Monitoring vegetation characteristics and degradation risk in Jordan using NDVI time series

Other Title(s)

مراقبة خصائص الغطاء النباتي و مخاطر تدهوره في الأردن باستخدام سلسلة زمنية لمؤشر الخضرة النباتي

Author

Makhamirah, Ziyad

Source

Dirasat : Human and Social Sciences

Issue

Vol. 46, Issue 3 (30 Sep. 2019), pp.590-604, 15 p.

Publisher

University of Jordan Deanship of Academic Research (DAR)

Publication Date

2019-09-30

Country of Publication

Jordan

No. of Pages

15

Main Subjects

Agriculture

Abstract EN

Satellite derived indices e.g.

NDVI have been widely used for vegetation analysis and change detection studies at different spatial scales.

This study analyses the vegetation characteristics and impact of long-term variation in vegetation cover upon land degradation in Jordan.

The inclination and significance of NDVI trends, which are derived from the Modified Seasonal Mann Kendall and the Seasonal Kendall Slope, are used to determine the hotspot of vegetation degradation during the period 1989 - 2004.

The analysis shows that the mountain regions are more vulnerable for vegetation degradation than other ecological regions due to climate variability, urban expansion, and changes in land use systems.

The effect of climate variability and the impact of improper land use on the natural ecosystem in the transitional zone are becoming more vulnerable to land degradation.

The vulnerability of the irrigated farms to degradation in the Jordan valley is mainly due to the fluctuations in available water for irrigation, while the pattern of ground water utilization has important effect on vegetation distribution in the desert regions.

However, in the Desert regions, the NDVI trend components are not significant as the value of vegetation density is very low.

It is noticeable that the land degradation triggered by rainfall variability, urban growth, expansion of irrigation, and socio-economic transformations.

American Psychological Association (APA)

Makhamirah, Ziyad. 2019. Monitoring vegetation characteristics and degradation risk in Jordan using NDVI time series. Dirasat : Human and Social Sciences،Vol. 46, no. 3, pp.590-604.
https://search.emarefa.net/detail/BIM-1176950

Modern Language Association (MLA)

Makhamirah, Ziyad. Monitoring vegetation characteristics and degradation risk in Jordan using NDVI time series. Dirasat : Human and Social Sciences Vol. 46, no. 3 (2019), pp.590-604.
https://search.emarefa.net/detail/BIM-1176950

American Medical Association (AMA)

Makhamirah, Ziyad. Monitoring vegetation characteristics and degradation risk in Jordan using NDVI time series. Dirasat : Human and Social Sciences. 2019. Vol. 46, no. 3, pp.590-604.
https://search.emarefa.net/detail/BIM-1176950

Data Type

Journal Articles

Language

English

Notes

Record ID

BIM-1176950