青藏高原草地退化类型空间分布数据集
收藏国家对地观测科学数据中心2023-05-23 更新2024-03-04 收录
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https://noda.ac.cn/datasharing/datasetDetails/641d9fffa7c53809faadedb6
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资源简介:
青藏高原拥有丰富的草地资源,对我国畜牧业生产发展、涵养水源及全球气候变化具有重要的作用。然而,近几十年来,在季节性过度放牧和开矿采金等人为干扰因素,以及气候暖干化和鼠虫害等不利自然因素的影响下,青藏高原草地退化明显。青藏高原草地退化类型空间分布数据集(GLD_Tibet)是基于连续时间序列的AVHRR-NDVI 数据和SPOT-NDVI 数据,采用Sense 趋势度和Mann-Kendall 变化趋势检验的方法获取的。该数据集包括1991-2000 年和2001-2012 年两期青藏高原草地退化类型空间分布数据,有效反映了青藏高原草地退化类型和程度的空间差异,对揭示全球气候变化和人类干扰影响下的青藏高原草地退化时空过程具有重要的参考价值。
The Qinghai-Tibet Plateau boasts abundant grassland resources, which plays a vital role in China's animal husbandry development, water conservation and mitigation of global climate change. However, in recent decades, the plateau has experienced significant grassland degradation under the combined impacts of anthropogenic disturbances including seasonal overgrazing, mining and gold extraction, as well as adverse natural factors such as climate warming-drying, rodent and pest infestations. The Grassland Degradation Type Spatial Distribution Dataset of the Qinghai-Tibet Plateau (GLD_Tibet) was developed based on continuous time-series AVHRR-NDVI and SPOT-NDVI datasets, using the Sen's slope and Mann-Kendall trend test methods. This dataset includes two phases of spatial distribution data of grassland degradation types on the Qinghai-Tibet Plateau, covering the periods from 1991 to 2000 and from 2001 to 2012. It effectively reflects the spatial differences in the types and degrees of grassland degradation across the Qinghai-Tibet Plateau, and provides important reference values for revealing the spatiotemporal processes of grassland degradation on the plateau under the influences of global climate change and human disturbances.
创建时间:
2023-05-23
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集是基于AVHRR-NDVI和SPOT-NDVI连续时间序列数据,采用趋势分析和Mann-Kendall测试方法生成的青藏高原草地退化类型空间分布数据,涵盖1991-2000和2001-2012两个时期。它以1km和8km分辨率呈现栅格数据,有效反映了草地退化的类型和程度的空间差异,为研究全球气候变化和人类活动影响下的草地退化时空过程提供了重要参考。
以上内容由遇见数据集搜集并总结生成



