Vegetation cover dataset of Mongolia from 1990 to 2022.

The study was conducted by the NASA Goddard Space Flight Center (GSFC) and NASA's Arctic-Boreal Vulnerability Experiment. A Normalized Difference Vegetation Index (NDVI) dataset provided by a research team supported by the ABoVE program. The data set is version 3g.v1 in ncf data format. PyCharm...

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Main Authors: li ya wen, Yang Meihuan, Wang Tao
Format: Dataset
Language:English
Published: Science Data Bank 2024
Subjects:
Online Access:https://doi.org/10.57760/sciencedb.agriculture.00118
id ftsciendatabank:10.57760/sciencedb.agriculture.00118
record_format openpolar
spelling ftsciendatabank:10.57760/sciencedb.agriculture.00118 2024-09-30T14:31:04+00:00 Vegetation cover dataset of Mongolia from 1990 to 2022. li ya wen Yang Meihuan Wang Tao 2024-08-03 https://doi.org/10.57760/sciencedb.agriculture.00118 en eng Science Data Bank doi:10.57760/sciencedb.agriculture.00118 PUBLIC https://creativecommons.org/publicdomain/zero/1.0/ Mongolia vegetation coverage spatiotemporal distribution dataset 2024 ftsciendatabank https://doi.org/10.57760/sciencedb.agriculture.00118 2024-09-06T03:12:12Z The study was conducted by the NASA Goddard Space Flight Center (GSFC) and NASA's Arctic-Boreal Vulnerability Experiment. A Normalized Difference Vegetation Index (NDVI) dataset provided by a research team supported by the ABoVE program. The data set is version 3g.v1 in ncf data format. PyCharm was used to extract, crop and define projection data to obtain NDVI data with a spatial range of (41° -53 °N, 87-121 °E), a period of 15d and a resolution of 1/12°. The average value method was used to calculate the monthly value data for the data of 15d. The annual Value data is calculated by Maximum value Compo-sition (MVC).Using the calculated annual maximum fitting data of NDVI, the value that is closest to the cumulative percentage of NDVI "5%" is selected as NDVIsoil and the value that is closest to the cumulative percentage of NDVI "95%" is selected as NDVIveg. Then the pixel scale vegetation coverage in the region was calculated year by year. Dataset Arctic Science Data Bank (ScienceDB) Arctic
institution Open Polar
collection Science Data Bank (ScienceDB)
op_collection_id ftsciendatabank
language English
topic Mongolia
vegetation coverage
spatiotemporal distribution
spellingShingle Mongolia
vegetation coverage
spatiotemporal distribution
li ya wen
Yang Meihuan
Wang Tao
Vegetation cover dataset of Mongolia from 1990 to 2022.
topic_facet Mongolia
vegetation coverage
spatiotemporal distribution
description The study was conducted by the NASA Goddard Space Flight Center (GSFC) and NASA's Arctic-Boreal Vulnerability Experiment. A Normalized Difference Vegetation Index (NDVI) dataset provided by a research team supported by the ABoVE program. The data set is version 3g.v1 in ncf data format. PyCharm was used to extract, crop and define projection data to obtain NDVI data with a spatial range of (41° -53 °N, 87-121 °E), a period of 15d and a resolution of 1/12°. The average value method was used to calculate the monthly value data for the data of 15d. The annual Value data is calculated by Maximum value Compo-sition (MVC).Using the calculated annual maximum fitting data of NDVI, the value that is closest to the cumulative percentage of NDVI "5%" is selected as NDVIsoil and the value that is closest to the cumulative percentage of NDVI "95%" is selected as NDVIveg. Then the pixel scale vegetation coverage in the region was calculated year by year.
format Dataset
author li ya wen
Yang Meihuan
Wang Tao
author_facet li ya wen
Yang Meihuan
Wang Tao
author_sort li ya wen
title Vegetation cover dataset of Mongolia from 1990 to 2022.
title_short Vegetation cover dataset of Mongolia from 1990 to 2022.
title_full Vegetation cover dataset of Mongolia from 1990 to 2022.
title_fullStr Vegetation cover dataset of Mongolia from 1990 to 2022.
title_full_unstemmed Vegetation cover dataset of Mongolia from 1990 to 2022.
title_sort vegetation cover dataset of mongolia from 1990 to 2022.
publisher Science Data Bank
publishDate 2024
url https://doi.org/10.57760/sciencedb.agriculture.00118
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation doi:10.57760/sciencedb.agriculture.00118
op_rights PUBLIC
https://creativecommons.org/publicdomain/zero/1.0/
op_doi https://doi.org/10.57760/sciencedb.agriculture.00118
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