author

id 10920
versionID 1.1.1
basedataset
datasetid 0
version 1.0.0
title Phenology: number of seasons averaged from 2003-2016 with 1km resolution (raster)
owners
owner1
name1 Jie_Zhang
projectName1 WP9
institute1 Julius-Maximilians-Universitaet Wuerzburg (UWUE)
email1 jie.zhang@uni-wuerzburg.de
summary
abstract This raster represents the number of grow season (1 or 2) in the 5 east Africa countries
methodology The mean growing season period is defined by a satellite-derived phenology computed on the long-term average of 10-day MODIS NDVI data.

keywordlist

keywords
keyword1 unstructured data
keyword2 phenology
keyword3 grow season

time

timeRange
timeFormat yyyy
startDate 2020
endDate 2022
publishingDate 2026
dateEntry 2022-07-13
dateLastModified 2026-05-19

spatial

extent
minY -11.745695
minX 28.861708
maxY 14.899958
maxX 47.986179
resolution 1000

data

fileName
datasetType unstructuredData
qualityLevel validated
dataStructure
dataFormat
fileFormat Image
delimiter tab
decimalCharacter .
header
headerRowNO 1
unitRowNO 0
dataRowNO 2
matrix
columnName
columnStartCell
rowName
rowStartCell
contentType
dataUnit
valueStartCell
variables
variableName typeOfVariable unit description accuracy
1 NumOfSeasons integerNumber 1 or 2 calculation

references

doi https://doi.org/10.5281/zenodo.20281974
databases
database1 https://mars.jrc.ec.europa.eu/asap/download.php
papers
paper1
Upscale Project Database
EU logo

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 861998.

Administration Office

Department of Animal Ecology
Justus-Liebig University Giessen
Heinrich-Buff-Ring 26-32
35392 Giessen, Germany
 

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