共查询到18条相似文献,搜索用时 140 毫秒
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采用重庆市主城区2000年和2010年两个时相的TM影像提取城市扩展信息,对影像数据的归一化建筑指数(NDBI)、归一化植被指数(NDVI)和归一化水体指数(NDWI)进行RGB组合增强,再进行决策树分类和减法运算获取研究区扩展信息,发现建筑区面积增加了1.62倍,大部分是由植被区转变而来。其扩张方向受地理影响,南北方向为外延型,东西方向为飞地型。借助统计资料进行精度验证和城市扩展的驱动因素分析发现,区域发展政策、经济增长和人口扩张是主要的影响因素,探讨了对经济增长、城市扩张和人口增长的关系。研究结果表明,以遥感手段监测与研究城市发展变化的趋势是可行和高效的。 相似文献
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选取2015年3月6日济南市MODIS卫星遥感影像数据,以ENVI5.3为平台,利用改进的暗像元算法,进行气溶胶光学厚度(AOD)反演,并分析其空间分布特征和影响机制,得到以下结论:济南市平均AOD为0.454,南部山区处于低浓度梯度,西部地区处于高浓度梯度,东部地区介于二者之间;济南市AOD与其地势(DEM)、归一化植被指数(NDVI)呈负相关,与人类活动呈正相关。依据分析结果,提出了分区分层治理、建立生态廊道、转移污染企业、提高植被覆盖的治理策略。 相似文献
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利用数码相片对冬小麦生物量的试算 总被引:1,自引:0,他引:1
数码相片属于地面遥感资料的一种,被广泛应用于实地调查中.然而,目前利用数码相片对植被生物量进行推算的研究很少.利用数码相片提取小麦生长期的小麦覆盖度,结合地面实测叶面积指数(LAI)、归一化植被指数(NDVI)和小麦生物量,分析小麦覆盖度与LAI,NDVI,生物量与小麦覆盖度、LAI,NDVI各自的相关系数,建立各自合适的回归模型推算冬小麦的生物量.结果表明,在小麦生长期,小麦覆盖度与LAI,NDVI的相关系数R2分别达到0.765,0.896,生物量与小麦覆盖度、LAI,NDVI的相关系数R2分别为0.774,0.876,0.712,生物量与其小麦覆盖度、LAI,NDVI之间具有很高的相关性,多元回归分析效果更好,系数R2达0.891.结果说明,在不破坏植被生长状态的情况下,基于数码相片可有效地推算小麦的生物量,这为大面积实地测量和遥感监测作物长势及其生物量估算提供了理论参考依据. 相似文献
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基于遥感技术的土地利用/土地覆盖现状信息提取研究——以艾比湖湿地保护区为例 总被引:1,自引:0,他引:1
艾比湖地区是中国沙尘暴的起源地之一,而且对该区域的生态环境变化具有指征作用。利用中巴资源卫星影像,结合Modis数据,采用遥感数据分类与实地验证相结合的方法。利用植被指数模型,建立解译标志,采用无监和有监相结合的分类方法,提取了艾比湖湿地保护区LUCC的现状信息,为进一步研究提供了基础性数据。 相似文献
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Traditional ecological knowledge (TEK) can play an important role in the understanding of ecological systems. Although TEK
has complemented scientific and managerial programs in a variety of contexts, its formal incorporation into remote sensing
exercises has to date been limited. Here, we show that the vegetation classifications of the Ache, an indigenous hunter-gatherer
tribe of the Mbaracayu Forest Reserve in Paraguay, are reflected in a supervised classification of satellite imagery of the
reserve. Accuracy of classification was toward the low end of the range of published values, but was reasonable given the
difficult nature of separating forest classes from satellite images. Comparison of the resultant map with a more traditionally
elaborated vegetation map highlights differences between the two approaches and the gain in information obtained by considering
TEK classifications. We suggest that integration of TEK and remote sensing may provide alternative insights into the ecology
of vegetation communities and land cover, particularly in remote and densely forested areas where ecological field research
is often limited by roads and/or trail systems. 相似文献
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Warren B. Cohen John D. Kushla William J. Ripple Steven L. Garman 《Environmental management》1996,20(3):421-435
Aerial photography has been routinely used for several decades by natural resource scientists and managers to map and monitor the condition of forested landscapes. Recently, along with the emergence of concepts in managing forests as ecosystems, has come a significant shift in emphasis from smaller to larger spatial scales and the widespread use of geographic information systems. These developments have precipitated an increasing need for vegetation information derived from other remote sensing imagery, especially digital data acquired from high-elevation aircraft and satellite platforms. This paper introduces fundamental concepts in digital remote sensing and describes numerous applications of the technology. The intent is to provide a balanced, nontechnical view, discussing the shortcomings, successes, and future potential for digital remote sensing of forested ecosystems. 相似文献
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Identification and mapping of submerged plants in a shallow lake using Quickbird satellite data 总被引:1,自引:0,他引:1
Turkey is a country rich in lakes and wetlands--monitoring of all these will require advances in technology such as remote sensing. In this study, the aquatic plants of the large and shallow Lake Mogan, located in Central Anatolia were identified and mapped using high spatial resolution Quickbird imagery. As Lake Mogan is an important bird area the assessment of submerged plant species is of great value for ecosystem conservation and management. Quickbird multispectral image acquired on August 6, 2005 was geometrically corrected and a water mask was used based on strong absorption of Near Infrared (NIR) wavelengths by calm, clear and deep water. The water mask was applied using band reflectance values for a specific pixel satisfying the conditions of band decreasing property (Green>Red>NIR) and NIR相似文献
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Scott C. Sollers Albert Rango Donald L. Henninger 《Journal of the American Water Resources Association》1978,14(2):359-373
ABSTRACT: Multispectral aircraft and satellite data over the West Branch of the Susquehanna River were analyzed to evaluate potential contributions of remote sensing to floodplain surveys. Multispectral digital classifications of land cover features indicative of floodplain areas were used by interpreters to locate various floodprone area boundaries. The boundaries thus obtained were found to be more striking and continuous in the Landsat data than in the low altitude aircraft data. The digital approach permitted satellite results to be displayed at 1:24,000 scale and aircraft results at even larger scales. Results indicate that remote sensing techniques can delineate floodprone areas more easily in agricultural and limited development areas than in areas covered by a heavy forest canopy. At this time it appears that the remote sensing data would be best used as a form of preliminary planning information or as an internal check on previous or ongoing floodplain studies. In addition, the remote sensing techniques can assist in effectively monitoring floodplain activities after a community enters into the National Flood Insurance Program. 相似文献
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Cluster analysis of structural stage classes to map wildland fuels in a Madrean ecosystem 总被引:2,自引:0,他引:2
Miller JD Danzer SR Watts JM Stone S Yool SR 《Journal of environmental management》2003,68(3):239-252
Geospatial information technology is changing the nature of fire mapping science and management. Geographic information systems (GIS) and global positioning system technology coupled with remotely sensed data provide powerful tools for mapping, assessing, and understanding the complex spatial phenomena of wildland fuels and fire hazard. The effectiveness of these technologies for fire management still depends on good baseline fuels data since techniques have yet to be developed to directly interrogate understory fuels with remotely sensed data. We couple field data collections with GIS, remote sensing, and hierarchical clustering to characterize and map the variability of wildland fuels within and across vegetation types. One hundred fifty six fuel plots were sampled in eight vegetation types ranging in elevation from 1150 to 2600 m surrounding a Madrean 'sky island' mountain range in the southwestern US. Fuel plots within individual vegetation types were divided into classes representing various stages of structural development with unique fuel load characteristics using a hierarchical clustering method. Two Landsat satellite images were then classified into vegetation/fuel classes using a hybrid unsupervised/supervised approach. A back-classification accuracy assessment, which uses the same pixels to test as used to train the classifier, produced an overall Kappa of 50% for the vegetation/fuels map. The map with fuel classes within vegetation type collapsed into single classes was verified with an independent dataset, yielding an overall Kappa of 80%. 相似文献
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The integration of Landsat TM and environmental GIS data sets using artificial intelligence rule-induction and decision-tree
analysis is shown to facilitate the production of vegetation maps with both floristic and structural information. This technique
is particularly suited to vegetation mapping in disturbed or hilly environments that are unsuited to either conventional remote
sensing methods or GIS modeling using environmental data bases. 相似文献
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Scott J. Goetz 《Journal of the American Water Resources Association》2006,42(1):133-143
Riparian buffer zone management is an area of increasing relevance as human modification of the landscape continues unabated. Land and water resource managers are continually challenged to maintain stream ecosystem integrity and water quality in the context of rapidly changing land use, which often offsets management gains. Approaches are needed not only to map vegetation cover in riparian zones, but also to monitor the changes taking place, target restoration activities, and assess the success of previous management actions. To date, these objectives have been difficult to meet using traditional techniques based on aerial photos and field visits, particularly over large areas. Recent advances in remote sensing have the potential to substantially aid buffer zone management. Very high resolution imagery is now available that allows detailed mapping and monitoring of buffer zone vegetation and provides a basis for consistent assessments using moderately high resolution remote sensing (e.g., Landsat). Laser‐based remote sensing is another advance that permits even more detailed information on buffer zone properties, such as refined topographic derivatives and multidimensional vegetation structure. These sources of image data and map information are reviewed in this paper, examples of their application to riparian buffer mapping and stream health assessment are provided, and future prospects for improved buffer monitoring are discussed. 相似文献