Open remote sensing data in digital soil organic carbon mapping: a review
This review focuses on digital soil organic carbon (SOC) mapping at regional or national
scales in spatial resolutions up to 1 km using open data remote sensing sources …
scales in spatial resolutions up to 1 km using open data remote sensing sources …
Soil organic carbon (SOC) prediction in Australian sugarcane fields using Vis–NIR spectroscopy with different model setting approaches
To maintain profitability in sugarcane areas of Australia, soil nutrients need to be applied to
replace losses to biomass production. For example, nitrogen fertiliser requires consideration …
replace losses to biomass production. For example, nitrogen fertiliser requires consideration …
Estimating soil properties distribution at a restored wetland using electromagnetic imaging and limited soil core samples
Electromagnetic imaging (EMI) provides an efficient approach for characterizing variations in
soil physicochemical properties at a high spatial resolution. While EMI has been widely used …
soil physicochemical properties at a high spatial resolution. While EMI has been widely used …
RGB Imaging as a Tool for Remote Sensing of Characteristics of Terrestrial Plants: A Review
A Kior, L Yudina, Y Zolin, V Sukhov, E Sukhova - Plants, 2024 - mdpi.com
Approaches for remote sensing can be used to estimate the influence of changes in
environmental conditions on terrestrial plants, providing timely protection of their growth …
environmental conditions on terrestrial plants, providing timely protection of their growth …
Proximal and remote sensor data fusion for 3D imaging of infertile and acidic soil
Soil cation exchange capacity (CEC) and pH affect the condition of soil. To improve soil
capability in sugarcane growing areas, Sugar Research Australia introduced the Six-Easy …
capability in sugarcane growing areas, Sugar Research Australia introduced the Six-Easy …
Predicting soil depth in a humid tropical watershed: A comparative analysis of best-fit regression and geospatial models
As the climate changes, water scarcity is becoming a major global concern. The accurate
prediction of soil depth is critical for hydrological modeling under different climate change …
prediction of soil depth is critical for hydrological modeling under different climate change …
[HTML][HTML] Developing Vis–NIR libraries to predict cation exchange capacity (CEC) and pH in Australian sugarcane soil
In sugarcane growing areas of Queensland Australia, management of soil condition requires
information about soil chemical properties (ie, cation exchange capacity [CEC], and pH) …
information about soil chemical properties (ie, cation exchange capacity [CEC], and pH) …
Synergistic use of proximally sensed and time series remotely sensed imagery to map soil sodicity
Soil sodicity can cause crusting in the topsoil which impedes water infiltration, and erosion in
the subsoil owing to instability. These can impose constraints to sugarcane growth in the …
the subsoil owing to instability. These can impose constraints to sugarcane growth in the …
Soil organic carbon prediction by multi-digital data fusion for nitrogen management in a sugarcane field
In the sugarcane industry, the SIX EASY STEPS nutrient management guidelines were
developed to recommend nitrogen (N) fertiliser rates based on soil organic carbon (SOC) …
developed to recommend nitrogen (N) fertiliser rates based on soil organic carbon (SOC) …
Mapping cation exchange capacity and exchangeable potassium using proximal soil sensing data at the multiple-field scale
Cation exchange capacity (CEC–cmol (+) kg− 1) is the capacity of a soil to hold
exchangeable cations, one of which is exchangeable potassium (K). The data from both …
exchangeable cations, one of which is exchangeable potassium (K). The data from both …