Vegetation water content estimation for corn and soybeans using spectral indices derived from MODIS near- and short-wave infrared bands

Abstract

The estimation of vegetation water content (VWC) over a crop-growing period was performed using the near-infrared (NIR) and short-wave infrared (SWIR) bands of the Terra-MODerate Resolution Imaging Spectroradiometer (Terra-MODIS). The study was conducted in Iowa, USA as part of the Soil Moisture Experiments 2002 (SMEX02). Due to the moderate resolution of MODIS data, the removal of mixed pixels was important in order to meet accuracy estimation requirements of potential applications. MODIS-derived reflectance for the NIR and SWIR bands over corn and soybeans fields was validated using atmospherically corrected Landsat Thematic Mapper (TM)/Enhanced Thematic Mapper (ETM) data. All possible combinations of the 7 MODIS bands were used to construct VIs. The performance of each combination was evaluated by computing their correlations with corn VWC. The Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Water Index (NDWI) were found to be the best candidates. In this study, it was observed that the MODIS SWIR-based VI for corn saturated at a later date than NDVI. A similar late saturation was observed for soybeans with a lag of about 10 days. Linear relationships between the SWIR-based VI and VWC were developed using the MODIS data and ground measured VWC. MODIS-derived Normalized Difference Water Indices (NDWI) using SWIR (1640 nm) or SWIR (2130 nm), namely NDWI 1640 or NDWI 2130, all showed potential in estimating VWC. Additional testing of this approach could result in a robust technique for estimating VWC for specific crops.