A Meta-Analysis of Remote Sensing Technologies and Methodologies for Crop Characterization

Climate change and population growth risk the world’s food supply. Annual crop yield production is one of most crucial components global Moreover, COVID-19 pandemic has stressed security, production, supply chains. Using biomass estimation as a reliable indicator, space-based monitoring crops can assist in mitigating these stresses by providing product information. Research been conducted to estimate biophysical parameters destructive non-destructive approaches. In particular, researchers have investigated potential various analytical methods determine range using remote sensing data methods. To this end, they diverse sources Earth observations, including radar optical images with spatial, spectral, temporal resolutions. This paper reviews analyzes publications from past 30 years identify trends research tools. analysis accomplished through systematic review 277 papers documents methods, challenges, opportunities frequently cited scientific literature. The results revealed that field had increased dramatically over study period. addition, analyses confirmed normalized difference vegetation index (NDVI) studied parameters. showed wheat corn were crops, globally.