Determining the spatio-temporal variability of glacier surface velocity using high-resolution satellite images and UAV data: Alamkuh glacier, Iran

2021 ◽  
Vol 13 (2) ◽  
pp. 138-150
Author(s):  
Neamat Karimi ◽  
Sara Sheshangosht ◽  
Ashkan Farokhnia
2018 ◽  
Vol 14 (3) ◽  
pp. 15-24
Author(s):  
Natalia A. Bryksina ◽  
Dzhuraboy T. Fidaev ◽  
Vitaliy M. Bryksin

The purpose of this work is to assess the accuracy of measuring the coastal boundary of the sea on optical images for the study of the short-term dynamics of the coastal zone of the Sambian Peninsula and its development trends using high-resolution and ultra-high resolution satellite images. The methodological issues of studying the dynamics of the coastal zone of the Sambian Peninsula using ground data and optical images of high and ultra-high resolution are considered. The estimation of the measurement error of the coastline on satellite images by comparison with the data of ground-based measurements of the coordinates of the coastline was carried out. It has been established that remote measurement of the coastal boundary of the sea using optical images is possible with an error not exceeding a few meters. It is shown that Change Detection is used to detect spatio-temporal changes in the coastal zone in multi-time images. Analysis of the quantitative assessment of changes in the area of erosion and accumulative sites on the coast of the Sambian Peninsula over the study period 2010-2017. Showed the prevalence of abrasion processes over accumulative, which is also confirmed by ground-based observations in the survey of the coastal zone after the storm in the period 2012-2017. It has been established that in most of the peninsula, over 5 years, the tendency for the coastline to recede towards the coast from 6 to 36 m on average prevails.


2021 ◽  
pp. 1-11
Author(s):  
Yasser Mostafa ◽  
Mahmoud Nokrashy O. Ali ◽  
Faten Mostafa ◽  
Mohamed Yousef

2018 ◽  
Vol 50 ◽  
pp. 02007
Author(s):  
Cecile Tondriaux ◽  
Anne Costard ◽  
Corinne Bertin ◽  
Sylvie Duthoit ◽  
Jérôme Hourdel ◽  
...  

In each winegrowing region, the winegrower tries to value its terroir and the oenologists do their best to produce the best wine. Thanks to new remote sensing techniques, it is possible to implement a segmentation of the vineyard according to the qualitative potential of the vine stocks and make the most of each terroir to improve wine quality. High resolution satellite images are processed in several spectral bands and algorithms set-up specifically for the Oenoview service allow to estimate vine vigour and a heterogeneity index that, used together, directly reflect the vineyard oenological potential. This service is used in different terroirs in France (Burgundy, Languedoc, Bordeaux, Anjou) and in other countries (Chile, Spain, Hungary and China). From this experience, we will show how remote sensing can help managing vine and wine production in all covered terroirs. Depending on the winegrowing region and its specificities, its use and results present some differences and similarities that we will highlight. We will give an overview of the method used, the advantage of implementing field intra-or inter-selection and how to optimize the use of amendment and sampling strategy as well as how to anticipate the whole vineyard management.


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