Fusion of Soil and Remote Sensing Data to Model Soil Properties

摘要: Abstract Grand global challenges of our time, such as food security and soil security, cannot be met without up-to-date, high-quality, high-resolution, spatiotemporal, continuous environmental data that characterize ecosystems. At local regional scales, accurate precise assessment is critical for management, health, sustainability. This article presents integration pathways fusing lab- field-based measurements, proximal remote sensor data, covariates, and/or methods within the framework Meta Soil Model which poised to extend contemporary applications. The STEP-AWBH model allows quantify soil-environmental covariates ( S : soil, T topography, E ecology, P parent material, A atmosphere, W water, B biota, H human factors) numerous can sensed. We present an in-depth overview technologies are used in realm digital assessment. Specific attention given fusion process (1) proximal, (2) proximal/remote, (3) sensors directly sense or predict properties. highlight promises perils sensor-derived proxies allow inferences on properties their change. From review it evident there no single method fits all In many studies fusion/integration enhance capabilities assess specific critically contrast benefits constraints sensing, mash into complex assessments.