Please use this identifier to cite or link to this item:
https://doi.org/10.3390/rs13051044
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dc.title | Examining relationships between heat requirement of remotely sensed green?up date and meteorological indicators in the hulun buir grassland | |
dc.contributor.author | Guo, Jian | |
dc.contributor.author | Yang, Xiuchun | |
dc.contributor.author | Chen, Fan | |
dc.contributor.author | Niu, Jianming | |
dc.contributor.author | Luo, Sha | |
dc.contributor.author | Zhang, Min | |
dc.contributor.author | Jin, Yunxiang | |
dc.contributor.author | Shen, Ge | |
dc.contributor.author | Chen, Ang | |
dc.contributor.author | Xing, Xiaoyu | |
dc.contributor.author | Yang, Dong | |
dc.contributor.author | Xu, Bin | |
dc.date.accessioned | 2022-10-13T01:13:30Z | |
dc.date.available | 2022-10-13T01:13:30Z | |
dc.date.issued | 2021-03-09 | |
dc.identifier.citation | Guo, Jian, Yang, Xiuchun, Chen, Fan, Niu, Jianming, Luo, Sha, Zhang, Min, Jin, Yunxiang, Shen, Ge, Chen, Ang, Xing, Xiaoyu, Yang, Dong, Xu, Bin (2021-03-09). Examining relationships between heat requirement of remotely sensed green?up date and meteorological indicators in the hulun buir grassland. Remote Sensing 13 (5) : 1044. ScholarBank@NUS Repository. https://doi.org/10.3390/rs13051044 | |
dc.identifier.issn | 2072-4292 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/232825 | |
dc.description.abstract | The accumulation of heat and moderate precipitation are the primary factors that are used by grasslands to trigger a green?up date. The accumulated growing degree?days (AGDD) requirement over the preseason is an important indicator of the response of grassland spring phenology to climate change. This study adopted the Normalized Difference Phenology Index (NDPI), which derived from the Moderate Resolution Imaging Spectroradiometer (MODIS), to extract annual green-up dates in the Hulun Buir grassland in China between 2001–2015. Our analysis indicated that the range (standard deviation) and trend for the green?up date were DOY (day of year) 104 to DOY 144 (10.6 days) and ?2.0 days per decade. Nine point two percent of the study area had significant (p < 0.05) changes in AGDD requirements. The partial correlations between the AGDD requirements and chilling days (67.04%, pixels proportion) were negative and significant (p < 0.05). The partial correlations between the AGDD requirement and precipitation (28.87%) were positive and significant (p < 0.05). Finally, the partial correlation between the AGDD requirement and insolation (97.65%) were positive and significant (p < 0.05). The results of this study could reveal the response of vegetation to climate warming and contribute to improving the phenological mechanism model of different grassland types in future research. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. | |
dc.publisher | MDPI AG | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.source | Scopus OA2021 | |
dc.subject | Accumulated growing degree?days | |
dc.subject | Climate change | |
dc.subject | Grassland | |
dc.subject | Green?up date | |
dc.subject | Hulun Buir | |
dc.subject | Meteorological indi-cators | |
dc.type | Article | |
dc.contributor.department | ELECTRICAL AND COMPUTER ENGINEERING | |
dc.description.doi | 10.3390/rs13051044 | |
dc.description.sourcetitle | Remote Sensing | |
dc.description.volume | 13 | |
dc.description.issue | 5 | |
dc.description.page | 1044 | |
Appears in Collections: | Elements Staff Publications |
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