The Qinghai-Tibet Plateau, known for its high altitude, cold climate, and fragile ecosystem, presents unique challenges and opportunities for the implementation of an intelligent sponge urban system. The
This Experiment contains 2 datasets, corrected surface air temperature data and training data. The corrected surface air temperature data has been processed using meteorological observation data and thermal
Spatialization of near-surface air temperature and updating based on thermal infrared remote sensing information in the Qinghai-Tibet Plateau - metadata information
This experiment contains two datasets: corrected surface air temperature data and training data. The corrected surface air temperature data are generated by integrating observation temperature data from
Spatialization of near-surface air temperature and updating based on thermal infrared remote sensing information in the Qinghai-Tibet Plateau - corrected data
This dataset contains corrected surface air temperature data, which has been processed using meteorological observation data and thermal infrared remote sensing data. The data covers a high-altitude area
Spatialization of near-surface air temperature and updating based on thermal infrared remote sensing information in the Qinghai-Tibet Plateau - training data
This data set is the training data of the Spatialization of near-surface air temperature and updating based on thermal infrared remote sensing information in the Qinghai-Tibet Plateau. In the coverage