ARC-2024：2024年泛北极地区10米分辨率土地覆盖图

北极陆表植被作为气候变化的灵敏指示器，其空间分布格局在北极生态、地气能-水-碳循环及全球气候变化均不可或缺，但植被类型的准确提取又充满挑战，主要源于其显著的空间异质性、复杂地表特征和极端环境条件。为应对这些挑战，本研究开发了ARC-2024环北极地表覆盖数据产品，该产品具有10米空间...

Arctic terrestrial vegetation, as a sensitive indicator of climate change, has a spatial distribution pattern that is indispensable for Arctic ecosystems, the land-atmosphere energy-water-carbon cycle, and global climate change. However, the accurate extraction of vegetation types is fraught with challenges, which mainly stem from its remarkable spatial heterogeneity, complex surface features, and extreme environmental conditions. To address these challenges, this study developed the ARC-2024 Circumpolar Arctic Land Cover Dataset, which features a 10-meter spatial...

搜集汇总

背景与挑战

背景概述

ARC-2024是一个2024年泛北极地区的10米分辨率土地覆盖数据集，专门针对北极生态多样性设计了10个分类类别（如低灌木、矮灌木、草、苔藓地衣等）。它采用时间序列匹配分类方法，有效克服了传统对完整时间序列的依赖，验证显示总体精度达87.78%，相比现有产品平均提升超过16%，特别在细粒度苔原植被识别上具有优势。