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首页> 外文会议>Conference on remote sensing for agriculture, ecosystems, and hydrology XIX >Evaluation and cross-comparison of vegetation indices for crop monitoring from sentinel-2 and worldview-2 images
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Evaluation and cross-comparison of vegetation indices for crop monitoring from sentinel-2 and worldview-2 images

机译：来自Sentinel-2和WorldView-2图像作物监测植被指数的评估与交叉比较

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Farmers throughout the world are constantly searching for ways to maximize their returns. Remote Sensing applications are designed to provide farmers with timely crop monitoring and production information. Such information can be used to identify crop vigor problems. Vegetation indices (VIs) derived from satellite data have been widely used to assess variations in the physiological state and biophysical properties of vegetation. However, due to the various sensor characteristics, there are differences among VIs derived from multiple sensors for the same target. Therefore, multi-sensor Ⅵ capability and effectiveness are critical but complicated issues in the application of multi-sensor vegetation observations. Various factors such as the atmospheric conditions during acquisition, sensor and geometric characteristics, such as viewing angle, field of view, and sun elevation influence direct comparability of vegetation indicators among different sensors. In the present study, two experimental areas were used which are located near the villages Nea Lefki and Melia of Larissa Prefecture in Thessaly Plain area, containing a wheat and a cotton crop, respectively. Two satellite systems with different spatial resolution, WorldView-2 (W2) and Sentinel-2 (S2) with 2 and 10 meters pixel size, were used. Normalized Difference Vegetation Index (NDVI) and Leaf Area Index (LAI) were calculated and a statistical comparison of the VIs was made to designate their correlation and dependency. Finally, several other innovative indices were calculated and compared to evaluate their effectiveness in the detection of problematic plant growth areas.
机译：农民在世界各地都在不断寻找方法来最大限度地提高他们的回报。遥感应用旨在为农民提供及时的作物监控和生产信息。这些信息可以被用来识别作物活力的问题。源自卫星数据的植被指数（VI）已被广泛用于评估植被生理状态和生物物理性质的变化。然而，由于各种传感器特性，有来自多个传感器导出的相同的目标之间的VI差异。因此，多传感器Ⅵ的能力和有效性是多传感器植被观测的应用非常关键而复杂的问题。各种因素，例如在采集，传感器和几何特性的大气条件下，如观看角度，视场，以及不同的传感器之间植被指标太阳高度影响直接的可比性。在本研究中，两个实验区使用它们位于村庄的Nea Lefki和拉里萨县的苦色萨利平原区附近，含有小麦和棉花，分别。使用Sentinel-2个不同的空间分辨率，WorldView-2卫星（W2）和（S2）与2到10米的像素尺寸的两个卫星系统中，使用。归一化植被指数（NDVI）和叶面积指数（LAI）进行了计算和被做了VI的统计比较，以指定其相关性和依赖性。最后，计算等多种创新指数比较，以评估其在检测有问题的植物生长区域的有效性。

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