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How to consider the effects of time of day, beam strength, and snow cover in ICESat-2 based estimation of boreal forest biomass?
Remote Sensing of Environment ( IF 13.5 ) Pub Date : 2022-07-25 , DOI: 10.1016/j.rse.2022.113174
P. Varvia, L. Korhonen, A. Bruguière, J. Toivonen, P. Packalen, M. Maltamo, S. Saarela, S.C. Popescu

The objective of this study was to explore the effects of (1) the presence/absence of snow and snow depth, (2) solar noise, i.e., day/night and sun angle observations, and (3) strong/weak beam differences on ICESat-2 data in the context of data utility for forest AGB estimation. The framework of the study is multiphase modeling, where AGB field data and wall-to-wall airborne laser scanning (ALS) and Sentinel-2 data are used to produce proxy ALS plots on ICESat-2 track positions. Models between the predicted proxy AGB and the ICESat-2 photon data are then formulated and evaluated by subsets, such as only strong beam data captured in snowy conditions.

Our results indicate that, if possible, strong beam night data from snowless conditions should be used in AGB estimation, because our models showed clearly smallest RMSE (26.9%) for this data subset. If more data are needed, we recommend using only strong beam data and constructing separate models for the different data subsets. In the order of increasing RMSE%, the next best options were snow/night/strong (30.4%), snow/day/strong (33.5%), and snowless/day/strong (34.1%). Weak beam data from snowy night conditions could also be used if necessary (31.0%).



中文翻译:

在基于 ICESat-2 的北方森林生物量估计中,如何考虑一天中的时间、光束强度和积雪的影响?

本研究的目的是探讨 (1) 有无积雪和积雪深度,(2) 太阳噪声,即日/夜和太阳角度观测,以及 (3) 强/弱光束差异对ICESat-2 数据在森林 AGB 估计数据效用的背景下。该研究的框架是多相建模,其中 AGB 场数据和墙到墙机载激光扫描 (ALS) 和 Sentinel-2 数据用于在 ICESat-2 轨道位置上生成代理 ALS 图。然后,预测的代理 AGB 和 ICESat-2 光子数据之间的模型由子集制定和评估,例如仅在下雪条件下捕获的强光束数据。

我们的结果表明,如果可能的话,应该在 AGB 估计中使用来自无雪条件的强光束夜间数据,因为我们的模型清楚地显示了该数据子集的最小 RMSE(26.9%)。如果需要更多数据,我们建议仅使用强光束数据并为不同的数据子集构建单独的模型。按照 RMSE% 增加的顺序,次佳选项是雪/夜/强 (30.4%)、雪/日/强 (33.5%) 和无雪/日/强 (34.1%)。如有必要,也可以使用来自雪夜条件的弱光束数据(31.0%)。

更新日期:2022-07-25
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