Corrigendum to “Analysis of areas undergoing desertification, using EVI2 multi-temporal data based on MODIS imagery as indicator” [Ecological Indicators (2020) 106004]

Bezerra, Francisco Gilney; Aguiar, Ana Paula Dutra; Alvalá, Regina Célia dos Santos; Giarolla, Angélica; Bezerra, K.R.A.; Lima, Patrícia Verônica Pinheiro Sales Lima; Nascimento, Flávio Rodrigues do; Arai, Egídio

doi:10.1016/j.ecolind.2020.106752

Cited by 2 publications

(1 citation statement)

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“…Our research cycle is only 30 years, so in order to pursue the spatial resolution accuracy of the remote sensing data, we chose the Landsat series data at the cost of temporal resolution. In fact, if MODIS data are used, it is possible to calculate data with a wider time range and shorter intervals [72,73] Future studies that comprehensively consider temporal resolution, spatial resolution and spectral resolution will reveal the driving mechanism of desertification in the study area more systematically.…”

Section: Uncertainties In the Process Of Desertification And The Limi...mentioning

confidence: 99%

Spatio-Temporal Patterns and Driving Forces of Desertification in Otindag Sandy Land, Inner Mongolia, China, in Recent 30 Years

Yang

Shi

et al. 2023

Remote Sensing

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Desertification is one of the main obstacles to global sustainable development. Monitoring, evaluating and mastering its driving factors are very important for the prevention and control of desertification. As one of the largest deserts in China, the development of desertification in Otindag Sandy Land (OSL) resulted in the reduction in land productivity and serious ecological/environmental consequences. Although many ecological restoration projects have been carried out, the vegetation restoration of OSL and the impact mechanism of climate and human activities on desertification remain unclear. Methods: Taking OSL as the research area, this paper constructs the desertification index by using the remote sensing images and meteorological and socio-economic data, between 1986 and 2016, and analyzes the spatio-temporal evolution process and driving factors of desertification by using trend analysis and spearman rank correlation. Results: The results showed that: (1) Desertification in the OSL has fluctuated greatly during the past 30 years. Desertification recovered between 1986 and 1990, expanded and increased between 1990 and 2000, reduced between 2000 and 2004, developed rapidly between 2004 and 2007, and recovered again between 2007 and 2016; (2) The desertification of OSL is dominated by a non-significant change trend, accounting for 73.27%. In the significant change trend, the area of desertification rising trend is 20.32%, which is mainly located in the north and east, and the area of declining trend is 6.41%, which is mainly located in the southwest; (3) Desertification is the result of the superposition of climate and human activities. Climate change is the main influencing factor, followed by human activities, and the superposition effects of the two are spatio-temporal differences. Conclusions: These results shed light on the development of desertification in OSL and the relative importance and complex interrelationship between human activities and climate in regulating the process of desertification. Based on this, we suggest continuing to implement the ecological restoration policy and avoid the destruction of vegetation by large-scale animal husbandry in order to improve the situation of desertification.

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Section: Uncertainties In the Process Of Desertification And The Limi...mentioning

confidence: 99%

Spatio-Temporal Patterns and Driving Forces of Desertification in Otindag Sandy Land, Inner Mongolia, China, in Recent 30 Years

Yang

Shi

et al. 2023

Remote Sensing

View full text Add to dashboard Cite

show abstract

Geospatial analysis of land degradation by fuzzy membership algorithm in reference to Satna river basin in northern foreland of Peninsular India

Tiwari

Mishra

2022

Arab J Geosci

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Corrigendum to “Analysis of areas undergoing desertification, using EVI2 multi-temporal data based on MODIS imagery as indicator” [Ecological Indicators (2020) 106004]

Cited by 2 publications

References 0 publications

Spatio-Temporal Patterns and Driving Forces of Desertification in Otindag Sandy Land, Inner Mongolia, China, in Recent 30 Years

Spatio-Temporal Patterns and Driving Forces of Desertification in Otindag Sandy Land, Inner Mongolia, China, in Recent 30 Years

Geospatial analysis of land degradation by fuzzy membership algorithm in reference to Satna river basin in northern foreland of Peninsular India

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