Title :
Validation of the MODIS NDVI Products in Different Land-Use Types Using In Situ Measurements in the Heihe River Basin
Author :
Liying Geng ; Mingguo Ma ; Wenping Yu ; Xufeng Wang ; Shuzhen Jia
Author_Institution :
Heihe Remote Sensing Exp. Res. Station, Cold & Arid Regions Environ. & Eng. Res. Inst., Lanzhou, China
Abstract :
An evaluation of the Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) products is essential for their use in scientific studies. We evaluated the accuracy of MODIS NDVI data that were derived from the MOD09GQ and MYD09GQ products using ground-based measurements from nearly one complete growing season (from May 2 to September 28, 2013) for six land-use types in the upper and middle reaches of the Heihe River Basin. The spatial heterogeneity and scale effects of the NDVI were analyzed using TM8 images of the observation sites. A comparison of the field measurements showed that the MODIS NDVI data were correlated with the in situ data and had an R2 of 0.60-0.98. The semivariance analysis results showed that scale effects were common for MODIS data at a pixel resolution of 250 m for corn, potato, rape, and barley crops. Upscaling the in situ NDVI data using high spatial resolution satellite images can improve the validation accuracy of pixel-level NDVI. The results from this letter provide ground-based NDVI data that are required for the calibration and validation of satellite observations and products.
Keywords :
land use; radiometry; rivers; vegetation; AD 2013 05 02 to 09 28; Heihe River basin middle reach; Heihe River basin upper reach; MOD09GQ product; MODIS NDVI data accuracy; MODIS NDVI product validation; MYD09GQ product; Moderate Resolution Imaging Spectroradiometer; NDVI scale effects; TM8 images; barley crop; complete growing season; corn crop; field measurements; ground-based NDVI data; ground-based measurements; high spatial resolution satellite images; in situ NDVI data upscaling; in situ data; in situ measurements; land-use types; normalized difference vegetation index product; pixel resolution; pixel-level NDVI validation accuracy; potato crop; rape crop; satellite observation calibration; satellite observation validation; satellite product calibration; satellite product validation; scientific studies; semivariance analysis results; spatial heterogeneity; Agriculture; Correlation; MODIS; Remote sensing; Satellites; Spatial resolution; Vegetation mapping; Ground-based normalized difference vegetation index (NDVI); Moderate Resolution Imaging Spectroradiometer (MODIS); remote sensing; validation; vegetation;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2014.2314134