Monitoring changes in forest height, biomass and carbon stock is important for understanding the drivers of forest change, clarifying the geography and magnitude of the fluxes of the global carbon budget and for providing input data to REDD+. The objective of this study was to investigate the feasibility of covering these monitoring needs using InSAR DEM changes over time and associated estimat...

Accurate maps of surface water are essential for many environmental applications. Surface water maps can be generated by combining measurements from multiple sources. Precise estimation of surface water using satellite imagery remains a challenging task due to the sensor limitations, complex land cover, topography, and atmospheric conditions. As a complementary dataset, in the case of hilly lan...

The first mission using space-borne single-pass-interferometry was launched in February this year – the Shuttle Radar Topography Mission (SRTM). The goal of this mission has been to survey the Earth’s surface and generating a homogeneous and dense elevation data set of the entire world. Antennas with two different wavelength were used. One of the hardware components was the German / Italian Syn...

Huge amounts of geospatial rasters, such as remotely sensed imagery and environmental modeling output, are being generated with increasingly finer spatial, temporal, spectral and thematic resolutions. Given that CPUs on modern computer systems are three orders of magnitude faster than disk I/O speed and two orders of magnitude faster than network bandwidth, it becomes more and more beneficial t...

DEM-based topographic corrections on Landsat-7 ETM+ imagery from rugged terrain, as an effective processing techniques to improve the accuracy of Land Use/Land Cover (LULC) classification as well as land surface parameter retrievals with remotely sensed data, has been frequently reported in the literature. However, few studies have investigated the exact effects of DEM with different resolution...

Abstract This paper presents a robust approach using artificial neural networks in the form of a Self Organizing Map (SOM) as a semi-automatic method for analysis and identification of morphometric features in two completely different environments, the Man and Biosphere Reserve “Eastern Carpathians” (Central Europe) in a complex mountainous humid area and Yardangs in Lut Desert, Iran, a hyper...