Assessments of annual primary production in the Sea of Azov based on oxygen method and remote sensing data

2020 ◽  
Vol 8 ◽  
pp. 165-180
Author(s):  
S.V. Berdnikov ◽  
◽  
L.V. Dashkevich ◽  
V.V. Kulygin ◽  
◽  
...  
Keyword(s):  
Remote Sensing ◽  
Primary Production ◽  
Remote Sensing Data ◽  
Sea Of Azov ◽  
The Sea Of Azov ◽  
Sensing Data ◽  
Annual Primary Production

scholarly journals Recognition of “flowering” processes on the base of remote sensing data in shallow water ponds on the example of the Azov Sea

2020 ◽  
Vol 175 ◽  
pp. 12013 ◽  
Author(s):  
Marina Ganzhur ◽  
Nikita Dyachenko ◽  
Olga Smirnova ◽  
Anna Poluyan ◽  
Natalya Panasenko
Keyword(s):  
Remote Sensing ◽  
Shallow Water ◽  
Satellite Images ◽  
Remote Sensing Data ◽  
Shallow Waters ◽  
Sea Of Azov ◽  
The Sea Of Azov ◽  
Sensing Data ◽  
Azov Sea

This work considers to the processes of «bloom» phytoplankton processes that cause hypoxic phenomena in shallow waters the example of the Sea of Azov. For the accumulation of information, multichannel satellite images of remote sensing are taken as a basis. In the process, the task of programmatically highlighting the contours of the areas of «bloom» is implemented.

scholarly journals ASSESSMENTS OF PRIMARY PRODUCTIVITY IN THE SEA OF AZOV BASED ON REMOTE SENSING DATA

2018 ◽  
Vol 14 (2) ◽  
pp. 55-65 ◽  
Author(s):  
S.V. Berdnikov ◽  
◽  
L.V. Dashkevich ◽  
V.V. Kulygin ◽  
V.V. Povazhnyy ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Primary Productivity ◽  
Remote Sensing Data ◽  
Sea Of Azov ◽  
The Sea Of Azov ◽  
Sensing Data

scholarly journals Aplikasi Penghitungan Gross Primary Production dari Data Penginderaan Jauh

2016 ◽  
pp. 31
Author(s):  
Komang Gede Kurniadi ◽  
I Putu Agung Bayupati ◽  
I Dewa Nyoman Nurweda Putra
Keyword(s):  
Remote Sensing ◽  
Primary Production ◽  
Gross Primary Production ◽  
Satellite Image ◽  
Remote Sensing Data ◽  
Landsat 8 ◽  
Automatic Data ◽  
Sensing Data ◽  
Metadata File ◽  
Production Calculation

Calculation of Gross Primary Production that utilize remote sensing data is can be done on commercial remote sensing software by manual method. The commercial remote sensing software does not provides a specific feature that allow the user to do the Gross Primary Production calculation. This research is aimed to to build a remote sensing software that can be specifically used to do the Gross Primary Production calculation for Denpasar area. This software accepts remote sensing data as an input, such as satellite image from Landsat 8 OLI and TIRS and metadata file. The formulas and supporting data that required on the Gross Primary Production calculation are implemented on software in order to make an automatic image processing software. There also some additional feature on this software such as automatic data parsing from metadata file, cropping, masking and zoom that could help user to do the Gross Primary Production calculation. The developed software is able to produce information such as Gross Primary Production  value that depicted by a figure with color segmentation, area of the segments and mean, minimum and maximum value of the Gross Primary Production.  

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