TreeMap 2016数据集生成conus范围内的森林特征图,包括活基面积、地上碳和每英亩树木数量

K. Riley, Isaac C. Grenfell, J. Shaw, M. Finney
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引用次数: 1

摘要

TreeMap 2016数据集以30 × 30米的分辨率提供了关于美国大陆整个森林范围的森林特征的详细空间信息,包括活树和死树的数量、生物量和碳,从而可以在森林清查不足的更精细尺度上进行分析。我们使用随机森林机器学习算法将最相似的森林清查分析(FIA)图分配给网格化LANDFIRE输入数据的每个像素。TreeMap 2016方法将扰动作为响应变量,从而提高了绘制扰动区域的准确性。与LANDFIRE地图相比,森林覆盖、高度、植被组和干扰代码的类内精度超过90%。在57.5%的森林覆盖、80.0%的高度、80.0%的最高基底面积树种和87.4%的干扰中,在验证图的半径内至少有一个像元与预测值匹配。该数据集的一个新功能是,它包含了在TreeMap栅格中包含的属性表中选择FIA数据的链接,允许用户在GIS中绘制21个变量的摘要。在州一级的活树和死树数量以及活树和死树中储存的碳量方面,TreeMap的估计与FIA的估计比较有利。研究意义:TreeMap 2016提供了美国大陆30 × 30米分辨率的网格化森林地图。每个网格单元的属性包括一组森林特征,包括生物量、碳、森林类型以及活树和死树的数量。用户可以很容易地在GIS中生成这些特征的地图和摘要。TreeMap还包括一个数据库,其中包含每个像素的树列表,其中包含每棵树的种类、直径和高度。私营部门正在使用TreeMap进行碳估算,国家森林系统的土地管理人员正在使用TreeMap调查有关燃料处理和森林生产力以及森林计划修订的问题。
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TreeMap 2016 Dataset Generates CONUS-Wide Maps of Forest Characteristics Including Live Basal Area, Aboveground Carbon, and Number of Trees per Acre
The TreeMap 2016 dataset provides detailed spatial information on forest characteristics including number of live and dead trees, biomass, and carbon across the entire forested extent of the continental United States at 30 × 30m resolution, enabling analyses at finer scales where forest inventory is inadequate. We used a random forests machine learning algorithm to assign the most similar Forest Inventory Analysis (FIA) plot to each pixel of gridded LANDFIRE input data. The TreeMap 2016 methodology includes disturbance as a response variable, resulting in increased accuracy in mapping disturbed areas. Within-class accuracy was over 90% for forest cover, height, vegetation group, and disturbance code when compared to LANDFIRE maps. At least one pixel within the radius of validation plots matched the class of predicted values in 57.5% of cases for forest cover, 80.0% for height, 80.0% for tree species with highest basal area, and 87.4% for disturbance. A new feature of the dataset is that it includes linkages to select FIA data in an attribute table included with the TreeMap raster, allowing users to map summaries of 21 variables in a GIS. TreeMap estimates compared favorably with those from FIA at the state level for number of live and dead trees and carbon stored in live and dead trees. Study Implications: TreeMap 2016 provides a 30 × 30 m resolution gridded map of the forests of the continental United States. Attributes of each grid cell include a suite of forest characteristics including biomass, carbon, forest type, and number of live and dead trees. Users can readily produce maps and summaries of these characteristics in a GIS. The TreeMap also includes a database containing, for each pixel, a list of trees with the species, diameter, and height of each tree. TreeMap is being used in the private sector for carbon estimation and by land managers in the National Forest system to investigate questions pertaining to fuel treatments and forest productivity as well as Forest Plan revisions.
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