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Using Remote Sensing to Monitor Vegetation Change

A look at what is causing vegetation loss around the world and how we measure it.

Factors driving vegetation loss: urban growth, economic/agricultural, biological.

 

Urban growth, also known as urban sprawl, has become a concern in many different places on Earth. As global populations increase, so do the resources needed to accommodate such changes. 51% of the world population now lives in an urban area. Expansion of urban area typically means an overall increase in impervious surfaces and high density (usually low-income) residential structures. Historically, cities were founded on rivers due to transportation and essential water resources. Industrialization increased density and pollution as well attract workers (immigrants and farmers) to live and work. That same principle exists today but at a much larger scale. Cities that are in temperate zones are within a climate that harbors heavy vegetation in surrounding areas. Expansions into these areas mean the loss of forest cover and open space which is problematic when discussing climate change and how our atmosphere is changing. Here's a great arcticle discussing urban sprawl and the problems we face today.

 

Economic/Agricultural: Wood has been used to build and create structures and tools since ancient times. To sum up how the use of wood has impacted humanity would take a lot more than a few paragraphs on a website. With that said, lumber from trees have a strong impact in our everyday lives. So strong, that the idea of completely stopping commercial logging would cause an economic ripple across the globe. Deforestation due to commercial logging is a major factor global vegetation loss can greatly impact climate change and the carbon cycle. Tropical rain forests have long been controversial topic because of the lucrative economic value of the lumber as well as the lack of appropriate compensation at the local level of these places. The concern is the loss of such vast bio-diversity which contains millions of animal species along with thousands of plant species. Agriculture is also a major factor in vegetation loss. Clear-cutting was and is a common approach to developing agricultural farmland. On top of physically removing trees and brush land, agriculture increases strain on water resources, especially in arid climates, where whatever vegetation exists is a fragile balance to begin with.

 

Biological: The healthy state of vegetation can be analyzed based on the spectral signature of the chlorophyll and pigments of the leaves. Monitoring the health of vegetation can be helpful in determining problematic conditions of that region. Pollution, drought, and different land uses can have an effect on vegetation’s growth and sustainability. Natural and man-made forest fires contribute to significant losses of vegetation around the world as well. In the United States alone, wildfires claim 4-5 million acres of land each year.

 

 

Causes of Vegetation Loss
How to Measure Vegetation Change using Satellite Imaging

A commonly used tool to analyze the status of vegetation is the Normalized Difference Vegetation Index, (NDVI). The NDVI formula is                          NIR-VISIBLE/ NIR+VISIBLE-reflective percentage.

The index created ranges from -1 to 1. Closer to 1 means denser green leaves.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Different apperatus provide different spatial resolutions, all of which are used in vegetation analysis. Coarse, Medium and Hyperspectral resolution data are available from different platforms and sensors.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

On board the Terra and Aqua satellites is the MODIS (Moderate-resolution Imaging Spectroradiometer). The spatial resolution is 250 meters which is very useful in analyzing sub-regional areas of vegetation. SPOT has a spatial resolution of 1 kilometer along with MERIS with 300 meter- 1 kilometer resolution.

Among the most commonly used data sets are the Landsat images. Landsat has a variety of sensors aboard and provide a great deal of information on all aspects of remote sensing. The spatial resolution the sensors range from 185 km swath on the MSS system, to a 15 m resolution on the ETM+ sensor. Just as important as analyzing vegetation, it is vital to be able to monitor urban areas using remote sensing as well. Ideally, high resolution imagery is best practice when imaging urban centers. Being able to resolve more area with better definition is important because of the minor changes in intesity of color and reflection in urban areas.

Platforms and Sensors  
Remote Sensing Backgound

Remote Sensing is a tool we use to monitor the Earth. By measuring how material on Earth interacts with the sun's energy we are able analyze the current condition of the Earth's features including atmosphere, terrestrial and sub-terrestrial. For more information about remote sensing and the science of it, click here. Vegetation is among the most important and widely studied aspects of the environment. The presence of vegetation greatly impacts natural occurrences on earth and in its atmosphere. For more information on how vegetation impacts the water cycle and carbon cycle, click here. The sensors that detect radiation coming from earth (electromagnetic radiation) are captured in multiple wavelengths. As stated above, material reacts differently to EM radiation, though vegetation can be significantly analyzed in the Near-Infrared and Visible regions of the Electromagnetic Spectrum. Absorption and reflectance play major roles in how materials are observed by sensors in the specific wavelengths. Read about them here. And for visual purpose here is a graphic measuring vegetation's specular reflection:
 

 

 

 

 

 

 

 

 

 

 

 

 

In addition to sensing regions of light that the human eye cannot see, sensors provide the ability to either image (all radiation at one time) or scan (pixel by pixel), also known as 'push-broom' and 'whisk broom' scanning.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

There are two types of sensing; aerial photography and multi-spectral. Aerial photographs use push-broom scanning to capture all energy in one image while MSS uses whisk-broom scanning to create 'pixels' that contain an individual value based on intensity. Multi-spectral scanners have different aspects that determine the quality of the image being created.  Here is a great page to learn about the MSS and different resolutions involved in scanning,

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