Recent global snow cover trends using the MODIS dataset from 2000 to 2021

IF 4.5 Q2 ENVIRONMENTAL SCIENCES

Remote Sensing Applications-Society and Environment Pub Date : 2025-07-15 DOI:10.1016/j.rsase.2025.101662

Aftab Ahmed Khan PhD , Xingong Li PhD

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引用次数: 0

Abstract

The assessment of snow cover change trends at the global level has not been addressed adequately, regardless of snow's crucial role in the environment. This study uses MODIS daily products from 2000 to 2021 to analyze pixel-based Snow Cover Frequency (SCF) trends. This study examined trends at the daily, monthly, and annual levels. The trend analysis indicates a general decline in monthly mean SCF across both hemispheres, with the Northern Hemisphere experiencing a more pronounced negative trend. The Mann-Kendall test reveals that the Northern Hemisphere's decline is least negative in January, February, March, and December. Globally, SCF trends are negative for most months except November, which exhibits a positive slope trend, driven primarily by the Northern Hemisphere. In contrast, the Southern Hemisphere shows a consistently negative trend throughout the year and in the annual mean SCF.

Overall, the annual mean SCF is declining globally at a rate of −0.037 (%/year). These changing trends have several implications for millions of populations, biodiversity, agriculture, and commercial activities around the world. The results are computed for the short period (2000–2021), limiting the projections for long-term trends. Our global trends are varied, with several local and regional trends due to many complex regional and local contexts that need further localized assessments.

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使用MODIS数据集从2000年到2021年的近期全球积雪趋势

尽管雪在环境中起着至关重要的作用，但在全球范围内对积雪变化趋势的评估还没有得到充分的解决。本研究使用2000 - 2021年MODIS每日产品分析基于像素的积雪频率（SCF）趋势。这项研究调查了每日、每月和每年的趋势。趋势分析表明，两个半球的月平均气温普遍下降，北半球的负趋势更为明显。Mann-Kendall检验显示，北半球在1月、2月、3月和12月的下降幅度最小。在全球范围内，除11月外，大部分月份的SCF趋势为负，11月主要由北半球驱动，呈现正斜率趋势。相反，南半球全年和年平均SCF呈持续的负趋势。总体而言，全球年平均SCF以- 0.037（%/年）的速度下降。这些变化趋势对全世界数百万人口、生物多样性、农业和商业活动产生了若干影响。计算结果为短期（2000-2021年），限制了对长期趋势的预测。我们的全球趋势各不相同，由于许多复杂的区域和地方情况需要进一步的本地化评估，有一些地方和区域趋势。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Remote Sensing Applications-Society and Environment Multiple-

CiteScore

8.00

自引率

8.50%

发文量

204

审稿时长

65 days

期刊介绍： The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems