Hayat Ullah Khan, Muhammad Waseem, Mudassar Iqbal, Faraz Ul Haq, Abu Bakar Arshed, Muhammad Laraib, Umar Sultan
{"title":"巴基斯坦俾路支省不同土地覆被类型的干旱持续时间和严重程度对干旱恢复期的影响","authors":"Hayat Ullah Khan, Muhammad Waseem, Mudassar Iqbal, Faraz Ul Haq, Abu Bakar Arshed, Muhammad Laraib, Umar Sultan","doi":"10.1007/s12524-024-01947-6","DOIUrl":null,"url":null,"abstract":"<p>Drought is a prevalent complex natural disaster due to its environmental extent and can severely impact global ecosystems. For the purpose of monitoring droughts and assessing their effects on a regional and global level, usually remote sensing data with an appropriate temporal and spatial resolution can be accessed. This research utilized the Moderate Resolution Imaging Spectroradiometer (MODIS)-based normalized difference vegetation index (NDVI), land surface temperature (LST), gross primary productivity (GPP) and vegetation health index (VHI) to investigate the historical duration, severity and recovery period for drought in selected districts of Balochistan. The Pearson correlation was used to determine the local link between the duration and severity of the drought between 2001 and 2021. The results showed that 2001, 2002, and 2004 were the driest years in which extreme to mild drought occurred with severity of 36%, 48% and 48% respectively. On the other hand, the drought duration result revealed 80–275 days, 160–275 days, and 176–275 days for 2001, 2002, and 2004 respectively. The result also indicated that crop land, water bodies, grass land and forest land, were positive correlation while shrub land was negative correlation with drought severity. On the other hand, crop land, water bodies, grass land and forest land, were negative correlation while shrub land was the positive correlation with drought duration. The drought recovery period analysis resulted in 16–66 days, 18–67 days, and 17–66 days for the years 2001, 2002, and 2004 respectively. With every aspect considered, the study offers insightful information on drought resistance for improved management.</p>","PeriodicalId":17510,"journal":{"name":"Journal of the Indian Society of Remote Sensing","volume":"21 1","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of Drought Duration and Severity on Drought Recovery Period for Different Land Cover Types in Balochistan, Pakistan\",\"authors\":\"Hayat Ullah Khan, Muhammad Waseem, Mudassar Iqbal, Faraz Ul Haq, Abu Bakar Arshed, Muhammad Laraib, Umar Sultan\",\"doi\":\"10.1007/s12524-024-01947-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Drought is a prevalent complex natural disaster due to its environmental extent and can severely impact global ecosystems. For the purpose of monitoring droughts and assessing their effects on a regional and global level, usually remote sensing data with an appropriate temporal and spatial resolution can be accessed. This research utilized the Moderate Resolution Imaging Spectroradiometer (MODIS)-based normalized difference vegetation index (NDVI), land surface temperature (LST), gross primary productivity (GPP) and vegetation health index (VHI) to investigate the historical duration, severity and recovery period for drought in selected districts of Balochistan. The Pearson correlation was used to determine the local link between the duration and severity of the drought between 2001 and 2021. The results showed that 2001, 2002, and 2004 were the driest years in which extreme to mild drought occurred with severity of 36%, 48% and 48% respectively. On the other hand, the drought duration result revealed 80–275 days, 160–275 days, and 176–275 days for 2001, 2002, and 2004 respectively. The result also indicated that crop land, water bodies, grass land and forest land, were positive correlation while shrub land was negative correlation with drought severity. On the other hand, crop land, water bodies, grass land and forest land, were negative correlation while shrub land was the positive correlation with drought duration. The drought recovery period analysis resulted in 16–66 days, 18–67 days, and 17–66 days for the years 2001, 2002, and 2004 respectively. With every aspect considered, the study offers insightful information on drought resistance for improved management.</p>\",\"PeriodicalId\":17510,\"journal\":{\"name\":\"Journal of the Indian Society of Remote Sensing\",\"volume\":\"21 1\",\"pages\":\"\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Indian Society of Remote Sensing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s12524-024-01947-6\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Indian Society of Remote Sensing","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s12524-024-01947-6","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Impact of Drought Duration and Severity on Drought Recovery Period for Different Land Cover Types in Balochistan, Pakistan
Drought is a prevalent complex natural disaster due to its environmental extent and can severely impact global ecosystems. For the purpose of monitoring droughts and assessing their effects on a regional and global level, usually remote sensing data with an appropriate temporal and spatial resolution can be accessed. This research utilized the Moderate Resolution Imaging Spectroradiometer (MODIS)-based normalized difference vegetation index (NDVI), land surface temperature (LST), gross primary productivity (GPP) and vegetation health index (VHI) to investigate the historical duration, severity and recovery period for drought in selected districts of Balochistan. The Pearson correlation was used to determine the local link between the duration and severity of the drought between 2001 and 2021. The results showed that 2001, 2002, and 2004 were the driest years in which extreme to mild drought occurred with severity of 36%, 48% and 48% respectively. On the other hand, the drought duration result revealed 80–275 days, 160–275 days, and 176–275 days for 2001, 2002, and 2004 respectively. The result also indicated that crop land, water bodies, grass land and forest land, were positive correlation while shrub land was negative correlation with drought severity. On the other hand, crop land, water bodies, grass land and forest land, were negative correlation while shrub land was the positive correlation with drought duration. The drought recovery period analysis resulted in 16–66 days, 18–67 days, and 17–66 days for the years 2001, 2002, and 2004 respectively. With every aspect considered, the study offers insightful information on drought resistance for improved management.
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.