Results 131 to 140 of about 14,824 (269)
Under CMIP6 scenarios in the Marsyangdi River Basin, SWAT+ simulations show that warming and shifting precipitation diminish snowfall and cryospheric buffering, deepening pre‐monsoon flow deficits. This seasonal mismatch drives critical Water–Energy–Food–Ecosystem trade‐offs: dry‐season run‐of‐river hydropower generation drop, and increase in winter ...
Diwakar Adhikari +6 more
wiley +1 more source
Работа посвящена разработке и экспериментальной валидации автоматизации построения маршрутов движения рабочих групп при аэроинспекции линий электропередач при помощи квадрокоптеров.
Alexandr Bychkov, Alexey Romanov
doaj +1 more source
The U.S National Elevation Dataset and the NLCD 2001 landcover data were used to test the correlation between SRTM elevation values and the height of evergreen forest vegetation in the Klamath Mountains of California.Vegetation height estimates (SRTM-NED)
Miliaresis, G +3 more
core +1 more source
LIDARs are found to provide crucial data for capturing windshear features related to terrain, low‐level jet and synoptic forcing. Their glide‐path scan data are highly useful for constructing the headwind profiles, which are used to generate windshear alerts.
Man Lok Chong +3 more
wiley +1 more source
Digital elevation models and their use for assessing soil erosion rates on arable lands
The paper presents the results of assessing the accuracy of global digital elevation models (GDEMs), SRTM and ASTER GDEMs, based on a small catchment located on the eastern slope of the Central Russian Upland in the upper reaches of the Veduga River ...
K.A. Maltsev +2 more
doaj
Towards Automated DEM Generation from High Resolution Stereo Satellite Images [PDF]
High resolution stereo satellite imagery is well suited for the creation of digital surface models (DSM). In this paper, a system for highly automated DSM and orthoimage generation based on CARTOSAT-1 imagery is presented.
Krauss, Thomas +4 more
core
SRTM Topography of East Senegal at 1"/pixel
SRTM Topography of East Senegal at 1 ...
David Baratoux, David Baratoux (5254678)
core +1 more source
Abstract This study introduces Disease Vector Intelligence (DVI), an explainable Machine Learning (ML) framework developed within the EYWA (EarlY WArning system for mosquito‐borne diseases) ecosystem. DVI integrates big Earth Observation (EO), socioeconomic, and estimated mosquito abundance data to predict the presence or absence of West Nile Virus ...
Dimitrios Sainidis +2 more
wiley +1 more source
Resampling SRTM 03”-data with kriging
The purpose of this article is to present the steps necessary to improve the resolution of a DEM us- ing variogram modelling and kriging, as well as a brief comparison of the results with those obtained with interpolation by Regularised Splines with Ten- sion (RST).
openaire +3 more sources
Height Error Correction for the New SRTM Elevation Product
The Shuttle Radar Topography Mission (SRTM), carrying a single-pass interferometric synthetic aperture radar(SAR) instrument, collected a global elevation data set, which has been widely used in scientific, military and commercial communities. In the new
Rosen, Paul +7 more
core

