Relationships between Moderate Resolution Imaging Spectroradiometer water indexes and tower flux data in an old growth conifer forest

摘要: Methods to accurately estimate the biophysical and biochemical properties of vegetation are a major research objective remote sensing. We assess capability MODIS satellite sensor measure canopy water content evaluate its relationship ecosystem exchange (NEE) for an evergreen forest canopy. A time-series three indexes were derived from data, Normalized Difference Vegetation Index (NDVI), Water (NDWI), Infrared (NDII), which compared physically based estimates equivalent thickness (EWT) airborne AVIRIS hyperspectral instrument over temperate conifer in southwestern Washington. After cross-calibration imagery, showed good agreement with EWT, while NDVI was insensitive variation. Three years NEE data eddy covariance measurements at Wind River AmeriFlux tower time series indexes, show seasonal has similar trajectory NEE. In contrast, did not yield This study demonstrates potential use spatial temporal estimation regional global scales appropriate ecosystems.