The aim of this paper is to propose the use of a dynamic plot model to improve landcover classification on a sequence of images. This new approach consists in representing the plot as a dynamic system and in modeling its evolution (knowledge about crop cycles) using the timed automata formalism. In order to refine the results obtained by a traditional classifier, the observations given by a pre...

Multi-Resolution Land Characterization 2000 (MRLC 2000) is a second-generation federal consortium to create an updated pool of nation-wide Landsat 7 imagery, and derive a second-generation National Land Cover Database (NLCD 2000). This multi-layer, multisource database will include a suite of 30-meter resolution data that will serve as standardized ingredients for the production of land cover –...

Spatiotemporal fusion (STF) is considered a feasible and cost-effective way to deal with the trade-off between spatial temporal resolution of satellite sensors, generate images high resolutions. This achieved by fusing two types images, i.e., fine but rough resolution, resolution. Numerous STF methods have been proposed, however, it still challenge predict both abrupt landcover change, phenolog...

Quantitative reconstructions of past vegetation cover commonly require pollen productivity estimates (PPEs). PPEs are calibrated in extensive and rather cumbersome surface-sample studies, and are so far only available for selected regions. Moreover, it may be questioned whether present-day pollen-landcover relationships are valid for palaeo-situations. We here introduce the ROPES approach that ...