Mapping crop cover using multi-temporal Landsat 8 OLI imagery
Mapping crop cover using multi-temporal Landsat 8 OLI imagery
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DOI：
10.1080/01431161.2017.1323286
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发表时间：
2017-05
影响因子：
3.4
通讯作者：
Rei Sonobe;Yukie Yamaya;H. Tani;Xiufeng Wang;N. Kobayashi;K. Mochizuki
中科院分区：
文献类型：
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作者：
Rei Sonobe;Yukie Yamaya;H. Tani;Xiufeng Wang;N. Kobayashi;K. Mochizuki
摘要作物分类图可用于估计作物收获量，这有助于应对粮食安全方面的挑战。遥感技术是制作作物图的有用工具。光学遥感是最有吸引力的选择之一，因为它提供的植被指数（维斯）经常重访，并具有足够的空间和光谱分辨率，有些数据是免费分发的。然而，还没有充分考虑到潜在的维斯计算陆地卫星8业务陆地成像仪（OLI）数据。本文介绍了利用Landsat 8 OLI数据对日本北海道的农作物进行分类。除反射率外，还评估了由两个或多个反射率波段组合组成的简单公式计算的维斯，以及Kauth-Thomas变换的六个分量。基于短波红外波段（波段6或7）的维斯提高了分类精度，并使用从Landsat 8 OLI数据中获得的所有数据的组合，导致94.5%的总体精度（分配分歧= 4.492和数量分歧= 1.017）。
ABSTRACT Crop classification maps are useful for estimating amounts of crops harvested, which could help address challenges in food security. Remote-sensing techniques are useful tools for generating crop maps. Optical remote sensing is one of the most attractive options because it offers vegetation indices (VIs) with frequent revisits and has adequate spatial and spectral resolution and some data has been distributed free of charge. However, sufficient consideration has not been given to the potential of VIs calculated from Landsat 8 Operational Land Imager (OLI) data. This article describes the use of Landsat 8 OLI data for the classification of crops in Hokkaido, Japan. In addition to reflectance, VIs calculated from simple formulas that consisted of combinations of two or more reflectance wavebands were evaluated, as well as the six components of the Kauth–Thomas transform. The VIs based on shortwave infrared bands (bands 6 or 7) improved classification accuracy, and using a combination of all derived data from Landsat 8 OLI data resulted in an overall accuracy of 94.5% (allocation disagreement = 4.492 and quantity disagreement = 1.017).