利用地球卫星modis传感器ndvi产品探测西南亚俾路支省长期植被退化

IF 0.9 4区 环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES
P. Mahmoudi, S. A. Shirazi, S. M. A. Jahanshahi, F. Firoozi, N. Mazhar
{"title":"利用地球卫星modis传感器ndvi产品探测西南亚俾路支省长期植被退化","authors":"P. Mahmoudi, S. A. Shirazi, S. M. A. Jahanshahi, F. Firoozi, N. Mazhar","doi":"10.30638/EEMJ.2021.029","DOIUrl":null,"url":null,"abstract":"The present study aimed at investigating the long-term degradation of vegetation in Baluchistan in southwest Asia. To achieve the objective NDVI products of the MODIS sensor on Terra Satellite (MOD13A3) with spatial resolution of 1 1 km for a period of 16 years (2000-2015) were used. After obtaining images from the NASA land processes distributed active archive center, all images downloaded for the study area were mosaicked and referenced by Universal Transverse Mercator Project System and by using the nearest-neighbour re-sampling method. Then, on a pixel-based scale, the trend of long-term changes in vegetation was studied using the seasonal Mann-Kendall non-parametric test. The results show that 1.23% of the total area under study had a long-term decreasing trend in vegetation. Out of this 1.23%, 0.33% were significant at a probability level of a = 0.01, 0.24% was significant at a probability level of a = 0.05, and 0.12% were significant at a probability level of a = 0.1. The decreasing trend of 0.54% of them was not confirmed at any of the significant levels. Among the various types of vegetation, shrublands and croplands had the most significant long-term decreasing changes, which could be dangerous signs of ecotones degradation as well as weakening the sustainable rural livelihoods in this land.","PeriodicalId":11685,"journal":{"name":"Environmental Engineering and Management Journal","volume":"20 1","pages":"291-300"},"PeriodicalIF":0.9000,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"DETECTION OF LONG-TERM VEGETATION DEGRADATION IN BALUCHISTAN IN SOUTHWEST ASIA USING NDVI PRODUCTS OF THE MODIS SENSOR OF TERRA SATELLITE\",\"authors\":\"P. Mahmoudi, S. A. Shirazi, S. M. A. Jahanshahi, F. Firoozi, N. Mazhar\",\"doi\":\"10.30638/EEMJ.2021.029\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The present study aimed at investigating the long-term degradation of vegetation in Baluchistan in southwest Asia. To achieve the objective NDVI products of the MODIS sensor on Terra Satellite (MOD13A3) with spatial resolution of 1 1 km for a period of 16 years (2000-2015) were used. After obtaining images from the NASA land processes distributed active archive center, all images downloaded for the study area were mosaicked and referenced by Universal Transverse Mercator Project System and by using the nearest-neighbour re-sampling method. Then, on a pixel-based scale, the trend of long-term changes in vegetation was studied using the seasonal Mann-Kendall non-parametric test. The results show that 1.23% of the total area under study had a long-term decreasing trend in vegetation. Out of this 1.23%, 0.33% were significant at a probability level of a = 0.01, 0.24% was significant at a probability level of a = 0.05, and 0.12% were significant at a probability level of a = 0.1. The decreasing trend of 0.54% of them was not confirmed at any of the significant levels. Among the various types of vegetation, shrublands and croplands had the most significant long-term decreasing changes, which could be dangerous signs of ecotones degradation as well as weakening the sustainable rural livelihoods in this land.\",\"PeriodicalId\":11685,\"journal\":{\"name\":\"Environmental Engineering and Management Journal\",\"volume\":\"20 1\",\"pages\":\"291-300\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2021-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Engineering and Management Journal\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.30638/EEMJ.2021.029\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Engineering and Management Journal","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.30638/EEMJ.2021.029","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 1

摘要

本研究旨在调查西南亚俾路支省植被的长期退化情况。为了实现目标,使用了Terra卫星(MOD13A3)上MODIS传感器的NDVI产品,其空间分辨率为11公里,为期16年(2000-2015年)。在从美国国家航空航天局陆地过程分布式活动档案中心获得图像后,通过通用横向墨卡托项目系统和最近邻重新采样方法对为研究区域下载的所有图像进行拼接和参考。然后,在基于像素的尺度上,使用季节性Mann-Kendall非参数检验研究了植被的长期变化趋势。结果表明,1.23%的研究区域植被长期呈下降趋势。在这1.23%中,0.33%在a=0.01的概率水平下显著,0.24%在a=0.05的概率水平上显著,0.12%在a+0.1的概率级别上显著。其中0.54%的下降趋势在任何显著水平上都没有得到证实。在各种类型的植被中,灌木林和农田的长期减少变化最为显著,这可能是生态交错带退化的危险迹象,也可能削弱这片土地上可持续的农村生计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DETECTION OF LONG-TERM VEGETATION DEGRADATION IN BALUCHISTAN IN SOUTHWEST ASIA USING NDVI PRODUCTS OF THE MODIS SENSOR OF TERRA SATELLITE
The present study aimed at investigating the long-term degradation of vegetation in Baluchistan in southwest Asia. To achieve the objective NDVI products of the MODIS sensor on Terra Satellite (MOD13A3) with spatial resolution of 1 1 km for a period of 16 years (2000-2015) were used. After obtaining images from the NASA land processes distributed active archive center, all images downloaded for the study area were mosaicked and referenced by Universal Transverse Mercator Project System and by using the nearest-neighbour re-sampling method. Then, on a pixel-based scale, the trend of long-term changes in vegetation was studied using the seasonal Mann-Kendall non-parametric test. The results show that 1.23% of the total area under study had a long-term decreasing trend in vegetation. Out of this 1.23%, 0.33% were significant at a probability level of a = 0.01, 0.24% was significant at a probability level of a = 0.05, and 0.12% were significant at a probability level of a = 0.1. The decreasing trend of 0.54% of them was not confirmed at any of the significant levels. Among the various types of vegetation, shrublands and croplands had the most significant long-term decreasing changes, which could be dangerous signs of ecotones degradation as well as weakening the sustainable rural livelihoods in this land.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.60
自引率
36.40%
发文量
0
审稿时长
8.6 months
期刊介绍: Environmental Engineering and Management Journal is an international journal that publishes reviewed original research papers of both experimental and theoretical nature in the following areas: environmental impact assessment; environmental integrated management; risk assessment and management; environmental chemistry; environmental protection technologies (water, air, soil); pollution reduction at source and waste minimization; chemical and biological process engineering; cleaner production, products and services; sensors in environment control; sources of radiation and protection technologies; waste valorization technologies and management; environmental biotechnology; energy and environment; modelling, simulation and optimization for environmental protection; technologies for drinking and industrial water; life cycle assessments of products; environmental strategies and policies; cost-profitt analysis in environmental protection; eco-industry and environmental market; environmental education and sustainable development. Environmental Engineering and Management Journal will publish: original communications describing important new discoveries or further developments in the above-mentioned topics; reviews, mainly of new rapidly developing areas of environmental protection; special themed issues on relevant topics; advertising.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信