Forest Health Indicators Dashboard MODIS DUR and TIN: MODIS TIN Yearly Mean and STD
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► Metadata Provider
- 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
► Abstract
Data derived from MODIS images for New Hampshire, New York, and Vermont to assess forest condition and growing season length.
► Geographic Coverage
- Coordinates
► Data Table
- Title: MODIS TIN Yearly Mean and STD
- Start Date: 2003-01-01
- Description: Yearly mean, standard deviation of yearly mean, and long-term mean (2003-present) of MODIS TIN (peak canopy density). This data covers canopy density for New Hampshire, New York, and Vermont.
- Purpose: Canopy density or ‘greenness’ is estimated using data collected by the MODIS1 satellite mission, and represents the thickness of the forest foliage. MODIS captures bimonthly imagery of Vermont’s forests which are then aggregated across the full growing season. Canopy reflectance at different wavelengths is used to calculate a normalized difference vegetation index (NDVI), which is an assessment of overall greenness of the forest canopy.
- Condensed Title: Z1148_2935_7LA5SC
- Object Name: VMC.1148.2935
- Data Type: mySQL
- Citation: Forest Health Indicators Dashboard MODIS DUR and TIN: MODIS TIN Yearly Mean and STD, 2003-01-01
- Online Distribution: https://vmc.w3.uvm.edu/vmcdevel/data/archive/project/modis/dataset/modis-tin-yearly-mean-std-1
► Attribute List
- Attribute Name: LTMean
- Label: LTMean
- Storage Type: decimal
- Attribute Name: State
- Label: State
- Storage Type: text
- Measurment Type: nominal
- Attribute Name: STD
- Label: STD
- Storage Type: decimal
- Attribute Name: Year
- Label: Year
- Storage Type: int
- Attribute Name: YrMean
- Label: YrMean
- Storage Type: decimal
► Methods
- No methods recorded for this dataset
► Sampling Equipment
- No sampling equipment recorded for this dataset
► Site Characteristics
- No site characteristics recorded for this dataset