首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Estimating aboveground biomass using Landsat 7 ETM+ data across a managed landscape in northern Wisconsin, USA
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Estimating aboveground biomass using Landsat 7 ETM+ data across a managed landscape in northern Wisconsin, USA

机译:使用Landsat 7 ETM +数据估算美国威斯康星州北部受管理景观的地上生物量

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Aboveground biomass (AGB; Mg/ha) is defined in this study as a biomass of growing stock trees greater than 2.5 cm in diameter at breast height (dbh) for stands >5 years and all trees taller than 1.3 m for stands <5 years. Although AGB is an important variable for evaluating ecosystem function and structure across the landscape, such estimates are difficult to generate without high-resolution satellite data. This study bridges the application of remote sensing techniques with various forest management practices in Chequamegon National Forest (CNF), Wisconsin, USA by producing a high-resolution stand age map and a spatially explicit AGB map. We coupled AGB values, calculated from field measurements of tree dbh, with various vegetation indices derived from Landsat 7 ETM+ data through multiple regression analyses to produce an initial biomass map. The initial biomass map was overlaid with a land-cover map to generate a stand age map. Biomass threshold values for each age category (e.g., young, intermediate, and mature) were determined through field observations and frequency analysis of initial biomass estimates by major cover types. We found that AGB estimates for hardwood forests were strongly related to stand age and near-infrared reflectance (r{sup}2=0.95) while the AGB for pine forests was strongly related to the corrected normalized difference vegetation index (NDVIc; r{sup}2=0.86). Separating hardwoods from pine forests improved the AGB estimates in the area substantially, compared to overall regression (r{sup}2=0.82). Our AGB results are comparable to previously reported values in the area. The total amount of AGB in the study area for 2001 was estimated as 3.3 million metric tons (dry weight), 76.5% of which was in hardwood and mixed hardwood/pine forests. AGB ranged from 1 to 358 Mg/ha with an average of 70 and a standard deviation of 54 Mg/ha. The AGB class with the highest percentage (16.1%) was between 81 and 100 Mg/ha. Forests with biomass values >200 Mg/ha accounted for less than 3% of the study area and were usually associated with mature hardwood forests. Estimated AGB was validated using independent field measurements (R{sup}2=0.67, p<0.001). The AGB and age maps can be used as baseline information for future landscape level studies such as quantifying the regional carbon budget, accumulating fuel, or monitoring management practices.
机译:在本研究中,地上生物量(AGB; Mg / ha)定义为:> 5年的林分,胸径(dbh)直径大于2.5 cm的生长立木的生物量,<5年的林分,所有树高大于1.3 m的生物量。尽管AGB是评估整个景观中生态系统功能和结构的重要变量,但是如果没有高分辨率卫星数据,则很难生成这样的估计值。这项研究通过生成高分辨率的林分年龄图和空间明确的AGB图,将遥感技术的应用与美国威斯康星州切夸梅贡国家森林(CNF)的各种森林管理实践联系起来。通过多次回归分析,我们将从树dbh的实地测量值计算出的AGB值与从Landsat 7 ETM +数据得出的各种植被指数相结合,以生成初始生物量图。初始生物量图与土地覆盖图叠加以生成林分年龄图。通过现场观察和主要覆盖物类型对初始生物量估算值的频率分析来确定每个年龄类别(例如,年轻,中级和成熟)的生物量阈值。我们发现,阔叶林的AGB估计值与林分龄和近红外反射率(r {sup} 2 = 0.95)密切相关,而松树林的AGB值与校正后的归一化差异植被指数(NDVIc; r {sup } 2 = 0.86)。与总体回归相比,将阔叶树与松树林分开可以显着提高该地区的AGB估算值(r {sup} 2 = 0.82)。我们的AGB结果与该地区以前报告的值相当。研究区2001年的AGB总量估计为330万吨(干重),其中76.5%来自硬木和硬木/松木混交林。 AGB范围从1到358 Mg / ha,平均为70,标准偏差为54 Mg / ha。百分比最高的AGB类(16.1%)在81至100 Mg / ha之间。生物量值> 200 Mg / ha的森林占研究面积的不到3%,通常与成熟的硬木森林有关。估计的AGB使用独立的现场测量进行了验证(R {sup} 2 = 0.67,p <0.001)。 AGB和年龄图可以用作未来景观水平研究的基准信息,例如量化区域碳预算,积累燃料或监测管理实践。

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