Multispectral Remote Sensing from Unmanned Aircraft: Image Processing Workflows and Applications for Rangeland Environments
Multispectral Remote Sensing from Unmanned Aircraft: Image Processing Workflows and Applications for Rangeland Environments
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DOI：
10.3390/rs3112529
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发表时间：
2011-11-01
期刊：
影响因子：
5
通讯作者：
Rango, Albert
中科院分区：
文献类型：
--
作者：
Laliberte, Andrea S.;Goforth, Mark A.;Rango, Albert
使用无人驾驶飞机系统（UAS）作为遥感平台提供了独特的能力，重复部署，在非常高的空间分辨率的高时间分辨率的数据采集。文献中关于无人机系统的多光谱遥感应用的报道少于使用可见波段的应用，尽管用于无人机系统的轻型多光谱传感器正在得到越来越多的使用。在本文中，我们描述的挑战和解决方案，有效地处理多光谱图像，以获得正射校正，辐射校准的图像镶嵌牧场植被分类的目的。我们开发了自动批处理方法，用于文件转换、波段间配准、辐射校正和正射校正。一个基于对象的图像分析方法被用来获得一个物种级的植被分类的图像镶嵌与87%的整体精度。我们获得了良好的相关性：（1）地面和空中光谱反射率（R-2 = 0.92）;（2）来自空中和WorldView-2卫星数据的光谱反射率为选定的植被和土壤目标。UAS获得的多谱段图像为牧场应用提供了高质量的高分辨率信息，并有可能利用高分辨率卫星图像将数据扩大到更大的地区。
Using unmanned aircraft systems (UAS) as remote sensing platforms offers the unique ability for repeated deployment for acquisition of high temporal resolution data at very high spatial resolution. Multispectral remote sensing applications from UAS are reported in the literature less commonly than applications using visible bands, although light-weight multispectral sensors for UAS are being used increasingly.. In this paper, we describe challenges and solutions associated with efficient processing of multispectral imagery to obtain orthorectified, radiometrically calibrated image mosaics for the purpose of rangeland vegetation classification. We developed automated batch processing methods for file conversion, band-to-band registration, radiometric correction, and orthorectification. An object-based image analysis approach was used to derive a species-level vegetation classification for the image mosaic with an overall accuracy of 87%. We obtained good correlations between: (1) ground and airborne spectral reflectance (R-2 = 0.92); and (2) spectral reflectance derived from airborne and WorldView-2 satellite data for selected vegetation and soil targets. UAS-acquired multispectral imagery provides quality high resolution information for rangeland applications with the potential for upscaling the data to larger areas using high resolution satellite imagery.