A Rapid Extraction of Water Body Features from Antarctic Coastal Oasis Using Very High-Resolution Satellite Remote Sensing Data

全色胶片 遥感 多光谱图像 萃取(化学) 背景(考古学) 水体 卫星 水萃取 环境科学 像素 高分辨率 地理 计算机科学 人工智能 工程类 环境工程 考古 航空航天工程 化学 色谱法
作者
Shridhar D. Jawak,Alvarinho J. Luis
出处
期刊:Aquatic Procedia [Elsevier]
卷期号:4: 125-132 被引量:41
标识
DOI:10.1016/j.aqpro.2015.02.018
摘要

Antarctic coastal oases are essential sources of spatially distributed fresh water bodies. Mapping water bodies from remote places, such as polar regions, using traditional surveying method is a laborious and logistically expensive task. A rapid method for extracting and monitoring water bodies in Antarctic coastal oases has a tremendous application in remote sensing. This study discusses the design of a rapid and novel method to extract water body features in Antarctic coastal oasis environment from remotely-sensed images. We devised semiautomatic approach for extracting water body features based on a novel set of normalized difference water index (NDWI) by incorporating high-resolution WorldView-2 (WV-2) panchromatic and multispectral image data. This study highlights and compares the viability of state-of-the-art spectral processing water body extraction approaches with the newly designed NDWI approach. An extensive quantitative evaluation was carried out to test the newly designed NDWI approach for extracting water bodies on Larsemann Hills, eastern Antarctica. The results suggest that the modified NDWI approach render intermediate performance with bias error varying from ∼1 to ∼34 m2 (least amount of misclassified pixels). We also analyzed the distinctive 8-band capability of WV-2 data coupled with semiautomatic extraction methods to compare their reliability in extracting the water body area. The results indicate that the use of the modified NDWI approach on 8-band WV-2 data can significantly improve the semiautomatic extraction of water body features, which can ultimately contribute to an enhanced perceptive of the Antarctic coastal oasis in the context of climate change.
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
xinyu发布了新的文献求助10
刚刚
1秒前
Eliauk关注了科研通微信公众号
1秒前
乐乐发布了新的文献求助10
1秒前
隐形曼青应助李白采纳,获得10
2秒前
2秒前
CodeCraft应助Billy采纳,获得30
2秒前
3秒前
干净元容完成签到,获得积分20
3秒前
Jiro完成签到,获得积分10
5秒前
5秒前
酷炫的__完成签到,获得积分10
5秒前
量子星尘发布了新的文献求助20
6秒前
6秒前
lvsehx完成签到,获得积分20
7秒前
舒适冷玉发布了新的文献求助10
7秒前
xx发布了新的文献求助10
7秒前
7秒前
低头发布了新的文献求助10
8秒前
9秒前
66完成签到,获得积分10
9秒前
9秒前
H·Y完成签到,获得积分10
9秒前
华仔应助庄严采纳,获得10
10秒前
一二发布了新的文献求助10
10秒前
lvsehx发布了新的文献求助30
11秒前
11秒前
12秒前
lirui完成签到,获得积分10
12秒前
杨杰发布了新的文献求助10
13秒前
14秒前
14秒前
14秒前
完美的立辉完成签到,获得积分10
15秒前
隐形曼青应助调皮的蓝天采纳,获得10
15秒前
无花果应助乐乐采纳,获得10
16秒前
CipherSage应助xx采纳,获得30
16秒前
Bepa发布了新的文献求助10
16秒前
16秒前
16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
SOFT MATTER SERIES Volume 22 Soft Matter in Foods 1000
Zur lokalen Geoidbestimmung aus terrestrischen Messungen vertikaler Schweregradienten 1000
Schifanoia : notizie dell'istituto di studi rinascimentali di Ferrara : 66/67, 1/2, 2024 1000
Circulating tumor DNA from blood and cerebrospinal fluid in DLBCL: simultaneous evaluation of mutations, IG rearrangement, and IG clonality 500
Food Microbiology - An Introduction (5th Edition) 500
Architectural Corrosion and Critical Infrastructure 400
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 4867785
求助须知:如何正确求助?哪些是违规求助? 4159730
关于积分的说明 12898784
捐赠科研通 3913874
什么是DOI,文献DOI怎么找? 2149487
邀请新用户注册赠送积分活动 1168010
关于科研通互助平台的介绍 1070422