Development of a Web Mapping Application for grazing resource information in Kordofan, Sudan, by downloading MODIS data automatically via Python
(2016) In Student thesis series INES NGEM01 20161Dept of Physical Geography and Ecosystem Science
- Abstract
- In Sahel livestock stands for an important resource. Since livestock is dependent on vegetation as food supply it is important to monitor biomass within the area to be able to assess and adapt to different situations regarding the livestock. Optimally such approximations should be available as early as possible in order for the owners to be able to make decisions while it still makes a difference. If patterns of annual NPP is detected and is identified due to different factors, mitigation can be discussed and food shortage for the livestock be prevented at an early stage. The overall aim of this thesis was to develop a web mapping application that can be used to disseminate grazing resource information as an aid in planning as well as a... (More)
- In Sahel livestock stands for an important resource. Since livestock is dependent on vegetation as food supply it is important to monitor biomass within the area to be able to assess and adapt to different situations regarding the livestock. Optimally such approximations should be available as early as possible in order for the owners to be able to make decisions while it still makes a difference. If patterns of annual NPP is detected and is identified due to different factors, mitigation can be discussed and food shortage for the livestock be prevented at an early stage. The overall aim of this thesis was to develop a web mapping application that can be used to disseminate grazing resource information as an aid in planning as well as a source for policy and decision making. MODIS data, containing NPP, was downloaded and processed automatically from the United States Geological Survey website through a Python script and was uploaded to ArcGIS Online where the Web Mapping Application is available. Long-term patterns of NPP could be detected by using long term accumulate values of NPP and gives an indication of how the vegetation and relative resource availability fluctuates each year and when there is expected to be the most vegetation and vice versa. The Web Mapping Application developed in this thesis do disseminate grazing information but requires some further implementations before it is a trustworthy aid in planning and decision making. This thesis can, nevertheless, be built upon for further implementation and provide some inspiration in the process. (Less)
- Popular Abstract (Swedish)
- I Sudan, Kordofan, livnärs sig många från boskapsdjur och nomader har som uppgift att flytta runt dessa till diverse betesresurser. Eftersom betesresurserna varierar från år till år har det skapats ett projekt som kallas för GRIS där man ska ta reda på tillgång och efterfråga på just betesresurser. Data tillgänglig från detta projekt ska finnas tillgänglig på en kartapplikation och det är där detta examensarbete kommer in i bilden.
Betesresurserna har blivit beräknade i den mängd vegetation som finns tillgänglig från satellitebilder. Dessa satellitebilder har i ett python skript blivit nedladdat och behandlade så de är färdiga rent visuellt att ladda upp på en server för att senare finnas tillgänglig i en kartapplikation.
Genom att... (More) - I Sudan, Kordofan, livnärs sig många från boskapsdjur och nomader har som uppgift att flytta runt dessa till diverse betesresurser. Eftersom betesresurserna varierar från år till år har det skapats ett projekt som kallas för GRIS där man ska ta reda på tillgång och efterfråga på just betesresurser. Data tillgänglig från detta projekt ska finnas tillgänglig på en kartapplikation och det är där detta examensarbete kommer in i bilden.
Betesresurserna har blivit beräknade i den mängd vegetation som finns tillgänglig från satellitebilder. Dessa satellitebilder har i ett python skript blivit nedladdat och behandlade så de är färdiga rent visuellt att ladda upp på en server för att senare finnas tillgänglig i en kartapplikation.
Genom att ladda ner data redan från år 2000 till 2016 har mönster i betesresurser hittats över en lång period. Detta ger en inblick i hur vegetationen brukar flukturera över åren och när det förväntas vara som mest respektive minst betesresurser att tillgå för boskapsdjuren.
Kartapplikationen som utvecklats i detta examensarbete visualiserar tillgängliga betesresurser men behöver fortsatt implementering innan den kan användas fullt ut som en hjälp för lokalbefolkningen och övriga besultsfattande personer. Oavsett, kan detta arbete användas som en grund för sådan fortsatt implementering samt bidra med inspiration på vägen.
Nyckelord Geografi, Naturgeografi, Webutveckling, Python, NPP, MODIS, Kordofan, Sahel, Betesresurser, Internet GIS och ArcGIS Online. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/8883454
- author
- Ahlgren, Jessica LU
- supervisor
-
- Finn Hedefalk LU
- Jonas Ardö LU
- organization
- alternative title
- Utveckling av en internetbaserad kartapplikation för information om betesresurser i Kordofan, Sudan, genom att ladda ner MODIS data automatiskt via Python
- course
- NGEM01 20161
- year
- 2016
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- grazing resources, Sahel, Kordofan, MODIS, NPP, Python, web development, geopgraphy, physical geography, Web GIS and ArcGIS Online
- publication/series
- Student thesis series INES
- report number
- 389
- language
- English
- id
- 8883454
- date added to LUP
- 2016-06-21 17:06:40
- date last changed
- 2016-06-21 17:06:40
@misc{8883454,
abstract = {{In Sahel livestock stands for an important resource. Since livestock is dependent on vegetation as food supply it is important to monitor biomass within the area to be able to assess and adapt to different situations regarding the livestock. Optimally such approximations should be available as early as possible in order for the owners to be able to make decisions while it still makes a difference. If patterns of annual NPP is detected and is identified due to different factors, mitigation can be discussed and food shortage for the livestock be prevented at an early stage. The overall aim of this thesis was to develop a web mapping application that can be used to disseminate grazing resource information as an aid in planning as well as a source for policy and decision making. MODIS data, containing NPP, was downloaded and processed automatically from the United States Geological Survey website through a Python script and was uploaded to ArcGIS Online where the Web Mapping Application is available. Long-term patterns of NPP could be detected by using long term accumulate values of NPP and gives an indication of how the vegetation and relative resource availability fluctuates each year and when there is expected to be the most vegetation and vice versa. The Web Mapping Application developed in this thesis do disseminate grazing information but requires some further implementations before it is a trustworthy aid in planning and decision making. This thesis can, nevertheless, be built upon for further implementation and provide some inspiration in the process.}},
author = {{Ahlgren, Jessica}},
language = {{eng}},
note = {{Student Paper}},
series = {{Student thesis series INES}},
title = {{Development of a Web Mapping Application for grazing resource information in Kordofan, Sudan, by downloading MODIS data automatically via Python}},
year = {{2016}},
}