Discriminating Land Use and Land Cover Classes in Brazil Based on the Annual PROBA-V 100 m Time Series

Crop Area Mapping Using 100-m Proba-V Time Series

Yetkin Özüm Durgun 1,2,*, Anne Gobin 1, Ruben Van De Kerchove 1 and Bernard Tychon 2 1 Vlaamse Instelling voor Technologisch Onderzoek (VITO), Boeretang 200, B-2400 Mol, Belgium; [email protected] (A.G.); [email protected] (R.V.D.K.) 2 Département Sciences et Gestion de l’Environnement, Université de Liège, Avenue de Longwy 185, 6700 Arlon, Belgium; [email protected] * Corresp...

Use of Intra-annual Satellite Imagery Time-series for Land Cover Characterisation Purpose

Automatic image classification often fails at separating a large number of land cover classes that punctually may present similar spectral reflectances. To improve the classification accuracy in such situations, multi-temporal satellite data has proven to be valuable auxiliary information. In this paper, we present a study exploring the usefulness of intra-annual satellite images timeseries for...

Land-cover and Land-use Mapping

Modeling Land-use and Land-cover Change

Models are used in a variety of fields, including land change science, to better understand the dynamics of systems, to develop hypotheses that can be tested empirically, and to make predictions and/or evaluate scenarios for use in assessment activities. Modeling is an important component of each of the three foci outlined in the science plan of the Land-use and -cover change (LUCC) project (Tu...

Application of Time Series Landsat Images to Examining Land-use/Land-cover Dynamic Change.

A hierarchical-based classification method was designed to develop time series land-use/land-cover datasets from Landsat images between 1977 and 2008 in Lucas do Rio Verde, Mato Grosso, Brazil. A post-classification comparison approach was used to examine land-use/land-cover change trajectories, which emphasis is on the conversions from vegetation or agropasture to impervious surface area, from...