Using Red Edge spectral band and the derived index CCCI, were are able to get early warning signs for water infiltration issue across corn field. CCCI index can often detect stress early than other indices due to the unique spectral signature and allows the user to intervene early enough to recover the crops for better yields
Use case: Water infiltration mapping
While nutrients and irrigation are major factors for crop health and development, in some cases, applying more ferlisers or irrigating more often won't improve the crop performance due to soil structure constraints. Soil variation is Australian, is one of the key issues affecting productivity across farms and more specifically, water infiltration.
Infiltration is the process by which water on the ground surface enters the soil. The Infiltration rate of soil is a measure of the rate at which soil is able to absorb rainfall or irrigation. The amount and rate of water infiltration is primarily dependent on soil hydraulic properties, including soil water retention and hydraulic conductivity. When a soil is not able to absorb water, reduced growth rates and major yield penalties might be accrued across the paddock.
Spatial distribution of soil moisture is the key factor determining infiltration patterns across the field.
This case study demonstrates to simulate the spatial heterogeneity of infiltration in a drainage basin using remote sensing technology with ground-truthing observations.
The images above show a corn field from Southern-NSW in two consecutive seasons. The image on the left shows a previous corn season (2017) yield map where the red areas were affected by water infiltration resulted with very low yields of 3850 Kg/Ha dry yield as opposed to an average of 17200 Kg/ha for the entire field. On the right, a map of Red Edge driven index called Canopy Chlorophyll Content or CCCI from the following season (January 2019) where the effects of water infiltration can be clearly seen and enabled to farmer to intervene to prevent or reduce yield loss.
Farmers and agronomists can use Flurosense remote sensing indices such as NDVI or CCCI to guide their scouting efforts and applications after a soil anomaly is detected. The above CCCI map taken from FluroSense platform was used in conjunction with grid Soil Test Pro results and the previous seasons yield map to identify site-specific scouting points. This enabled the farmer to identify the soil constraint to be water infiltration and to intervene with the application of soil wetting agents and liquid gypsum to improve water infiltration and to minimise potential yield loss.
Flurosat zoning tool can divide the field into actionable management zones. It can be used to quantify the severity of a certain problem, address the farmer’s focus and efforts to site-specific management zones to save resources, time and to improve yields.