排序方式： 共有16条查询结果，搜索用时 31 毫秒
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云南省腾冲油菜反射波谱特征与应用分析 总被引：4，自引：0，他引：4
以云南省腾冲县的油菜为例,探讨同种作物在不同生长阶段的光谱特点及其关系,探讨不同盖度情况下的同种作物的光谱特点及其关系。通过野外典型选样测定,并对测定数据进行处理和分析。研究初步表明,在375-670nm的范围内,其反射率随油菜开花量的增加而增加。在800-1100nm的范围内,其反射率随油菜开花量的增加而减少。在800-1100nm范围内,未开花油菜与全开花油菜的组合比例与其光谱组合比例比较接近。在368.4-738.2nm的范围内,盖度越高的菜地,其反射率越低。在741.2-1110.6nm的范围内,盖度越高的菜地,其反射率越高。在500-700nm范围内,土壤与覆盖度为100%的油菜的组合比例与其光谱组合比例比较一致。该研究对不同生长阶段油菜的识别以及不同盖度油菜的识别具有积极的应用意义。 相似文献
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本文所述方法的基本思路是：根据空间后方交会原理建立单张航片的投影变换模型，利用扫描仪输入航片调绘数据和地形高程数据，利用投影变换模型对航片数据进行变换处理，从而实现对航片的转绘。该方法适用于高山、丘陵、平地的航片转绘。 相似文献
3.
利用地理信息系统技术与层次分析法对东川区生态环境进行敏感性分析,本文共选取5个评价指标,首先对其进行单因子评价;然后基于GIS空间分析功能,将东川区综合生态敏感性分为5个等级;最后构建东川区综合生态环境敏感性分布图。研究结果显示:①5个生态评价因子中,坡度因子对东川区生态环境敏感性影响最大,权重值为0.36。根据对生态敏感性影响程度从大到小排序为:坡度、高程、土地利用、NDVI和水域缓冲区。②东川区生态环境敏感性总体偏高,极高敏感区与高敏感区共占区域总面积的44.17%;中敏感区占比最高,为26.1%;低敏感区和极低敏感区两者占比之和为29.73%。③东川区生态环境极高敏感区和高敏感区主要分布在西北部;极低敏感区和低敏感区主要分布在东北部及中部河谷地区。 相似文献
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W. Siyuan L. Jingshi Y. Cunjian 《International journal of geographical information science》2013,27(10):1077-1092
Using Landsat TM data from 1995 and 2000, changes in the landscape erosion pattern of the Yellow River Basin, China were analysed. The aim was to improve our understanding of soil‐erosion change so that sustainable land use could be established. First, a soil‐erosion intensity index model was developed to study soil‐erosion intensity change in the study area. Over the 5 years, the areas of weak erosion, moderate erosion, severe erosion, and very severe erosion all increased. The area of weak erosion increased dramatically by 7.94×105 ha, and areas of slight erosion and acute erosion decreased by 1.93×106 ha and 4.50×104 ha, respectively. The results show that while the intensity of soil erosion has gradually been decreasing as a whole, in some regions the soil erosion is becoming more severe. Based on landscape indices, the pattern of changes in soil erosion over the past 5 years was analysed. The changes in landscape pattern of soil erosion resulted from human activities. Analysis showed that human impact increases fragmentation, having three major effects on landscape pattern, reduction in patch area, variations in patch shape, and changes in spatial pattern. In the study area, population growth, farming, governmental policy and forest degradation are the major factors causing soil erosion change over a 5‐year period. 相似文献
6.
The vegetation damage assessment of the Wenchuan earthquake of May 2008 using remote sensing and GIS 总被引：3，自引：2，他引：1
The methodology for assessing the vegetation damaged by the Wenchuan earthquake by using the technologies of remote sensing
and GIS was discussed in Dujiangyan city of Sichuan Province, China. The model of extracting vegetation from CBERS images
was formulated using the differentiation knowledge of vegetation and non-vegetation discovered by image analysis and geographic
analysis. The damage degree index (DDI) of the vegetation was defined here, which was the difference of the normalized difference
vegetation index before the earthquake and that after earthquake. The China-Brazil Earth Resource Satellite (CBERS)-02’s images
acquired, respectively, on 6 May and 27 June 2008, the model of extracting vegetation, and DDI were used to obtain the information
about the area and degree of the damage vegetation in the study. There was 87.94 square kilometers vegetation damaged by Wenchuan
earthquake, which accounted for 7.9% of the total area in Dujiangyan city. The area percentage of the damage vegetation in
each grade related strongly and positively to the elevation grade and slope grade and weakly related to the aspect type. The
distribution characteristics of the damage vegetation were useful for making plan of restoring vegetation here. 相似文献
7.
森林植被动态变化信息的遥感检测 总被引：10，自引：1，他引：9
本文以云南省泸水县为例,探讨了利用遥感技术从LANDSAT TM图像中检测森林植被动态变化的方法。该方法,首先对1988年的LANDSAT TM图像进行几何校正,并将1999年的L ANDSAT TM图像与其配准。其次,分别从1988年和1999年的L ANDSAT TM图像中提取植被指数。然后,将1999年的植被指数减去1988年的植被指数,得到植被指数差值图像。最后,利用目视识别的方法,在植被指数差值图像上确定森林植被增加和减少的阈值,从而提取出森林植被的动态变化信息。由于云和雪的影响,造成一些伪变化的信息,为此,进一步将云和雪的信息提取出来,并将这部分伪变化信息掩模掉。该研究表明,此法可以简单有效地将森林植被的动态变化信息予以检测. 相似文献
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Hydrocarbon Accumulation Mechanism of Sinian Reservoir in Anpingdian-Gaoshiti Structure,Middle Sichuan Basin 总被引：1，自引：0，他引：1
The Sinian reservior in Anpingdian (安平店)-Gaoshiti (高石梯) structure,Middle Sichuan (四川) basin,is of great importance to prospect for oil and gas.This article dissects the hydrocarbon accumulation mechanism of this area on the basis of comprehensive methods of organic geochemistry,fluid inclusion,modeling of hydrocarbon generation and expulsion from source rocks,and by combining structure evolutions and analyzing the key geologic features of hydrocarbon origin and trap.According to the fluid inclusion homogenization temperature analysis,there exist at least three stages of fluid charging in the Sinian reservoir.From Middle-Late Jurassic to Early Cretaceous,oil cracked to gas gradually owing to high temperature at 200-220 ℃.The Sinian gas pool was mainly formed at the stage when natural gas in trap was released from water and paleo-gas pools were being adjusted.It was a process in which natural gas dissipated,transferred,and redistributed,and which resulted in the present remnant gas pool in Anpindian-Gaositi tectonic belt.The authors resumed such an evolution process of Sinian reservoir as from paleo-oil pools to paleo-gas pools,and till today's adjusted and reconstructed gas pools. 相似文献
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Yang Cunjian Xu Guanghong Li Hechao Yang Defei Huang He Ni Jing Li Xiao Xiang Xiao 《地理学报(英文版)》2019,29(5):846-860
Journal of Geographical Sciences - Investigating and monitoring the area of cultivated land reclaimed from rural settlements is important to optimize rural land use and understand spatial patterns.... 相似文献
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森林资源是极其重要的自然资源。利用3S(GIS、RS、GPS)技术、数据库技术,以及网络技术建立森林防火信息系统对减少森林火灾损失具有重要意义。本文以四川省遂宁市为例,对该市森林防火信息系统的结构和功能、系统的数据库进行了设计、建设。该系统数据库的数据主要有1:1万地形图,1:1万森林资源二类调查数据,气象站点数据,扑火力量分布数据,了望站点分布数据,扑火物资储备数据,林业管理机构分布数据,以村或乡镇为单位的人口、经济统计数据及遥感影像数据库。该系统的主要功能包括数据的处理和管理,森林火险等级评价,森林火灾监测,林火趋势模拟和预测,最佳扑火路径分析,防火扑火预案制定,防火扑火决策,灾害损失评估,灾后重建辅助决策,相关图、表和报告制作等功能。在系统的搭建过程中,采用MicrosoftVisualStudio2005作为开发平台,利用Ar-cEngine组件对象模型进行软件系统的开发,采用SQLServer2005数据库管理系统和ArcSDE9.2空间数据库引擎来实现该系统的数据管理。该系统的建立对该市森林防火和森林资源管理等均具有重要意义。 相似文献