Multiscale Land Surface Parameters of GEDTM30: Spherical Standard Deviation of the Normals

Spherical Standard Deviation of the Normals 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 Spherical Standard Deviation of the Normals 120m Global Spherical Standard Deviation of the Normals 240m Global Spherical Standard Deviation of the Normals 480m Global Spherical Standard Deviation of the Normals 960m Due to Zenodo's storage limitations, the high resolution LSP data are provided via external links: Global Spherical Standard Deviation of the Normals 30m Global Spherical Standard Deviation of the Normals 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法向量球面标准差（Spherical Standard Deviation of the Normals） 本数据集为全球集合数字地形模型（Global Ensemble Digital Terrain Model, GEDTM30）的组成部分，请参阅下文相关标识符板块获取该数据集的其他子集。 ## 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，但文中表达的观点与见解仅代表作者本人，未必反映欧盟或欧洲委员会的立场。欧盟及授权机构不对其内容承担任何责任。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在此声明放弃所有明示或默示的担保，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、或对其访问可连续且无中断。您应知晓，从本网站下载或以其他方式获取内容或服务均出于您自主决定，风险由您自行承担。 ## 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、光照与阴影相关指标。本数据集采用金字塔分级架构，为每一类地表参数生成30m、60m、120m、240m、480m及960m的多尺度分辨率。参数化流程基于Python环境下的Whitebox Workflows实现。如需查阅相关文档，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： - 全球法向量球面标准差（Spherical Standard Deviation of the Normals）120m - 全球法向量球面标准差（Spherical Standard Deviation of the Normals）240m - 全球法向量球面标准差（Spherical Standard Deviation of the Normals）480m - 全球法向量球面标准差（Spherical Standard Deviation of the Normals）960m 鉴于Zenodo的存储限制，高分辨率地表参数数据将通过外部链接提供： - 全球法向量球面标准差（Spherical Standard Deviation of the Normals）30m - 全球法向量球面标准差（Spherical Standard Deviation of the Normals）60m ## 相关标识符 - 数字地形模型：GEDTM30 - 地貌：坡度（度）、地貌形态（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、环曲率、形状指数 - 局部地形位置：与平均高程的差值、法向量球面标准差（Spherical Standard Deviation of the Normals） - 水文：比汇水面积、LS因子、地形湿度指数（Topographic Wetness Index） ## 数据详情 - 时间周期：静态数据 - 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 Workflows衍生得到 - 采用方法：地表参数算法 - 数据局限与排除范围：本数据集未包含南极洲地区的数据 - 坐标系：EPSG:4326 - 边界范围（X最小、Y最小、X最大、Y最大）：(-180, -65, 180, 85) - 空间分辨率：120m、240m、480m、960m - 影像尺寸：360,000像素 × 178,219行；180,000像素 × 89,110行；45,000行 × 22,282列 - 文件格式：云优化GeoTIFF（Cloud Optimized Geotiff, COG）格式 - 附加信息： | 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 | 32,767 | | 地貌形态 | 1 | Byte | 255 | | 山体阴影 | 1 | UInt16 | 65,535 | | LS因子 | 1,000 | UInt16 | 65,535 | | 最大曲率 | 1,000 | Int16 | 32,767 | | 最小曲率 | 1,000 | Int16 | 32,767 | | 负向开阔度 | 100 | UInt16 | 65,535 | | 正向开阔度 | 100 | UInt16 | 65,535 | | 剖面曲率 | 1,000 | Int16 | 32,767 | | 环曲率 | 10,000 | Int16 | 32,767 | | 形状指数 | 1,000 | Int16 | 32,767 | | 坡度（度） | 100 | UInt16 | 65,535 | | 比汇水面积 | 1,000 | UInt16 | 65,535 | | 法向量球面标准差（Spherical Standard Deviation of the Normals） | 100 | Int16 | 32,767 | | 切向曲率 | 1,000 | Int16 | 32,767 | | 地形湿度指数 | 100 | Int16 | 32,767 | ## 技术支持 如您发现数据存在错误、异常或不一致之处，或有相关疑问，请在此处提交GitHub议题。 ## 命名规范 为确保项目内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，使用户可无需打开文件即可实现文件检索、数据分析准备等操作。 示例文件名：`twi_edtm_m_120m_s_20000101_20221231_go_epsg.4326_v20241230.tif`，各字段含义如下： 1. 通用变量名：`twi` = 地形湿度指数 2. 变量与处理组合：`edtm` = 直接源自全球集合数字地形模型的衍生数据 3. 概率分布/变量类型位置：`m` = 实测值 4. 空间分辨率：120m 5. 深度参考：`s` = 地表 6. 时间参考起始时间：`20000101` = 2000-01-01 7. 时间参考结束时间：`20211231` = 2021-12-31 8. 空间覆盖范围：`go` = 全球 9. EPSG代码：EPSG:4326 10. 版本代码：`v20241230` = 2024年12月30日发布的版本