Mapping three-dimensional morphological characteristics of tidal salt-marsh channels using UAV structure-from-motion photogrammetry

摄影测量学 地质学 盐沼 遥感 频道(广播) 多光谱图像 沼泽 由运动产生的结构 海滩形态动力学 仰角(弹道) 地貌学 湿地 海洋学 几何学 生态学 泥沙输移 计算机科学 数学 算法 沉积物 运动估计 电气工程 生物 工程类
作者
Chunpeng Chen,Ce Zhang,Christian Schwarz,Bo Tian,Wenhao Jiang,Wenting Wu,Rahul Garg,Pradeep Kumar Garg,Chusov Aleksandr,Shilin Mikhail,Yunxuan Zhou
出处
期刊:Geomorphology [Elsevier BV]
卷期号:407: 108235-108235 被引量:16
标识
DOI:10.1016/j.geomorph.2022.108235
摘要

Tidal channels (TCs) are geomorphological features of coastal and tidal landscapes. They provide a pathway for the exchange of material and energy between marshes and adjacent water bodies and thereby control the hydrodynamic, morphological, and ecological processes on marsh platforms. Due to difficulties in terms of accessibility, limitations on the duration of exposure during low-water stages, and variations in morphology over time, rapid and accurate mapping of such intertidal morphological features at a high frequency is extremely challenging. Here, we present an efficient method integrated unmanned aerial vehicles (UAVs) structure-from-motion (SfM) photogrammetry, and spatial morphological fitting and delineation for accurately quantifying channel three-dimensional (3D) morphological features in terms width, depth, width-to-depth ratio, and cross-sectional area. We also relate these measured proxies to salt marsh species distributions. A two-step thresholding approach combining elevation and slope is developed in order to determinate TC boundaries from salt marsh and tidal flat area, and a Gaussian fit is used to estimate water-bearing channel depth and cross-sectional area. Salt marsh species are identified from fine-resolution multispectral satellite data and a field training dataset using a Random Forest classifier. Our results indicate that (1) UAV-based SfM photogrammetry can achieve centimeter-level accuracy in mapping the topography of TCs, with a root mean square error (RMSE) of 5.7 cm — mainly from the strong reflection of light from smooth TC water surfaces and the presence of water-bearing layers; (2) the morphological features of TCs, ranging from tidal flats to salt marsh areas, demonstrate a similar tendency, which increases at first and then decreases. The maximum depth and cross-sectional area of TCs is in sparse salt-marsh area, up to 4 m and 150 m2, respectively; and (3) TC morphology has a major impact on the distribution of salt marsh plants and such effects vary across different plant species. These results greatly contribute deep understanding of feedbacks between TCs and salt marsh plant species distribution and have significant implications for developing ecological and morphological salt marsh restoration guidelines.
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
伶俐断天发布了新的文献求助10
刚刚
QQ发布了新的文献求助30
1秒前
1秒前
老肥完成签到,获得积分10
1秒前
李克杨完成签到,获得积分10
1秒前
英姑应助英俊采纳,获得10
2秒前
王一博发布了新的文献求助10
2秒前
万能图书馆应助阿九采纳,获得10
2秒前
研友_LBRkOL完成签到,获得积分10
3秒前
3秒前
4秒前
简单的小刺猬完成签到,获得积分10
4秒前
向阳发布了新的文献求助10
4秒前
量子星尘发布了新的文献求助10
6秒前
Klmkp完成签到 ,获得积分10
6秒前
吉吉国王的跟班完成签到 ,获得积分10
7秒前
Njzs完成签到 ,获得积分10
7秒前
yolodys完成签到,获得积分10
7秒前
8秒前
小蘑菇应助bubu采纳,获得10
9秒前
9秒前
mhlxxx发布了新的文献求助10
9秒前
星辰大海应助英俊采纳,获得10
10秒前
10秒前
甜甜关注了科研通微信公众号
10秒前
med完成签到,获得积分10
11秒前
Jasper应助唐响采纳,获得10
11秒前
科研通AI5应助伶俐断天采纳,获得10
11秒前
李爱国应助莫知采纳,获得10
11秒前
邓晓霞完成签到,获得积分10
12秒前
寒冷黎云发布了新的文献求助10
13秒前
13秒前
周雨婷完成签到,获得积分10
14秒前
15秒前
科研混子表锅完成签到,获得积分10
15秒前
乐了发布了新的文献求助10
15秒前
李爱国应助英俊采纳,获得10
16秒前
med发布了新的文献求助10
16秒前
123zyx发布了新的文献求助10
16秒前
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
LRZ Gitlab附件(3D Matching of TerraSAR-X Derived Ground Control Points to Mobile Mapping Data 附件) 2000
TOWARD A HISTORY OF THE PALEOZOIC ASTEROIDEA (ECHINODERMATA) 1500
World Nuclear Fuel Report: Global Scenarios for Demand and Supply Availability 2025-2040 800
The Social Work Ethics Casebook(2nd,Frederic G. R) 600
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 500
AASHTO LRFD Bridge Design Specifications (10th Edition) with 2025 Errata 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 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5123418
求助须知:如何正确求助?哪些是违规求助? 4327877
关于积分的说明 13485721
捐赠科研通 4162142
什么是DOI,文献DOI怎么找? 2281236
邀请新用户注册赠送积分活动 1282659
关于科研通互助平台的介绍 1221782