Beta version
Beta version
Beta version
Beta version
Datasets present the yearly maps of the start of vegetation active period (VAP) in coniferous forests and deciduous vegetation during 2001-2019 in Finland. The start of the vegetation active period is defined as the day when coniferous trees start to photosynthesize and for deciduous vegetation as the day when trees unfold new leaves in spring. The datasets were derived from satellite observations of the Moderate Resolution Imaging Spectroradiome ...
BorealGreen-upPhenologyVegetationStart of season
| Title: | Vegetation Phenology in Finland |
|---|---|
| Publication Year: | 2020 |
| Description: |
Datasets present the yearly maps of the start of vegetation active period (VAP) in coniferous forests and deciduous vegetation during 2001-2019 in Finland. The start of the vegetation active period is defined as the day when coniferous trees start to photosynthesize and for deciduous vegetation as the day when trees unfold new leaves in spring. The datasets were derived from satellite observations of the Moderate Resolution Imaging Spectroradiometer (MODIS). |
| External links to the project: |
http://metatieto.ymparisto.fi:8080/geoportal/catalog/search/resource/details.page?uuid=%7B31F4499F-5F0F-4500-967B-6C275082A3AD%7D http://metatieto.ymparisto.fi:8080/geoportal/catalog/search/resource/details.page?uuid=%7B45D3F820-DA63-47FE-8ABA-53047CDCEF37%7D https://www.arcgis.com/apps/webappviewer/index.html?id=a446e987496b4d8794b307e882da718a |
| License: | CC BY 4.0 |
| Additional Info: | The products were compared with ground observations. The start of the VAP in coniferous forest was well correlated with the day when the Gross Primary Production (GPP) exceeded 15% of its summer maximum at 3 eddy covariance measurement sites in Finland (R2=0.7). The accuracy was 9 days for the period 2001-2016. The satellite product was in average 3 days late compared to the ground observations. The accuracy was higher (6 days, R2=0.84) and no bias was observed in pine forest compared to spruce forest that showed larger deviations to ground observations. The start of the VAP in deciduous vegetation corresponded well with visual observations of the bud break of birch from the phenological network of the Natural Resource Institute of Finland (Luke). The accuracy was 7 days for the period 2001-2015 based on 84 site-years. The bias was negligible (0.4 days). |
Creator
| Name: | Kristin Böttcher |
|---|---|
| E-mail: | Kristin.Bottcher@ymparisto.fi |
| Organisation: | Finnish Environment Institute |
Contact
| Name: | Kristin Böttcher |
|---|---|
| E-mail: | Kristin.Bottcher@ymparisto.fi |
| Organisation: | Finnish Environment Institute |
Essential Biodiversity Variables (EBVs)
| EBV class | Ecosystem functioning |
|---|---|
| EBV name | Ecosystem phenology |
Metric
| Metric 1 | |
| Name: | Phenology Coniferous |
|---|---|
| Description: | The data set consists of yearly maps of the start of the vegetation active period (VAP) in coniferous forest (Day of Year), which is defined as the day when coniferous trees start to photosynthesize in spring. The data set was derived from Moderate Resolution Imaging Spetroradiometer (MODIS) satellite observation of Fractional Snow Cover. The day when snow cover decreases during spring melt was used as a proxy indicator for the beginning of the start of the vegetation active period. |
| Unit: | Day of year |
| Metric 2 | |
| Name: | Phenology Deciduous |
| Description: | The data set consists of yearly maps of the start of the vegetation active period (VAP) in deciduous vegetation (Day of Year), which is defined as the day when deciduous trees unfold new leaves in spring. It is also often referred to as the green-up or greening day. The data set was derived from time series of the Normalized Difference Water Index (NDWI) calculated from Moderate Resolution Imaging Spetroradiometer (MODIS) satellite observation. |
| Unit: | Day of year |
Spatial domain
| Spatial extent: |
National |
|---|---|
| Spatial description: | Finland |
| Spatial resolution: | 0.05 degree |
Temporal domain
| Temporal resolution: | Yearly |
|---|---|
| Temporal extent: | From 2001 to 2019 |
Biological entity
| Entity type: | Vegetation |
|---|
Environmental domain
| Realm: | Terrestrial |
|---|
| Description: | Moderate Resolution Imaging Spectrometer (MODIS) Terra Level 1B (1 km, 500 m) were manually selected from the Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC). From 2009 onwards data were obtained from the satellite receiving station of the Finnish Meteorological Institute (FMI) in Sodankylä, Finland and gap-filled with data from LAADS DAAC. MODIS Level 1B data were calibrated to top-of-atmosphere reflectances and projected to a geographic latitude/longitude grid (datum WGS-84) using the software envimon by Technical Research Centre of Finland (VTT). Fractional Snow Cover (FSC) and the Normalized Difference Water Index (NDWI) were calculated from MODIS top-of-atmosphere reflectances. Cloud covered observations were removed using an automatic cloud masking algorithm by the Finnish Environment Institute. For the extraction of the start of the VAP in coniferous forest, FSC was averaged at a spatial resolution of 0.05 x 0.05 degrees for the MODIS pixels with dominant coverage of coniferous forest. A sigmoid function was fitted to the averaged FSC-time series and the start of the VAP was determined based on a threshold value. For the extraction of the VAP in deciduous vegetation, daily NDWI time series were averaged for MODIS pixels with vegetation cover into the same spatial grid (0.05 x 0.05 degrees). The day of the VAP was determined from NDWI time series based on a threshold value. The yearly maps of the VAP were smoothed with a median filter to remove spurious outliers and fill spatial gaps. Open water areas were masked. |
|---|
Sources used to generate the data
| Source 1 | |
| Name and version: | MODIS time-series-derived indicators for the beginning of the growing season in boreal coniferous forest — A comparison with CO2 flux measurements and phenological observations in Finland |
|---|---|
| Type: | Description of protocol |
| Access: | Restricted |
| Link: | https://doi.org/10.1016/j.rse.2013.09.022 |
| Reference: | |
| Source 2 | |
| Name and version: | Evaluating biosphere model estimates of the start of the vegetation active season in boreal forests by satellite observations |
| Type: | Dataset |
| Access: | Open |
| Link: | https://doi.org/10.3390/rs8070580 |
| Reference: |
EBV datasets YOU MAY ALSO LIKE
Global data cube on the yearly extent of ecosystems following the habitat classification scheme of the IUCN Red List, used in the assessment of over 100,000 species. This data cube is composed by 65 ecosystem t...
Download Data (netCDF / 4.76GB)
Global habitat availability for 5,090 mammals in 5 year intervals (subset from 2015 to 2055).
Download Data (netCDF / 57.71MB)
Forest loss during the period 2000–2018, defined as a stand-replacement disturbance, or a change from a forest to non-forest state. Data in this layer were generated using multi-spectral satellite imagery fro...
Download Data (netCDF / 47.64MB)
Changes in average local terrestrial diversity for each grid cell caused by land-use, land-use intensity, and human population density, estimated by the PREDICTS model (Purvis et al., 2018). It reports the numb...
Download Data (netCDF / 10.95MB)
We use an existing spatially contiguous, global remote-sensing data product (i.e. the 27-year annual ESA CCI land cover maps which can be categorized as an EBV ‘Ecosystem Distribution’) to derive an annual ...
Download Data (netCDF / 11.9GB)
The modelled suitability for the EUNIS habitat types is an indication of where conditions are favourable for each habitat type based on verified sample plot data (Braun-Blanquet database) and the Maxent softwar...
Download Data (netCDF / 1.73GB)
Mean percentage of global tree canopy cover in the year 2000, defined as canopy closure for all vegetation taller than 5m in height.
Download Data (netCDF / 102.78MB)
Changes in bird diversity at 1-degree resolution caused by land use, estimated by the cSAR model for 1900-2015 using LUH2.0 historical reconstruction of land-use.
Download Data (netCDF / 1.49MB)
© Hansen/UMD/Google/USGS/NASA
No comments posted yet.
Sign in to post a comment for Vegetation Phenology in Finland