The objective of this study is to generate a flood hazard map based on geomorphologic approach employing Shuttle Radar Topographic Mission (SRTM) DEM and satellite image data (ASTER and LANDSAT). Supervised classification of satellite images is implemented to characterize land cover types. Moreover, the Modified Normalized Difference Water Index (MNDWI) is undertaken to identify moist surface o...

Landslide identification is important for understanding their conditioning factors, and constructing susceptibility, risk, vulnerability maps. In remote sensing this can be accomplished manually or through classifiers. This study compares three image classifiers (Maximum Likelihood, Random Forest, Support Vector Machines (SVM)) used in identifying landslides Itaóca (São Paulo, Brazil). Two data...

Aiming at the geomorphological and geometrical features of basin, a recognition approach combined with landform classification discriminant analysis is presented. First, k-means algorithm applied to digital elevation model data. The basic types landforms elevation, slope, relief amplitude are clustered, regions plains, mountains, hills have been separated. Focusing on plain its neighboring regi...

Indonesian peatlands are one of the largest near-surface pools of terrestrial organic carbon. Persistent logging, drainage and recurrent fires lead to huge emission of carbon each year. Since tropical peatlands are highly inaccessible, few measurements on peat depth and forest biomass are available. We assessed the applicability of quality filtered ICESat/GLAS (a spaceborne LiDAR system) data t...

As one of the costliest and most frequent natural disasters, flood is a major threat to human lives property. Flood forecasting, simulation, monitoring plays an important role in disaster relief mitigation. With support from JPSS (Joint Polar Satellite System) Proving Ground Risk Reduction (PGRR) Program, VIIRS (Visible Infrared Imaging Radiometer Suite) global 375-m products near real-time, da...

Flood is one of the natural disaster known to be part earth biophysical processes, which its occurrence can devastating; due mostly anthropogenic activities and climatological factors. The aim research identify map extent at impact flood intense rainfall rise in water study area using geospatial techniques specific objectives are carry out terrain analysis generate indicator maps area. analyzed...

This general statement is also if not in particular valid for acquiring and processing Digital Elevation Models. On one hand, important developments like radar-interferometric sensors (e.g., the Shuttle Radar Topographic Mission, SRTM) or laser scanners (e.g., the operational systems TopoSys, TopScan or ALTM) have become available to the market. On the other hand, important tasks along the data...

With the launch of the recent high-resolution Synthetic Aperture Radar (SAR) satellite missions, e.g., TerraSAR-X, RadarSAT-2, and CosmoSkymed, the technique of radargrammetry motivates interest again to potentially improve upon the level of detail and accuracy of Digital Elevation Models (DEM) from a global coverage perspective as an alternative to data derived from Interferometric SAR (IFSAR)...

Although they correspond to an important fraction of the total area of mountain glaciers (33000 km out of 546000 km), Himalayan glaciers and their mass balance are poorly sampled. For example, between 1977 and 1999, the average area surveyed each year on the field was 6.8 km only. No direct mass balance measurement is available after 1999. To contribute to fill this gap, we use remote sensing d...