Characterising the land surface phenology of Africa using 500 m MODIS EVI

Winter wheat area estimation from MODIS-EVI time series data using the Crop Proportion Phenology Index

Modeling Biomass Production in Seasonal Wetlands Using MODIS NDVI Land Surface Phenology

Plant primary production is a key driver of several ecosystem functions in seasonal marshes, such as water purification and secondary production by wildlife and domestic animals. Knowledge of the spatio-temporal dynamics of biomass production is therefore essential for the management of resources—particularly in seasonal wetlands with variable flooding regimes. We propose a method to estimate s...

Detection of land cover changes using MODIS 250 m data

The Vegetative Cover Conversion (VCC) product is designed to serve as a global alarm for land cover change caused by anthropogenic activities and extreme natural events. MODIS 250 m surface reflectance data availability was limited both spatially and temporally in the first year after launch due to processing system constraints. To address this situation, the VCC algorithms were applied to avai...

Regional Scale Land Cover Characterization using MODIS NDVI 250 m Multi-Temporal Imagery: A Phenology-Based Approach

Currently available land-cover data sets for large geographic regions are produced on an intermittent basis and are often dated. Ideally, annually updated data would be available to support environmental status and trends assessments and ecosystem process modeling. This research examined the potential for vegetation phenology based land-cover classification over the 52,000 km Albemarle-Pamlico ...

Short communication Monitoring vegetation phenology using MODIS

Accurate measurements of regional to global scale vegetation dynamics (phenology) are required to improve models and understanding of inter-annual variability in terrestrial ecosystem carbon exchange and climate–biosphere interactions. Since the mid-1980s, satellite data have been used to study these processes. In this paper, a new methodology to monitor global vegetation phenology from time se...