AI4AGRI HyDACI6 PRISMA-based data over Brasov area for agricultural crop identification

The HyDACI6 dataset was produced within the framework of the AI4AGRI European project GA 101079136. HyDACI stands for Hyperspectral Dataset for Agricultural Crop Identification. The AI4AGRI HyDACIA6 data set contains six hyperspectral images derived from the PRISMA mission data from year 2024 over a specific area to the north of Brașov city, Romania. The original PRISMA data was kindly provided by the Italian Space Agency (ASI) and this derived dataset is made publicly available as open data with written permission from ASI. The data set also includes a mask, the crop legend, and the wavelengths of the image spectral bands. The directory images_2024 contains the 6 Level 2C PRISMA data-derived hyperspectral images over the area of interest. The images are named with the acquisition date and saved in .mat format. The dimensions of the images are 700 x 700 x 187, specifically, each image has a height of 700 pixels, a width of 700 pixels and 187 spectral bands, with a spatial resolution of 30 meters. From the original 239 spectral bands, the water absorption bands were eliminated. The spectral bands (wavelengths) are expressed in nm and provided in .csv and .xls formats. The directory mask_legend contains the ground truth of agricultural crops as a colour RGB mask in .png format and the labels corresponding to each agricultural crop in both .png and .mat formats. The mask was manually generated on the PRISMA image acquired on 14 May 2024 and may not be perfectly aligned at pixel-level in all the other images. The same directory also contains the legend for the colours of the mask in .pdf format, using the colour codes from the US Department of Agriculture. The ground truth was generated based on the information provided by the National Institute of Research and Development for Potato and Sugar Beet Brașov, Romania. The directory RGB_composites contains the color RGB visualization of the hyperspectral data using the approach presented in I. C. Plajer, A. Băicoianu, L. Majercsik and M. Ivanovici, "Multisource Remote Sensing Data Visualization Using Machine Learning," in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-12, 2024, Art no. 5510912, DOI: 10.1109/TGRS.2024.3372639. Funded by the European Union. The AI4AGRI project entitled “Romanian Excellence Center on Artificial Intelligence on Earth Observation Data for Agriculture” received funding from the European Union’s Horizon Europe research and innovation programme under the grant agreement no. 101079136. Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them. PRISMA Product - © Italian Space Agency (ASI) 2024. All rights reserved. Data generated by AI4AGRI Research Excellence Centre at Transilvania University of Brasov, Romania under a license from ASI Original PRISMA Product - © Italian Space Agency (ASI) – 2024.HyDACI6数据集是在欧盟AI4AGRI项目（编号GA 101079136）框架下生成的。HyDACI全称为农业作物识别高光谱数据集（Hyperspectral Dataset for Agricultural Crop Identification）。AI4AGRI项目的HyDACIA6数据集包含6幅高光谱影像，均源自2024年PRISMA任务获取的、覆盖罗马尼亚布拉索夫市以北特定区域的原始数据。原始PRISMA数据由意大利空间局（Italian Space Agency, ASI）友好提供，本衍生数据集经ASI书面许可后以开放数据形式公开发布。该数据集还包含掩膜、作物图例以及影像光谱波段的波长信息。 目录images_2024包含6幅基于PRISMA任务2级C类（Level 2C）数据衍生的目标区域高光谱影像。影像以获取日期命名，存储格式为.mat。影像尺寸为700×700×187，即单幅影像高700像素、宽700像素，共包含187个光谱波段，空间分辨率为30米。原始PRISMA数据共包含239个光谱波段，本数据集已剔除其中的水汽吸收波段。光谱波段（波长）单位为纳米（nm），以.csv和.xls格式提供。 目录mask_legend包含以.png格式存储的农业作物真值RGB掩膜，以及以.png和.mat格式存储的各农业作物对应标签。该掩膜基于2024年5月14日获取的PRISMA影像手动生成，在其余影像中可能无法实现完全的像素级对齐。该目录还包含以.pdf格式存储的掩膜颜色图例，其颜色编码采用美国农业部（US Department of Agriculture）标准。本真值标签基于罗马尼亚布拉索夫国家马铃薯与甜菜研发研究院提供的信息生成。 目录RGB_composites包含基于高光谱数据生成的RGB彩色可视化结果，可视化方法采用I. C. Plajer、A. Băicoianu、L. Majercsik与M. Ivanovici在2024年发表于《IEEE地球科学与遥感学报（IEEE Transactions on Geoscience and Remote Sensing）》第62卷，文章编号5510912，DOI:10.1109/TGRS.2024.3372639的论文"Multisource Remote Sensing Data Visualization Using Machine Learning"中提出的方案。 本项目获欧盟资助。题为“罗马尼亚农业对地观测数据人工智能卓越中心”的AI4AGRI项目，根据grant agreement No.101079136，从欧盟地平线欧洲（Horizon Europe）研究与创新计划获得经费支持。需说明的是，本文所表达的观点仅代表作者本人，不一定代表欧盟的立场，欧盟及资助机构对此不承担任何责任。 PRISMA产品——©意大利空间局（ASI）2024年版权所有，保留一切权利。 本数据集由罗马尼亚布拉索夫特兰西瓦尼亚大学AI4AGRI研究卓越中心基于ASI许可生成，原始PRISMA产品版权归意大利空间局（ASI）所有，©2024年。