Evaluation of the potential of MODIS satellite data to predict vegetation phenology in different biomes: An investigation using ground-based NDVI measurements - Hmimina, G.; Dufrêne, E.; Pontailler, J.-Y.; Delpierre, N.; Aubinet, M.; Caquet, B.; de Grandcourt, A.; Burban, B.; Flechard, C.; Granier, A.; Gross, P.; Heinesch, B.; et al. (Remote sensing of environment, 2013)
Keywords: Agricultural sciences; Animal, plant and microbial ecology; Applied geophysics; autumn; Biological and medical sciences; canopy; climate; Crops; Deciduous forests; Earth sciences; Earth, ocean, space; ecosystems; Evergreen forests; Exact sciences and technology; Fundamental and applied biological sciences. Psychology; General aspects. Techniques; Ground-based NDVI; Internal geophysics; leaves; Life Sciences; moderate resolution imaging spectroradiometer; MODIS; monitoring; Phenology; prediction; radiometry; remote sensing; residual effects; savannas; screening; spring; Teledetection and vegetation maps; temporal variation; time series analysis; tropical rain forests; vegetation cover; weather; Evergreen forests; Phenology; Ground-based NDVI; Crops; MODIS; Deciduous forests; time series analysis; Vegetation index; Noise reduction; vegetation; evaluation; Field; Biome; climate variations; Ground based measurement; Space remote sensing; Prediction; Adaptive response; satellite measurements; contamination; quality; techniques; Timing; seasonal variations; Comparative study