Queensland Brigalow Belt Bioregion Spatial BioCondition, 2019, Version 1.0

Version 1 of the Brigalow Belt Bioregion Spatial BioCondition dataset is superseded by the Version 2 dataset that can be found at: https://doi.org/10.25901/rnqz-cn10.

Version 1 was an initial demonstration version. The version 1 data has been removed from publication to negate temporal comparisons between v1 (2019) and v2 (2021), as this is a future goal for the product but still in development phase.

This was a spatial dataset comprising predictions of vegetation condition for biodiversity for the brigalow belt bioregion. The dataset was created using a gradient boosting decision tree (GBDT) model based on eight vegetation specific remote sensing (RS) datasets and 17,000 training sites of known vegetation community and condition state. Condition score was modelled as a function of the difference in the RS space within homogeneous vegetation communities. The product was intended to represent predicted BioCondition for year 2019 rather than any single date.

布里戈洛带（Brigalow Belt）生物区空间生物状况数据集第1版已被第2版数据集取代，第2版数据集可通过以下链接获取：https://doi.org/10.25901/rnqz-cn10。

第1版为初始演示版本，现已从公开发布渠道移除，以避免对2019年发布的v1与2021年发布的v2进行时间维度上的对比——该跨版本对比功能是本产品的未来规划目标，但目前仍处于开发阶段。

本数据集为空间数据集，包含针对布里戈洛带生物区生物多样性的植被状况预测结果。其构建采用了梯度提升决策树（Gradient Boosting Decision Tree, GBDT）模型，基于8项植被专用遥感（Remote Sensing, RS）数据集以及17000个已知植被群落与状况状态的训练样点。研究将状况评分建模为同质植被群落内遥感空间差异的函数。本产品旨在表征2019年度的预测生物状况，而非某一单一日期的状况。