Evaluation and cross-comparison of vegetation indices for crop monitoring from sentinel-2 and worldview-2 images

机译：从前哨2号和worldview-2图像评估和监测用于作物监测的植被指数

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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：全世界的农民都在不断寻找使他们的收益最大化的方法。遥感应用程序旨在为农民提供及时的作物监测和生产信息。此类信息可用于识别农作物活力问题。从卫星数据得出的植被指数（VIs）已被广泛用于评估植被的生理状态和生物物理特性的变化。但是，由于传感器的特性各异，因此对于同一目标，从多个传感器导出的VI之间会有差异。因此，在多传感器植被观测应用中，多传感器Ⅵ的能力和有效性是关键但复杂的问题。各种因素（例如采集过程中的大气条件，传感器和几何特性，例如视角，视野和太阳高度）会影响不同传感器之间植被指标的直接可比性。在本研究中，使用了两个试验区，分别位于色萨利平原地区的拉里萨县的Nea Lefki和Melia村附近，分别装有小麦和棉花。使用了具有不同空间分辨率的两个卫星系统，WorldView-2（W2）和Sentinel-2（S2），像素大小分别为2米和10米。计算归一化植被指数（NDVI）和叶面积指数（LAI），并对VI进行统计比较，以指定它们的相关性和依赖性。最后，计算并比较了其他几个创新指标，以评估它们在检测有问题的植物生长区域中的有效性。

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《Remote sensing for agriculture, ecosystems, and hydrology XIX》|2017年|104211B.1-104211B.13|共13页
会议地点 Warsaw(PL)
作者
Emmanouil Psomiadis; Nicholas Dercas; Nicolas R. Dalezios; Nikolaos V. Spyropoulos;
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作者单位

Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 75 Iera Odos st., 11855, Greece;

Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 75 Iera Odos st., 11855, Greece;

Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 75 Iera Odos st., 11855, Greece,Department of Civil Engineering, Lab. of Hydrology and Aquatic Systems Analysis, University of Thessaly, Volos, Greece;

Sigma Geotechnologie, Munich, Germany;

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正文语种 eng
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关键词
Precision Agriculture; WorldView-2; Sentinel-2; Statistical comparison; Vegetation indices;

机译：精准农业； WorldView-2；前哨2;统计比较；植被指数;

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专利

1. Evaluation of Chlorophyll-Related Vegetation Indices Using Simulated Sentinel-2 Data for Estimation of Crop Fraction of Absorbed Photosynthetically Active Radiation [J] . Dong Taifeng, Meng Jihua, Shang Jiali, Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of . 2015,第8期

机译：使用模拟的Sentinel-2数据评估叶绿素相关的植被指数，以估算吸收的光合有效辐射的作物分数
2. Cross-Comparison of Vegetation Indices Derived from Landsat-7 Enhanced Thematic Mapper Plus (ETM+) and Landsat-8 Operational Land Imager (OLI) Sensors [J] . Luguang Jiang, Peng Li, Zhiming Feng Remote Sensing . 2013,第1期

机译：Landsat-7增强型专题测绘仪增强版（ETM +）和Landsat-8实用土地成像仪（OLI）传感器得出的植被指数的交叉比较
3. Monitoring Andean high altitude wetlands in central Chile with seasonal optical data: A comparison between Worldview-2 and Sentinel-2 imagery [J] . Araya-Lopez Rocio A., Lopatin Javier, Fassnacht Fabian E., ISPRS Journal of Photogrammetry and Remote Sensing . 2018,第NOVa期

机译：使用季节性的光学数据监测智利中部的安第斯高原湿地：Worldview-2和Sentinel-2影像之间的比较
4. Evaluation and cross-comparison of vegetation indices for crop monitoring from sentinel-2 and worldview-2 images [C] . Emmanouil Psomiadis, Nicholas Dercas, Nicolas R. Dalezios, Conference on remote sensing for agriculture, ecosystems, and hydrology XIX . 2017

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
5. An evaluation of two data sources and their effectiveness for vegetation monitoring in developing countries using Normalized Difference Vegetation Indices (NDVI). [D] . Gauthier, Vicki Lee Ann. 1998

机译：使用归一化植被指数（NDVI）评价了两个数据源及其对发展中国家植被监测的有效性。
6. Evaluation of Soil Management Effect on Crop Productivity and Vegetation Indices Accuracy in Mediterranean Cereal-Based Cropping Systems [O] . Roberto Orsini, Marco Fiorentini, Stefano Zenobi 2020

机译：土壤管理对地中海谷物农作物系统作物生产力和植被指数准确性的影响评估
7. Cross-Comparison of Vegetation Indices Derived from Landsat-7 Enhanced Thematic Mapper Plus (ETM+) and Landsat-8 Operational Land Imager (OLI) Sensors [O] . Peng Li, Luguang Jiang, Zhiming Feng 2013

机译：来自Landsat-7增强型专题制图仪（ETm +）和Landsat-8操作陆地成像仪（OLI）传感器的植被指数的交叉比较

Evaluation and cross-comparison of vegetation indices for crop monitoring from sentinel-2 and worldview-2 images

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