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Modis

Distributes cryospheric data sets and tools

Overview

NSIDC collects, curates, and distributes cryospheric data, including snow, ice, glaciers, and frozen ground, from satellite and ground observations. Researchers browse NSIDC’s holdings on the website and download or order datasets using data access tools, with support to help them use the data. It differentiates itself by offering a large, focused, university-affiliated data center with direct access tools, researcher support, and strong collaborations with Indigenous and international partners. The goal is to broaden understanding of cryospheric change by making data widely accessible and useful for researchers and communities.

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About Modis

Simplify's Rating
Why Modis is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & AnalyticsGovernment & Public Sector

Company Size

51-200

Company Stage

N/A

Total Funding

N/A

Headquarters

Boulder, CO

Founded

1976

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Company News

National Tibetan Plateau Data Center
May 21st, 2026
Qinghai-Tibet Engineering Corridor (QTEC) Permafrost Underground Ice Content Data Set Released

Qinghai-Tibet Engineering Corridor (QTEC) permafrost Underground Ice content Data Set released. Publish time: 2026-05-21 20:14 Recently, the National Glacier, Permafrost and Desert Scientific Data Center released and shared the Qinghai-Tibet Engineering Corridor (QTEC) permafrost underground ice content dataset. The dataset was completed by Lin Zhanju, a researcher team at the Northwest Institute of Ecology, Environmental Resources, China Academy of Sciences, and is open to users. The related paper is "Spatial distribution and zoning characteristics of permafrost ground ice on the Qinghai-Xizang Engineering Corridor, China" published in Advances in Climate Change Research. Scientific researchers are warmly welcome to download and use it. Permafrost underground ice is a key solid water resource and engineering geological carrier. The frozen soil with high ice content in the Qinghai-Tibet Engineering Corridor is extremely sensitive to the response to degradation, which restricts the accurate simulation of frozen soil degradation by climate models and is also not conducive to the scientific formulation of engineering disaster prevention and control measures in fragile areas of the cryosphere. This study is based on 1158 sets of underground borehole measured data (actual measurement, engineering survey borehole data and data shared by public literature and the Scientific Data Center), introduces two machine learning algorithms: random forest and decision tree, and combines annual average temperature, ground temperature, altitude, 13 environmental factors such as slope, and vegetation index to achieve spatial simulation of underground ice content with a resolution of 200m across the corridor. The results show that 50% of the area within the Qinghai-Tibet Project Corridor is developed with high ice content frozen soil; the average annual temperature, ground temperature, active layer thickness, altitude and precipitation are the main factors controlling the spatial differentiation of underground ice. For details, see (Fan et al., 2026). This study can provide basic background data for refined assessment of regional underground ice reserves, and at the same time provide scientific support for ecological protection and engineering construction design in frozen soil areas. Figure 1 Distribution of subsurface ice content in QTEC obtained by two methods: (a) Random Forest (b) Decision Tree Figure 2 Development of thaw slumping in simulated permafrost regions with different ice contents Figure 3 Conceptual diagram of the development of ground ice along the QTEC (eastern edge of the Qinghai-Tibet Plateau) region [Project Support] 1. Temporal and spatial changes of frozen soil on the Xizang Plateau and its impact on the water environment in cold regions (XZ202501ZY0139); 2. Distribution characteristics and refined simulation of underground ice in permafrost soil in the Qinghai-Tibet Engineering Corridor (2024M753468); 3. Strategic Pilot Science and Technology Project of China Academy of Sciences (Category B): Permafrost and Underground Ice Disaster Risk and Response (XDB0950200); 4. Study on the cryogenic structure and ice content of frozen soil profiles under local differences in the Beiluhe area (SKLFSE-ZQ-202308). [Article Information] FanXing-Wen, Gao Ze-Yong, Luo Jing, Niu Fu-Jun, Li Wen-Jiao, Wu Xu-Yang, Lin Zhan-Ju. Spatial distribution and zonation characteristics of permafrost ground ice on the Qinghai-Xizang Engineering Corridor, China[J/OL]. Advances in Climate Change Research, 2026, DOI: https://doi.org/10.1016/j.accre.2026.02.005. [Data Set Download URL]

Forbes
Oct 12th, 2023
Antarctica’S Ice Shelves Have Dramatically Shrunk, Study Finds—Here’S Why It Matters

Topline. More than 40% of Antarctica’s ice shelves have shrunk over the past 25 years, a study published Thursday found, as scientists warn they’re losing volume with no sign of recovery because of the effects of human-induced global warming. Nearly half of Antarctica's ice shelves have reduced in volume in the past 25 years, according to a . [+] study published Thursday.Torsten Blackwood - Pool/Getty Key Facts

Technical.ly
Sep 15th, 2023
What Is Geospatial Intelligence? A Geographer Explains The Powerful Melding Of Maps And Data

This is a guest post by Darren Ruddell, associate professor of spatial sciences at University of Southern California. A version of this article is republished from The Conversation via a Creative Commons license. With record-breaking temperatures across the South, smoke from Canadian wildfires across the North, historic flooding in the Northeast and a powerful hurricane in the Southeast, the summer of 2023 has presented a range of threats to the safety of the majority of Americans. The good news, through all of this: Geospatial intelligence has offered valuable insights to help governments and organizations protect communities. Geospatial intelligence is the collection and integration of data from a network of technologies, including satellites, mobile sensors, ground-control stations and aerial images. The data is used to produce real-time maps and simulations to help identify when, where and to what extent a threat is likely to emerge

CleanTechnica
Aug 8th, 2023
Summer Breakout In Northeast Greenland

Summer can be cruel to the planet’s remaining ice. Over the span of just days in July 2023, seasonal warmth led to the rapid disintegration of sea ice near the junction of two large outlet glaciers in northeast Greenland. The two glaciers—Storstrømmen and L. Bistrup Bræ—are visible in this image pair. Storstrømmen is the larger of the two, measuring about 20 kilometers (12 miles) wide and flowing southward. It joins with L

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