Uncertainty analysis for forest height inversion using L / P band PolInSAR datasets and RVoG model over kryclan forest site

反演(地质) 地理 遥感 林业 环境科学 地质学 地貌学 构造盆地
作者
Han Zhao,Tingwei Zhang,Yongjie Ji,Wangfei Zhang
出处
期刊:International journal of applied earth observation and geoinformation 卷期号:130: 103886-103886 被引量:1
标识
DOI:10.1016/j.jag.2024.103886
摘要

Forest height, as a measure of the quantity and quality of forest resources, plays a significant role in the study of the ecological functions performed by forests. Although the polarimetric synthetic aperture radar interferometry (PolInSAR) technique has evolved as a potent method for forest height inversion, uncertainties still exist in the process of estimating forest height, and the uncertainties in predicted forest height directly lead into the uncertainty of terrestrial carbon stock calculation results. In this study, we took the Random Volume over Ground (RVoG) model as likelihood function and constructed a hierarchical Bayesian framework to calculate and reduce the uncertainty of forest height inversion using L / P band PolInSAR airborne data via RVoG model. Uncertainties resulted from five canopy types and three forest densities were analyzed, respectively. The results showed that among the five different canopy types, L band has the highest prediction accuracy in pure coniferous canopy with Acc. = 0.90. The uncertainty is extremely low for pure forest, with the ratio of uncertainty values of 0.09 for L band and 0.15 for the P band in pure coniferous canopy, and uncertainty values of 0.16 for L band and 0.11 for P band in pure broadleaf canopy, respectively. Furthermore, when the forest density is between 300 and 600 stems/ha, the ratio of uncertainties for the L band is 0.27, whereas the P band is 0.24. As forest density increases, the uncertainty in forest height estimates decreases for both bands. The changes in canopy types and forest density affect forest height estimation uncertainties obviously, the effects are different at each frequency. The forest height inversion accuracy of the L band in pure coniferous canopy surpasses that in other canopy types, with the lowest uncertainty. P band performed well in broadleaf canopy forest height inversion. The inversion uncertainties at both frequencies decrease with increase of forest densities.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
XXXXX完成签到,获得积分20
1秒前
1秒前
George完成签到,获得积分10
1秒前
六眼通完成签到,获得积分10
3秒前
WZX完成签到,获得积分10
3秒前
4秒前
欣慰凌丝发布了新的文献求助10
4秒前
4秒前
4秒前
量子星尘发布了新的文献求助10
5秒前
甜甜茈完成签到 ,获得积分10
5秒前
开心的小熊完成签到,获得积分10
5秒前
吕旭发布了新的文献求助10
5秒前
Hello应助寻123采纳,获得10
7秒前
SYLH应助tly采纳,获得10
7秒前
7秒前
共享精神应助沉默是金12采纳,获得10
8秒前
8秒前
9秒前
10秒前
11秒前
erhya完成签到,获得积分10
11秒前
123完成签到,获得积分10
12秒前
安南完成签到 ,获得积分10
13秒前
GT完成签到,获得积分10
14秒前
Lily应助秋裤不治老寒腿采纳,获得10
14秒前
qq发布了新的文献求助10
15秒前
清脆剑封完成签到,获得积分20
16秒前
16秒前
HB完成签到,获得积分10
17秒前
桐桐应助科研通管家采纳,获得10
18秒前
欣慰凌丝完成签到,获得积分10
18秒前
赘婿应助科研通管家采纳,获得10
18秒前
隐形曼青应助科研通管家采纳,获得10
18秒前
18秒前
19秒前
jinjinjin完成签到,获得积分10
19秒前
害羞小土豆完成签到,获得积分10
22秒前
共享精神应助leslie采纳,获得10
22秒前
23秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Picture Books with Same-sex Parented Families: Unintentional Censorship 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3969884
求助须知:如何正确求助?哪些是违规求助? 3514604
关于积分的说明 11174901
捐赠科研通 3249928
什么是DOI,文献DOI怎么找? 1795149
邀请新用户注册赠送积分活动 875599
科研通“疑难数据库(出版商)”最低求助积分说明 804891