Change detection of linear features in temporally spaced remotely sensed images using edge-based grid analysis     

Arati Paul  V. M. Chowdary  Y. K. Srivastava  D. Dutta  J. R. Sharma 《国际地球制图》2017,32(6):640-654

Automatic change detection of land cover features using high-resolution satellite images, is a challenging problem in the field of intelligent remote sensing data interpretation, and is becoming more and more effective for its applications viz. urban planning and monitoring, disaster assessment etc. In the present study, a change in detection approach based on the image morphology that analyses change in the local image grids is proposed. In this approach, edges from both the images are extracted and grid wise comparison is made by probabilistic thresholding and power spectral density analysis for identifying change area. One of the advantages of the proposed methodology is that the temporal images used in the change analysis need not be radiometrically corrected as analysis is based on edge extractions. The grid-based analysis further reduces the error, which might have been introduced by image mis-registration. The proposed methodology is validated by finding the temporal changes in the linear land cover features in parts of Kolkata city, India using three different image data-sets from LISS IV, Cartosat-1 and Google earth having varied spatial resolutions of 5.8 m, 2.5 m and about 1 m, respectively. The overall accuracy in identifying changes is found to be 64.82, 73.86 and 80.93% for LISS IV, Cartosat-1 and Google earth data-set, respectively.  相似文献   

Optimization of spatial statistical approaches to identify land use/land cover change hot spots of Pune region of Maharashtra using remote sensing and GIS techniques     

Kuntal Ganguly  Rajiv Kumar  K. Mruthyunjaya Reddy  P. Jagadeeswara Rao  Manoj Raj Saxena  G. Ravi Shankar 《国际地球制图》2017,32(7):777-796

This study investigated land use/land cover change (LULCC) dynamics using temporal satellite images and spatial statistical cluster analysis approaches in order to identify potential LULCC hot spots in the Pune region. LULCC hot spot classes defined as new, progressive and non-progressive were derived from Gi* scores. Results indicate that progressive hot spots have experienced high growth in terms of urban built-up areas (20.67% in 1972–1992 and 19.44% in 1992–2012), industrial areas (0.73% in 1972–1992 and 3.46% in 1992–2012) and fallow lands (4.35% in 1972–1992 and ?6.38% in 1992–2012). It was also noticed that about 28.26% of areas near the city were identified as new hot spots after 1992. Hence, non-significant change areas were identified as non-progressive after 1992. The study demonstrated that LULCC hot spot mapping through the integrated spatial statistical approach was an effective approach for analysing the direction, rate, spatial pattern and spatial relationship of LULCC.  相似文献   

面向土地规划管理的"多规合一"信息平台建设应用初探     

江洋  陈磊  吴长彬 《测绘与空间地理信息》2017,40(Z1)

近年来,许多城市以开展"多规合一"信息平台建设为抓手推进"多规合一"工作,以期建立统一的空间规划体系.但是,大部分地区实践的"多规合一"信息管理平台建设侧重于多规空间数据展示和协同审批等方面,而对面向土地规划管理方面并无相关应用.本文首先尝试对土地规划管理与多规合一的关系进行探讨;进而梳理出面向土地规划管理的多规合一的信息平台建设思路;最后重点研究解决了土地集约利用管理、建设用地选址预审、土地规划实施效果评价等功能的关键技术问题.  相似文献   

天津地区Sentinel-1A雷达影像PSInSAR地面沉降监测     

白泽朝  靳国旺  张红敏  徐青  胡健波  汪宝存 《测绘科学技术学报》2017,34(3)

利用2015-05—2016-02获取的天津地区23景哨兵-1A(Sentinel-1A)卫星IW模式影像,进行基于地面散射特性保持稳定的高相干点永久散射体干涉测量处理(PSIn SAR),获取了地面沉降速率,分析了重点沉降区域时序形变特征和成因。实验结果表明,天津地区沉降严重区域主要集中在北辰区和大寺镇,结合北辰区沉降速率图和第2、3承压含水组水位降落漏斗等值线图,分析发现地面沉降中心和地下水位漏斗大致吻合,呈现整体向东北方向偏移的趋势,得出造成地面沉降的主导因素可能为超量开采地下水的结论。  相似文献   

利用小基线集技术(SBAS)监测泉州地区地表形变     

陈志谋  陈金座  罗楚楚  姚俊启  陈进清  崔家武 《测绘工程》2017,26(7)

差分干涉测量(DInSAR)技术可用于监测厘米级甚至毫米级的地表形变。文中选用2007—2011年期间19景日本ALOS1/PALSAR数据,采用短基线集技术(SBAS)获取了该地区的形变时间序列和平均沉降速率。研究结果表明:泉州东南部地区整体上呈抬升态势,上升速率为5mm/a左右,主要是受到亚欧板块和西太平洋板块互相挤压作用的结果;泉州东南部有多处出现地表沉降,沉降的结果与泉州市统计的地区地下水开采数据相当吻合,因此沉降主要与地下水过度开采相关。  相似文献   

Measuring land-use and land-cover change using the U.S. department of agriculture’s cropland data layer: Cautions and recommendations     

《International Journal of Applied Earth Observation and Geoinformation》2017

Monitoring agricultural land is important for understanding and managing food production, environmental conservation efforts, and climate change. The United States Department of Agriculture's Cropland Data Layer (CDL), an annual satellite imagery-derived land cover map, has been increasingly used for this application since complete coverage of the conterminous United States became available in 2008. However, the CDL is designed and produced with the intent of mapping annual land cover rather than tracking changes over time, and as a result certain precautions are needed in multi-year change analyses to minimize error and misapplication. We highlight scenarios that require special considerations, suggest solutions to key challenges, and propose a set of recommended good practices and general guidelines for CDL-based land change estimation. We also characterize a problematic issue of crop area underestimation bias within the CDL that needs to be accounted for and corrected when calculating changes to crop and cropland areas. When used appropriately and in conjunction with related information, the CDL is a valuable and effective tool for detecting diverse trends in agriculture. By explicitly discussing the methods and techniques for post-classification measurement of land-cover and land-use change using the CDL, we aim to further stimulate the discourse and continued development of suitable methodologies. Recommendations generated here are intended specifically for the CDL but may be broadly applicable to additional remotely-sensed land cover datasets including the National Land Cover Database (NLCD), Moderate Resolution Imaging Spectroradiometer (MODIS)-based land cover products, and other regional, national, and global land cover classification maps.  相似文献   

深圳市土地利用结构时空分析     

李国珍  张金亭  张君  金晓 《测绘与空间地理信息》2017,40(11)

基于2009年与2014年深圳市土地利用变更数据,分析其土地利用结构特征及其空间布局,有利于实现区域土地合理开发和可持续利用。运用多种指标及模型从土地利用的综合程度、组合类型和各地类区位意义3个方面来分析深圳市10区土地利用结构的时空变化特征。结果表明:研究区交通用地、城镇工矿用地、耕地面积有所增加,但总体变化不大,趋势放缓,各区之间存在一定差异;组合类型上表现为整体功能较弱、类型数少,各区组合多包含城镇及工矿用地与林地,分布集中连片,主导着深圳市土地利用变化趋势;程度变化上,整体综合指数较高并有所增加,表明利用程度高且处于持续发展中,但各区之间程度高低不一;区位意义在各区域地类上表现也不尽相同且变化不大。结论:研究区域土地供需矛盾仍十分突出,人多地少态势明显,区域间土地利用结构存在明显分异规律,区域发展协调性不够,利用布局有待优化。  相似文献   

时空约束下的沙化土地遥感提取方法研究     

张峰 《测绘与空间地理信息》2017,40(11)

针对辽西北中轻度沙化土地的区域特点和特殊性,通过分析其沙化土地的光谱特征、空间分布及时间变迁特征,研究了一种时空约束下的多光谱遥感影像沙化土地识别方法。在对沙化土地进行光谱特征分析的基础上,加入时-空分布特征进行约束修正,有效提高了沙化土地监测的精度和效率。  相似文献   

基于SWAT模型的细河流域土地利用/覆被变化对径流影响的研究     

裴亮  陈晨 《测绘与空间地理信息》2017,40(11)

土地利用/覆被变化对细河流域的水文过程影响显著。为研究不同土地利用/覆被情景对流域水文要素的影响情况,本文构建了适用于细河流域的SWAT分布式水文模型,并拟算出不同情景下的流域多年平均月径流量、多年平均地表径流深度、多年平均蒸发量以及多年平均土壤侧流。模拟结果显示:当流域农林用地增加时,平均月径流量增加了8.40%;当建设用地增加时,平均月径流量减少了4.11%;当旱地及其他未利用地增加时,平均月径流量减少了1.93%。综上所述,细河流域农林用地变化对径流产量的影响相对最大,其增加导致径流量增加;旱地及其他未利用对径流产量的影响相对最小,建设用地和旱地及其他未利用地的增加导致径流量减少。  相似文献   

“一带一路”倡议下老挝沙湾区土地适宜性评价     

朱洪洁  林爱文  彭玉玲  毛小平  秦文杰 《测绘与空间地理信息》2017,(1)

为了对老挝沙湾区土地适宜性进行评价,本文选择了地形、土壤、水利、区位和生态5类13项指标,建立了老挝沙湾区土地适宜性评价指标体系;将层次分析法(AHP)与GIS技术相结合,对老挝沙湾区农业用地、林业用地和建设用地进行适宜性评价。研究结果表明:宜农用地占土地面积的30.16%,主要分布在海拔较低、坡度较小的沙湾拿吉大平原以及湄公河沿岸;宜林用地占土地总面积的60.07%,主要分布在东部和北部山区;宜建用地占土地总面积的4.62%,主要分布在平原地区,湄公河沿岸,以及交通较发达地区;不适宜用地占总面积的2.32%,主要分布在甘蒙省西北部以及东部。研究方法和研究结果可以为老挝沙湾拿吉省土地利用规划和相关研究提供科学依据与支持,同时为老挝今后的土地资源开发奠定基础。  相似文献