Articles | Volume 7, issue 4
https://doi.org/10.5194/gi-7-297-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-7-297-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Consideration of NDVI thematic changes in density analysis and floristic composition of Wadi Yalamlam, Saudi Arabia
Amal Y. Aldhebiani
Biological Sciences Department, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
Department of Hydrology and Water Resources Management, Faculty of
Meteorology, Environment & Arid Land Agriculture, King Abdulaziz University Jeddah, 21589, Saudi Arabia
Ahmad K. Hegazy
Department of Botany, Faculty of Science, Cairo University, Giza, Egypt
Hanaa K. Galal
Biological Sciences Department, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
Botany & Microbiology Department, Faculty of Science, Assiut University, Assiut, Egypt
Norah S. Mufareh
Biological Sciences Department, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
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Mohamed Elhag, Ioannis Gitas, Anas Othman, and Jarbou Bahrawi
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-308, https://doi.org/10.5194/hess-2019-308, 2019
Preprint withdrawn
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The current research article tackled successfully the effect of Baysh dam reservoir surface area on the water quality parameters tested in this research. The article addressed the water surface area categorization as a driving force that controls water quality parameters. Partition analysis and Artificial Neural Network Analysis will be used to envisage the water surface area effect on the estimated water quality parameters.
Mohamed Elhag and Dalal Alshamsi
Geosci. Instrum. Method. Data Syst., 8, 45–54, https://doi.org/10.5194/gi-8-45-2019, https://doi.org/10.5194/gi-8-45-2019, 2019
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The article deals with the designation of fault detection on the island of Crete. The delineation is based on the integration method of remote sensing and GIS. The crucial finding is how to differentiate between faults and water streams. The results showed a robust approach to fault detection.
Mohamed Elhag and Slivena Boteva
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2017-318, https://doi.org/10.5194/nhess-2017-318, 2017
Preprint withdrawn
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The objective of this study is to test and evaluate the following FFDRS, to propose possible modifications that would better adapt these systems to the Mediterranean conditions. The implemented forest fire danger rating systems are the Canadian Forest Fire Danger Rating System (CFFDRS), and Keetch-Byram Drought Index (KBDI) of the American National Forest Fire Danger Rating System (NFFDRS).
Mohamed Elhag, Hanaa K. Galal, and Haneen Alsubaie
Geosci. Instrum. Method. Data Syst., 6, 293–300, https://doi.org/10.5194/gi-6-293-2017, https://doi.org/10.5194/gi-6-293-2017, 2017
Short summary
Short summary
This article focus on morphometric features and their role in water resource management at the basin scale. The estimation of the features requires an adequate understanding of DEM feature extractions. The findings of the current study will help decision makers to improve the adopted water resource management strategies in similar geographic locations.
Mohamed Elhag and Jarbou A. Bahrawi
Geosci. Instrum. Method. Data Syst., 6, 149–158, https://doi.org/10.5194/gi-6-149-2017, https://doi.org/10.5194/gi-6-149-2017, 2017
Short summary
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The current work is aimed at the quantification of the hydrological drought indices' response to soil salinity. Work has been done to overcome the problems of soil salinity on a large scale for better water resource management, especially in arid environments.
Mohamed Elhag and Jarbou A. Bahrawi
Geosci. Instrum. Method. Data Syst., 6, 141–147, https://doi.org/10.5194/gi-6-141-2017, https://doi.org/10.5194/gi-6-141-2017, 2017
Short summary
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Work has been done to overcome the problems of evapotranspiration on a large scale for better water resources management, especially in arid environments.
Related subject area
Image processing
Auroral alert version 1.0: two-step automatic detection of sudden aurora intensification from all-sky JPEG images
Automatic detection of calving events from time-lapse imagery at Tunabreen, Svalbard
Integration of remote sensing and geographic information systems for geological fault detection on the island of Crete, Greece
Precise DEM extraction from Svalbard using 1936 high oblique imagery
A comparative study of auroral morphology distribution between the Northern and Southern Hemisphere based on automatic classification
Understanding of morphometric features for adequate water resource management in arid environments
Soil salinity mapping and hydrological drought indices assessment in arid environments based on remote sensing techniques
Realization of daily evapotranspiration in arid ecosystems based on remote sensing techniques
Digital photography for assessing the link between vegetation phenology and CO2 exchange in two contrasting northern ecosystems
Automatic georeferencing of astronaut auroral photography
Image georectification and feature tracking toolbox: ImGRAFT
Masatoshi Yamauchi and Urban Brändström
Geosci. Instrum. Method. Data Syst., 12, 71–90, https://doi.org/10.5194/gi-12-71-2023, https://doi.org/10.5194/gi-12-71-2023, 2023
Short summary
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Potential users of all-sky aurora images even include power companies, tourists, and aurora enthusiasts. However, these potential users are normally not familiar with interpreting these images. To make them comprehensive for more users, we developed an automatic evaluation system of auroral activity level. The method involves two steps: first making a simple set of numbers that describes the auroral activity and then further simplifying them into several levels (Level 6 is an auroral explosion).
Dorothée Vallot, Sigit Adinugroho, Robin Strand, Penelope How, Rickard Pettersson, Douglas I. Benn, and Nicholas R. J. Hulton
Geosci. Instrum. Method. Data Syst., 8, 113–127, https://doi.org/10.5194/gi-8-113-2019, https://doi.org/10.5194/gi-8-113-2019, 2019
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This paper presents a novel method to quantify the sizes and frequency of calving events from time-lapse camera images. The calving front of a tidewater glacier experiences different episodes of iceberg deliveries that can be captured by a time-lapse camera situated in front of the glacier. An automatic way of detecting calving events is presented here and compared to manually detected events.
Mohamed Elhag and Dalal Alshamsi
Geosci. Instrum. Method. Data Syst., 8, 45–54, https://doi.org/10.5194/gi-8-45-2019, https://doi.org/10.5194/gi-8-45-2019, 2019
Short summary
Short summary
The article deals with the designation of fault detection on the island of Crete. The delineation is based on the integration method of remote sensing and GIS. The crucial finding is how to differentiate between faults and water streams. The results showed a robust approach to fault detection.
Luc Girod, Niels Ivar Nielsen, Frédérique Couderette, Christopher Nuth, and Andreas Kääb
Geosci. Instrum. Method. Data Syst., 7, 277–288, https://doi.org/10.5194/gi-7-277-2018, https://doi.org/10.5194/gi-7-277-2018, 2018
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Historical surveys performed through the use of aerial photography gave us the first maps of the Arctic. Nearly a century later, a renewed interest in studying the Arctic is rising from the need to understand and quantify climate change. It is therefore time to dig up the archives and extract the maximum of information from the images using the most modern methods. In this study, we show that the aerial survey of Svalbard in 1936–38 provides us with valuable data on the archipelago's glaciers.
Qiuju Yang and Ze-Jun Hu
Geosci. Instrum. Method. Data Syst., 7, 113–122, https://doi.org/10.5194/gi-7-113-2018, https://doi.org/10.5194/gi-7-113-2018, 2018
Short summary
Short summary
Based on the morphological characteristics of the four dayside auroral types on images at the Chinese Arctic Yellow River Station (YRS), and by extracting the local binary pattern features and using k-nearest classifier, we make an automatic classification to the auroral images of the YRS and the South Pole Station and obtain the occurrence distribution of the dayside aurora morphology. The results indicate that these auroral types present similar occurrence distributions in the two stations.
Mohamed Elhag, Hanaa K. Galal, and Haneen Alsubaie
Geosci. Instrum. Method. Data Syst., 6, 293–300, https://doi.org/10.5194/gi-6-293-2017, https://doi.org/10.5194/gi-6-293-2017, 2017
Short summary
Short summary
This article focus on morphometric features and their role in water resource management at the basin scale. The estimation of the features requires an adequate understanding of DEM feature extractions. The findings of the current study will help decision makers to improve the adopted water resource management strategies in similar geographic locations.
Mohamed Elhag and Jarbou A. Bahrawi
Geosci. Instrum. Method. Data Syst., 6, 149–158, https://doi.org/10.5194/gi-6-149-2017, https://doi.org/10.5194/gi-6-149-2017, 2017
Short summary
Short summary
The current work is aimed at the quantification of the hydrological drought indices' response to soil salinity. Work has been done to overcome the problems of soil salinity on a large scale for better water resource management, especially in arid environments.
Mohamed Elhag and Jarbou A. Bahrawi
Geosci. Instrum. Method. Data Syst., 6, 141–147, https://doi.org/10.5194/gi-6-141-2017, https://doi.org/10.5194/gi-6-141-2017, 2017
Short summary
Short summary
Work has been done to overcome the problems of evapotranspiration on a large scale for better water resources management, especially in arid environments.
Maiju Linkosalmi, Mika Aurela, Juha-Pekka Tuovinen, Mikko Peltoniemi, Cemal M. Tanis, Ali N. Arslan, Pasi Kolari, Kristin Böttcher, Tuula Aalto, Juuso Rainne, Juha Hatakka, and Tuomas Laurila
Geosci. Instrum. Method. Data Syst., 5, 417–426, https://doi.org/10.5194/gi-5-417-2016, https://doi.org/10.5194/gi-5-417-2016, 2016
Short summary
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Digital photography has become a widely used tool for monitoring the vegetation phenology. The seasonal cycle of the greenness index obtained from photographs correlated well with the CO2 exchange of the plants at our wetland and Scots pine forest sites. While the seasonal changes in the greenness were more obvious for the ecosystem dominated by annual plants, clear seasonal patterns were also observed for the evergreen forest.
Maik Riechert, Andrew P. Walsh, Alexander Gerst, and Matthew G. G. T. Taylor
Geosci. Instrum. Method. Data Syst., 5, 289–304, https://doi.org/10.5194/gi-5-289-2016, https://doi.org/10.5194/gi-5-289-2016, 2016
Short summary
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Astronauts on board the International Space Station have taken thousands of high-quality images of the northern and southern lights (aurorae). Because the images were not taken as part of a specific research project, no information about exactly where the camera was pointing was available. We have used the stars in the images to reconstruct this information. Now we can tell the latitudes and longitudes of the aurorae in the images and use them for research. The data are publicly available.
A. Messerli and A. Grinsted
Geosci. Instrum. Method. Data Syst., 4, 23–34, https://doi.org/10.5194/gi-4-23-2015, https://doi.org/10.5194/gi-4-23-2015, 2015
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The use of time-lapse cameras is becoming an ever more popular method of observing changes in the natural environment. This study provides an overview of the newly developed Image GeoRectification And Feature Tracking toolbox (ImGRAFT). The paper outlines the main function of the toolbox and describes each of the key processes needed to transform a pair of terrestrial time-lapse images into a velocity field. The tool is presented using a case study of glacier surface motion at Engabreen, Norway.
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Short summary
The current article focuses on plant diversity assessment in arid environments. Species richness and species evenness equations were used to meet the objectives. Remote sensing techniques were used to detect normalized difference vegetation index (NDVI) temporal changes. Two datasets were used to realize the NDVI, and post-chance detection (PCC) techniques were used to evaluate plant diversity status over a period of 4 years. The results show a recognizable loss in plant biodiversity.
The current article focuses on plant diversity assessment in arid environments. Species richness...