Work

Enhancing Soil Texture Mapping and Drought Stress Assessment Through Dual-Phase Remote Sensing in Typical Black Soil Regions

Year: 2025

Type: article

Abstract: The accurate mapping of soil texture, a key determinant of soil’s hydrological and nutritional behavior, is essential for agricultural drought assessment, yet the application of multi-temporal satellite data for this purpose remains largely unexplored. In this study, we first identified the optimal prediction period by evaluating the performance of single-date imagery (satellite images captured on individual observation dates). Subsequently, dual-phase imagery (DPI) was developed to increase mapping accuracy. Finally, these refined predictions quantified soil texture’s response to drought and its corresponding thresholds. Results demonstrated that: (1) the bare soil period in April provided peak prediction accuracy for all texture fractions (Sand: R2 = 0.617, RMSE = 10.21%; Silt: R2 = 0.606, RMSE = 8.648%; Clay: R2 = 0.604, RMSE = 1.945%); (2) Significant accuracy gain from DPI using April-August imagery fusion (Sand: R2 = 0.677, RMSE = 9.386%; Silt: R2 = 0.660, RMSE = 8.034%; Clay: R2 = 0.658, RMSE = 1.807%); (3) sand content was the most critical factor influencing crop drought stress, with a threshold of 31%. By integrating multi-temporal satellite observations with quantitative drought evaluation for high-resolution soil texture mapping and precision agricultural management in Northeast China’s black soil region.

Source: Sustainability

DOI: 10.3390/su172310793

Authors: Wenqi Zhang, Wenzhu Dou, Liren Gao, Xue Li, Chong Luo

Institutions: Jilin Agricultural University, Harbin Normal University, Northeast Agricultural University, Chinese Academy of Sciences, Northeast Institute of Geography and Agroecology

Language: English

Topic: Soil Geostatistics and Mapping

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Zero hunger, Life on land

Open Access status: gold

Estimated APC paid: $2,896