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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Assessment of ASTER land cover and MODIS NDVI data at multiple scales for ecological characterization of an arid urban center
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Assessment of ASTER land cover and MODIS NDVI data at multiple scales for ecological characterization of an arid urban center

机译:在多尺度上评估ASTER土地覆盖和MODIS NDVI数据,以对干旱城市中心进行生态表征

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摘要

Study of the detailed structure and ecological functioning of urban and peri-urban systems is intensifying due to increasing concentration of the human population into urban centers. Much of this increase is expected to occur in semiarid to arid cites. Data from new high spatial, temporal, and spectral resolution satellite-based sensors promise to increase our understanding of global urban ecological and climatic processes and improve city and land planning capabilities. Two of these sensors, the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and the Moderate Resolution Imaging Spectroradiometer (MODIS), provide an opportunity to compare urban spatial structure (distribution and configuration of discrete land cover/land use classes on the landscape) with contemporaneous measurements of surface biophysical composition at a variety of spatial and temporal scales. Such combined measurements are useful for modeling changes to urban climate, hydrology, and biogeochemical cycles caused by modification of the landscape. We compare gridded landscape metrics derived from expert system land cover classification of ASTER to corresponding MODIS NDVI data at scales of 250 m/pixel, 500 m/pixel, and 1 km/pixel in order to determine which of these scales is optimal for monitoring of urban biophysical processes and landscape structure change. Weak positive and negative correlations between NDVI and landscape structure were observed at all three spatial scales for the metrics Class Area, Mean Patch Size, Edge Density, and Interspersion/Juxtaposition Index.
机译:由于人口向城市中心的集中度不断提高,对城市和城郊系统的详细结构和生态功能的研究正在加强。预计这种增加的大部分将发生在半干旱到干旱的城市。来自新型高空间,时间和光谱分辨率的基于卫星的传感器的数据有望增进我们对全球城市生态和气候过程的了解,并提高城市和土地规划的能力。这些传感器中的两个,即先进的星载热发射和反射辐射计(ASTER)和中分辨率成像光谱仪(MODIS),提供了一个机会来比较城市空间结构(景观上离散的土地覆盖/土地利用类别的分布和配置)同时测量各种时空尺度上的表面生物物理组成。这样的组合测量对于建模由景观修改引起的城市气候,水文和生物地球化学循环的变化非常有用。我们将ASTER专家系统土地覆盖分类的网格化景观度量与250 m /像素,500 m /像素和1 km /像素的相应MODIS NDVI数据进行比较,以确定哪种比例最适合监控城市生物物理过程和景观结构的变化。在所有三个空间尺度上,对于指标类面积,平均斑块大小,边缘密度和散布/并置指数,都观察到NDVI与景观结构之间的弱正相关和负相关。

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