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首页> 外文期刊>Journal of Applied Remote Sensing >Comparative analysis of SPOT, Landsat, MODIS, and AVHRR normalized difference vegetation index data on the estimation of leaf area index in a mixed grassland ecosystem
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Comparative analysis of SPOT, Landsat, MODIS, and AVHRR normalized difference vegetation index data on the estimation of leaf area index in a mixed grassland ecosystem

机译：SPOT，Landsat，MODIS和AVHRR归一化植被指数数据在混合草地生态系统叶面积指数估计中的比较分析

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摘要

Many grassland studies have depended on or are currently depending on the Landsat series of satellite sensors for monitoring work. However, given the identified gaps in Landsat data, alternatives to Landsat imagery need to be tested in an operational environment. In this study, normalized difference vegetation index (NDVI) values are derived from a Systeme Pour l'Observation de la Terre (SPOT), Moderate Resolution Imaging Spectroradiometer (MODIS), and Advanced Very High Resolution Radiometer (AVHRR) image and compared to the NDVI values from a Landsat image for LAI estimation in a semi-arid heterogeneous grassland. Results indicate a high agreement between Landsat and SPOT data with R~2 over 85% at all buffer levels (100, 250, and 1000 m), and a significant but lower agreement between MODIS and Landsat with R~2 around 28% at 250 m buffer level to 37% at 100 m buffer level. Based on in situ measurements of LAI in 22 homogeneous sites, the relationships established between LAI and NDVI show that SPOT and Landsat could predict LAI with acceptable accuracy, but MODIS and AVHRR cannot quantify the spatial variation in LAI measurements. Data fusion or blending techniques that combine the spectral information of high spatial/low temporal resolution data with low spatial/high temporal resolution data may be considered to study semi-arid heterogeneous grasslands.
机译：许多草原研究都依赖或目前依赖Landsat系列卫星传感器进行监测工作。但是，鉴于已确定的Landsat数据缺口，需要在运行环境中测试Landsat影像的替代方案。在这项研究中，归一化植被指数（NDVI）值是从系统观测卫星（SPOT），中分辨率成像光谱仪（MODIS）和超高分辨率高分辨率辐射计（AVHRR）图像得出的，并与半干旱异质草地中用于LAI估算的Landsat图像的NDVI值。结果表明，在所有缓冲区级别（100、250和1000 m）下，R〜2超过85％时Landsat和SPOT数据之间的一致性很高，而250时R〜2约为28％时，MODIS和Landsat之间的显着但较低的一致性在100 m缓冲水平下，将m缓冲水平提高到37％。基于对22个同质站点中LAI的原位测量，LAI和NDVI之间的关系表明SPOT和Landsat可以以可接受的精度预测LAI，但是MODIS和AVHRR无法量化LAI测量中的空间变化。可以考虑将高空间/低时间分辨率数据的光谱信息与低空间/高时间分辨率数据相结合的数据融合或混合技术来研究半干旱异质草地。

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