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...

To assess the potential volume of a glacial lake outburst flood (GLOF) more precisely than in previous studies, we analyze ground survey data and remote-sensing digital elevation models (DEMs) around glacial lakes in the Lunana region, Bhutan. Based on a DEM generated from differential GPS ground surveys, we first evaluate the relative accuracies of DEMs produced by the Advanced Spaceborne Ther...

Abstract. In 2016, the first processing of semi-global digital surface models (DSMs) utilizing all archives stereo imageries derived from Panchromatic Remote sensing Instrument for Stereo Mapping (PRISM) onboard Advanced Land Observing Satellite (ALOS) was successfully completed. The dataset freely released to public in 30 m grid spacing as ‘ALOS World 3D - 30m (AW3D30)’, which generated its or...

This article presents multi-source remote sensing measurements to quantify the water impoundment and regulation of Zhikong Reservoir (ZKR) Pangduo (PDR), together with estimation glacier mass balance explore whether increased meltwater supply can buffer influences reservoir some degree in Tibetan highland catchment. The ZKR PDR are two reservoirs constructed on upper Lhasa River that originate ...

Compared with the traditional lumped hydrological models, distributed hydrological model, considering the effects of the uneven spatial distribution of watershed land surface on the hydrological cycle, has the characteristic of physical mechanism. Seeing from overall structure, there are two types of distributed hydrological model, which are runoff and convergence. The establishment of converge...

BACKGROUND With myriad geospatial datasets now available for terrain information extraction and particularly streamline demarcation, there arises questions regarding the scale, accuracy and sensitivity of the initial dataset from which these aspects are derived, as they influence all other parameters computed subsequently. In this study, digital elevation models (DEM) derived from Advanced Spac...

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...

Climate change is a factor that largely contributes to the increase of forest areas affected by natural damages. Therefore, the development of methodologies for forest monitoring and rapid assessment of affected areas is required. Space-borne synthetic aperture radar (SAR) imagery with high resolution is now available for large-scale forest mapping and forest monitoring applications. However, a...

The aerodynamic roughness is one of the major parameters in describing the turbulent exchange process between terrestrial and atmosphere. Remote Sensing is recognized as an effective way to inverse this parameter at the regional scale. However, in the long time the inversion method is either dependent on the lookup table for different land covers or the Normalized Difference Vegetation Index (N...