亚洲高山区冰冻圈要素指数驱动数据集（2000-2023）

高时空分辨率驱动数据集为冰冻圈要素的监测与提取提供基础数据，满足冰冻圈要素数据采集困难、冰冻圈速变探测对数据产品高时效性需求。亚洲高山区冰冻圈要素指数驱动数据集（2000-2023）包含逐日积雪指数NDSI、植被指数NDVI和水体指数NDWI三套数据，空间分辨率500m。首先在MODIS遥感数据的基础上提取积雪、植被和水体指数，其次通过同一天Terra-Aqua指数数据融合、三次样条函数插值算法以及Canny边缘检测和填充等技术处理。随着全球气候变暖，冰冻圈正在经历显著的变化，如冰川积雪的消融、海冰的减少以及冻土的退化。这些变化不仅影响地球的水资源和海平面，还对生态系统、气候模式和人类活动产生广泛的影响。高时空驱动数据集对冰冻圈的监测和研究提供数据参考，对于理解冰冻圈变化及其对气候变化的影响及响应具有重要意义。

The high spatiotemporal resolution driving dataset provides basic data for the monitoring and extraction of cryospheric elements, meeting the high timeliness requirements of rapid cryospheric change detection given the difficulty in collecting cryospheric element data. The Cryospheric Elements Index Driving Dataset for High Mountain Asia (2000–2023) includes three sets of daily data: Normalized Difference Snow Index (NDSI), Normalized Difference Vegetation Index (NDVI), and Normalized Difference Water Index (NDWI), with a spatial resolution of 500 m. First, snow, vegetation and water indices are extracted based on MODIS remote sensing data. Subsequently, processing is conducted via technologies including same-day Terra-Aqua index data fusion, cubic spline interpolation algorithm, Canny edge detection and gap filling. With global warming, the cryosphere is undergoing significant changes, such as glacier and snow melt, sea ice decline and permafrost degradation. These changes not only affect Earth's water resources and sea level, but also exert widespread impacts on ecosystems, climate models and human activities. This high spatiotemporal resolution driving dataset provides data references for cryospheric monitoring and research, and holds great significance for understanding cryospheric changes and their impacts on and responses to climate change.

搜集汇总

背景与挑战

背景概述

该数据集是针对亚洲高山区冰冻圈要素的指数驱动数据集，覆盖2000年至2023年，提供逐日的积雪指数NDSI、植被指数NDVI和水体指数NDWI三套数据，空间分辨率为500米，基于MODIS遥感数据并通过融合、插值等技术处理而成。它旨在支持冰冻圈要素的监测与提取，满足高时空分辨率需求，以应对全球气候变暖下冰冻圈变化（如冰川消融、冻土退化）的挑战，为水资源、生态系统和气候模式研究提供重要数据参考。