A PPALACHIAN E NERGY NASA Earth Observation Detection of Burned and - - PowerPoint PPT Presentation

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A PPALACHIAN E NERGY NASA Earth Observation Detection of Burned and - - PowerPoint PPT Presentation

National Aeronautics and Space Administration A PPALACHIAN E NERGY NASA Earth Observation Detection of Burned and Blighted Areas for Creation of an Unhealthy Forest Index to Prioritize Forest Harvest for Biofuel Production Rajkishan Rajappan


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National Aeronautics and Space Administration

NASA Earth Observation Detection of Burned and Blighted Areas for Creation of an Unhealthy Forest Index to Prioritize Forest Harvest for Biofuel Production

APPALACHIAN ENERGY

 Jordan Bates (Presenter)  Dieudonne Dusenge  Andrew Foxx  Jessica Huff  Rajkishan Rajappan  Rohini Swaminathan  Zachary Tate  Asongayi Venard

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Forests are under pressure from human activities such as residential development, agriculture and logging Natural factors: fires and invasions of pests such as the gypsy moth and the Hemlock woolly adelgid Biomass energy production destroys a large amount of healthy trees

Community Concerns

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Central Appalachian Mountains in the states of: North Carolina Virginia West Virginia Kentucky Tennessee

Study Area

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Objective:

Utilize NASA Earth observations to detect recently burned and blighted forests Results will help prioritize harvest of timber stocks on public lands to decrease fuel load and fire risk and create biofuels to meet energy needs

Partners:

U.S. Forest Service Virginia Department of Agriculture and Forestry EnviraCarbon Inc. (boundary

  • rganization)

Wise County, through EnviraCarbon, Inc.

Objectives and Partners

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Methodology

Data collection

Data processing

Products

Landsat 5 Terra Landsat 8

  • 1. Arc GIS
  • 2. MODIS

Reprojection Tool (MRT)

  • 3. Python

Aqua

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Results Data Collection Data Processing

Project Flowchart

Aqua/Terra

MODIS

Landsat 5

Thematic Mapper

Landsat 8

Operational Land Imager Normalized Burn Ration (NBR) Normalized Difference Vegetation Index (NDVI)

Dead Forest Extent US Forest Service Data

Normalized Difference Vegetation Index (NDWI)

FORWARN

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Forest Type

Hardwoods can resist defoliation and withstand decomposition longer than softwoods Softwoods die and decompose more easily Data obtained from US Forest Service

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Forest Fires

𝑂𝐶𝑆 =

𝐶𝑏𝑜𝑒 4 −𝐶𝑏𝑜𝑒 6 𝐶𝑏𝑜𝑒 4+𝐶𝑏𝑜𝑒 6

(in Landsat 8)

Comparatively small scale fires happen in the Appalachian region Not profitable for timber harvest

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Hemlocks are evergreen and recently affected by exotic insect, the wooly adelgid Hemlock infested areas have negative values due to defoliation

Hemlock Wooly Adelgid Infestation

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Wooly Adelgid Infestation Animation

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Gypsy Moth Infestation

Gypsy moth infested areas show negative difference due to defoliation Results collected from FORWARN

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Gypsy Moth Detection

The gypsy moth causes defoliation  NDWI images can be used for change detection

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In the following term, we extended the study area to the State of Texas The new project was called South East United States Energy We used the same methodology but added droughts as a factor to consider when identifying unhealthy forests

Following Term of Work

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NDVI with areas affected by invasive species marked 4,300 acres of forests in Virginia, 6,000 acres in Mississippi and 3,700 acres in Louisiana were identified as infected with insects

South East Unites States Energy II

SDCI = (0.25) Vegitation (NDVIs) + (0.25) Temperature LSTs + (0.5) Precipitation (Ps) SDCI model takes into account temperature, rainfall and vegetation indices to compute an estimation of drought severity

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Results from this project can help the partners to identify unhealthy forests

  • r dead wood for harvest and

reforestation Identifying dead forests will substantially decrease the deforestation of healthy forests and also increase fuel production efficiency

Conclusion

Acknowledgement

  • Dr. Kenton Ross

NASA DEVELOP Science Advisor

  • Dr. Steve Hooper

CEO, EnviraCarbon, Inc