In the last few years, there has been a renewed interest in data fusion techniques, and, particular, pansharpening due to paradigm shift from model-based data-driven approaches, supported by recent advances deep learning. Although plethora of convolutional neural networks (CNN) for have devised, some fundamental issues still wait answers. Among these, cross-scale and cross-datasets generalizati...

Achieving coastal and shallow-water bathymetry is essential for understanding the marine environment management. Bathymetric data in shallow sea areas can currently be obtained using SDB (satellite-derived bathymetry) with multispectral satellites based on depth inversion models. In situ bathymetric are crucial validating empirical models but limited remote unapproachable areas. this paper, ins...

Spatial and spectral information are essential sources of in remote sensing applications, the fusion panchromatic multispectral images effectively combines advantages both. Due to existence two main classes methods—component substitution (CS) multi-resolution analysis (MRA), which have different advantages—mixed approaches possible. This paper proposes a algorithm that generalized intensity–hue...

BACKGROUND The reliable monitoring, reporting and verification (MRV) of carbon emissions and removals from the forest sector is an important part of the efforts on reducing emissions from deforestation and forest degradation (REDD+). Forest-dependent local communities are engaged to contribute to MRV through community-based monitoring systems. The efficiency of such monitoring systems could be ...

For effective management of refugee camps or camps for internally displaced persons (IDPs) relief organizations need up-to-date information on the camp situation. In cases where detailed field assessments are not available, Earth observation (EO) data can provide important information to get a better overview about the general situation on the ground. In this study, different approaches for dwe...

High precision geometric rectification of High Resolution Satellite Imagery (HRSI) is the basis of digital mapping and Three-Dimensional (3D) modeling. Taking advantage of line features as basic geometric control conditions instead of control points, the Line-Based Transformation Model (LBTM) provides a practical and efficient way of image rectification. It is competent to build the mathematica...

Controlling dengue virus transmission mainly involves integrated vector management. Risk maps at appropriate scales can provide valuable information for assessing entomological risk levels. Here, results from a spatio-temporal model of dwellings potentially harboring Aedes aegypti larvae from 2009 to 2011 in Tartane (Martinique, French Antilles) using high spatial resolution remote-sensing envi...