Use of GIS and Satellite Imagery in the Study of the Spatial Distribution of Vegetation in the Entifa Forest (High Atlas Central, Morocco)

2018 ◽  
pp. 1749-1751
Author(s):  
Mohammed Amine Slimani ◽  
Ahmed El Aboudi ◽  
Abdelmejid Rahimi ◽  
Zahra Khalil
Keyword(s):  
Spatial Distribution ◽  
Satellite Imagery ◽  
High Atlas

Deep learning to detect built cultural heritage from satellite imagery. - Spatial distribution and size of vernacular houses in Sumba, Indonesia -

2021 ◽  
Vol 52 ◽  
pp. 171-183
Author(s):  
Fabrice Monna ◽  
Tanguy Rolland ◽  
Anthony Denaire ◽  
Nicolas Navarro ◽  
Ludovic Granjon ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Deep Learning ◽  
Cultural Heritage ◽  
Satellite Imagery

Diversity and spatial distribution of soil diatoms along a natural altitudinal gradient in the High Atlas (Morocco)

2021 ◽  
pp. 1-15
Author(s):  
Farah Minaoui ◽  
Zineb Hakkoum ◽  
Mountasser Douma ◽  
Khadija Mouhri ◽  
Mohammed Loudiki
Keyword(s):  
Spatial Distribution ◽  
Altitudinal Gradient ◽  
High Atlas

Modelling calving at Kronebreen, Svalbard using Elmer/Ice

2021 ◽  
Author(s):  
Felicity Holmes ◽  
Eef van Dongen ◽  
Nina Kirchner
Keyword(s):  
Spatial Distribution ◽  
Sea Level ◽  
Satellite Imagery ◽  
Model Output ◽  
Tidewater Glaciers ◽  
Glacier Dynamics ◽  
Model Set ◽  
Set Up ◽  
Short Time ◽  
Best Fit

<p>Understanding how tidewater glaciers are responding to climatic and oceanographic changes is vital in order to reduce uncertainty in sea level rise estimates. In this project, we are using the 3D calving model in Elmer/Ice to simulate how Kronebreen responds over short time scales to various forcing scenarios. Specifically, a variety of frontal melt scenarios are being implemented to understand how calving and glacier dynamics respond to changing inputs. Both the magnitude and spatial distribution of frontal melt will be varied, with these scenarios being informed by a dataset of glacier proximal water temperatures (spanning Aug 2016 –  Aug 2017) as well as by plume locations as identified from satellite imagery.  The model output will be compared to observational data (frontal position, velocities) collected for the period 2016 – 2017 with the aim of running longer simulations using a ’best fit’ model set up. Details of the experimental set up, as well as some preliminary results, are presented here. </p>

Assessment of spatial distribution of soil heavy metals using ANN-GA, MSLR and satellite imagery

2017 ◽  
Vol 189 (5) ◽  
Author(s):  
Arman Naderi ◽  
Mohammad Amir Delavar ◽  
Babak Kaboudin ◽  
Mohammad Sadegh Askari
Keyword(s):  
Heavy Metals ◽  
Spatial Distribution ◽  
Satellite Imagery ◽  
Soil Heavy Metals

scholarly journals Enhancing Participatory Development in Morocco: Analyzing the Sketch Mapping Behaviour of Men and Women and Integrating Paper and Digital Participatory Mapping Environments

2021 ◽  
Vol 4 ◽  
pp. 1-8
Author(s):  
Cora Stern ◽  
Matthew Rice
Keyword(s):  
Satellite Imagery ◽  
Frequency Analysis ◽  
Participatory Development ◽  
Language Loss ◽  
Participatory Mapping ◽  
Google Maps ◽  
Men And Women ◽  
High Atlas ◽  
Sketch Maps ◽  
First Time

Abstract. Twelve participatory paper maps by separate groups of men and women were facilitated by the High Atlas Foundation in six communities in Morocco between 2010–2020 as part of their process of participatory development. In this research, these sketch maps are analyzed for the first time. The twelve participatory paper maps underwent a gender-focused content frequency analysis. Seven communities were located using OpenStreetMap and Google Maps by a High Atlas Foundation expert. It was found that men contributed more overall geographic elements and written Arabic commentary than women, which could indicate a higher level of familiarity with their community and comfortability in communicating their opinions in writing. It was also found that there are many barriers to adding data from the sketch maps to OpenStreetMap due to language, loss of institutional memory, inconsistencies between the sketch maps of the same location, and inconsistencies between the sketch maps and satellite imagery.

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