基于无人机影像的长宁地震建筑物震害提取与成因分析

2019年6月17日,四川省长宁县发生6.0级地震,对当地建筑造成严重的破坏.选取震中长宁县双河镇为研究区,通过获取地震前后的无人机遥感数据,建立无人机遥感解译标志,对地震灾区的建筑物受损情况进行解译.在解译基础上进行无人机遥感建筑物震害提取,获取研究区的灾情信息.将目视解译方法得到的结果和无人机低空视频拍摄的震害结果...     

天津盘山风景名胜区植被覆盖状况

以天津国家级盘山风景名胜区为研究区,利用2004-2007年覆盖天津国家级盘山风景区的中巴资源卫星数据,用主成分变换方法,对原始CCD影像进行提取,与归一化植被指数(NDVI)相结合,进行土地利用/土地覆盖(LULC)的提取。通过研究发现,2007年6月项目区植被面积为85 km2,9月为97 km2,与2004、2005年同期植被面积相比均有较大变化。     

三峡库区土地覆被动态变化遥感分析

利用 1 995年和 2 0 0 0年TM卫星影像资料 ,对三峡库区 5年内的土地覆被动态变化进行了分析。结果表明 ,该时期库区土地覆被的变化主要表现为林地向草地和耕地转化 ,以及耕地向建设用地转化 ;其次是林地向建设用地转化 ,有林地向灌丛转化 ,以及草地向林地转化。土地覆被的这种变化说明 ,三峡库区近几年来生态环境在总体上呈现继续恶化的趋势 ,仅局部地区有所好转。     

用图像识别方法确定福建地震发生的相对概率

在地震危险性分析中,潜在震源区地震活动性参数的确定是关键的一环。为了不低估大地震的影响,恰如基分地将地震年平均发生率分配到带内各个潜在震源之内,准确确定地震带内发生Mj档震级的地震落在第i 个潜在震源区的概率是关键的一步。本文采用图像识别方法确定地震发生的相对概率,可以较客观地反映地震的时、空不均匀性,准确地确定地震带内发生Mj档震级的地震落在第i个潜在震源区的概率。     

Remote Sensing Change Detection and Process Analysis of Long-Term Land Use Change and Human Impacts

This study investigates environmental change over a 30-year period and attempts to gain a better understanding of human impacts on an arid environment and their consequences for regional development. Multi-temporal remotely sensed imagery was acquired and integrated to establish the basis for change detection and process analysis. Land cover changes were investigated in two categories, namely categorical change using image classification and quantitative change using a vegetation index. The results show that human-induced land cover changes have been minor in this remote area. However, the pace of growth of human-induced change has been accelerating since the early 1990s. The analysis of the multi-temporal vegetation index also shows no overall trend of rangeland deterioration, although local change of vegetation cover caused by human activities was noticeable. The results suggest that the current trend of rapid growth may not be sustainable and that the implementation of effective counter-measures for environmentally sound development is a rather urgent matter.     

鄱阳湖湿地出露草洲分布特征的遥感研究

利用鄱阳湖区46景不同时相的Landsat MSS/TM/ETM+遥感影像,分别提取鄱阳湖的出露草洲范围,并假定只要一个时期是出露草洲就属于草洲,形成鄱阳湖湿地草洲潜在分布图,并分析鄱阳湖湿地出露草洲的分布特征。研究结果表明：(1)利用出露草洲面积与星子水文站观测水位得到二者的关系,表明出露草洲分布及范围受水位的影响显著,高水位时,大部分草洲被水淹没;低水位时,出露草洲面积大。此外,也受气象因素、草洲植物生长期的水位过程等因素影响;(2)出露草洲面积的季节变化明显：随水位的升高而减少,随水位的下降而增加;在植被生长期的春季和夏季,出露草洲面积逐渐减少,在秋季和冬季,出露草洲面积却逐渐增加;出露草洲面积最大在1月,最小在7月;(3)鄱阳湖潜在草洲的面积达2 441 km2,草洲可能出现的范围占整个鄱阳湖面积的69.5%     

Spatial and temporal variations in NO2 distributions over Beijing,China measured by imaging differential optical absorption spectroscopy

During the CAREBEIJING campaign in 2006, imaging differential optical absorption spectroscopy (I-DOAS) measurements were made from 08:00 to 16:00 on September 9 and 10 over Beijing, China. Detailed images of the near-surface NO₂ differential slant column density (DSCD) distribution over Beijing were obtained. Images with less than a 30-min temporal resolution showed both horizontal and vertical variations in NO₂ distributions. For DSCD to mixing ratio conversion, path length along the lines of I-DOAS lines of sight was estimated using the light-extinction coefficient and Ångstrom exponent data obtained by a transmissometer and a sunphotometer, respectively. Mixing ratios measured by an in-situ NO₂ analyzer were compared with those estimated by the I-DOAS instrument. The obtained temporal and spatial variations in NO₂ distributions measured by I-DOAS for the two days are interpreted with consideration of the locations of the major NO_x sources and local wind conditions. I-DOAS measurements have been applied in this study for estimating NO₂ distribution over an urban area with multiple and distributed emission sources. Results are obtained for estimated temporal and spatial NO₂ distributions over the urban atmosphere; demonstrating the capability of the I-DOAS technique. We discuss in this paper the use of I-DOAS measurements to estimate the NO₂ distribution over an urban area with multiple distributed emission sources.     

Exploring the capacity of radar remote sensing to estimate wetland marshes water storage

This paper focuses on the use of radar remote sensing for water storage estimation in wetland marshes of the Paraná River Delta in Argentina. The approach followed is based on the analysis of a temporal set of ENVISAT ASAR data which includes images acquired under different polarizations and incidence angles as well as different environmental conditions (water level, precipitation, and vegetation condition). Two marsh species, named junco and cortadera, were monitored. This overall data set gave us the possibility of studying and understanding the basic interactions between the radar, the soil under different flood conditions, and the vegetation structure. The comprehension of the observed features was addressed through electromagnetic models developed for these ecosystems. The procedure used in this work to estimate water level within marshes combines a direct electromagnetic model, field work data specifically obtained to feed the model, the actual ASAR measurements and a well known retrieval scheme based on a cost function. Results are validated with water level evaluations at specific points. A map showing an estimation of the water storage capacity and its error in junco and cortadera areas for the date where the investigation was done is also presented.