Switcher-HNet: A switchable hierarchical network for tree species classification from forest stand to individual tree tasks

Hierarchical Individual Tree (HIT) Dataset
Area: Maoer_mountain_HSI_CHM_Field_data
The HIT Dataset (Maoer Mountain area) is a multi-source ecological dataset collected in the Maoer Mountain region, a biodiversity-rich area located in Harbin, Northeast of China.
This dataset supports research in forest ecology, species distribution modeling, remote sensing, and biodiversity conservation. It integrates high-resolution hyperspectral imagery (HSI), canopy height models (CHMs), and ground-validated field data to enable detailed tree species identification and forest structure analysis.
The HSI is characterized by a spatial resolution of approximately 0.2 meters per pixel, georeferenced to the WGS84 geographic coordinate system. It covers a spectral range of 387.8 to 1025.5 nm, distributed across 150 contiguous bands with an average spectral bandwidth of 4.28 nm.The CHMs are a single-band raster dataset aligned with the HSI, encoded in 32-bit floating-point format. It has a ground sampling distance of 0.250 × 0.250 meters and is georeferenced to a projected coordinate system based on the WGS84 datum.
The field data include the primary tree species of Northeast China, such as Pinus koraiensis and a variety of broadleaf species.