CaneSat
收藏资源简介：
This dataset contains multispectral high resolution 1627 image patches of size 10 x 10 pixels with each pixel size of 10mx10m. These patches are generated from the Sentinel-2 (A/B) satellite images acquired during the period of October 2018 to May 2019. It covered one life cycle (12 months) of the sugarcane crop in the region of the Karnataka, India. Many parameters like plantation season, soil type, plantation type, crop variety and irrigation type that affects the growth of the sugarcane crop are considered while generating the samples. Along with sugarcane crop field areas other land covers are also included for classification purpose. The dataset provides two formats: jpg and tif. Former format includes images with RGB channels and later format includes six bands namely, Red, Green, Blue, Near Infrared, Red Edge and Short-wave infrared. Dataset also provides 3 vegetation indices .tif images such as enhanced vegetation index (EVI), normalized difference vegetation index (NDVI) and green normalized difference vegetation index (GNDVI) separately. All tif image patches are georeferenced and labeled. The focus of this dataset is to support further research in sugarcane crop classification especially in India.
本数据集包含1627幅尺寸为10×10像素的多光谱高分辨率图像块，每个像素对应10米×10米的实地覆盖范围。这些图像块源自2018年10月至2019年5月期间获取的Sentinel-2（A/B）卫星影像。数据集覆盖了印度卡纳塔克邦地区甘蔗作物的完整生长周期（12个月）。在生成样本过程中，已纳入诸多影响甘蔗生长的关键参数，包括种植季、土壤类型、种植模式、作物品种与灌溉方式等。为满足分类任务需求，数据集除涵盖甘蔗田区域外，还包含其他土地覆盖类型。数据集提供JPEG与TIFF两种存储格式：其中JPEG格式包含RGB三通道影像，TIFF格式则包含红、绿、蓝、近红外、红边以及短波红外共6个光谱波段。此外，数据集还单独提供3种植被指数的TIFF影像，分别为增强型植被指数（Enhanced Vegetation Index, EVI）、归一化差异植被指数（Normalized Difference Vegetation Index, NDVI）以及绿色归一化差异植被指数（Green Normalized Difference Vegetation Index, GNDVI）。所有TIFF图像块均已完成地理配准并带有标注信息。本数据集旨在为印度地区的甘蔗作物分类相关后续研究提供支撑。
