Cotton yield estimation based on NOAA/AVHRR produced NDVI

摘要: Abstract The high temporal resolution of the NOAA/AVHRR satellite data can provide an efficient and consistent way for biomass yield monitoring assessment. reflected radiation provides indication type density canopy. A combination spectral bands results in vegetation indices, which are based on signatures account difference response to visible near infrared channels. widely used index is Normalized Difference Vegetation Index (NDVI), normalized (red) condition, distribution, structure development through phenological stages affect relation between NDVI. primary objective this study consists examining feasibility applying a regression model cotton by using images six areas covered with have been examined period three years. show that variability from year be monitored use