Multi-Index satellite-based assessment of soil surface dynamics in the Niger Delta (Nigeria)

Résumé

The Niger Delta region of Nigeria has experienced significant environmental degradation from oil and gas extraction, urban expansion, and deforestation, all of which directly affect vegetation patterns, surface moisture, built-up areas, and local thermal properties, thereby affecting soil surface dynamics. This study conducted a multi-index satellite-based analysis of soil surface dynamics in the Niger Delta between 2019 and 2024. Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-up Index (NDBI), Normalized Difference Water Index (NDWI), and Land Surface Temperature (LST) were derived from Sentinel-2 ('COPERNICUS/S2_SR') and MODIS datasets using the Google Earth Engine (GEE) platform. Land Use/Land Cover (LULC) classification was further applied to qualitatively validate spectral index patterns against mapped land cover types. The results showed that LST had a negative correlation with NDVI (r = −0.14) and positive correlations with NDBI (r = 0.72) and NDWI (r = 0.16), reflecting interactions between vegetation cover, soil moisture, surface sealing, and temperature across the region. The LULC classification demonstrated strong spatial agreement with the spectral indices, supporting the reliability of the observed patterns. These patterns highlight complex interactions among vegetation, surface moisture, urbanisation, and temperature dynamics in the Niger Delta, underscoring the importance of integrating spectral indices with LST to assess soil surface dynamics and support environmental monitoring.

Citer ce document

Accès au document

Texte intégral en lecture en ligne, réservé aux abonnés SPHAERO et aux membres de l'institution. Se connecter

Auteur(s)

Statistiques

Consultations : 1

Téléchargements : 0