Skip to content
DATASETLY
  • About
  • Subscribe
  • Sign in
  • Submit a DOI / URL
  • Contact Us
  • Toggle website search
Press Escape to close the search panel.
Menu Close
  • About
  • Subscribe
  • Sign in
  • Submit a DOI / URL
  • Contact Us
  • Toggle website search
Search this website

Mapping the world’s inland surface waters: an upgrade to the Global Lakes and Wetlands Database (GLWD v2)

Mapping the world’s inland surface waters: an upgrade to the Global Lakes and Wetlands Database (GLWD v2)

  • Post author:Datasetly
  • Post published: July 12, 2025
  • Post category:Climate, weather, drought, water resources

Tags: Big data, Dataset, Earth observation, Geospatial, Global science, Publication, Remote sensing, Research, Satellites, Weather

Read more articles

Previous PostMachine-learning-based reconstruction of long-term global terrestrial water storage anomalies from observed, satellite and land-surface model data
Next PostWireless signal dataset for urban weather sensing in New York City

You Might Also Like

A comprehensive 22-year global GNSS climate data record from 5085 stations

June 27, 2025

Country-level and gridded wastewater production, collection, treatment and re-use [dataset]

July 12, 2025

ERA5-SH: A global gridded scale height dataset for tropospheric parameters based on ERA5 reanalysis

July 14, 2025

Recent Posts

  • A global 0.1 degree gridded dataset of single and compound temperature and precipitation extremes from 1950 to 2025
  • A high spatiotemporal resolution global gridded dataset of historical (1970-2018) human discomfort indices based on GLDAS data
  • Global database for naturally occurring radionuclides associated with offshore oil and gas production

Visit Topic Pages

AI Big data Dataset Earth observation Energy Environment Geospatial Global science GNSS Healthcare Health science Ionosphere Machine learning Medical Planetary science PNT Publication Regional science Remote sensing Research Safety Satellites Sensors Space Technology Tourism Trade Travel Water Weather

DATASETLY

A curated knowledge base and digital object identifier (DOI) archive that helps discover, cite, and reference reliable datasets and data insights.

Need help? Contact us

About

Subscribe

Terms

Submit a DOI / URL

FAQs

Nature Scientific Data

Our World in Data

PANGAEA

DOI Foundation

Zenodotus

Follow Us

  • X
  • Facebook
  • LinkedIn
  • About
  • Terms
  • Privacy
  • FAQs
  • Submit a DOI / URL
Copyright © 2026 DATASETLY. All Rights Reserved.