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Posted on May 5, 2024 (Updated on August 26, 2025)

GIS-Based Approaches for Estimating Potential Evapotranspiration in Non-Agricultural Land Use: A Comprehensive Review

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GIS-Based Approaches for Estimating Potential Evapotranspiration in Non-Agricultural Land Use: A Comprehensive Review (Humanized)

Ever wonder where all the water goes? A big chunk of it disappears through evapotranspiration (ET), a combo move of evaporation from surfaces and transpiration from plants. It’s a key player in the Earth’s water cycle, and getting a handle on ET is crucial for managing our water resources, predicting climate changes, and a whole bunch of other environmental stuff. We’ve got ET estimation down pretty well for farms, but what about everywhere else? Non-agricultural areas throw some curveballs, demanding specialized techniques. Let’s dive into how we can use Geographic Information Systems (GIS) to figure out potential evapotranspiration (PET) in these trickier landscapes.

Why Should We Care About PET in Non-Agricultural Areas?

Potential evapotranspiration (PET) is like the theoretical maximum amount of water that could vanish into thin air if plants had all the water they could ever want. Why bother calculating this in places that aren’t farms? Well, for starters:

  • Water Management: PET helps us understand how much water we’re using, manage supplies, and see how land changes mess with the water balance in a region. Think of it as keeping tabs on our water budget.
  • Urban Planning: Ever notice how some cities are way hotter than others? Understanding ET in cities helps us design greener spaces, fight urban heat islands, and water parks and lawns efficiently. It’s about making cities more livable.
  • Environmental Impact: Cutting down forests or building new suburbs? PET estimation is key to figuring out how these changes impact local water systems. It’s like a check-up for the environment.
  • Climate Change: PET data is essential for climate models to predict future water availability, drought risks, and ecosystem responses to changing climatic conditions .
  • Monitoring Protected Areas: Evapotranspiration can be used to monitor the health of vegetation in protected areas, providing an early warning during dry spells . Sharp decreases in ET in a region can also support efforts to identify illegal development areas and landscape transformation activities .

The Headaches of Estimating PET Outside of Farms

Estimating PET in forests, cities, and natural areas is way different than doing it on a farm. These places have a wild mix of plants, surfaces, and weather conditions that make things complicated. Here’s what we’re up against:

  • A Hodgepodge of Land Cover: Unlike a field of corn, these landscapes are a mix of trees, concrete, bare ground… you name it. This makes it tough to use one-size-fits-all ET methods.
  • Crazy Terrain: Hills and valleys create microclimates, messing with sunlight and wind, which in turn affects ET.
  • Spotty Data: Sometimes, weather stations are few and far between, making it hard to get the data we need for traditional ET calculations.
  • Human Interference: Cities have their own quirks, like extra watering, different surface materials, and those pesky urban heat islands, all throwing off ET rates.

GIS to the Rescue!

Here’s where GIS comes in. It’s like a super-powered map that can pull together different types of information – spatial data, weather info, and satellite images – to estimate PET in these complex areas. GIS helps us deal with the mixed-up landscapes and tricky terrain, making ET estimation possible.

How We Do It: The Usual Suspects

There are a few common ways to estimate PET, each with its own strengths and weaknesses:

  • Old-School Formulas: These methods use statistical relationships between PET and weather stuff like temperature, humidity, wind, and sunlight. Some popular ones include:

    • Hargreaves-Samani: Need something simple? This one just uses temperature, perfect for areas where you don’t have a ton of data.
    • Thornthwaite: Another temperature-based method that factors in day length.
    • Penman-Monteith: Considered the gold standard. It uses a bunch of weather factors and is often used to check the accuracy of other methods. The FAO56 Penman-Monteith model is considered the standard method for estimating reference evapotranspiration .
  • Satellite Sleuthing: Satellites give us a bird’s-eye view of land surface temperature, vegetation, and how much sunlight is reflected. This data can be used to estimate ET over large areas.

    • Energy Balance Models: Fancy names like SEBAL, METRIC, SEBS, and S-SEBI use satellite data to figure out the energy balance at the surface and then calculate ET.
    • MODIS Data: Satellites like MODIS provide global ET estimates.
    • SSEBop: The Operational Simplified Surface Energy Balance (SSEBop) is a remote sensing-based model that provides evapotranspiration estimates . SSEBop uses the Simplified Surface Energy Balance (SSEBop) model and ET fractions from NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) and predefined parameters for operational applications .
  • Filling in the Gaps with GIS: GIS can take data from weather stations and create smooth maps of temperature, humidity, and wind. These maps can then be used in the old-school formulas to estimate ET across the entire area.

  • The Best of Both Worlds: Combine satellite data with GIS to estimate ET by looking at surface reflectivity, radiation, heat, and other factors.

  • What’s Next? The Future of ET Estimation

    New and improved satellites, like Sentinel-2, are giving us sharper images and better data. Plus, we’re starting to use machine learning to build even better ET models. The future looks bright, but we still need to:

    • Develop ET models specifically for non-agricultural areas.
    • Get more accurate satellite data.
    • Use local knowledge to fine-tune our models.
    • Create easy-to-use GIS tools for water management.
    • Combine different methods to get the most accurate ET estimates.

    The Bottom Line

    GIS is a game-changer for estimating PET in non-agricultural landscapes. By bringing together different data sources and ET methods, we can get a much clearer picture of how water moves through these complex environments. As water becomes scarcer, these techniques will be essential for managing our resources and protecting the environment. It’s not just about knowing where the water goes; it’s about ensuring we have enough for everyone.

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