Forest Health Indicators Dashboard MODIS DUR and TIN: MODIS DUR Yearly Mean and STD
Download MetadataView Metadata in XML Format
► 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 DUR Yearly Mean and STD
- Start Date: 2003-01-01
- Description: Yearly mean, standard deviation of the yearly mean, and long-term mean (2003-present) for MODIS DUR (duration of the growing season). This dataset includes growing season estimates for New Hampshire, New York, and Vermont.
- Purpose: The length of the growing season varies from year to year based on spring and fall temperatures. Increases in the length of growing season can benefit some species by providing extra time for growth and reproduction, but can cause harm to others by increasing heat, water, and metabolic stress1. Ideally, a healthy forest would have a growing season that remains relatively consistent.
- Condensed Title: Z1148_2934_8ZY3QM
- Object Name: VMC.1148.2934
- Data Type: mySQL
- Citation: Forest Health Indicators Dashboard MODIS DUR and TIN: MODIS DUR Yearly Mean and STD, 2003-01-01
- Online Distribution: https://vmc.w3.uvm.edu/vmcdevel/data/archive/project/modis/dataset/modis-dur-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