温度和水汽含量改进HJ-1B地表温度反演

为了提高地面气象站稀少地区地表温度遥感反演的精度,本文基于多源遥感数据的优势,首先利用MODIS影像获取研究区像元尺度上平均大气水汽含量;然后利用同时相的HJ-1B影像估算区域地表比辐射率,再采用温度-植被指数法获取近地表大气温度;最后将以上3个参数输入单窗体算法,改进其地表温度反演的精度。研究结果表明,改进单窗体算法反演地表温度与地面实测温度的偏差小于1 K,为地面气象站点稀少的植被覆盖区域提供了一种可行的精确遥感反演地表温度方法。     

基于NDWI与改进型FCM相结合的高分一号影像水域信息提取方法研究

鉴于采用传统方法在提取高分辨率影像水域信息存在不足,本文以高分辨率国产卫星高分一号宽幅16 m空间分辨率多光谱影像为数据源,以浙江省钱塘江流域为研究区域,通过预先对影像进行NDWI处理,在此基础上利用改进FCM聚类算法实现了水域信息的自动提取,并与传统的NDWI和ISODATA分类方法提取结果进行比较。结果表明,该方法在分类效果和精度方面均优于传统分类方法,作为国产高分一号影像水域信息自动提取方法是可行的。     

基于landsat 8-OLI/TIRS和HJ-1B太湖叶绿素含量和温度反演研究

水体的表面温度是研究环境气候变化的一个重要参数,同时,也是研究生物物理过程的一个不可或缺的因子。卫星遥感对大面积水体表面温度的监测有着传统的测量手段无法比拟的效率。水体表面的温度变化不仅对水中生物的生存有着重要的意义,同时,水温的变化也常常会导致水中浮游生物和植物疯长,进而引起水资源的污染,对人们的生活造成严重的影响。本文利用ENVI/IDL 5.1对Landsat 8卫星的OLI/TIRS数据和HJ-1CCD多光谱数据在太湖水体区域开展了其在温度反演和叶绿素含量的监测等领域的研究。研究结果表明:1)使用HJ_1B反演的结果和Landsat 8反演的结果呈现一致性。2)通过实测的数据和反演数据建立了模型并通过同名点实测数据对实验结果进行了验证,证明了建立的模型的可靠性,找到了误差来源。最后分析了造成叶绿素含量较高的原因及反演的难点。