Home / Research Library / The 30 m annual land cover dataset and its dynamic...
🤖 Artificial Intelligence OpenAlex

The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019

📅 August 11, 2021 👤 Jie Yang, Xin Huang 📖 Earth system science data 📊 3,195 citations

🤖 Plain-English Summary

Land cover (LC) determines the energy exchange, water and carbon cycle between Earth's spheres. Gain for Green) in China and revealed the anthropogenic implications on LC under the condition of climate change, signifying its potential application in the global change research.

🔑 Key Findings

  • Accurate LC information is a fundamental parameter for the environment and climate studies.
  • Considering that the LC in China has been altered dramatically with the economic development in the past few decades, sequential and fine-scale LC monitoring is in urgent need.
  • However, currently, fine-resolution annual LC dataset produced by the observational images is generally unavailable for China due to the lack of sufficient training samples and computational capabilities.

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

Read the full paper
Access the original peer-reviewed research via OpenAlex.

View on DOI ↗

📋 Article Details

Category 🤖 Artificial Intelligence
Published Aug 11, 2021
Journal Earth system science data
Authors Jie Yang, Xin Huang
DOI 10.5194/essd-13-3907-2021
Citations 3,195
Source OpenAlex

More 🤖 Artificial Intelligence Research