scholarly journals Detecting Areas Vulnerable to Sand Encroachment Using Remote Sensing and GIS Techniques in Nouakchott, Mauritania

2018 ◽  
Vol 10 (10) ◽  
pp. 1541 ◽  
Author(s):  
Diego Gómez ◽  
Pablo Salvador ◽  
Julia Sanz ◽  
Carlos Casanova ◽  
Jose Casanova

Sand dune advances poses a major threat to inhabitants and local authorities in the area of Nouakchott, Mauritania. Despite efforts to control dune mobility, accurate and adequate local studies are still needed to tackle sand encroachment. We have developed a Sand Dune Encroachment Vulnerability Index (SDEVI) to assess Nouakchott’s vulnerability to sand dune encroachment. Said index is based on the geo-physical characteristics of the area (wind direction and intensity, slope and surface height, land use, vegetation or soil properties) with Geographic Information System (GIS) techniques that can support local authorities and decision-makers in implementing preventive measures or reducing impact on the population and urban infrastructures. In order to validate this new index, we use two remote sensing approaches: optical-Sentinel 2 and Synthetic Aperture Radar (SAR)–Sentinel 1 data. Results show that the greatest vulnerability is located in the north-eastern part of Nouakchott, where local conditions favor the advance of sand in the city, although medium to high values are also found in the eastern part. Optical images enabled us to distinguish desert sand using the ratio between near infrared/blue bands, and SAR Coherence Change Detection (CCD) imagery was used to assess the degree of stability of those sand bodies. The nature of the SDEVI index allows us to currently assess which areas are vulnerable to sand encroachment since we use long data records. Nevertheless, optical and SAR remote sensing allow sand evolution to be monitored on a near real-time basis.

2006 ◽  
Vol 2 (1) ◽  
pp. 12
Author(s):  
Fathi M. Mohammed Saied

Satellite imagery acquired by IKONOS imaging system in 2003 and the analog map of the study area at scale 1:25000 (1984) have been used to estimate the urban growth taken place in the study area during the period 1984-2003. Remote sensing, digital image processing and GIS techniques were used to map this growth. Different procedures have been applied to the test data to achieve the objectives of this study. Image restoration as well as map projection and rectification operations were adopted to bring the test data at a common geo-reference coordinate system (UTM). Image enhancement and spatial topology processes have been applied and constructed to achieve the virtual representation of the real world. Analysis and overlay process were applied to the test data to model the urban growth in the study area between the year 1984 and the year 2003. The estimated amount of the urban growth was found to be approximately 3.249 Km2. The experimental test, carried throughout this study, proved that integrated remote sensing and GIS techniques have great impact on detecting environmental changes and man-made features variations through time.


2020 ◽  
Vol 12 (1) ◽  
pp. 1497-1511
Author(s):  
Alexey Naumov ◽  
Varvara Akimova ◽  
Daria Sidorova ◽  
Mikhail Topnikov

AbstractDespite harsh climate, agriculture on the northern margins of Russia still remains the backbone of food security. Historically, in both regions studied in this article – the Republic of Karelia and the Republic of Sakha (Yakutia) – agricultural activities as dairy farming and even cropping were well adapted to local conditions including traditional activities such as horse breeding typical for Yakutia. Using three different sources of information – official statistics, expert interviews, and field observations – allowed us to draw a conclusion that there are both similarities and differences in agricultural development and land use of these two studied regions. The differences arise from agro-climate conditions, settlement history, specialization, and spatial pattern of economy. In both regions, farming is concentrated within the areas with most suitable natural conditions. Yet, even there, agricultural land use is shrinking, especially in Karelia. Both regions are prone to being affected by seasonality, but vary in the degree of its influence. Geographical location plays special role, and weaknesses caused by remoteness to some extent become advantage as in Yakutia. Proximity effect is controversial. In Karelia, impact of neighboring Finland is insignificant compared with the nearby second Russian city – Saint Petersburg.


2021 ◽  
Vol 12 (1) ◽  
pp. 1778-1796
Author(s):  
Hussein Habeeb Hamed ◽  
Huda Jamal Jumaah ◽  
Bahareh Kalantar ◽  
Naonori Ueda ◽  
Vahideh Saeidi ◽  
...  

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