Modeling vegetation green-up dates across the Tibetan Plateau by including both seasonal and daily temperature and precipitation-Reference-Cited by-同舟云学术

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Modeling vegetation green-up dates across the Tibetan Plateau by including both seasonal and daily temperature and precipitation

Published:2018-02 Issue: Volume:249 Page:176-186
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Cao Ruyin,Shen Miaogen,Zhou Ji,Chen Jin

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Key Research Program of Frontier Sciences of Chinese Academy of Sciences

Publisher

Elsevier BV

Subject

Atmospheric Science,Agronomy and Crop Science,Global and Planetary Change,Forestry

Reference58 articles.

1. A global prognostic scheme of leaf onset using satellite data;Botta;Global Change Biol.,2000

2. An improved logistic method for detecting spring vegetation phenology in grasslands from MODIS EVI time-series data;Cao;Agric. For. Meteorol.,2015

3. Improving land surface temperature modeling for dry land of China;Chen;J. Geophys. Res.,2011

4. Modeling greenup date of dominant grass species in the Inner Mongolian Grassland using air temperature and precipitation data;Chen;Int. J. Biometeorol.,2014

5. Temperature and snowfall trigger alpine vegetation green-up on the world’s roof;Chen;Global Change Biol.,2015

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1. Vegetation Influences on Cloud Cover in Typical Plain and Plateau Regions of Eurasia: 2001–2021;Remote Sensing;2024-06-07

2. An Improved Growing Season Index Including the Maximum Temperature and Precipitation to Predict Foliar Phenology of Alpine Grasslands on the Qinghai–Tibetan Plateau;2024

3. Decoupling the response of vegetation dynamics to asymmetric warming over the Qinghai-Tibet plateau from 2001 to 2020;Journal of Environmental Management;2023-12

4. Differential effects of climatic and non-climatic factors on the distribution of vegetation phenology trends on the Tibetan plateau;Heliyon;2023-10

5. Hierarchical extraction of cropland boundaries using Sentinel-2 time-series data in fragmented agricultural landscapes;Computers and Electronics in Agriculture;2023-09

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