Results 51 to 60 of about 14,824 (269)

Automated DSM based Georeferencing of CARTOSAT-1 Stereo Scenes [PDF]

open access: yes, 2009
High resolution stereo satellite imagery is well suited for the creation of digital surface models (DSM). A system for highly automated and operational DSM and orthoimage generation based on CARTOSAT-1 imagery is presented, with emphasis on fully ...
Reinartz, Peter   +4 more
core  

Revealing Dust Source Changes in East Asia From Past to Future: An Interpretable Deep Learning Approach

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Aeolian dust source areas are controlled by climate and human activities and are closely associated with land degradation, yet their long‐term evolution under global warming remains insufficiently quantified. An integrated framework that couples a U‐Net segmentation model with Shapley Additive Explanations (SHAP) was built to map and attribute
Yanyu Li   +5 more
wiley   +1 more source

Perfect Fluid with Heat Flow in f(T) Theory of Gravity

open access: yesEast European Journal of Physics
Bianchi Type-I cosmological models have been a subject of extensive research in cosmology due to their simplicity and relevance in understanding the dynamics of the early Universe.
D.D. Pawar   +2 more
doaj   +1 more source

Comparison of DEM Generation and Combination Methods Using High Resolution Optical Stereo Imagery and Interferometric SAR Data [PDF]

open access: yes, 2006
Digital elevation models (DEM) from satellite data are generated mainly from two types of datasets using completely different methods: photogrammetry for optical stereo images (e.g.
Schroeder, Manfred   +2 more
core  

Adjusted SRTM DEM of Owerri, South East Nigeria

open access: yes, 2020
Global Positioning System (GPS) Fast Static survey was used to coordinated 69 ground control points across the project area, which was a terrain of less than 6% slopes. Elevations of the control points were referenced to the same EGM 96 geoid as the SRTM
Chukwuocha, A (via Mendeley Data)
core   +1 more source

Explainable, Uncertainty‐Aware Machine Learning for Maize Land Suitability and Climate Resilience in Lorestan Province, Western Iran

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Maize (Zea mays L.) is strategically important in Iran, yet its cultivation in the semi‐arid Zagros is constrained by limited and variable water, heat stress and heterogeneous soils, while conventional suitability assessments are deterministic, rarely validated spatially and provide no measure of confidence.
Ahad Madani, Narges Shafaei Bajestani
wiley   +1 more source

Determining Physical Characteristics of Watersheds in Artvin Province Using SRTM and Topographic Map Data

open access: yesDoğal Afetler ve Çevre Dergisi, 2016
It is a fact that applying Geographical Information Systems (GIS) and associated software and/or modules on studies regarding use and protection of water resources have been increased in recent years.
Saim Yıldırımer   +2 more
doaj   +1 more source

Accuracy assessment and improvement of SRTM, ASTER, FABDEM, and MERIT DEMs by polynomial and optimization algorithm: A case study (Khuzestan Province, Iran)

open access: yesOpen Geosciences, 2023
Satellite digital elevation models (DEMs) are used for decision-making in various fields. Therefore, evaluating and improving vertical accuracy of DEM can increase the quality of end products.
Saberi Azim   +3 more
doaj   +1 more source

The TanDEM-X Mission Design and Data Acquisition Plan [PDF]

open access: yes, 2006
The TanDEM-X mission comprises two fully active synthetic aperture radar Xband satellites, operating three years as a joint mission. The primary goal of this mission is the derivation of a high-precision global DEM according to HRTI level 3 quality. Also
Wickler, Martin   +7 more
core  

SRTM elevation data for the SAFE Project

open access: yes, 2019
These files contain processed data from the Shuttle Radar Topograpy Mission (SRTM), providing 30 metre resolution elevation data across the research areas used in the SAFE Project .
Orme, Christopher
core   +1 more source

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