Article
Geosciences, Multidisciplinary
Azim Saberi, Mostafa Kabolizadeh, Kazem Rangzan, Majid Abrehdary
Summary: This study aimed to improve the vertical accuracy of satellite digital elevation models (DEMs) using the particle swarm optimization (PSO) algorithm. The results showed that the proposed model significantly improved the vertical accuracy of different DEMs.
Article
Environmental Sciences
J. J. Carrera-Hernandez
Summary: This study evaluates the vertical accuracy of eight Digital Surface Models (DSMs) available for Mexico, with LiDAR showing the best vertical accuracy. The errors in all DSMs are increasingly affected by slope and aspect.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Geosciences, Multidisciplinary
Benjamin Purinton, Bodo Bookhagen
Summary: Quantitative geomorphic research relies on accurate topographic data often collected through remote sensing methods. Different methods of data collection and resolution can impact data quality, this study introduces a new internal accuracy metric to evaluate DEM data quality, finding that Copernicus DEM provides the highest quality representation of landscapes.
FRONTIERS IN EARTH SCIENCE
(2021)
Article
Engineering, Multidisciplinary
Loutfia Elsonbaty, Hossam El-Din Fawzy, Hossam Mohamed Moghazy, Gehan Rashed, Magda Hamed
Summary: This research aims to evaluate the quality of several open source DEMs and proposes a method to enhance SRTM1. The results indicate that increasing the number of reference points can improve the accuracy of the digital elevation model.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Environmental Sciences
Haijiao Han, Qiming Zeng, Jian Jiao
Summary: Digital elevation models (DEMs) are fundamental data for scientific and engineering research, and the quality of DEMs can impact local applications. Studies show that TanDEM-X DEM has the best overall quality followed by SRTM, while ASTER GDEM has the lowest quality. The relationship between DEM quality and terrain factors, as well as the creation process of DEMs, is significant for further applications.
Article
Geography, Physical
Nahed Osama, Zhenfeng Shao, Mohamed Freeshah
Summary: This study assesses the performance of the Forest And Buildings removed Copernicus digital elevation model (fabdem) and compares it with commonly used global digital elevation models. The fabdem shows the highest vertical accuracy and best representation of terrain roughness, but performs poorly in slope representation.
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
(2023)
Article
Geosciences, Multidisciplinary
Dilbarkhon Fazilova, Obidjon Arabov
Summary: The study assessed the vertical accuracy of SRTM30, ASTER GDEM2, and ALOS AW3D30 using GPS data. The Fergana Valley area, known for its tectonic processes, was chosen as the study region. It was found that all global DEMs generally overestimated elevation in mountainous areas, and the vertical accuracy of the DEMs exceeded the declared values by distributors. However, ALOS AW3D30 was proven to be the most accurate DEM that represents the topography of the earth's surface and can be used for engineering applications in Fergana Valley.
EARTH SCIENCES RESEARCH JOURNAL
(2023)
Article
Environmental Sciences
Kumari Preety, Anup K. Prasad, Atul K. Varma, Hesham El-Askary
Summary: Publicly available digital elevation models have greatly influenced the quantification of landscape characteristics. This study examines the accuracy of six major public domain satellite-derived DEMs and finds that applying DGPS correction can improve accuracy significantly.
Article
Environmental Sciences
Menghua Li, Xiebing Yin, Bo-Hui Tang, Mengshi Yang
Summary: This study evaluates the accuracy of five globally covered and open-accessed DEM products in the mountain area using ICESat/GLAS data as the GCPs. The results show that slope is the main factor affecting the accuracy of DEM products, and different DEMs have different accuracies under different geographical feature conditions. This study makes a new attempt to quantify the factors affecting the accuracy of DEM and provides guidance for the selection of open-source DEMs in geoscience research.
Article
Environmental Sciences
Baojin Qiao, Jianting Ju, Liping Zhu, Hao Chen, Jinlei Kai, Qiangqiang Kou
Summary: Lake water storage is crucial for lake research, and traditional methods using bathymetric data for underwater topography estimation may lead to inaccuracies in large lakes like those found on the Tibetan Plateau. This study successfully utilized remote sensing data and in situ measurements to improve the accuracy of water storage estimation and change analysis in two lakes, highlighting the importance of considering multiple factors in lake expansion.
Article
Water Resources
Thanh-Nhan-Duc Tran, Binh Quang Nguyen, Ngoc Duong Vo, Manh-Hung Le, Quoc-Dinh Nguyen, Venkataraman Lakshmi, John D. Bolten
Summary: This study evaluates the impact of six global DEM products on hydrological modeling in the Lai Giang River basin in Central Vietnam. The results show that NASA and SRTM 30 DEMs have the highest accuracy, while ASTER GDEM2 performs the worst. The resolution and source of DEM have little impact on most hydrological components, except for a few specific factors.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Computer Science, Information Systems
Zuleide Alves Ferreira, Pedro Cabral
Summary: Digital elevation models (DEMs) are valuable tools in research as they are freely available for most areas of the Earth's surface. This study evaluated the vertical accuracy of ALOS PALSAR, GMTED2010, SRTM, and Topodata DEMs and investigated their relationship with altitude and slope in the study area. The results showed that these DEMs had satisfactory accuracy for mapping up to a scale of 1:100,000, and there was no significant correlation between altimetric error and altitude or slope.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Article
Environmental Sciences
Ashish Pandey, Amar Kant Gautam, V. M. Chowdary, C. S. Jha, Artemi Cerda
Summary: In this study, uncertainty in soil erosion modeling of the Karso watershed in India was assessed using the revised universal soil loss equation (RUSLE) and geospatial technologies, showing significant differences in soil loss estimates across different DEM sources and grid sizes. The study found that the Cartosat DEM with a 200m grid provided the best estimation of soil loss, indicating that the RUSLE model is scale-dependent and influenced by both DEM source and resolution. The use of multisource, multiresolution DEMs and the RUSLE helped identify spatial patterns of soil erosion within the watershed and analyze uncertainties in soil erosion modeling.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2021)
Article
Engineering, Electrical & Electronic
Elia Quiros, Maria-Eugenia Polo, Laura Fragoso-Campon
Summary: Information on forest structures is increasingly important for global carbon cycling, forest habitats, and biodiversity. The study compared GEDI data with other digital elevation models for Southwest Spain, finding that in some areas, the errors were less than 1 meter. The results indicate a clear relationship between coverage and slope, especially the latter.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Fardad Maghsoudi Moud, Frank van Ruitenbeek, Rob Hewson, Mark van der Meijde
Summary: Accurate assessment of classified mineral maps derived from satellite images is crucial for the success of a remote sensing project. By collecting rock samples, applying hyperspectral imaging, XRD analysis, and interpreting the results for mineralogy and compositional mapping, various methods were used to evaluate the accuracy of the classified maps. Sensitivity studies indicated that selecting the optimum SAM-derived threshold value is more important than spatial displacement. Impactful budget helped to evaluate and compare all sources of accuracy with their values.
Article
Geochemistry & Geophysics
Gaston M. Diaz, Jose D. Lencinas
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2015)
Article
Forestry
Gaston Mauro Diaz, Jose Daniel Lencinas
CANADIAN JOURNAL OF FOREST RESEARCH
(2018)
Article
Forestry
Gaston Mauro-Diaz, Jose Daniel Lencinas, Hector del Valle
Article
Biodiversity Conservation
Gaston M. Diaz, Diego Mohr-Bell, Jose D. Lencinas, Marcos Menger, Hector F. Del Valle
REVISTA CHILENA DE HISTORIA NATURAL
(2011)
Article
Remote Sensing
Gaston Mauro Diaz, Diego Mohr-Bell, Martin Garrett, Lucas Munoz, Jose Daniel Lencinas
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2020)
Article
Agronomy
Gaston Mauro Diaz, Pablo Augusto Negri, Jose Daniel Lencinas
Summary: Hemispherical photography is most accurate with well-exposed, diffuse-light images, but can be costly. An affordable alternative is using photos taken in direct sunlight, processed with deep learning regression techniques. Results show this approach is effective and efficient for surveying plots under direct sunlight.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Ecology
Hilary A. Cameron, Gaston M. Diaz, Jennifer L. Beverly
Summary: By using hemispherical photographs taken with a smartphone and fisheye lens attachment to derive CO and LAI values, an inexpensive and effective method for estimating canopy fuel load in the field has been developed.
METHODS IN ECOLOGY AND EVOLUTION
(2021)
Article
Ecology
Gaston Mauro Diaz
Summary: This study tests a ready-to-use approach based on previous research to quantify the errors associated with choosing smartphone-based HP in non-recommended light conditions. A total of 1080 photographs were taken at 30 locations, and the results showed that smartphone-based HP, when used following the recommendations of this study, can reliably quantify canopy parameters.
METHODS IN ECOLOGY AND EVOLUTION
(2023)
