Work

Multi-temporal catchment and wetland scale soil moisture and vegetation analysis in Shashe, Tugwi and Zibagwe sub-catchments of Zimbabwe

Year: 2025

Type: article

Abstract: We utilized Sentinel-1 Synthetic Aperture Radar (SAR) surface soil moisture, Sentinel-2 L1C-derived Enhanced Vegetation Index (EVI), and Soil Moisture Active Passive (SMAP) surface and root zone soil moisture data to assess soil moisture dynamics and vegetation health in Shashe, Tugwi and Zibagwe sub-catchments. Findings show that both maximum and minimum soil moisture values over different land covers experienced a declining trend from 2017 to 2020, followed by a slight increase in 2021, attributed to higher rainfall during that period. Grasses (Driefontein − r = 0.76; p = 0.04; Intunjambili − r = 0.62; p = 0.00) and crops (Driefontein − r = 0.77; p = 0.00; Intunjambili − r = 0.81; p = 0.00) showed better correlation with Sentinel-1 surface soil moisture whilst trees correlated better with SMAP root zone soil moisture (Driefontein − r = 0.83; p = 0.01; Intunjambili − r = 0.78; p = 0.00). Sentinel-1 data can be effectively utilized to map wetland areas at the catchment scale, with vegetation health serving as a valuable indicator of wetland conditions.

Source: Geocarto International

DOI: 10.1080/10106049.2025.2507922

Authors: Oshneck Mupepi, Thomas Marambanyika, Mark Makomborero Matsa, Timothy Dube

Institutions: Midlands State University, University of the Western Cape

Language: English

Topic: Soil Moisture and Remote Sensing

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Life on land, Zero hunger, Clean water and sanitation, Climate action

Open Access status: gold

Estimated APC paid: $2,390