Satellite Remote Sensing Use Case
by Sergej Lugovic
U suradnji s tvrtkom LI:ST Geoinformatika zadnjih par godina razvijamo rješenja za upotrebu satelitskih tehnologija za potrebe poljoprivrede. Niže je naveden primjer jedne parcele. Text je na engleskom jer za sada uglavnom imamo upite s međunarodnog tržišta.
Normalized Difference Vegetation Index (NDVI)
Calculation of the Normalized Difference Vegetation Index (NDVI), which is available on-the-fly, comes first. In addition, NDVI is often used around the world to monitor drought, forecast agricultural production, assist in forecasting fire zones and desert offensive maps. Farming apps, like Crop Monitoring, integrate NDVI to facilitate crop scouting and give precision to fertilizer application and irrigation, among other field treatment activities, at specific growth stages. NDVI is preferable for global vegetation monitoring since it helps to compensate for changes in lighting conditions, surface slope, exposure, and other external factors.
This index defines values from -1.0 to 1.0, basically representing greens, where negative values are mainly formed from clouds, water and snow, and values close to zero are primarily formed from rocks and bare soil. Very small values (0.1 or less) of the NDVI function correspond to empty areas of rocks, sand or snow. Moderate values (from 0.2 to 0.3) represent shrubs and meadows, while large values (from 0.6 to 0.8) indicate temperate and tropical forests.
Parcel Normalized Difference Vegetation Index (NDVI) - (01/20 do 12/20)
Parcel Normalized Difference Moisture Index) (01/20 do 12/20)
Parcel Normalized Difference Water Index (NDWI) - (01/20 do 12/20)
Iron is an indicator for soil fertility and the usability of an area for cultivating crops. Remote sensing is the only suitable tool for surveying large areas at a high temporal and spatial interval, yet a relative high spectral resolution is needed for mapping iron contents with reflectance data.
Parcel FES index - (01/20 do 12/20)