Canopy height model and NAIP imagery pairs across CONUS.

IF 6.9 2区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Scientific Data Pub Date : 2025-02-22 DOI:10.1038/s41597-025-04655-z

Brady W Allred, Sarah E McCord, Scott L Morford

引用次数: 0

Abstract

Canopy height models (CHM) provide detailed environmental vertical structure information and are an important indicator and input for ecological and geospatial applications. These models are often spatiotemporally inconsistent, necessitating additional modeling to scale them in space and time. Yet, such scaling is hindered by a lack of spatially diverse data. To address this, we use United States Geological Survey 3D Elevation Program lidar data to produce 22,796,764 one meter resolution CHM chips, stratified across the dominant land covers of the conterminous United States. For each CHM, we pair a matching time-aligned aerial image from the United States Department of Agriculture National Agriculture Imagery Program. This dataset can be used to train models for large scale CHM production.

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冠层高度模型与NAIP影像对。

冠层高度模型（CHM）提供了详细的环境垂直结构信息，是生态和地理空间应用的重要指标和输入。这些模型通常在时空上不一致，需要额外的建模来在空间和时间上缩放它们。然而，这种缩放受到缺乏空间多样性数据的阻碍。为了解决这个问题，我们使用美国地质调查局3D高程计划激光雷达数据制作了22,796,764个一米分辨率的CHM芯片，在美国邻近的主要土地覆盖上分层。对于每个CHM，我们对来自美国农业部国家农业图像计划的匹配时间对齐航空图像进行配对。该数据集可用于训练大规模CHM生产的模型。

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

Scientific Data Social Sciences-Education

CiteScore

11.20

自引率

4.10%

发文量

689

审稿时长

16 weeks

期刊介绍： Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.