Global multi-resolution terrain elevation data 2010 (GMTED2010)

数字高程模型 仰角(弹道) 地形 地质学 遥感 地形图(神经解剖学) 航天飞机雷达地形任务 地质调查 光栅图形 比例(比率) 数据质量 地理空间分析 地理信息系统 地图学 地理 计算机科学 地球物理学 计算机图形学(图像) 公制(单位) 认知心理学 经济 几何学 数学 运营管理 心理学 后顶叶皮质
作者
Jeffrey J. Danielson,Dean B. Gesch
出处
期刊:Open-file report / [US Geological Survey]
被引量:751
标识
DOI:10.3133/ofr20111073
摘要

In 1996, the U.S. Geological Survey (USGS) developed a global topographic elevation model designated as GTOPO30 at a horizontal resolution of 30 arc-seconds for the entire Earth. Because no single source of topographic information covered the entire land surface, GTOPO30 was derived from eight raster and vector sources that included a substantial amount of U.S. Defense Mapping Agency data. The quality of the elevation data in GTOPO30 varies widely; there are no spatially-referenced metadata, and the major topographic features such as ridgelines and valleys are not well represented. Despite its coarse resolution and limited attributes, GTOPO30 has been widely used for a variety of hydrological, climatological, and geomorphological applications as well as military applications, where a regional, continental, or global scale topographic model is required. These applications have ranged from delineating drainage networks and watersheds to using digital elevation data for the extraction of topographic structure and three-dimensional (3D) visualization exercises (Jenson and Domingue, 1988; Verdin and Greenlee, 1996; Lehner and others, 2008). Many of the fundamental geophysical processes active at the Earth's surface are controlled or strongly influenced by topography, thus the critical need for high-quality terrain data (Gesch, 1994). U.S. Department of Defense requirements for mission planning, geographic registration of remotely sensed imagery, terrain visualization, and map production are similarly dependent on global topographic data. Since the time GTOPO30 was completed, the availability of higher-quality elevation data over large geographic areas has improved markedly. New data sources include global Digital Terrain Elevation Data (DTEDRegistered) from the Shuttle Radar Topography Mission (SRTM), Canadian elevation data, and data from the Ice, Cloud, and land Elevation Satellite (ICESat). Given the widespread use of GTOPO30 and the equivalent 30-arc-second DTEDRegistered level 0, the USGS and the National Geospatial-Intelligence Agency (NGA) have collaborated to produce an enhanced replacement for GTOPO30, the Global Land One-km Base Elevation (GLOBE) model and other comparable 30-arc-second-resolution global models, using the best available data. The new model is called the Global Multi-resolution Terrain Elevation Data 2010, or GMTED2010 for short. This suite of products at three different resolutions (approximately 1,000, 500, and 250 meters) is designed to support many applications directly by providing users with generic products (for example, maximum, minimum, and median elevations) that have been derived directly from the raw input data that would not be available to the general user or would be very costly and time-consuming to produce for individual applications. The source of all the elevation data is captured in metadata for reference purposes. It is also hoped that as better data become available in the future, the GMTED2010 model will be updated.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
NexusExplorer应助zz采纳,获得10
刚刚
不再褪色发布了新的文献求助10
刚刚
核桃发布了新的文献求助10
刚刚
刚刚
所所应助You采纳,获得10
4秒前
我是老大应助WXECO采纳,获得10
4秒前
上官若男应助研友_Z1eDgZ采纳,获得10
5秒前
boron发布了新的文献求助10
5秒前
科研通AI6.4应助Swater采纳,获得10
7秒前
8秒前
8秒前
10秒前
11秒前
fcyyc发布了新的文献求助10
12秒前
Jasper应助刘大大采纳,获得10
13秒前
七秒鱼发布了新的文献求助10
14秒前
15秒前
郑白枫发布了新的文献求助10
15秒前
优雅松鼠发布了新的文献求助10
16秒前
16秒前
领导范儿应助三金采纳,获得10
17秒前
18秒前
19秒前
20秒前
顾矜应助睡个好觉采纳,获得10
21秒前
CipherSage应助草莓小布丁采纳,获得10
21秒前
科研通AI2S应助少卿采纳,获得10
21秒前
黑猫发布了新的文献求助10
22秒前
优雅松鼠完成签到,获得积分10
22秒前
NexusExplorer应助fcyyc采纳,获得10
23秒前
共享精神应助02采纳,获得10
24秒前
24秒前
叮当发布了新的文献求助10
24秒前
刘大大发布了新的文献求助10
24秒前
完美世界应助王翎力采纳,获得10
25秒前
苹果大侠完成签到 ,获得积分10
25秒前
动听的谷秋完成签到 ,获得积分10
26秒前
xiaolizi发布了新的文献求助10
26秒前
27秒前
29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
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7588208
求助须知:如何正确求助?哪些是违规求助? 9166483
关于积分的说明 19618714
捐赠科研通 7168360
什么是DOI,文献DOI怎么找? 3266975
关于科研通互助平台的介绍 2431890
邀请新用户注册赠送积分活动 2258921