0000000001038555
AUTHOR
L. Gómez Chova
Land cover classification of VHR airborne images for citrus grove identification
Abstract Managing land resources using remote sensing techniques is becoming a common practice. However, data analysis procedures should satisfy the high accuracy levels demanded by users (public or private companies and governments) in order to be extensively used. This paper presents a multi-stage classification scheme to update the citrus Geographical Information System (GIS) of the Comunidad Valenciana region (Spain). Spain is the first citrus fruit producer in Europe and the fourth in the world. In particular, citrus fruits represent 67% of the agricultural production in this region, with a total production of 4.24 million tons (campaign 2006–2007). The citrus GIS inventory, created in…
Gridding artifacts on ENVISAT/MERIS temporal series
Earth observation satellites are a valuable source of data that can be used to better understand the Earth system dynamics. However, analysis of satellite image time series requires an accurate spatial co-registration so that the multi-temporal pixel entities offer a true temporal view of the study area. This implies that all the observations must be mapped to a common system of grid cells (gridding). Two common grids can be defined as a reference: (1) a grid defined by an external dataset in a given coordinate system or (2) a grid defined by one of the images of the time series. The aim of this paper is to study the impact that gridding has on the quality of ENVISAT/MERIS image time series…