Applicability of Multispectral Images to Detect Soil Organic Carbon Content in Land Suitability Assessment: A Case of a Sugarcane Plantation

Soil organic carbon is important for sugarcane production as it plays a significant role in the development of soil aggregates and improvement any agricultural soil, hence increasing health. Increasing matter encourages aggregation slows rate breakdown. act nuclei stabilization with time. It improves attributes by content enhances physical properties that favor water infiltration retention. However, traditional methods SOC determination like laboratory analyses are expensive time-consuming. The objective study was to assess applicability multispectral images determine surface soil. research adopted two means sugarcane. Under first method, lands were selected according productivity area, namely: low (35-54 t ha-1), medium (55-79 high (80-100 ha-1) productivity. samples collected up 15cm depth. Walkley Black Method used laboratory. Simultaneously, each land obtained using drone platform. Multispectral then calculate Normalized Difference Vegetation Index (NDVI), Bare (BSI), Modified Secondary Adjusted (MSAVI2). These indices predict SOC. outcome compared from analysis results. results showed (SOC) varied between 2.72 3.63% mean highest lowest respectively. regression observed moderate correlation BSI values (0.4828). Weak correlations MSAVI2 (0.0269) NDVI (0.0858). Future should focus on improving these sample quantity.