Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.rsase.2021.100503 |
Detecting degraded, prone and transition ecosystems by environmental thresholds and spectral functions | |
Abdollahzadeh, Sara; Sepehr, Adel; Rashki, Alireza | |
通讯作者 | Sepehr, A (corresponding author), Ferdowsi Univ Mashhad, Dept Desert & Arid Zones Management, Mashhad, Razavi Khorasan, Iran. |
来源期刊 | REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT
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ISSN | 2352-9385 |
出版年 | 2021 |
卷号 | 22 |
英文摘要 | For determining of the desert ecosystem based on transition zones, a quantitative approach was applied in Khorasan Razavi province in northeast of Iran. The spectral and morphological algorithms were implemented in remote-sensing images of MODIS surface reflectance in order to determine the ecogeomorphic thresholds between the transition zones of the semi-arid ecosystems. Furthermore, the spectral angle mapper analysis was applied for the surface conditions and the mathematical morphology algorithm of dilation was used for identifying the recovery and erodibility potential trends in the heterogeneous land surface covers. A detailed assessment of the mapping was achieved by implementation of an iterative self-organized clustering technique (ISODATA) and calculation of separability of formed typologies classes using the transformed divergence algorithm. The assessment of NDVI (normalized difference vegetation index) in each cluster indicates an increasing trend of standard deviation, which shows maximum values near desert thresholds. According to the results, several desert thresholds were detected in susceptible ecosystems to desertification in Khorasan Razavi that were affected by natural and anthropogenic factors. Further evaluation shows the location of the transition zones and the thresholds under changing climatic conditions. In synopsis, in prone areas with the high potential to desertification, the ecosystem is susceptiblt to shift to desert state. |
英文关键词 | Desert thresholds Spectral algorithms Morphological algorithm Spatial instability Erodibility and recovery potentials Transition zones |
类型 | Article |
语种 | 英语 |
收录类别 | ESCI |
WOS记录号 | WOS:000654763200033 |
WOS关键词 | CATASTROPHIC SHIFTS ; VEGETATION ; PATTERNS ; RESILIENCE |
WOS类目 | Environmental Sciences ; Remote Sensing |
WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/352951 |
作者单位 | [Abdollahzadeh, Sara; Sepehr, Adel; Rashki, Alireza] Ferdowsi Univ Mashhad, Dept Desert & Arid Zones Management, Mashhad, Razavi Khorasan, Iran |
推荐引用方式 GB/T 7714 | Abdollahzadeh, Sara,Sepehr, Adel,Rashki, Alireza. Detecting degraded, prone and transition ecosystems by environmental thresholds and spectral functions[J],2021,22. |
APA | Abdollahzadeh, Sara,Sepehr, Adel,&Rashki, Alireza.(2021).Detecting degraded, prone and transition ecosystems by environmental thresholds and spectral functions.REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT,22. |
MLA | Abdollahzadeh, Sara,et al."Detecting degraded, prone and transition ecosystems by environmental thresholds and spectral functions".REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT 22(2021). |
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