Abstract
We discuss our experience in application of the normalized difference vegetation index (NDVI), which we use as a basis for proposing methods for automated recognition, classification, and assessment of the condition of land utilized for different agricultural purposes (agriculture, pasture, peat soils, water bodies, etc.), with visualization of the results as color-coded raster maps. The objective is realized utilizing the specialized ERDAS Imagine software, using multispectral Ikonos satellite data (1.2 m resolution), based on standardization against 84 reference areas from the Polesskaja experimental station. The results were tested on landscape analogs.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
