Assessing Recent Trends of Land Degradation and Desertification in Romania Using Remote Sensing Indicators

28 Pages Posted: 19 May 2023

See all articles by Irina Ontel

Irina Ontel

National Meteorological Administration

Sorin Cheval

affiliation not provided to SSRN

Anisoara Irimescu

affiliation not provided to SSRN

George Boldeanu

affiliation not provided to SSRN

Vlad Alexandru Amihaesei

affiliation not provided to SSRN

Denis Mihailescu

affiliation not provided to SSRN

Claudiu Valeriu Angearu

affiliation not provided to SSRN

Argentina Nertan

affiliation not provided to SSRN

Vasile Craciunescu

affiliation not provided to SSRN

Abstract

Land Degradation (LD) and Desertification (DS) are a sensitive global issue including southern and south-eastern Europe, which is severely affected by climate change. In this study it was proposed an innovative approach for assessing the intensity of land degradation and desertification processes using remote sensing derived indicators within a GIS environment. The analysis was carried out using the Principal Component Analysis (PCA) based on integrating the significant trends of relevant biophysical parameters, such as: Normalized Difference Vegetation Index (NDVI), Net Primary Productivity (NPP), Black Sky Albedo (BSA), Evapotranspiration (ET) and Land Surface Temperature (LST). The methodology was tested and validated at the national level in Romania, but this model can be easily applied elsewhere, provided the availability of the data used. 7.76% of the total area was identified as LD and 60.8% of the total area tends to improve, and 31.44% are stable. Most of the regions with LD overlap with the dryland areas, while improvement areas were identified outside of the drylands. In forested areas from high altitudes a tendency to improve the condition of vegetation was observed, most of the surfaces being protected natural areas that have benefited from proper management. All these results can be used to adapt management practices to avoid, reduce or restore the LD. The proposed model was based on globally available remote sensing datasets, with a high frequency of data acquisition and collection history that allows statistical analyses of changes on a global scale.

Keywords: Land Degradation, Desertification, Drylands, Remote Sensing, Principal Component Analysis

Suggested Citation

Ontel, Irina and Cheval, Sorin and Irimescu, Anisoara and Boldeanu, George and Amihaesei, Vlad Alexandru and Mihailescu, Denis and Angearu, Claudiu Valeriu and Nertan, Argentina and Craciunescu, Vasile, Assessing Recent Trends of Land Degradation and Desertification in Romania Using Remote Sensing Indicators. Available at SSRN: https://ssrn.com/abstract=4453641 or http://dx.doi.org/10.2139/ssrn.4453641

Irina Ontel (Contact Author)

National Meteorological Administration ( email )

Bucharest
Romania

Sorin Cheval

affiliation not provided to SSRN ( email )

No Address Available

Anisoara Irimescu

affiliation not provided to SSRN ( email )

No Address Available

George Boldeanu

affiliation not provided to SSRN ( email )

No Address Available

Vlad Alexandru Amihaesei

affiliation not provided to SSRN ( email )

No Address Available

Denis Mihailescu

affiliation not provided to SSRN ( email )

No Address Available

Claudiu Valeriu Angearu

affiliation not provided to SSRN ( email )

No Address Available

Argentina Nertan

affiliation not provided to SSRN ( email )

No Address Available

Vasile Craciunescu

affiliation not provided to SSRN ( email )

No Address Available

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