Dataset Open Access
Ioannis Manakos; Georgios Kordelas; Kalliroi Marini; Georgios Chantziaras
{ "publisher": "Zenodo", "DOI": "10.5281/zenodo.3403798", "language": "eng", "title": "Phenology metric layers and their classification layers for the NDVI approximated phenological cycle of Donana from 01/12/2015 to 31/11/2016.", "issued": { "date-parts": [ [ 2019, 9, 10 ] ] }, "abstract": "<p>Analysis of changes in the phenological cycle of different plant species provide important information that may be used to assess the impact of seasonal and inter-annual climate variations on terrestrial vegetation. Phenex software has been used for estimating phenology related layers for Donana marshes relying on NDVI time series covering one year period from 01/12/2015 to 31/11/2016.</p>\n\n<p>“Phenology_metrics_layer_Dec2015_Nov2016.tif” includes the following layers: (i) green up day, (ii) senescence day, (iii) day of max NDVI value, and (iv) total number of NDVI peaks. These layers are also provided separately with the names: “Greenup_day_Dec2015_Nov2016.tif”, “Senescence_day_Dec2015_Nov2016.tif”, “Max_day_Dec2015_Nov2016.tif”, “Number_of_peaks_Dec2015_Nov2016.tif”.</p>\n\n<p>Classification layers based on these layers have been also generated. In particular, "ISODATA_classification_all_input_layers_Dec2015_Nov2016.tif" layer contains the classes generated when providing all phenology related layers as input to the ISODATA algorithm, while "ISODATA_classification_three_input_layers_Dec2015_Nov2016.tif" layer contains contains the classes generated when providing three penology related layers (i.e. greenup day, day of max NDVI value, senescence day layers) as input to the ISODATA algorithm.</p>\n\n<p>The above files are accompanied by INSPIRE metadata XML files. Detailed information can be found in the “Readme.pdf” included in the zip containing the dataset.</p>\n\n<p> </p>", "author": [ { "family": "Ioannis Manakos" }, { "family": "Georgios Kordelas" }, { "family": "Kalliroi Marini" }, { "family": "Georgios Chantziaras" } ], "type": "dataset", "id": "3403798" }
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