排序方式: 共有70条查询结果,搜索用时 31 毫秒
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以ETM多光谱数据与SPOT5全色数据融合的遥感图像为对象,利用遥感图像和地面调查相结合的方法对吉林省东部山区进行森林资源调查,既可节约成本,又可提高调查精度,为遥感技术应用于森林资源调查设计探索了经验。 相似文献
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利用美国Landsat-7的ETM+数据作为主要数据源,采用ERMAPPER7.0专用图像处理软件制作了湖南省四水流域和洞庭湖水域解译图,获取了湖南省水资源的空间分布信息。结果表明:湘、资、沅、澧四水和洞庭湖水域面积总和为6224.72km^2,其中洞庭湖水域面积为2710.13km^2,湘江省内长度为722.07km,资水省内长度为687.31km,沅水省内长度为597.35km,澧水省内长度为423.57km,说明利用遥感技术调查湖南省水资源具有快速、准确和高效的特点。 相似文献
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借助ERDAS软件,运用遥感数据融合技术对四川省蓬安县进行基于ETM+融合影像的土地覆盖分类初步研究。研究中采用相同的训练样本区及最大似然法分类方法,对融合前后影像分别进行土地覆盖分类,通过对分类影像的Producers Accuracy,Users Accuracy,Kappa Accuracy三者的精度数据对比分析,上述的影像融合方法对提高土地覆盖分类的精度较为明显;就3种融合方法及重采样方式而言,乘积法融合法和立方卷积重采样法相对更为可取。 相似文献
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利用遥感和GIS技术,采用美国最新的Landsat 7 ETM 影像的15m全色波段和30m多光谱波段影像,对犬庆地区的防护林地进行遥感调查。通过图像处理与分析得到了最佳的用于解译的影像,在野外调查的基础上,建立了林地的解译标志,量算了防护林带的宽度,查清了防护林的类型及实际面积,为防护林的建设与管理提供了第一手资料。 相似文献
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官厅水库库区水生植物演变格局时空变化特征分析 总被引:3,自引:0,他引:3
利用中等分辨率长时间序列的TM遥感影像(1995—2007年),采用面向对象的分类方法,以多尺度分割技术为核心,提取了官厅水库水生植物空间分布信息,在斑块类型和景观级别尺度上,共筛选了8个高度浓缩景观格局信息的定量指标,结合水生植物空间分布的质心变化,分析了水生植物演变格局的时空变化特征。研究表明:(1)1995—2007年,受水域面积的扩张和萎缩的影响,库区水生植物面积及其平均斑块面积呈明显地增加和减少趋势:沉水植物波动幅度比较明显,呈先小幅扩张后急剧萎缩的趋势,2000年之前,随水域的扩张,其面积增加了30.2 km2,相对动态度达116.87%;之后,随着水域面积的持续萎缩,沉水植物面积以每年4.2%呈大幅递减趋势,减少了43.02 km2;挺水植物所占比例较小,其面积呈小幅扩张趋势,增加了4.58 km2。(2)沉水植物和挺水植物随水域面积的波动呈现不同的景观格局演变特征。库区沉水植物的景观优势度高,最高达56.09%,占库区水生植物景观类型的主体;挺水植物的平均斑块面积、聚集度指数均低于同年沉水植物,具有离散度高、破碎度高、连通性低的特点。挺水植物的斑块形状相对复杂,其分维度指数平均比同年沉水植物高0.29。(3)水生植物的质心12 a来发生了不同程度的偏移变化,挺水植物质心整体向库区东北方向移动了1.88 km,偏移方向为东偏北12.78°;沉水植物质心整体向库区西南方向移动了4.66 km,偏移方向为南偏西43.04°。 相似文献
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Alpine meadow ecosystem is fragile and highly sensitive to climate change.An understanding of the allocation of above-and below-ground plant biomass and correlations with environmental factors in alpine meadow ecosystem can result in better protection and effective utilization of alpine meadow vegetation.We chose an alpine meadow in the Qinghai-Tibetan Plateau of China as the study area and designed experimental warming plots using a randomized block experimental design.We used single-tube infrared radiators as warming devices,established the warming treatments,and measured plant above- (AGB) and below-ground biomass (BGB) during the growing seasons (May to September) in 2012 and 2013.We determined the allocation of biomass and the relationship between biomass and soil environment under the warming treatment.Biomass indices including above-ground biomass,below-ground biomass and the ratio of root to shoot (R/S) ,and soil factors including soil moisture and soil temperature at different depths were measured.The results showed that (1) BGB of the alpine meadow had the most significant allometric correlation with its AGB (y=298.7x~ (0.44) ,P0.001) ,but the relationship decreased under warming treatment and the determination coefficient of the functional equation was 0.102 which was less than that of 0.188 of the unwarming treatment (control) ; (2) BGB increased,especially in the deeper soil layers under warming treatment (P0.05) .At 0–10 cm soil depth,the percentages of BGB under warming treatment were smaller than those of the control treatment with the decreases being 8.52% and 8.23% in 2012 and 2013,respectively.However,the BGB increased 2.13% and 2.06% in 2012 and 2013,respectively,at 10–50 cm soil depths; (3) BGB had significant positive correlations with soil moisture at 100 cm depth and with soil temperature at 20–100 cm depths (P0.05) ,but the mean correlation coefficient of soil temperature was 0.354,greater than the 0.245 of soil moisture.R/S ratio had a significant negative correlation with soil temperature at 20 cm depth (P0.05) .The warmer soil temperatures in shallow layers increased the biomass allocation to above-ground plant parts,which leading to the increase in AGB;whereas the enhanced thawing of frozen soil in deep layers causing by warming treatment produced more moisture that affected plant biomass allocation. 相似文献
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基于ETM+影像竹林信息提取的最佳波段组合研究 总被引:2,自引:0,他引:2
以竹林信息提取为研究目的,应用最佳指数法(OIF)法和典型地物影像光谱特征曲线分析,对福建省顺昌县ETM+多光谱数据的波段选组合进行了研究.研究结果表明:345波段是竹林信息提取的最佳波段组合;典型地物影像光谱特征曲线可以直观的看出地物在不同波段上的光谱差异,能为最佳波段选择提供可靠的参考依据;竹林在第5波段与其他地物光谱差异最大,分离效果最好,在第1波段的光谱影像特征曲线与阔叶林相近,在第2波段与针叶林相近,说明在第1波段和第2波段中竹林分别与阔叶林、针叶林容易混淆,不利于竹林信息提取. 相似文献
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