In Situ Reference Datasets From the TropiSAR and AfriSAR Campaigns in Support of Upcoming Spaceborne Biomass Missions

环境科学 遥感 碳循环 激光雷达 生物量(生态学) 地球观测 卫星 碳储量 森林资源清查 固碳 减少毁林和森林退化造成的排放 树冠 天蓬 气候变化 森林经营 地理 农林复合经营 生态系统 生态学 海洋学 考古 航空航天工程 二氧化碳 地质学 工程类 生物
作者
Nicolas Labrière,Shengli Tao,Jérôme Chave,Klaus Scipal,Thuy Le Toan,Katharine Abernethy,Alfonso Alonso,Nicolas Barbier,Pulchérie Bissiengou,Tânia Casal,Stuart J. Davies,António Ferraz,Bruno Hérault,Gaëlle Jaouen,Kathryn J. Jeffery,David Kenfack,Lisa Korte,Simon L. Lewis,Yadvinder Malhi,Herve R. Memiaghe,John R. Poulsen,Maxime Réjou‐Méchain,Ludovic Villard,Grégoire Vincent,Lee White,Sassan Saatchi
出处
期刊:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing [Institute of Electrical and Electronics Engineers]
卷期号:11 (10): 3617-3627 被引量:64
标识
DOI:10.1109/jstars.2018.2851606
摘要

Tropical forests are a key component of the global carbon cycle. Yet, there are still high uncertainties in forest carbon stock and flux estimates, notably because of their spatial and temporal variability across the tropics. Several upcoming spaceborne missions have been designed to address this gap. High-quality ground data are essential for accurate calibration/validation so that spaceborne biomass missions can reach their full potential in reducing uncertainties regarding forest carbon stocks and fluxes. The BIOMASS mission, a P-band SAR satellite from the European Space Agency (ESA), aims at improving carbon stock mapping and reducing uncertainty in the carbon fluxes from deforestation, forest degradation, and regrowth. In situ activities in support of the BIOMASS mission were carried out in French Guiana and Gabon during the TropiSAR and AfriSAR campaigns. During these campaigns, airborne P-band SAR, forest inventory, and lidar data were collected over six study sites. This paper describes the methods used for forest inventory and lidar data collection and analysis, and presents resulting plot estimates and aboveground biomass maps. These reference datasets along with intermediate products (e.g., canopy height models) can be accessed through ESA's Forest Observation System and the Dryad data repository and will be useful for BIOMASS but also to other spaceborne biomass missions such as GEDI, NISAR, and Tandem-L for calibration/validation purposes. During data quality control and analysis, prospects for reducing uncertainties have been identified, and this paper finishes with a series of recommendations for future tropical forest field campaigns to better serve the remote sensing community.

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