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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Studies of land-cover, land-use, and biophysical properties of vegetation in the Large Scale Biosphere Atmosphere experiment in Amazonia
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Studies of land-cover, land-use, and biophysical properties of vegetation in the Large Scale Biosphere Atmosphere experiment in Amazonia

机译:通过亚马逊大范围生物圈大气实验研究植被的土地覆盖,土地利用和生物物理特性

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We summarize early research on land-cover, land-use, and biophysical properties of vegetation from the Large Scale Biosphere Atmosphere (LBA) experiment in Amazonia. LBA is an international research program developed to evaluate regional function and to determine how land-use and climate modify biological, chemical and physical processes there. Remote sensing has played a fundamental role in LBA in research planning, land-cover mapping and in long-term monitoring of changes in land-cover and land-use at multiple scales. This special issue includes 12 papers that cover a range in spatial scales from regional mapping to local scales that cover only a portion of a Landsat scene. Several themes dominate, including land-cover mapping with an emphasis on wetlands and second-growth forest, evaluation of pasture sustainability and forest degradation and the impact of land-cover change on stream chemistry. New techniques introduced include automated Monte Carlo unmixing (AutoMCU) and several new approaches for mapping land-cover. A diversity of sensors are utilized, including ETM+, IKONOS, SPOT-4, Airborne P-band synthetic aperture radar (SAR), and L-band SAR. Census data are fused with an existing land-cover map to generate spatially explicit estimates of land-use from historical data. Several papers include important, new field measures of species composition, forest structure and biomass in mature forest and secondary succession.
机译:我们总结了亚马逊地区大规模生物圈大气(LBA)实验对植被的土地覆盖,土地利用和生物物理特性的早期研究。 LBA是一项国际研究计划,旨在评估区域功能并确定土地利用和气候如何改变那里的生物,化学和物理过程。遥感在研究计划,土地覆盖图以及长期监测土地覆盖和土地利用变化的多尺度方面,在LBA中发挥了重要作用。本期特刊包括12篇论文,这些论文涵盖了从区域制图到仅覆盖Landsat场景一部分的局部比例的一系列空间比例。有几个主题占主导地位,包括侧重于湿地和次生林的土地覆盖制图,牧场可持续性和森林退化的评估以及土地覆盖变化对河流化学的影响。引入的新技术包括自动蒙特卡洛分解法(AutoMCU)和几种用于绘制土地覆盖图的新方法。利用了多种传感器,包括ETM +,IKONOS,SPOT-4,机载P波段合成孔径雷达(SAR)和L波段SAR。将人口普查数据与现有的土地覆盖图融合在一起,以根据历史数据生成土地使用的空间显式估计。几篇论文包括重要的,新的田间措施,包括成熟林和次生演替的物种组成,森林结构和生物量。

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