A research team led by Prof. MENG Qingyan from the Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS) proposed an estimation method to quantify the impacts of anthropogenic heat (AH) on UHI. The study was published in Remote Sensing of Environment.

Using an aeronautic remote sensing system, Chinese scientists have obtained effective mountain glacier data during an ongoing airborne-ground science experiment on detecting the condition of Bayi Glacier in Haibei Tibetan Autonomous Prefecture, northwest China’s Qinghai Province, according to the Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS). It is the first time internationally that a combined P-band, L-band, and VHF-band radar glacier detection experiment was conducted based on an airborne platform.

Scientists from the State Key Laboratory of Remote Sensing Science with the Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS) proposed a new algorithm called AGAR, which makes it possible to detect tree heights only using 10-cm stereoscopic imagery, according to a study published in “Remote Sensing of Environment” on May 10.

From April 26 to May 4, 2023, a black soil observation experiment integrated satellite-aircraft-ground measurement was completed at the Youyi Farm in Shuangyashan City, Heilongjiang Province. The region is regarded as a major granary for the nation. Chinese Aeronautic Remote Sensing System (CARSS), a national major research infrastructure hosted by the Aerospace Information Research Institute (AIR) with the Chinese Academy of Sciences (CAS), is designated to undertake tasks such as regional multi-source remote sensing data acquisition and the transmission verification of satellite-aircraft-ground measurement in the test area.

A research team led by Prof. NIU Zheng from the State Key Laboratory of Remote Sensing Science with the Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS) proposed correction algorithms while studying the geometric radiative effects existing in hyperspectral LiDAR.

A database titled “Hainan Resources and Environment Data Product”was released on the website of the CASEarth thematic data system and shared to the public free of charge, according to the International Research Center of Big Data for Sustainable Development Goals.Based on the self-developed remote sensing big data service platform, a research team from the Aerospace Information Research Institute under the Chinese Academy of Sciences has developed a series of remote sensing data products for resources and environment in Hainan Province by integrating remote sensing image radiation and geometric normalization processing algorithms as well as remote sensing monitoring models in vegetation ecology, water environment, agriculture, coastal zone, and urban environment.