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MISLAND QGIS PLUGIN

General Infortmation

MISLAND-North Africa is an operational instrument relying on the international standards for reporting SDG 15.3.1 and technical approaches allowing the delivery of regular information on vegetation cover gain/loss to decision makers and environmental agencies at the first place.

The core-service provides land degradation indicators for six North African Countries at two levels:

At the regional level(North Africa action zone) where low and medium resolution EO are used.

At the pilot site level, where(customized indicators) can be developed, using medium resoultion data(landsat time series imagery and derived vegetation indices, combined with different satellite-derived climate data) QGIS plugin for OSS Land Degradation Monitoring Service (MISLAND)


Plugin Modules

The offline system (GIS Plugin) will have three modules:

  • input module,
  • computation module and
  • output module.

flow diagram

The input module will enable the user to load ancillary data, e.g. rainfall, vegetation cover, wind speed data etc., required by the service model to compute various outputs.

The computation module will implement the models and algorithms, while the output module will enable the user to download the result. Our assumption here is that the output will be a Geotiff map for the area of interest.

It’s important to note that the same functions available through the web service will be available through a GIS plugin, where more advanced analysis can be done. This will overpass data sharing issues and allow users who do not have continuous/stable internet connection and want to perform advanced analysis


Plugin Flow

Below is an illustration of flow of information from one resource to another within the QGIS Plugin architecture

flow

An end-user executes a module/script within the plugin eg. forest fires. The plugin sends this request to the backend API which creates an execution and execution logs for this instance as well as requests the script ID from the Postgresql database. The database returns metadata of the script back to the backend API which then sends the the request to google earth engine python library on which script to run. Execution logs are then recorded in the database as the script runs from start to finish.

On successful completion of the execution, the final result(tiff file) is exported by google earth engine to Google Cloud Storage bucket as an object. The end-user is then able to thereafter download and visualize the result via the plugin onto QGIS. This data remains available for download by the end-user for upto 7 days.


INSTALLING PLUGIN FROM ZIPILE

To install from within QGIS, first launch QGIS, and then go to Plugins in the menu bar at the top of the program and select Manage and install plugins.

Then search navigate to Install from ZIP and upload the MISLAND plugin zipfile. If your plugin has been installed properly, there will be a menu bar in the top left of your QGIS.


DOCUMENTATION

MISLAND QGIS Plugin documentation can be found at MISLAND DOCS


DATA SOURCES

Datasets used in running of processing scripts in MISLAND QGIS Plugin are as listed below:

LAND DEGRDATION (SDG 15.3.1) DATA SOURCES

Indicator Variables Data Source
Soil Organic Carbon Climate Zones Gee Asset:users/geflanddegradation/toolbox_datasets/ipcc_climate_zones
Land Cover ESA CCI–land cover map v2.0.7–2015
Productivity Land Cover ESA CCI–land cover map v2.0.7–2015
Land Productivity Land Productivity Dynamics from Joint Research Commission (UNCCD)GEE Asset: users/geflanddegradation/toolbox_datasets/lpd_300m_longlat
Global agroecological zones from IIASA OpenLandMap USDA soil taxonomy great groups
NDVI MOD13Q1.006 Terra Vegetation Indices 16-Day Global 250m
Land Cover Land Cover ESA CCI–land cover map v2.0.7–2015

VEGETATION DEGRADATION DATA SOURCES

Indicator Variables Data Source
Forest Degradation Hotspots Forest Fires Sentinel-2 MSI: MultiSpectral Instrument, Level-1C
USGS Landsat 8 Surface Reflectance Tier 1
Forest Change and Carbon Stocks Hansen Global Forest Change v1.7 (2000-2019)
Vegetation Indices Time-series NDVI, MSAVI2, SAVI Landsat7 ETM+GEE Asset: users/miswagrace/ndvi_landsat_1999_2020

MEDALUS (MEDITERRANEAN)

Indicator Variables Data Source
Soil Quality Index Slope SRTM Digital Elevation
Soil Depth Custom User Input
Rock Fragments Harmonized World Soil Database
Parent Material Digital Sol Map of the world
Drainage Harmonized World Soil Database
Soil Texture OpenLandMap Soil texture class (USDA system)
Climate Quality Index Precipitation TerraClimate Monthly Climate and Climatic Water Balance for Global Terrestrial Surfaces
Potential Evapotranspiration TerraClimate Monthly Climate and Climatic Water Balance for Global Terrestrial Surfaces
Vegetation Quality Index Fire Risk ESA CCI–land cover map v2.0.7–2015
Drought Resistance ESA CCI–land cover map v2.0.7–2015
Erosion Protection ESA CCI–land cover map v2.0.7–2015
Plant Cover PROBA-V C1 Top Of Canopy Daily Synthesis 100m
Land Management Quality Index Land Use Intensity ESA CCI–land cover map v2.0.7–2015
Population Density GPWv411: Population Density (Gridded Population of the World Version 4.11)

More info on data sources and data coding visit https://misland.readthedocs.io/en/latest/Introduction/data.html


Aknowledgement

Special appreciation to the Trends.Earth. Conservation International. Available online at http://trends.earth .2018. for providing input on the implementation of the SDG 15.3 and LDN indicators in MISLAND-North Africa, on the UNCCD reporting process, and also provided early input and testing of the tool.

The project also acknowledges the contribution of national and regional stakeholders; Algerian Space Agency(ASAL), ASAL (Algeria), DRC (Egypt), LCRSSS (Libya), CRTS (Morocco), AL-Aasriya University of Nouakchott (Mauritania) and CNCT (Tunisia) for the national level and CRTEAN and CRASTE-LF for the regional level


Getting help

Contact the MISLAND-North Africa team with any comments or suggestions. If you have specific bugs to report or improvements to the tool that you would like to suggest, you can also submit them in the issue tracker on Github for MISLAND-North Africa.


License

MISLAND is free and open-source. It is licensed under the GNU General Public License, version 2.0 or later.

This site and the products of MISLAND are made available under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). The boundaries and names used, and the designations used, in MISLAND do not imply official endorsement or acceptance by OSS, or its partner organizations and contributors.