VEGETATIVE VIGOR OF MAIZE CROP OBTAINED THROUGH VEGETATION INDEXES IN ORBITAL AND AERIAL SENSORS IMAGES

Revista Brasileira de Engenharia de Biossistemas Pub Date : 2019-09-30 DOI:10.18011/bioeng2019v13n3p195-206

L. S. Santana, G. Ferraz, L.M.D. Santos, D. Maciel, R.A.P. Barata, É. F. Reynaldo, G. Rossi

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引用次数: 4

Abstract

Currently, images from unmanned aerial vehicles (UAVs) are being used due to their high spatial and temporal resolution. Studies comparing different mobile data acquisition platforms, such as satellites, are important due to the limited spatial and temporal resolution of some satellites as well of the presence of clouds in such images. The objective of this study was to compare the vegetation indices (VIs) generated from images obtained by orbital (satellite) and sub-orbital (unmanned aerial vehicles - UAV) platforms. The experiment was conducted in a maize-growing area in Paraná, Brazil. Landsat 8 and UAV images of the study area were collected. Four VIs were applied: NDVI, VIgreen, ExG and VEG. The NDVI was selected as the control and compared with the other VIs. There was a good correlation (0.79) between the NDVI and the VEG for the UAV images. For the Landsat images, the highest correlation found was between the NDVI and the VIgreen derived from UAV images, which was 0.89. It is concluded that the images obtained by UAVs generated better indices, mainly in the dry season.

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利用轨道和航空遥感影像中的植被指数获取玉米作物的营养活力

目前，无人机的图像由于其高空间和时间分辨率而被使用。由于一些卫星的空间和时间分辨率有限，以及这些图像中存在云，因此比较不同的移动数据采集平台（如卫星）的研究很重要。本研究的目的是比较由轨道（卫星）和亚轨道（无人机）平台获得的图像生成的植被指数。该试验在巴西巴拉那的一个玉米种植区进行。收集了研究区域的陆地卫星8号和无人机图像。应用四种VI：NDVI、VIgreen、ExG和VEG。选择NDVI作为对照，并与其他VI进行比较。无人机图像的NDVI和VEG之间存在良好的相关性（0.79）。对于陆地卫星图像，NDVI和无人机图像得出的VIgreen之间的相关性最高，为0.89。结果表明，无人机获得的图像产生了更好的指标，主要是在旱季。

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