实现全球空间激光雷达生物量:为 ICESat-2 激光测高数据开发和应用北方森林生物量模型

IF 5.7 Q1 ENVIRONMENTAL SCIENCES Science of Remote Sensing Pub Date : 2024-07-16 DOI:10.1016/j.srs.2024.100150
A. Neuenschwander , L. Duncanson , P. Montesano , D. Minor , E. Guenther , S. Hancock , M.A. Wulder , J.C. White , M. Purslow , N. Thomas , A. Mandel , T. Feng , J. Armston , J.R. Kellner , H.E. Andersen , L. Boschetti , P. Fekety , A. Hudak , J. Pisek , N. Sánchez-López , K. Stereńczak
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引用次数: 0

摘要

天基激光测高法通过直接观测植被结构及其下的地形,彻底改变了我们描述陆地生态系统特征的能力。美国国家航空航天局 ICESat-2 任务提供的数据首次通过天基激光雷达全面观测了北方森林的冠层结构。这项研究的目的是以30米的空间分辨率为全球整个北方森林创建ICESat-2地面生物量密度(AGBD)模型,并将这些模型应用于2019-2021年期间的ICESat-2数据。ICESat-2虽然在浓密冠层方面受到限制,但它是唯一能够绘制北纬植被图的天基激光测高仪。在 ICESat-2 的每条轨道上,地面和植被高度都会被捕获,并需要额外的建模来确定生物量的特征。通过采用与 GEDI 类似的方法估算 AGBD,ICESat-2 的 AGBD 估算值可以补充 GEDI 的估算值,对全球地上碳进行全面核算。利用一套对北方森林的实地测量数据和同期机载激光雷达数据,在许多实地地点模拟了ICESat-2光子,并测试了两种计算相对高度(RH)指标的方法对沿轨迹空间分辨率为30米的AGBD的影响;有地面光子和无地面光子。AGBD模型是专门为土地覆盖为常绿针叶树或落叶阔叶树的ICESat-2区段而开发的,而针对土地覆盖既非常绿针叶树也非落叶阔叶树的ICESat-2区段,则开发了广义的全北半球AGBD模型。将我们的 AGBD 模型应用于 1,900 多万个 ICESat-2 观测数据集,可得到泛北半球 30 米沿轨迹 AGBD 产品。本文展示的以30米空间分辨率计算ICESat-2生物量估算值的能力为全面、空间明确的全球地面生物量核算提供了科学依据。
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Towards global spaceborne lidar biomass: Developing and applying boreal forest biomass models for ICESat-2 laser altimetry data

Space-based laser altimetry has revolutionized our capacity to characterize terrestrial ecosystems through the direct observation of vegetation structure and the terrain beneath it. Data from NASA's ICESat-2 mission provide the first comprehensive look at canopy structure for boreal forests from space-based lidar. The objective of this research was to create ICESat-2 aboveground biomass density (AGBD) models for the global entirety of boreal forests at a 30 m spatial resolution and apply those models to ICESat-2 data from the 2019–2021 period. Although limited in dense canopy, ICESat-2 is the only space-based laser altimeter capable of mapping vegetation in northern latitudes. Along each ICESat-2 orbit track, ground and vegetation height is captured with additional modeling required to characterize biomass. By implementing a similar methodology of estimating AGBD as GEDI, ICESat-2 AGBD estimates can complement GEDI's estimates for a full global accounting of aboveground carbon. Using a suite of field measurements with contemporaneous airborne lidar data over boreal forests, ICESat-2 photons were simulated over many field sites and the impact of two methods of computing relative height (RH) metrics on AGBD at a 30 m along-track spatial resolution were tested; with and without ground photons. AGBD models were developed specifically for ICESat-2 segments having land cover as either Evergreen Needleleaf or Deciduous Broadleaf Trees, whereas a generalized boreal-wide AGBD model was developed for ICESat-2 segments whose land cover was neither. Applying our AGBD models to a set of over 19 million ICESat-2 observations yielded a 30 m along-track AGBD product for the pan-boreal. The ability demonstrated herein to calculate ICESat-2 biomass estimates at a 30 m spatial resolution provides the scientific underpinning for a full, spatially explicit, global accounting of aboveground biomass.

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