This project investigates how intelligent sponge city technologies can mitigate urban heat islands (UHI) in the Qinghai-Tibet Plateau. It aims to develop scalable models for climate-resilient urban planning
Near-surface air temperature dataset for the Qinghai-Tibet Plateau (2019) derived from thermal infrared remote sensing and elevation-constrained modeling
This dataset provides high-resolution (30 m) spatialized near-surface air temperature products for the Qinghai-Tibet Plateau, updated using thermal infrared remote sensing data from Landsat 8 (L8) and
This experiment contains 30-meter resolution near-surface air temperature datasets for four glacier regions (Guliya, Aru, Naimona’nyi, Dunde) on the Qinghai-Tibet Plateau, derived by integrating in situ
This dataset contains spatial distribution of near-surface air temperature in the glacierized areas of the Tibetan Plateau, which has been processed using meteorological observation data, thermal infrared
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
Near-surface air temperature dataset for the Qinghai-Tibet Plateau (2019) derived from thermal infrared remote sensing and elevation-constrained modeling - metadata information
This study presents a high-resolution (30 m) spatialized near-surface air temperature dataset for the Qinghai-Tibet Plateau (QTP) by integrating Landsat 8/9 thermal imagery (Collection 2 Level 2) with
Near-surface air temperature dataset for the Qinghai-Tibet Plateau (2019) derived from thermal infrared remote sensing and elevation-constrained modeling - corrected data
This dataset provides 30m-resolution spatialized near-surface air temperature products for the Qinghai-Tibet Plateau, derived from meteorological observations (2019) and thermally corrected Landsat 8/9
This study integrates four high-altitude glacierized datasets (Aru, Guliya, Naimona’nyi, and Dunde) on the Tibetan Plateau, covering observations from January to November 2019. Near-surface air temperature
This Near-Surface Air Temperature Dataset for Aru Glacier (Qinghai-Tibet Plateau, 2019) provides spatially distributed temperature estimates derived from eight high-altitude meteorological stations on
Spatial distribution of air temperature in high-elevation glacierized regions: from observations in four catchments on the Tibetan Plateau - Dunde data
This dataset provides near-surface air temperature distributions (January–November 2019) over Dunde Glacier, a high-altitude glacier located on the northeastern Qinghai-Tibet Plateau near the Qilian Mountains.
Spatial distribution of air temperature in high-elevation glacierized regions: from observations in four catchments on the Tibetan Plateau - Guliya data
This dataset presents monthly near-surface air temperature distributions (January–October 2019) for Guliya Glacier, an outlet glacier of the western Kunlun Mountains’ ice cap on the Qinghai-Tibet Plateau.
Spatial distribution of air temperature in high-elevation glacierized regions: from observations in four catchments on the Tibetan Plateau - Naimona'nyi data
This dataset provides high-resolution (30 m grid) near-surface air temperature estimates for Naimona'nyi Glacier, a valley glacier on the Qinghai-Tibet Plateau (2019), derived from ground-based meteorological
This experiment contains eight datasets: Aru Data, Naimona’nyi Data, Guliya Data, Parlung Data, Dunde Data, Dagze Data, XiaodongKemadi Data and Southeastern data (China southeast of Qinghai-Tibet plateau
This is a Near-Surface Air Temperature Dataset for Aru Glacier (Qinghai-Tibet Plateau, 2019). This dataset provides spatially distributed near-surface air temperature over Aru Glacier, a typical valley
This dataset provides near-surface air temperature distributions (January-October2019) over Dagze Glacier in the high-altitude, located on the inner Qinghai-Tibet Plateau. The data were derived from meteorological