Affiliation:
1. Islamic Azad University
2. Isfahan Agricultural and Natural Resources Research and Education Center, AREEO
Abstract
Abstract
Soil quality (SQ) modeling and mapping is a leading research field aiming to provide reproducible and cost-effective yet accurate SQ predictions at the landscape level. This endeavor was conducted in a complex watershed in northern Iran. We classified the region into spectrally and topographically homogenous land units (average area of 48 ± 23 ha) using object-based segmentation analysis. Following the physicochemical analysis of soil samples from 98 stations, the Nemoro soil quality index (SQIn) was produced using the minimum dataset procedure and a non-linear sigmoid scoring function. SQIn values averaged 0.21 ± 0.06 and differed statistically between major land uses. To predict and map SQIn for each land unit, the best-performing regression model (F(3, 84) = 45.57, p = 0.00, R2 = 0.617) was built based on the positive contribution of the mean Landsat 8-OLI band-5, and negative influence of land surface temperature retrieved from Landsat 8-OLI band 10 and surface slope (T-test p-values < 0.01). Results showed that dense-canopy woodlands located in low-slope land units exhibit higher SQIn while regions characterized by either low-vegetation or steep-sloped land units had SQ deficits. This study provides insights into SQ prediction and mapping across spatially complex large-scale landscapes.
Publisher
Research Square Platform LLC
Reference57 articles.
1. ASTER global digital elevation model (GDEM) and ASTER global water body dataset (ASTWBD);Abrams M;Remote Sensing,2020
2. Land use/land cover change effect on soil erosion and sediment delivery in the Winike watershed, Omo Gibe Basin, Ethiopia;Aneseyee AB;Science of the Total Environment,2020
3. Soil Order-Land Use Index Using Field-Satellite Spectroradiometry in the Ecuadorian Andean Territory for Modeling Soil Quality;Arciniegas-Ortega S;Sustainability,2022
4. Evaluating the spatial effectiveness of alternative urban growth scenarios in protecting cropland resources: A case of mixed agricultural-urbanized landscape in central Iran;Asgarian A;Sustainable cities and society,2018
5. Atkinson, A. C., Riani, M., & Corbellini, A. (2021). The box–cox transformation: Review and extensions.