Phenology on eLTER Sites

A quick search for phenology shows this only one result:

Phenology

Phenology on eLTER Sites

eLTER sites & Phenocams

20 sites contains phenocams:

20 sites contains phenocams:

• All LTSER sites
• Add new sites is fast for GEE datasets (MODIS), but Sentinel 2 data have to be calculated for them

rdiaz@ebd.csic.es

diegogarcia@ebd.csic.es

The aim of PhenoApp is both:

• To Provide SOVs data from EO products

• To collect and validate EO products with your in situ data.

The Form accepts data through file upload (according to a provided template) or single year data values for SOS, MOS, EOS.

Phenology

Phenology is the study of periodic events in biological life cycles and how these are influenced by seasonal and interannual variations in climate, as well as habitat factors (Merriam-Webster. 2020.).

Phenology. Datasets

PhenoPy

PhenoPy is a python library developed by Javier Lopatin to generate phenometrics from a vegetation index time series of satelllite data.

It  Generates svereal bands with the DOY and the vegetation index values of the record.

• Not GEE tool
• Process locally
• Process slow
• 1 cycle per season

• Can be applied to any satellite collection
• Easy to integrate in the python process
• Lots of bands with phenological info (DOY and Value)

High Resolution Vegetation Phenology and Productivity Parameters. Copernicus Land Monitoring Service (CLMS)

The Vegetation Phenology and Productivity Parameters (VPPs) are yearly metrics that are derived from the Seasonal Trajectories. The VPPs are produced up to 2 seasons.

• Not GEE collection
• Available since 2017 (wekeo)

• 10 m Spatial Resolution
• Python script to get the data for eLTER sites

Phenology. Datasets

https://www.wekeo.eu/wekeo.eu

MODIS MCD12Q2.006. Land Cover Dynamics Yearly Global 500m

The MCD12Q2 V6 Land Cover Dynamics product (informally called the MODIS Global Vegetation Phenology product) provides estimates of the timing of vegetation phenology at global scales. Additionally, it provides information related to the range and summation of the enhanced vegetation index (EVI) computed from MODIS surface reflectance data at each pixel. 

• Lots of NoData!
• 500 m spatial resolution

• Available since 2001
• GEE collection

Phenology. Datasets

PhenoApp

• Google Earth Engine
• Geemap
• Ndvi2Gif

Google Earth Engine

• Cloud computing to visualize and process geographic information
• Petabytes of data (lots of satellite/sensors)
• Raster data (Land cover, climatic data, etc...)
• Vectorial data
• Use your own datasets (space limitation)
• Hundreds of algorithms available
• Huge community very active
• Design local run global

Geemap

Python package based in Google Earth Engine python API  and Map application Leaflet

https://www.youtube.com/c/Qiushengwu

Ndvi2Gif

Python packaged built upon Geemap to work with seasonal vegetation indexes by getting pixel statistics for periods of time

Let's see the tool

To Do List

Thanks for your attention