Índice De Umidade Do Solo (ius) Por Meio Da Temperatura De Superfície E Índice De Vegetação Por Diferença Normalizada: Estudo De Caso Distrito De Angónia, Moçambique
Year: 2026
Type: article
Abstract: Soil moisture and vegetation water content play an important role in studies related to vegetation, drought, and climate change. However, estimating soil moisture still represents a significant challenge, especially in semi-arid regions. In this context, the present study aimed to assess soil moisture in the Angónia district, Tete province, through the integration of the Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST). For this purpose, Landsat 8 satellite images were used to calculate the Soil Moisture Index (SMI), enabling a spatial analysis of soil moisture in the study area. The results indicated a strong relationship between NDVI, LST, and soil moisture. Most of the analyzed area presented moderate moisture levels, characteristic of environments with intermediate vegetation cover and relatively balanced climatic conditions. A significant negative correlation was also observed between LST and soil moisture, while NDVI showed a positive correlation with this variable. The findings demonstrate that the integration of NDVI and LST data can contribute to improving the accuracy of soil moisture estimation, which is particularly relevant in the context of increasing global water scarcity and climate change. The main contribution of this study lies in the application of GIS techniques for soil moisture estimation in a semi-arid region, providing important support for agricultural planning, water resource management, and drought monitoring in the region. Keywords: Soil moisture estimation; LST; NDVI; Spatial analysis; Tete, Mozambique.
Source: International Journal Semiarid
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7166306535