Multiscale Land Surface Parameters of GEDTM30: Minimal Curvature

Minimal Curvature

This data is part of the Global Ensemble Digital Terrain Model (GEDTM30) dataset. Check the related identifiers section below to access other parts of the dataset.

Disclaimer

This is the first release of the Multiscale Land Surface Parameters (LSPs) of Global Ensemble Digital Terrain Model (GEDTM30). Use for testing purposes only. This work was funded by the European Union. However, the views and opinions expressed are solely those of the author(s) and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the granting authority can be held responsible for them. The data is provided "as is." The Open-Earth-Monitor project consortium, along with its suppliers and licensors, hereby disclaims all warranties of any kind, express or implied, including, without limitation, warranties of merchantability, fitness for a particular purpose, and non-infringement. Neither the Open-Earth-Monitor project consortium nor its suppliers and licensors make any warranty that the website will be error-free or that access to it will be continuous or uninterrupted. You understand that you download or otherwise obtain content or services from the website at your own discretion and risk.

Description

LSPs are derivative products of the GEDTM30 that represent measures of local topographic position, curvature, hydrology, light, and shadow. A pyramid representation is implemented to generate multiscale resolutions of 30m, 60m, 120m, 240m, 480m, and 960m for each LSP. The parametrization is powered by Whitebox Workflows in Python. To see the documentation, please visit our GEDTM30 GitHub (https://github.com/openlandmap/GEDTM30).

Dataset Contents

This dataset includes:

Global Minimal Curvature 120m

Global Minimal Curvature 240m

Global Minimal Curvature 480m

Global Minimal Curvature 960m

Due to Zenodo's storage limitations, the high resolution LSP data are provided via external links:

Global Minimal Curvature 30m

Global Minimal Curvature 60m

Related Identifiers

Digital Terrain Model:
GEDTM30

Landform:
Slope in Degree, Geomorphons

Light and Shadow:
Positive Openness, Negative Openness,
Hillshade

Curvature:
Minimal Curvature, Maximal Curvature,
Profile Curvature, Tangential Curvature,
Ring Curvature, Shape Index

Local Topographic Position:
Difference from Mean Elevation, Spherical Standard Deviation of the Normals

Hydrology:
Specific Catchment Area, LS Factor, Topographic Wetness Index

Data Details

Time period: static.

Type of data: properties derived from Digital Terrain Model

How the data was collected or derived: The data was derived using Whitbox Workflows.

Methods used: LSP algorithms.

Limitations or exclusions in the data: The dataset does not include data Antarctica.

Coordinate reference system: EPSG:4326

Bounding box (Xmin, Ymin, Xmax, Ymax): (-180, -65, 180, 85)

Spatial resolution: 120m, 240m, 480m, 960m

Image size: 360,000P x 178,219L; 180,000P x 89,110L; 45,000L x 22,282L

File format: Cloud Optimized Geotiff (COG) format.

Additional information:

Layer
Scale
Data Type
No Data

Difference from Mean Elevation
100
Int16
32,767

Geomorphons
1
Byte
255

Hillshade
1
UInt16
65,535

LS Factor
1,000
UInt16
65,535

Maximal Curvature
1,000
Int16
32,767

Minimal Curvature
1,000
Int16
32,767

Negative Openness
100
UInt16
65,535

Positive Openness
100
UInt16
65,535

Profile Curvature
1,000
Int16
32,767

Ring Curvature
10,000
Int16
32,767

Shape Index
1,000
Int16
32,767

Slope in Degree
100
UInt16
65,535

Specific Catchment Area
1,000
UInt16
65,535

Spherical Standard Deviation of the Normals
100
Int16
32,767

Tangential Curvature
1,000
Int16
32,767

Topographic Wetness Index
100
Int16
32,767

Support

If you discover a bug, artifact, or inconsistency, or if you have a question please raise a GitHub issue here

Naming convention

To ensure consistency and ease of use across and within the projects, we follow the standard Ai4SoilHealth and Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describe important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files.

For example, for twi_edtm_m_120m_s_20000101_20221231_go_epsg.4326_v20241230.tif, the fields are:

generic variable name: twi = topographic wetness index

variable procedure combination: edtm = derivative direct from global ensemble digital terrain model

Position in the probability distribution/variable type: m = measurement

Spatial support: 120m

Depth reference: s = surface

Time reference begin time: 20000101 = 2000-01-01

Time reference end time: 20211231 = 2021-12-31

Bounding box: go = global

EPSG code: EPSG:4326

Version code: v20241230 = version from 2024-12-30

最小曲率（Minimal Curvature）

本数据集隶属于全球集合数字地形模型（Global Ensemble Digital Terrain Model, GEDTM30）数据集。请参阅下文的相关标识符章节，以获取该数据集的其他部分内容。

免责声明

本文件为全球集合数字地形模型（GEDTM30）多尺度地表参数（Land Surface Parameters, LSPs）的首次发布版本，仅可用于测试用途。本研究受欧盟资助，但文中表达的观点仅代表作者本人，未必反映欧盟或欧洲委员会的立场。欧盟及授权机构不对本数据内容承担任何责任。本数据按“现状”提供。开放地球监测（Open-Earth-Monitor）项目联盟及其供应商与授权方特此声明放弃所有明示或暗示的担保，包括但不限于适销性、特定用途适用性以及不侵权的担保。开放地球监测项目联盟及其供应商与授权方亦不保证本网站无错误、或访问可连续且无中断。您需知晓，从本网站下载或获取内容与服务的行为，均由您自行承担风险与裁量权。

数据说明

地表参数（Land Surface Parameters, LSPs）是全球集合数字地形模型（GEDTM30）的衍生产品，用于表征局部地形位置、曲率、水文、光照与阴影特征。本数据集采用金字塔分级策略，为每一类地表参数生成30m、60m、120m、240m、480m以及960m的多尺度分辨率。参数化流程依托Python语言下的Whitebox工作流（Whitebox Workflows）实现。如需查看文档，请访问我们的GEDTM30 GitHub仓库：https://github.com/openlandmap/GEDTM30。

数据集内容

本数据集包含：
- 全球最小曲率（120m分辨率）
- 全球最小曲率（240m分辨率）
- 全球最小曲率（480m分辨率）
- 全球最小曲率（960m分辨率）

受泽诺多（Zenodo）的存储容量限制，高分辨率地表参数数据将通过外部链接提供：
- 全球最小曲率（30m分辨率）
- 全球最小曲率（60m分辨率）

相关标识符

- 数字地形模型：GEDTM30
- 地貌：坡度（角度）、地貌元（Geomorphons）
- 光照与阴影：正向开阔度、负向开阔度、山体阴影（Hillshade）
- 曲率：最小曲率、最大曲率、剖面曲率、切向曲率、环形曲率、形状指数
- 局部地形位置：与平均高程的差值、法线球面标准差
- 水文：特定集水区面积、LS因子、地形湿度指数

数据详情

- 时间周期：静态
- 数据类型：源自数字地形模型的衍生属性
- 数据采集/衍生方式：本数据通过Whitebox工作流（Whitebox Workflows）衍生生成
- 所用方法：地表参数算法
- 数据局限性与排除范围：本数据集未包含南极洲地区的数据
- 坐标系：EPSG:4326
- 边界框（X最小值、Y最小值、X最大值、Y最大值）：(-180, -65, 180, 85)
- 空间分辨率：120m、240m、480m、960m
- 图像尺寸：360000像素 × 178219行；180000像素 × 89110行；45000行 × 22282行
- 文件格式：云优化GeoTIFF（Cloud Optimized Geotiff, COG）格式
- 附加信息：

各图层参数详情如下：
| 图层名称 | 比例尺 | 数据类型 | 无数据值 |
| --- | --- | --- | --- |
| 与平均高程的差值 | 100 | Int16 | 32767 |
| 地貌元 | 1 | Byte | 255 |
| 山体阴影 | 1 | UInt16 | 65535 |
| LS因子 | 1000 | UInt16 | 65535 |
| 最大曲率 | 1000 | Int16 | 32767 |
| 最小曲率 | 1000 | Int16 | 32767 |
| 负向开阔度 | 100 | UInt16 | 65535 |
| 正向开阔度 | 100 | UInt16 | 65535 |
| 剖面曲率 | 1000 | Int16 | 32767 |
| 环形曲率 | 10000 | Int16 | 32767 |
| 形状指数 | 1000 | Int16 | 32767 |
| 坡度（角度） | 100 | UInt16 | 65535 |
| 特定集水区面积 | 1000 | UInt16 | 65535 |
| 法线球面标准差 | 100 | Int16 | 32767 |
| 切向曲率 | 1000 | Int16 | 32767 |
| 地形湿度指数 | 100 | Int16 | 32767 |

技术支持

若您发现数据存在错误、异常或不一致之处，或有任何疑问，请在此处提交GitHub Issue。

命名规范

为确保项目内部与跨项目的一致性与易用性，本数据集遵循Ai4SoilHealth与开放地球监测（Open-Earth-Monitor）标准命名规范。该规范包含10个字段，用于描述数据的关键属性，使用户可在无需打开文件的情况下完成文件检索、数据分析准备等工作。

示例：以`twi_edtm_m_120m_s_20000101_20221231_go_epsg.4326_v20241230.tif`为例，各字段含义如下：
- 通用变量名：twi = 地形湿度指数
- 变量与处理流程组合：edtm = 直接源自全球集合数字地形模型的衍生数据
- 概率分布/变量类型位置：m = 测量值
- 空间支撑尺度：120m
- 深度参考：s = 地表
- 时间参考起始时间：20000101 = 2000-01-01
- 时间参考结束时间：20211231 = 2021-12-31
- 边界框：go = 全球范围
- EPSG代码：EPSG:4326
- 版本代码：v20241230 = 2024年12月30日发布的版本