It is well known that multi-temporal series of SAR data are able to provide interesting clues about temporal evolution of some land covers. In this work, a per-segment approach based on the use of ancillary Geographic Information System data is proposed. Two test cases show the effectiveness of the technique and its usefulness for quickly detecting changes in urban areas and discriminating to s...

The state (type, structure and biochemical content or vitality) of natural and agroecosystems are influenced by several factors including available nutrients, soil types, and topographic and climatic factors. In other words, foliar biochemicals (e.g. chlorophyll, Nitrogen) for example may provide information on the factors controlling growth and productivity of ecosystems. However, the quantifi...

Parcel-based classification of high-resolution images is one of the most reliable alternatives for the automatic updating of land cover/land use geospatial databases. Each parcel can be characterized by means of a set of features extracted from the image, its outline, the contextual relationships with its neighbours, etc. Qualitative information about the former land use contained in the geospa...

The situation of cropland use in China is very complicated. In many areas, the cropland is used in multi-cropped ways. There is a need for better information on the area and distribution of cropland using in different cropping rotation systems, but it is not easy to get it in traditional census ways. This paper focuses on the methodology of crop rotations detection in China using multitemporal ...

Remote sensing has proved its usefulness for the crisis mitigation through situation report and damage assessment. Visual analysis of satellite images is conducted by analysts, however automatic or decision aid method are desired. We propose a semi-automatic damage assessment method based on a pair of very high spatial resolution (VHR) images and some ancillary data. It is applied to two disast...

The classification of land cover is one of the major applications of remotely sensed data. However, the distinction of different classes is often challenging because of spectral similarities. Numerous studies are published describing advanced methods for separation of spectral similar land-cover classes from the remote sensed images. But there are still limitations in terms of classification ac...

This research evaluates the utility and performance of a machine learning decision tree classification technique – random forests – for forest classification using remote sensing and ancillary spatial data, across a large area of heterogeneous forest ecosystems in Victoria, Australia. Random forest classification models for forest extent, type and height were trained using 786 2 km x 2 km aeria...

Brain death is clinically diagnosed by verification of the absence of brain stem reflexes, motor responses, and the ventilatory drive.1 In some circumstances, ancillary tests are necessary to confirm the diagnosis of brain death, especially when there is uncertainty about the reliability of parts of the neurologic examination or when an apnea test cannot be performed. Ancillary tests are also u...