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排序方式： 共有169条查询结果，搜索用时 31 毫秒
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Kasper Johansen Stuart Phinn Ian Dixon Michael Douglas John Lowry 《Forest Ecology and Management》2007,240(1-3):42-60
Suitable methods for measuring and monitoring the condition of riparian environments are being investigated by government agencies responsible for maintaining these environments in Australia. The objective of this work was to compare two riparian condition assessment approaches, the Tropical Rapid Appraisal of Riparian Condition (TRARC) method developed for rapid on-ground assessment of the environmental condition of savanna riparian zones and an image based riparian condition monitoring scheme. Measurements derived from these two approaches were compared and correlated. The sample representativeness of the TRARC method was evaluated and the cost-effectiveness and suitability for multi-temporal analysis of the two approaches were assessed. Two high spatial resolution multi-spectral QuickBird satellite images captured in 2004 and 2005 and coincident field data covering sections of the Daly River in the Northern Territory, Australia were used in this work. Both field and image data were processed to map indicators of riparian zone condition including percentage canopy cover, organic litter on the ground, canopy continuity, tree clearing, bank stability, and flood damage. Spectral vegetation indices, image segmentation, and supervised classification were used to produce riparian health indicator maps. QuickBird image data were used to examine if the spatial distribution of TRARC transects provided a representative sample of ground based estimates of riparian health indicators. Covering approximately 3% of the study area, the sample mean of the TRARC estimates of individual indicators of riparian zone condition were in most cases within 20% of the global mean derived from the whole imaged riparian area. The cost-effectiveness of the image based approach was compared to that of the ground based TRARC method. Results showed that the TRARC method was more cost-effective at spatial scales from 1 km to 200 km of river in relatively homogeneous riparian zones along rivers with only one channel, while image based assessment becomes more feasible at regional scales (200–2000 km of river). A change detection analysis demonstrated that image data can provide detailed information on gradual change, while the TRARC method is less suited for multi-temporal analysis due to the ranked data format, which inhibits precise detection of change. However, results from both methods were considered to complement each other for single date assessment of riparian zones if used at appropriate spatial scales. 相似文献
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基于Landsat 8的东莞市热岛效应研究 总被引：2，自引：2，他引：0
以2014年广东省东莞市Landsat 8卫星的热红外波段数据建立模型,反演东莞市地表温度,研究东莞市热岛效应分布情况,从优势度指数、分维数指数和形状指数来分析热力场景观格局,根据热岛效应的不同影响因素分析东莞市热岛现象的成因。结果表明：Landsat 8卫星影像反演2014年东莞市地表温度是可行的;东莞市热力景观以中热岛为主,热岛效应不明显,分布呈西北偏高,中部地区和东南区域偏低;热力景观斑块较复杂、热力场呈条带状零星分布;受绿化、水体影响区域的热岛强度较小,而受人为热源、道路、城市下垫面和建筑等因素影响的区域,热岛强度较大。 相似文献
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This study examines mass movement associated with land use change, particularly deforestation, from multiple perspectives. The significance of such understanding is related to the degree of impact landsliding may cause on human settlements and economic activities, and on forest ecosystems. In this paper, the distribution of hillslope instability in the Sierra Norte, Puebla, Mexico is addressed by means of a diachronic analysis, which involves the development of vegetation indexes, as well as vegetation fragmentation derived from Landsat-5 (TM) and Landsat-7 (ETM+) satellite images from 1989 and 1999, respectively. The time period was chosen to compare vegetation cover conditions prior and after the extreme October 1999 rainfall event that triggered hundreds of slope failures in the study area. Results suggested there was a significant vegetation reduction from 1989 to 1999, which was strongly expressed by an increase of 809 km2 of bare surfaces. Additionally, areas with highest vegetation density (91–100%) decreased considerably, from 1245 to 363 km2, resulting in a net vegetation reduction of 70%. Furthermore, it was possible to highlight that landslide concentration was much higher on surfaces that were bare and had low vegetation density (0–50%), representing 85% of hillslope instability, than on surfaces having a greater density of vegetation cover. Land use change and land degradation are precursors to environmental hazards, such as mass movement events, that pose serious threats to regional population distributions and economic vitality. 相似文献
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Within-field spatial variability is related to multiple factors that can be time-independent or time-dependent. In this study,
our working hypothesis is that a multi-time scale analysis of the dynamics of spatial patterns can help establish a diagnosis
of crop condition. To test this hypothesis, we analyzed the within-field variability of a sugarcane crop at seasonal and annual
time scales, and tried to link this variability to environmental (climate, topography, and soil depth) and cropping (harvest
date) factors. The analysis was based on a sugarcane field vegetation index (NDVI) time series of fifteen SPOT images acquired
in the French West Indies (Guadeloupe) in 2002 and 2003, and on an original classification method that enabled us to focus
on crop spatial variability independently of crop growth stages. We showed that at the seasonal scale, the within-field growth
pattern depended on the phenological stage of the crop and on cropping operations. At the annual scale, NDVI maps revealed
a stable pattern for the two consecutive years at peak vegetation, despite very different rainfall amounts, but with inverse
NDVI values. This inversion is linked with the topography and consequently to the plant water status. We conclude that (1)
it is necessary to know the crop growing cycle to correctly interpret the spatial pattern, (2) single-date images may be insufficient
for the diagnosis of crop condition or for prediction, and (3) the pattern of vigour occurrence within fields can help diagnose
growth anomalies.
相似文献
| Pierre TodoroffEmail: |
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利用单根肌纤维法分离和培养猪骨骼肌卫星细胞及其成肌诱导分化 总被引：1，自引：0，他引：1
建立单根肌纤维法体外培养猪骨骼肌卫星细胞的体系,了解其增殖和成肌特性。通过Ⅰ型胶原酶消化,从猪骨骼肌中分离完整的单根肌纤维并培养,用细胞免疫荧光鉴定肌纤维上的卫星细胞,随后对从单根肌纤维上游离出来的卫星细胞进行细胞免疫荧光染色,传代培养,成肌诱导分化和Western blot分析骨骼肌卫星细胞成肌特异性蛋白的表达。结果显示:分离并培养的单根肌纤维上附着有卵圆形的细胞,并随时间的推移,细胞缓慢向外迁移并增殖,卫星细胞特异性标志基因对盒转录因子(Paired protein box,Pax7)和成肌分化抗原(Myogenic Differentiation Antigen,MyoD)免疫荧光染色呈阳性,且阳性率达到90%以上。成肌诱导分化后,细胞开始汇合,并呈方向性生长,最终形成多核肌管,且成肌特异性标志基因Myogenin和myosin heavy chain(MyHC)表达呈阳性。MyoD蛋白高表达于增殖期,而Myogenin和MyHC在进入分化期才表达。该实验成功建立了猪骨骼肌单根肌纤维的体外培养方法并获得了高纯度的卫星细胞,为骨骼肌卫星细胞进行活体移植治疗相关疾病研究提供了实验材料。 相似文献