DATASET

Global land surface phenology - Start of senescence

Collection: ASAP : Anomaly hot Spots of Agricultural Production 

Description

The satellite- derived phenology is computed on the long-term average of 10-day MODIS NDVI data produced by BOKU University starting from MOD13A2 and MYD13A2 V006 16-DAY Global data at 1 km resolution. Phenology was extracted using the SPIRITS software applied to the historical average of the smoothed NDVI over the period 2003-2016. For each pixel, start of senescence is retrieved, occuring at the time at which NDVI drops below 75% of the descending amplitude of the seasonal profile.

Contact

Email
jrc-asap (at) ec.europa.eu

Contributors

How to cite

Meroni, Michele (2018): Global land surface phenology - Start of senescence. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/jrc-10112-10009

Keywords

Agricultural monitoring ASAP land surface phenology SEN start of senescence

Data access

Start of senescence for the first season
Download 
  • Tiff file containg value V which is expressed over a 3 years period, from 1 to 108 dekads (i.e. ten day periods).

    This is done to be able to treat the circular variable dekad as an ordinal variable. To get the timing T in the 1-36 dekad units (calendar year): i)if value V is smaller or eaual with 36, then T=V, ii) if value V is larger than 36 and smaller or equal with 72, then T= V-36,and iii)if value V is larger than 72, then T=V-72.

Start of senescence for the second season
Download 
  • Tiff file containg value V which is expressed over a 3 years period, from 1 to 108 dekads (i.e. ten day periods).

    This is done to be able to treat the circular variable dekad as an ordinal variable. To get the timing T in the 1-36 dekad units (calendar year): i)if value V is smaller or eaual with 36, then T=V, ii) if value V is larger than 36 and smaller or equal with 72, then T= V-36,and iii)if value V is larger than 72, then T=V-72.

Publications

Publication
ASAP: A new global early warning system to detect anomaly hot spots of agricultural production for food security analysis

Geographic areas

World

Additional information

Published by
European Commission, Joint Research Centre
Created date
2018-12-14
Modified date
2018-12-20
Issued date
2018-09-26
Landing page
https://mars.jrc.ec.europa.eu/asap/download.php 
Language(s)
English
Data theme(s)
Agriculture, fisheries, forestry and food, Science and technology
Update frequency
irregular
Identifier
http://data.europa.eu/89h/jrc-10112-10009
Popularity