Shifts of phenology parameters ( b : regression coefficient and R 2 : coefficient of determination) based on MODIS, AVHRR and VGT on the Yamal and each subzone
Table 2. Shifts of phenology parameters ( b : regression coefficient and R 2 : coefficient of determination) based on MODIS, AVHRR and VGT on the Yamal and each subzone. Significant correlations ( p Abstract There is an urgent need to reduce the uncertainties in remotely sensed detection of phenolog...
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ftdatacite:10.6084/m9.figshare.1011844 2023-05-15T15:07:32+02:00 Shifts of phenology parameters ( b : regression coefficient and R 2 : coefficient of determination) based on MODIS, AVHRR and VGT on the Yamal and each subzone Heqing Zeng Gensuo Jia Forbes, Bruce C 2013 https://dx.doi.org/10.6084/m9.figshare.1011844 https://iop.figshare.com/articles/dataset/___Shifts_of_phenology_parameters_em_b_em_regression_coefficient_and_em_R_em_sup_2_sup_coefficient_o/1011844 unknown IOP Publishing Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Environmental Science dataset Dataset 2013 ftdatacite https://doi.org/10.6084/m9.figshare.1011844 2021-11-05T12:55:41Z Table 2. Shifts of phenology parameters ( b : regression coefficient and R 2 : coefficient of determination) based on MODIS, AVHRR and VGT on the Yamal and each subzone. Significant correlations ( p Abstract There is an urgent need to reduce the uncertainties in remotely sensed detection of phenological shifts of high latitude ecosystems in response to climate changes in past decades. In this study, vegetation phenology in western Arctic Russia (the Yamal Peninsula) was investigated by analyzing and comparing Normalized Difference Vegetation Index (NDVI) time series derived from the Advanced Very High Resolution Radiometer (AVHRR), the Moderate Resolution Imaging Spectroradiometer (MODIS), and SPOT-Vegetation (VGT) during the decade 2000–2010. The spatial patterns of key phenological parameters were highly heterogeneous along the latitudinal gradients based on multi-satellite data. There was earlier SOS (start of the growing season), later EOS (end of the growing season), longer LOS (length of the growing season), and greater MaxNDVI from north to south in the region. The results based on MODIS and VGT data showed similar trends in phenological changes from 2000 to 2010, while quite a different trend was found based on AVHRR data from 2000 to 2008. A significantly delayed EOS ( p Dataset Arctic Yamal Peninsula DataCite Metadata Store (German National Library of Science and Technology) Arctic Yamal Peninsula ENVELOPE(69.873,69.873,70.816,70.816) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Environmental Science |
spellingShingle |
Environmental Science Heqing Zeng Gensuo Jia Forbes, Bruce C Shifts of phenology parameters ( b : regression coefficient and R 2 : coefficient of determination) based on MODIS, AVHRR and VGT on the Yamal and each subzone |
topic_facet |
Environmental Science |
description |
Table 2. Shifts of phenology parameters ( b : regression coefficient and R 2 : coefficient of determination) based on MODIS, AVHRR and VGT on the Yamal and each subzone. Significant correlations ( p Abstract There is an urgent need to reduce the uncertainties in remotely sensed detection of phenological shifts of high latitude ecosystems in response to climate changes in past decades. In this study, vegetation phenology in western Arctic Russia (the Yamal Peninsula) was investigated by analyzing and comparing Normalized Difference Vegetation Index (NDVI) time series derived from the Advanced Very High Resolution Radiometer (AVHRR), the Moderate Resolution Imaging Spectroradiometer (MODIS), and SPOT-Vegetation (VGT) during the decade 2000–2010. The spatial patterns of key phenological parameters were highly heterogeneous along the latitudinal gradients based on multi-satellite data. There was earlier SOS (start of the growing season), later EOS (end of the growing season), longer LOS (length of the growing season), and greater MaxNDVI from north to south in the region. The results based on MODIS and VGT data showed similar trends in phenological changes from 2000 to 2010, while quite a different trend was found based on AVHRR data from 2000 to 2008. A significantly delayed EOS ( p |
format |
Dataset |
author |
Heqing Zeng Gensuo Jia Forbes, Bruce C |
author_facet |
Heqing Zeng Gensuo Jia Forbes, Bruce C |
author_sort |
Heqing Zeng |
title |
Shifts of phenology parameters ( b : regression coefficient and R 2 : coefficient of determination) based on MODIS, AVHRR and VGT on the Yamal and each subzone |
title_short |
Shifts of phenology parameters ( b : regression coefficient and R 2 : coefficient of determination) based on MODIS, AVHRR and VGT on the Yamal and each subzone |
title_full |
Shifts of phenology parameters ( b : regression coefficient and R 2 : coefficient of determination) based on MODIS, AVHRR and VGT on the Yamal and each subzone |
title_fullStr |
Shifts of phenology parameters ( b : regression coefficient and R 2 : coefficient of determination) based on MODIS, AVHRR and VGT on the Yamal and each subzone |
title_full_unstemmed |
Shifts of phenology parameters ( b : regression coefficient and R 2 : coefficient of determination) based on MODIS, AVHRR and VGT on the Yamal and each subzone |
title_sort |
shifts of phenology parameters ( b : regression coefficient and r 2 : coefficient of determination) based on modis, avhrr and vgt on the yamal and each subzone |
publisher |
IOP Publishing |
publishDate |
2013 |
url |
https://dx.doi.org/10.6084/m9.figshare.1011844 https://iop.figshare.com/articles/dataset/___Shifts_of_phenology_parameters_em_b_em_regression_coefficient_and_em_R_em_sup_2_sup_coefficient_o/1011844 |
long_lat |
ENVELOPE(69.873,69.873,70.816,70.816) |
geographic |
Arctic Yamal Peninsula |
geographic_facet |
Arctic Yamal Peninsula |
genre |
Arctic Yamal Peninsula |
genre_facet |
Arctic Yamal Peninsula |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.6084/m9.figshare.1011844 |
_version_ |
1766339020083691520 |