Combining Multiple Geospatial Data for Estimating Aboveground Biomass in North Carolina Forests
Combining Multiple Geospatial Data for Estimating Aboveground Biomass in North Carolina Forests
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DOI：
10.3390/rs13142731
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发表时间：
2021-07
期刊：
影响因子：
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通讯作者：
L. Beni;L. Kurkalova;T. Mulrooney;Chinazor S. Azubike
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文献类型：
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作者：
L. Beni;L. Kurkalova;T. Mulrooney;Chinazor S. Azubike
绘制和量化森林清单对于管理和发展森林以保护自然资源和评估可用于生物能源生产的地上森林生物量至关重要。对于地理不同的地区，例如美国东南部的北卡罗来纳州，依赖于传统的、空间稀疏的野外调查样本的AGFB估计程序构成了一个问题。我们提出了一种结合多个地理空间数据的替代AGFB估计程序。该程序使用土地覆盖图将林地面积分配给不同的森林类型；使用光探测和测距(LiDAR)数据评估树高；使用将树高与AGFB相关联的区域和树木类型特定函数来计算总面积AGFB。我们演示了一个选定的北卡罗来纳州地区的程序，在杜普林县随机选择的2.3平方公里的地区。基于森林调查分析(FIA)数据对树木直径函数进行了统计估计，并对两种公开可用的开源土地覆盖图--作物数据层(CDL)和国家土地覆盖数据库(NLCD)--进行了比较，以此作为研究区森林位置和类型的信息来源。从CDL和NLCD数据得出的林地制图的一致性评估使我们能够估计两种广泛使用的替代地图之间的不一致如何影响AGFB估计。我们提出的方法和结果预计将补充和指导对该地区木本植物生物量的大规模评估。
Mapping and quantifying forest inventories are critical for the management and development of forests for natural resource conservation and for the evaluation of the aboveground forest biomass (AGFB) technically available for bioenergy production. The AGFB estimation procedures that rely on traditional, spatially sparse field inventory samples constitute a problem for geographically diverse regions such as the state of North Carolina in the southeastern U.S. We propose an alternative AGFB estimation procedure that combines multiple geospatial data. The procedure uses land cover maps to allocate forested land areas to alternative forest types; uses the light detection and ranging (LiDAR) data to evaluate tree heights; calculates the area-total AGFB using region- and tree-type-specific functions that relate the tree heights to the AGFB. We demonstrate the procedure for a selected North Carolina region, a 2.3 km2 area randomly chosen in Duplin County. The tree diameter functions are statistically estimated based on the Forest Inventory Analysis (FIA) data, and two publicly available, open source land cover maps, Crop Data Layer (CDL) and National Land Cover Database (NLCD), are compared and contrasted as a source of information on the location and typology of forests in the study area. The assessment of the consistency of forestland mapping derived from the CDL and the NLCD data lets us estimate how the disagreement between the two alternative, widely used maps affects the AGFB estimation. The methodology and the results we present are expected to complement and inform large-scale assessments of woody biomass in the region.