环境遥感监测技术进展

分析了目前国内外遥感技术在环境监测中的应用进展,综述了遥感技术在大气环境监测、水污染监测、海洋监测、地表监测、固体废弃物监测中的应用情况及技术特点,指出了遥感技术应用于环境监测存在的关键问题和研究方向.     

千将坪滑坡特征信息遥感提取及滑坡成因机理分析

2003年7月13日,三峡库区湖北省秭归县沙镇溪镇千将坪村发生特大型滑坡灾害后,利用遥感图像信息提取技术,结合滑坡前后的高分辨率的遥感数据、地形图资料和野外所测的GPS控制点,制作出研究区滑坡前后的数字高程模型(DEM),在获取滑坡前后高分辨率卫星数据的基本上,采用合理的图像处理技术,获得了滑坡前后正射影像图。采用人机交互解译滑坡,详细地对比解译滑坡前后的图像,分别对滑体的滑动方向、距离和堆积体面积进行了定量计算,估算出其体积约为1 518万m3,在对比千将坪滑坡附近地区多年降雨和三峡库区一期蓄水的基础上,综合地质学、灾害学原理和地理空间信息技术等科学分析了滑坡的成因机理,认为千将坪“7.13”滑坡为古滑坡的复活,三峡库区蓄水和降雨综合作用是促使滑坡复活的主要诱发因素。     

近30年来鄱阳湖环湖区土地利用与景观格局变化研究

以1988—2018年7期Landsat遥感卫星影像为数据源,采用土地利用转移矩阵、景观格局指数等方法探究了鄱阳湖环湖区近30年来土地利用与景观格局变化特征.结果表明：(1)近30年来鄱阳湖环湖区建设用地和林地面积显著增加,耕地、草地、水域和未利用地面积减少.(2)建设用地的转入类型以耕地为主,30年间共侵占耕地面积1243.66 km²,占建设用地面积增加量的71.19%.林地的转入类型主要为耕地和草地,其中,耕地转入占比56.95%.耕地的转出类型以建设用地、草地和林地为主,且1999年以后随着城镇化的发展耕地主要转向建设用地.(3)近30年来鄱阳湖环湖区景观总体破碎程度逐渐增大,景观斑块个数共增加63492个,增幅为11.68%.景观连通性降低,各类型土地呈均衡化趋势分布,景观异质性增加.研究结果可为推动鄱阳湖环湖区土地资源保护、生态环境保护和经济协同发展提供参考依据.     

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。     

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.