scholarly journals The Experience in Conducting a Training Course for Teachers, "Fundamentals of Remote Sensing: History and Practice"

2021 ◽  
Vol 8 (2) ◽  
pp. 36-40
Author(s):  
Stanislav Dovgyi ◽  
Svitlana Babiichuk ◽  
Olha Tomchenko ◽  
Vadim Lyalko
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Educational Process ◽  
Gis And Remote Sensing ◽  
Sensing Data ◽  
Training Course ◽  
Data Application ◽  
Academy Of Sciences

This article describes the results of a training course for teachers, "Fundamentals of Remote Sensing: History and Practice", which was organized by the "GIS and Remote Sensing" Laboratory of the National Center "Junior Academy of Sciences of Ukraine." The article discusses the preconditions for the training course organization and ways of remote sensing data application in the educational process. It also provides examples of individual research by training course participants, which were presented at the closing conference.

Water level monitoring using radar remote sensing data: Application to Lake Kivu, central Africa

2009 ◽  
Vol 34 (13-16) ◽  
pp. 722-728 ◽  
Author(s):  
Omar Munyaneza ◽  
Umaru G. Wali ◽  
Stefan Uhlenbrook ◽  
Shreedhar Maskey ◽  
McArd J. Mlotha
Keyword(s):  
Remote Sensing ◽  
Water Level ◽  
Central Africa ◽  
Remote Sensing Data ◽  
Radar Remote Sensing ◽  
Sensing Data ◽  
Data Application ◽  
Lake Kivu ◽  
Level Monitoring ◽  
Water Level Monitoring

scholarly journals Exploring the Relationship between LST, LULC and NDVI in Saïss Plain using Geospatial Techniques

2021 ◽  
Vol 314 ◽  
pp. 04001
Author(s):  
Manal El Garouani ◽  
Mhamed Amyay ◽  
Abderrahim Lahrach ◽  
Hassane Jarar Oulidi
Keyword(s):  
Remote Sensing ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Vegetation Index ◽  
Arable Land ◽  
Remote Sensing Data ◽  
Landsat Images ◽  
Gis And Remote Sensing ◽  
Sensing Data

Land use/land cover (LULC) change has been confirmed that have a significant impact on climate through various pathways that modulate land surface temperature (LST) and precipitation. However, there are no studies illustrated this link in the Saïss plain using remote sensing data. Thus, the aim of this study is to monitor the LST relationship between LULC and vegetation index change in the Saïss plain using GIS and Remote Sensing Data. We used 18 Landsat images to study the annual and interannual variation of LST with LULC (1988, 1999, 2009 and 2019). To highlight the effect of biomass on LST distribution, the Normalized Difference Vegetation Index (NDVI) was calculated, which is a very good indicator of biomass. The mapping results showed an increase in the arboriculture and urbanized areas to detriment of arable lands and rangelands. Based on statistical analyzes, the LST varies during the phases of plant growth in all seasons and that it is diversified due to the positional influence of LULC type. The variation of land surface temperature with NDVI shows a negative correlation. This explains the increase in the surface temperature in rangelands and arable land while it decreases in irrigated crops and arboriculture.

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