利用 MODIS 衍生指数和谷歌地球引擎平台对古吉拉特邦瓦多达拉地区进行干旱监测

IF 2.2 4区 地球科学 Q3 ENVIRONMENTAL SCIENCES Journal of the Indian Society of Remote Sensing Pub Date : 2024-06-21 DOI:10.1007/s12524-024-01922-1
Sharmistha Bhowmik, Bindu Bhatt
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引用次数: 0

摘要

干旱被认为是所有自然灾害中最复杂但最不为人所知的一种,影响着更多的人。干旱易发地区几乎每隔几年就会再次出现干旱。此外,干旱的发生和结束都缺乏突发性,不易识别。在全球气候变化的背景下,干旱的影响呈现出复杂性和多过程的特点。它对水资源、农业、社会和经济都有重大影响,因此需要引起重视。植被状况指数(VCI)用于观测导致农业干旱的植被变化。由于地表温度受云层污染和空气湿度的影响最小,因此采用温度状况指数(TCI)来研究温度变化。土壤的干湿度是农业的一个重要指标,谷歌地球引擎(GEE)平台上的 MODIS 卫星数据对 2008 年至 2022 年(15 年)季风前后的植被和温度压力进行了综合评估。植被状况指数(VCI)用于观测导致农业干旱的植被变化。由于地表温度受云层污染和空气湿度的影响最小,因此使用温度状况指数(TCI)来研究温度变化。研究还结合了 WorldClim 的降水数据,研究其对植被健康指数(VHI)的影响。Mann Kendall 趋势分析用于研究季风前和季风后季节干旱严重程度的时空变化。结果强调了 VHI 对降雨模式变化的敏感性,为干旱监测和管理提供了有价值的见解。总之,这项研究加深了人们对干旱动态的了解,并强调了遥感数据和气候信息对有效评估和缓解干旱战略的重要意义。
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Drought Monitoring Using MODIS Derived Indices and Google Earth Engine Platform for Vadodara District, Gujarat

Drought is considered to be the most complex but least understood of all natural hazards, affecting more people. Its reappearance in drought-prone areas every few years is almost certain. Also, they lack sudden and easily identified onsets and terminations. Under the background of global climate change, the impact from drought exhibits the characteristics of complexity and multi-process. It has a significant impact on the water resources, agriculture, society, and economy hence needs attention. Vegetation Condition Index (VCI) is used for observing the change in vegetation that causes agricultural drought. Since the land surface temperature has minimum influence from cloud contamination and humidity in the air, so the Temperature Condition Index (TCI) is used for studying the temperature change. Dryness or wetness of soil is a major indicator for agriculture and a comprehensive assessment of vegetation and temperature stress is achieved from MODIS satellite data in Google Earth Engine (GEE) platform for pre and post monsoon season from 2008 to 2022 (15- year period). Vegetation Condition Index (VCI) is used for observing the change in vegetation that causes agricultural drought. Since the land surface temperature has minimum influence from cloud contamination and humidity in the air, so the Temperature Condition Index (TCI) is used for studying the temperature change. The research also incorporates precipitation data from WorldClim to investigate its influence on the Vegetation Health Index (VHI). Mann Kendall trend analysis is employed to examine spatio-temporal variations in drought severity, for both pre-monsoon and post-monsoon seasons. The results emphasize the sensitivity of VHI to shifts in rainfall patterns, providing valuable insights for drought monitoring and management. In essence, this study enhances understanding of drought dynamics and emphasizes the significance of Remote Sensing data and climate information for effective drought assessment and mitigation strategies.

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来源期刊
Journal of the Indian Society of Remote Sensing
Journal of the Indian Society of Remote Sensing ENVIRONMENTAL SCIENCES-REMOTE SENSING
CiteScore
4.80
自引率
8.00%
发文量
163
审稿时长
7 months
期刊介绍: The aims and scope of the Journal of the Indian Society of Remote Sensing are to help towards advancement, dissemination and application of the knowledge of Remote Sensing technology, which is deemed to include photo interpretation, photogrammetry, aerial photography, image processing, and other related technologies in the field of survey, planning and management of natural resources and other areas of application where the technology is considered to be appropriate, to promote interaction among all persons, bodies, institutions (private and/or state-owned) and industries interested in achieving advancement, dissemination and application of the technology, to encourage and undertake research in remote sensing and related technologies and to undertake and execute all acts which shall promote all or any of the aims and objectives of the Indian Society of Remote Sensing.
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