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What are the most effective ways to use GIS for monitoring deforestation?

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Deforestation is a major environmental issue that threatens biodiversity, climate stability, and human well-being. Monitoring the extent, causes, and impacts of deforestation is essential for designing and implementing effective conservation and restoration strategies. Geographic information systems (GIS) are powerful tools that can help environmental professionals and stakeholders to collect, analyze, and visualize spatial data on forest cover and change. In this article, you will learn about some of the most effective ways to use GIS for monitoring deforestation, and how GIS can integrate with other environmental technologies to enhance your understanding and action.

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Elisabeth Geiger

GIS Analyst

1 Data sources

One of the first steps in using GIS for monitoring deforestation is to obtain reliable and updated data sources on forest cover and change. There are different types of data sources that can provide information on forest extent, quality, and dynamics, such as satellite imagery, aerial photography, drone surveys, field measurements, and community mapping. Depending on your objectives, budget, and availability, you can choose the most suitable data source or combine multiple sources to create a comprehensive and accurate dataset. You can also use online platforms, such as Global Forest Watch, to access and download free and open data on forest change.

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Elisabeth Geiger

GIS Analyst
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Depending on your location, your local government may have data available for public use. In many areas of the United States, the Department of Natural Resources or your county government may have a web page with GIS data available for use. You can also often find data sources through forums like reddit, where people compile open source data they have found. The most important thing to keep in mind when finding data is making sure it is recent and from a reliable source.

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2 Data analysis

Once you have your data sources, you can use GIS software to perform various types of data analysis to monitor deforestation. For example, you can use GIS to calculate forest loss and gain, identify deforestation hotspots and drivers, assess forest fragmentation and connectivity, measure carbon emissions and sequestration, and evaluate the impacts of deforestation on biodiversity and ecosystem services. You can also use GIS to perform spatial modeling and forecasting, such as predicting future scenarios of deforestation and its effects on climate change and wildlife habitats. You can use different GIS tools and techniques, such as remote sensing, spatial statistics, machine learning, and geoprocessing, to conduct your data analysis.

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Pia Crawford

Ecologist
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Measuring deforestation can be done in many ways. We can look at species diversity, density of canopy, % native flora, stem count or many other measurements to define deforestation. The analytical methods you choose should be defined by the scope of your research and the local ecosystem. GIS tools can be used to perform these analytics, making spatial references of areas of interest, creating count data or using machine learning to create scalable estimates. Geospatial mapping provides data presentation that is easily understood by a range of stakeholders, this is allows for increased impact and action.

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3 Data visualization

Another important way to use GIS for monitoring deforestation is to create and share data visualizations that can communicate your findings and insights to different audiences. Data visualizations can help you to explore, interpret, and present your data in a clear and engaging way, using maps, charts, graphs, dashboards, and story maps. You can use GIS software to create interactive and dynamic data visualizations that can show spatial patterns, trends, and relationships, as well as highlight areas of concern and opportunity. You can also use GIS software to publish and disseminate your data visualizations online or offline, to inform and influence decision-makers, stakeholders, and the public.

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Elisabeth Geiger

GIS Analyst
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Because deforestation is strongly associated with change, interactive maps would be very effective for communicating the change over time in the areas you are visualizing. Being able to see the changes occurring in the same space allows people to understand the data you are communicating better than a series of static maps would.

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4 GIS integration

A final way to use GIS for monitoring deforestation is to integrate it with other environmental technologies that can complement and enhance your data collection, analysis, and visualization. For example, you can use GIS to integrate data from sensors, cameras, or GPS devices that can provide real-time or near-real-time information on forest conditions and threats. You can also use GIS to integrate data from mobile applications, web portals, or social media that can enable citizen science, participatory mapping, or crowdsourcing of forest data. Additionally, you can use GIS to integrate data from other environmental technologies, such as biotechnology, nanotechnology, or green chemistry, that can offer innovative solutions for forest conservation and restoration.

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5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What are the most effective ways to use GIS for monitoring deforestation?

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1 Data sources

2 Data analysis

3 Data visualization

4 GIS integration

5 Here’s what else to consider

Environmental Services

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What are the most effective ways to use GIS for monitoring deforestation?

1

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5

1 Data sources

2 Data analysis

3 Data visualization

4 GIS integration

5 Here’s what else to consider

Environmental Services

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