Vegetation classification map and covariates associated with NEON AOP survey, East River, CO 2018

The package is composed of: - Classification vegetation map.zip: it contains the classification map (PNG, geotiff), which is derived from hyperspectral and LiDAR airborne data acquired by the NEON AOP in June 2018 using a machine learning approach, and the class code (csv) showing the corresponding vegetation class to pixel values. - Classification_reference_data.zip (csv): it contains reference data used in the machine learning procedure to predict vegetation and non-vegetation classes; - LiDAR_derived_products.zip (geotiff): elevation, slope, curvature, Topographic Wetness Index (TWI), Topographic Position Index (TPI), solar insolation, canopy height model (CMD). The topographical metrics were smoothed with a 5x5 pixel window; - Vegetation_indices.zip (geotiff): Normalized Difference Vegetation Index, Normalized Difference Nitrogen Index, Normalized Difference Water Index; - Cloud_shadow_urban_masks.zip (geotiffs): Masks of clouds and shadows that were applied to the mapping; - Covariates_10mGrid_vegetationClasses_topographicMetrics_soilProperties.zip (csv): 10-m gridded data that integrate all the previous datasets as well as geophysical data. Geotiffs can be visualized with any GIF software or library able to handle geotiff images. CSV can be open with any software able to handle comma-separated values files.

本数据集包包含以下内容：
- 植被分类图.zip：包含植被分类图（格式为PNG、GeoTIFF），该图基于2018年6月由NEON AOP获取的高光谱与机载激光雷达（LiDAR）数据，采用机器学习方法生成；同时包含类别编码文件（CSV格式），用于标注各像素值对应的植被类别。
- 分类参考数据.zip（CSV格式）：包含用于机器学习流程中预测植被与非植被类别的参考数据集。
- 激光雷达衍生数据集.zip（GeoTIFF格式）：包含高程、坡度、曲率、地形湿度指数（TWI）、地形位置指数（TPI）、太阳辐射量以及冠层高度模型（CMD）。上述地形指标均通过5×5像素窗口进行平滑处理。
- 植被指数数据集.zip（GeoTIFF格式）：包含归一化差分植被指数（Normalized Difference Vegetation Index）、归一化差分氮指数（Normalized Difference Nitrogen Index）以及归一化差分水指数（Normalized Difference Water Index）。
- 云、阴影与城市掩膜数据集.zip（GeoTIFF格式）：包含用于植被分类制图的云与阴影掩膜数据。
- 10米格网协变量-植被类别-地形指标-土壤属性数据集.zip（CSV格式）：包含整合了前述所有数据集与地球物理数据的10米格网数据。

GeoTIFF文件可通过任意支持GeoTIFF图像格式的GIF软件或库进行可视化；CSV文件可通过任意支持逗号分隔值格式的软件打开。