systemwide_header_logoalttext

Northeastern Forest Health Trend Index Derived from Landsat Imagery: Forest Condition Trend Data, 1984-2009

Download Metadata
View Metadata in XML Format

dataset_eml_metadataproviderheader

  • Forest Ecosystem Monitoring Cooperative

    • Address:
      705 Spear Street
      South Burlington, Vermont 05403
      United States of America

      Phone: (802) 391-4135
      Email: femc@uvm.edu
      Website: www.uvm.edu/femc

dataset_eml_abstractheader

    Forest health in the northeast is of increasing concern due to climate change and anthropogenic pressures. In order to monitor canopy condition across the region, this study uses remote sensing images, which can be used to assess the crown condition of forests over long time periods and large areas. A forest health rating based on canopy “greenness”, photosynthetic capacity, canopy density and water content was applied to Landsat TM5 satellite imagery to quantify yearly forest health from 1984 to 2009, as well as changes and trends in health over that time period.

dataset_eml_peopleheader

  • Jennifer Pontius: dataset_eml_peopleprincipleinvestigator

  • Mary Martin: dataset_eml_peoplecontentprovider

dataset_eml_projectkeywordheader

  • forests, landscape change, satellite imagery,

Organizations

  • Northeastern States Research Cooperative : funder

dataset_eml_locationheader

  • dataset_eml_locationcords

    dataset_eml_datatableheader

    • dataset_eml_datatabletitle: Forest Condition Trend Data, 1984-2009
    • dataset_eml_datatablestartdate: 1984-01-01
    • dataset_eml_datatableendate: 2009-12-31
    • dataset_eml_datatabledescription: Spatial data (raster) of changes in forest canopy condition from 1984 to 2009, based on remote sensing data

    • dataset_eml_datatablepurpose: This study uses remote sensing images, which can be used to assess the crown condition of forests over long time periods and large areas. A forest health rating based on canopy “greenness”, photosynthetic capacity, canopy density and water content was applied.

    • dateset_eml_datatableshortname: path13_14_healthtrend_exmask_gt15_lt5_final_noedge_mosaic.zip

    • dataset_eml_datatablephysicalobjectname: VMC.320.333

    • dataset_eml_datatabledatatype: mySQL
    • dataset_eml_datatablecitation: Jennifer Pontius. 2009. Forest Condition Trend Data, 1984-2009. University of Vermont.

    • dataset_eml_datatableonlinedistribution: https://vmc.w3.uvm.edu/vmcdevel/CI4/data/archive/project/northeastern-forest-health-trend-index-derived/dataset/forest-condition-trend-data-1984-2009

    dataset_eml_attributelistheader

    dataset_eml_methodsheader

    • dataset_eml_methodsPast (dataset_eml_notInUse)
      • dataset_eml_methodsUnnamed
        • dataset_eml_methodsStartDate: 1991-07-01
          dataset_eml_methodsEndDate: 1992-12-30
        • dataset_eml_methoddescription: To be completed

      • dataset_eml_methodsUnnamed
        • dataset_eml_methodsStartDate: 1991-07-01
          dataset_eml_methodsEndDate: 1992-12-30
        • dataset_eml_methoddescription: To be completed

    dataset_eml_samplingheader

    • dataset_eml_noSamplingEquipment

    dataset_eml_sitecharacteristicsheader

    • dataset_eml_noSiteCharacteristics