A national scale coastal change dataset for Aotearoa New Zealand.

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Data in Brief Pub Date : 2024-11-03 eCollection Date: 2024-12-01 DOI:10.1016/j.dib.2024.111104
Megan Tuck, Mark Dickson, Emma Ryan, Murray Ford, Teresa Konlechner
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引用次数: 0

Abstract

Comprehensive historical coastal change datasets are crucial resources for effective coastal management. In Aotearoa New Zealand, available coastal change data is outdated, or sporadic, hindering large-scale, long-term analysis of coastal change, and coastal planning nationwide. Here we introduce New Zealand's Coastal Change Dataset (NZCCD) a detailed record of coastal change around New Zealand from the early 1940's to 2023. NZCCD was generated through a nationally consistent, rigorous process in which five coastal scientists manually interpreted and digitized the position of the coastline along New Zealand's open and soft cliffed coasts, using historic aerial photographs and high-resolution satellite imagery. NZCCD provides two datasets i) NZCCD Coastlines, comprising manually mapped coastlines, and ii) NZCCD Coastal Change Rates, 228, 611 points where rates of coastal change were calculated. The dataset enables a significant advancement in coastal management enhancing our understanding of the patterns and drivers of coastal change around New Zealand.

新西兰奥特罗阿的国家尺度海岸变化数据集。
综合历史海岸带变化数据集是海岸带有效管理的重要资源。在新西兰奥特罗阿,现有的沿海变化数据是过时的或零星的,阻碍了对沿海变化的大规模长期分析和全国沿海规划。在这里,我们介绍新西兰海岸变化数据集(NZCCD),它详细记录了新西兰从20世纪40年代初到2023年的海岸变化。NZCCD是通过全国一致、严格的过程生成的,在这个过程中,五位沿海科学家使用历史航空照片和高分辨率卫星图像,手动解释并数字化了新西兰开放和柔软的悬崖海岸沿岸的海岸线位置。NZCCD提供了两个数据集:i) NZCCD海岸线,包括人工绘制的海岸线;ii) NZCCD海岸变化率,计算了228,611个海岸变化率。该数据集在沿海管理方面取得了重大进展,增强了我们对新西兰沿海变化模式和驱动因素的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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