Mapping and Evaluation of NDVI Trends from Synthetic Time Series Obtained by Blending Landsat and MODIS Data around a Coalfield on the Loess Plateau

摘要: The increasingly intensive and extensive coal mining activities on the Loess Plateau pose a threat to fragile local ecosystems. Quantifying effects of environmental conditions is great interest for restoring managing ecosystems resources. This paper generates dense NDVI (Normalized Difference Vegetation Index) time series between 2000 2011 at spatial resolution 30 m by blending Landsat MODIS (Moderate Resolution Imaging Spectroradiometer) data using Spatial Temporal Adaptive Reflectance Fusion Model (STARFM) further evaluates its capability mapping vegetation trends around typical coalfield Loss Plateau. Synthetic images were generated (1) STARFM-generated NIR (near infrared) red band reflectance (scheme 1) (2) directly as inputs STARFM 2). By comparing synthetic with corresponding NDVI, we found that scheme 2 consistently better results (0.70 < R2 0.76) than 1 (0.56 0.70) in this study area. Trend analysis was then performed annual maximum (NDVImax) series. accuracy these evaluated those from series, it concluded both synthetic/MODIS NDVImax (2000–2011) highly consistent. Compared are able capture fine scale changes. could be used quantify vegetation, but test areas should selected caution, derived may significantly different some areas.