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 工程类 航空航天工程 地质学 考古 海洋学 二氧化碳 生物 生态学
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
天天快乐应助JERRI采纳,获得10
1秒前
jzy发布了新的文献求助10
1秒前
领导范儿应助甜甜莫言采纳,获得10
2秒前
田様应助人间枝头采纳,获得10
4秒前
4秒前
科研通AI2S应助雪花采纳,获得10
4秒前
buno应助雪花采纳,获得10
4秒前
情怀应助sue401采纳,获得10
5秒前
6秒前
小爽发布了新的文献求助20
6秒前
NexusExplorer应助Ycc采纳,获得10
6秒前
Singularity应助wankai采纳,获得10
7秒前
mouxq发布了新的文献求助10
7秒前
Jasper应助谢尔顿采纳,获得30
7秒前
8秒前
英俊的铭应助kb采纳,获得10
9秒前
宜醉宜游宜睡应助赵先森采纳,获得10
10秒前
10秒前
10秒前
LHX发布了新的文献求助10
10秒前
li完成签到,获得积分10
11秒前
杳鸢应助呆呆的猕猴桃采纳,获得10
11秒前
12秒前
FashionBoy应助怡然绮彤采纳,获得10
13秒前
神奇皮燕子完成签到,获得积分10
14秒前
15秒前
pshhhz1994完成签到,获得积分10
16秒前
16秒前
美满亦寒完成签到,获得积分10
18秒前
Endlessway应助科研通管家采纳,获得10
18秒前
bkagyin应助科研通管家采纳,获得10
18秒前
大模型应助科研通管家采纳,获得10
18秒前
今后应助科研通管家采纳,获得10
19秒前
斯文败类应助科研通管家采纳,获得10
19秒前
CodeCraft应助科研通管家采纳,获得10
19秒前
NPC应助科研通管家采纳,获得10
19秒前
田様应助科研通管家采纳,获得10
19秒前
慕青应助科研通管家采纳,获得10
19秒前
明理的赛凤发布了新的文献求助100
19秒前
hy应助科研通管家采纳,获得10
19秒前
高分求助中
歯科矯正学 第7版(或第5版) 1004
Smart but Scattered: The Revolutionary Executive Skills Approach to Helping Kids Reach Their Potential (第二版) 1000
Semiconductor Process Reliability in Practice 720
GROUP-THEORY AND POLARIZATION ALGEBRA 500
Mesopotamian divination texts : conversing with the gods : sources from the first millennium BCE 500
Days of Transition. The Parsi Death Rituals(2011) 500
The Heath Anthology of American Literature: Early Nineteenth Century 1800 - 1865 Vol. B 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3229041
求助须知:如何正确求助?哪些是违规求助? 2876786
关于积分的说明 8196563
捐赠科研通 2544175
什么是DOI,文献DOI怎么找? 1374187
科研通“疑难数据库(出版商)”最低求助积分说明 646906
邀请新用户注册赠送积分活动 621640