Evaluation of the potential of MODIS satellite data to predict vegetation phenology in different biomes: An investigation using ground-based NDVI measurements

• Published in: Remote sensing of environment Vol. 132; pp. 145 - 158
• Main Authors: 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., Longdoz, B., Moureaux, C., Ourcival, J.-M., Rambal, S., Saint André, L., Soudani, K.
• Format: Journal Article
• Language: English
• Published: New York, NY Elsevier Inc 15.05.2013; Elsevier
• Subjects: 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

Vegetation phenology is the study of the timing of seasonal events that are considered to be the result of adaptive responses to climate variations on short and long time scales. In the field of remote sensing of vegetation phenology, phenological metrics are derived from time series of optical data...