A study published in Environmental Science & Technology introduces a satellite-based method that significantly improves the accuracy of carbon dioxide (CO₂) emission estimates from coal-fired power plants. Developed by researchers at the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences, the approach enhances our ability to track greenhouse gas emissions in near real-time—crucial for global efforts to combat climate change and achieve national climate goals.

A recent study published in Nature Communications unveils that 17.31% of tropical tree cover—equivalent to 395.9 million hectares (Mha)—has been consistently overlooked by global forest monitoring systems. Using high-resolution satellite imagery (<5m) and an advanced automated algorithm, an international research team mapped previously undetected tree cover (PUTC) across pan-tropical regions from 2015–2022. Their findings highlight significant net losses and critical blind spots in current forest conservation efforts.

A team of Chinese researchers has developed a powerful new method to create highly detailed 3D models of cities using radar data, helping overcome long-standing challenges in urban mapping. By combining artificial intelligence (AI) with building geometry, the new technique—called Geo-SETRA—can produce clearer, more complete images of urban landscapes, potentially transforming how cities are monitored, planned, and protected.