A New Leap in Vegetation Optical Depth and Soil Moisture Mapping from Space

Scientists from the Aerospace Information Research Institute (AIR) with the Chinese Academy of Sciences CAS) have developed a novel technique that leverages the Soil Moisture Active Passive mission data to extract crucial information about soil moisture (SM) and vegetation optical depth (VOD) with unprecedented accuracy.

Feb 26, 2024

---

Advancements in Satellite-based Crop Disease and Pest Monitoring

The collaborative project titled "Multi-source Satellite-coordinated Remote Sensing Monitoring of Crop Diseases and Pests", led by Prof. HUANG Wenjiang from the Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS)，funded by CAS International Partnership Program, has yield fruitful results in the remote sensing monitoring of crop diseases and pests at regional and national scales. Partnering internationally, the project collaborates with the Institute of Methodologies for Environmental Analysis under the Italian National Council of Research.

Feb 20, 2024

---

Study Reveals SDGSAT-1’s Superiority in Urban Wetland Monitoring

In a recent study published in the International Journal of Digital Earth on Jan. 30, researchers from the Aerospace Information Research Institute (AIR) with the Chinese Academy of Sciences (CAS) have leveraged the data from the Sustainable Development Goals Scientific Satellite 1 (SDGSAT-1) to sharpen the observation of urban wetland environments, particularly focusing on Beijing.

Feb 04, 2024

---

China Releases Second Phase of JLS-5M Satellite Data for Global Scientific Community

On January 2，2023，the National Earth Observation Data Center affiliated with the Aerospace Information Research Institute (AIR) under the Chinese Academy of Sciences (CAS), unveiled the second phase of the global 5-meter resolution wide-band multispectral satellite dataset, known as JLS-5M.

Jan 19, 2024

---

Fusion Method Enhances All-Weather Total Precipitable Water Monitoring

In a big stride towards advancing our understanding of the water cycle and climate change, researchers have unveiled a novel fusion method capable of providing high-resolution Total Precipitable Water (TPW) information even in challenging all-weather conditions. The method, detailed in a recent paper published in the Remote Sensing of Environment addresses the limitations faced by current satellite sensors in obtaining high-resolution TPW and introduces a fusion algorithm leveraging multiple water vapor-related variables from both microwave and near-infrared (NIR) remote sensing.

Jan 12, 2024

---