In the vast and unforgiving expanse of Antarctica, where human activities are on the rise, researchers from the Key Laboratory of Digital Earth Science with the Aerospace Information Research Institute (AIR) under the Chinese Academy of Sciences (CAS) have introduced a new tool to navigate the challenges posed by the harsh environment. The newly defined Human Activity Suitability (HAS) index aims to provide essential macro-scale information for decision-makers when selecting sites for human activities on Antarctic ice shelves.

In a recent survey conducted by the International Research Center of Big Data for Sustainable Development Goals (CBAS), 51 experts from various scientific fields worldwide shared their insights on the role of Digital Public Goods (DPGs) in advancing the United Nations Sustainable Development Goals (SDGs). The survey aimed to shed light on defining DPGs and addressing challenges associated with their practical implementation in supporting the SDGs.

Ground-penetrating radar (GPR) has long been a pivotal tool in estimating the permittivity of various mediums. A significant technique used in this estimation is the radar echo amplitude method, which crucially derives permittivity magnitude through the correlation between reflection coefficients and permittivity. Building upon this principle, a recent study published in Remote Sensing on Oct. 31 introduces a full-wave inversion real-time permittivity estimation method specifically tailored for stepped-frequency GPR (SFGPR).

Scientists from the National Engineering Research Center for Satellite Remote Sensing Applications, Aerospace information Research Institute (AIR), Chinese Academy of Sciences (CAS), together with collaborators from Shihezi University (Xinjiang, China), harnessed solar-induced chlorophyll fluorescence as a potent indicator for predicting crop yields, and achieved significant advancements in the realm of mid-season cotton yield forecast in Xinjiang.

Hyperspectral satellites offer more precise quantitative analysis than multipectral satellites, making them invaluable for global ecological monitoring, crop identification, and biodiversity research.On May 6, 2024, the world's first 10-meter-resolution Wide-Swath Hyperspectral Satellite Dataset (OHS-10M) was officially opened to global users for sharing.

A research team led by Prof. LIU Liangyun from the Aerospace Information Research Institute (AIR) with the Chinese Academy of Sciences (CAS) has unveiled a comprehensive set of global wetland maps, shedding light on these vital ecosystems like never before.