VEGETATION INDICES FOR IRRIGATED CORN MONITORING
Alvino, Francisco C. G.; Aleman, Catariny C.; Filgueiras, Roberto; Althoff, Daniel; da Cunha, Fernando F.
DATA DE PUBLICAÇÃO
ABSTRACT Monitoring of large agricultural lands is often hampered by data collection logistics at field level. To solve such a problem, remote sensing techniques have been used to estimate vegetation indices, which can subsidize crop management decision-making. Therefore, this study aimed to select vegetation indices to detect variability in irrigated corn crops. Data were collected in São Desidério, Bahia State (Brazil), using an OLI sensor (Operational Land Imager) embedded to a Landsat-8 satellite platform. Five corn growing plots under central pivot irrigation were assessed. The following vegetation indices were tested: NDVI (Normalized Difference Vegetation Index), EVI (Enhanced Vegetation Index), SAVI (Soil Adjusted Vegetation Index), GNDVI (Green Normalized Difference Vegetation Index), SR (Simple Ratio), NDWI (Normalized Difference Water Index), and MSI (Moisture Stress Index). Among the tested indices, SR was more sensitive to high corn biomass, while GNDVI, NDVI, EVI, and SAVI were more sensitive to low values. Overall, all indices were found to be concordant with each other, with high correlations among them. Despite this, the use of a set of these indices is advisable since some respond better to certain peculiarities than others.
- Seasonal dynamics of vegetation indices as a criterion for grouping grassland typologies
- Temporal profiles of vegetation indices for characterizing grazing intensity on natural grasslands in Pampa biome
- SURFACE ENERGY BALANCE SYSTEM (SEBS) AND SATELLITE DATA FOR MONITORING WATER CONSUMPTION OF IRRIGATED SUGARCANE
- Validation of white oat yield estimation models using vegetation indices
- IDENTIFICATION OF DESERTIFICATION- SENSITIVE AREAS IN THE BRAZILIAN NORTHEAST THROUGH VEGETATION INDICES