Indirect Methods of Estimating Leaf Area Index (LAI) in Broadcast-seeded Paddy Rice Fields

摘要

For the monitoring of rice, which is one of the major crops consumed worldwide, remote sensing is becoming popular technology, eliminating time consuming, expensive and complex field surveys. In rice monitoring, Leaf Area Index (LAI) is one of the most important biophysical attributes that characterizes the phenological growth stage, yield and health conditions. In this context, its monitoring with remote sensing tools is of great interest and has been studied extensively. In this work, LAI estimation of paddy rice fields located in northeast Turkey was analyzed using optical and radar sensors, specifically Landsat 8 OLI-derived NDVI, radar polarized backscattering values from TerraSAR-X (HH, VV) and Sentinel-1 (HV, VV).