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Dongdong Kong
Dongdong Kong
China University of Geosciences (Wuhan)
Verified email at mail2.sysu.edu.cn - Homepage
Title
Cited by
Cited by
Year
Coupled estimation of 500 m and 8-day resolution global evapotranspiration and gross primary production in 2002–2017
Y Zhang, D Kong, R Gan, FHS Chiew, TR McVicar, Q Zhang, Y Yang
Remote Sensing of Environment 222, 165-182, 2019
4492019
Response of vegetation to different time-scales drought across China: Spatiotemporal patterns, causes and implications
Q Zhang, D Kong, VP Singh, P Shi
Global and Planetary Change 152, 1-11, 2017
2042017
Vegetation phenology on the Qinghai-Tibetan Plateau and its response to climate change (1982–2013)
Q Zhang, D Kong, P Shi, VP Singh, P Sun
Agricultural and Forest Meteorology 248, 408-417, 2018
1692018
Seasonal vegetation response to climate change in the Northern Hemisphere (1982–2013)
D Kong, Q Zhang, VP Singh, P Shi
Global and Planetary Change 148, 1-8, 2017
1672017
Spatiotemporal behavior of floods and droughts and their impacts on agriculture in China
Q Zhang, X Gu, VP Singh, D Kong, X Chen
Global and Planetary Change 131, 63-72, 2015
1322015
A robust method for reconstructing global MODIS EVI time series on the Google Earth Engine
D Kong, Y Zhang, X Gu, D Wang
ISPRS Journal of Photogrammetry and Remote Sensing 155, 13-24, 2019
1102019
Greater flood risks in response to slowdown of tropical cyclones over the coast of China
Y Lai, J Li, X Gu, YD Chen, D Kong, TY Gan, M Liu, Q Li, G Wu
Proceedings of the National Academy of Sciences 117 (26), 14751-14755, 2020
722020
Contributions of global warming and urbanization to the intensification of human‐perceived heatwaves over China
D Kong, X Gu, J Li, G Ren, J Liu
Journal of Geophysical Research: Atmospheres 125 (18), e2019JD032175, 2020
612020
Can remotely sensed actual evapotranspiration facilitate hydrological prediction in ungauged regions without runoff calibration?
Y Zhang, FHS Chiew, C Liu, Q Tang, J Xia, J Tian, D Kong, C Li
Water Resources Research 56 (1), e2019WR026236, 2020
612020
Homogenization of precipitation and flow regimes across China: Changing properties, causes and implications
Q Zhang, X Gu, VP Singh, CY Xu, D Kong, M Xiao, X Chen
Journal of Hydrology 530, 462-475, 2015
612015
Impacts of ENSO and ENSO Modoki+ A regimes on seasonal precipitation variations and possible underlying causes in the Huai River basin, China
Q Zhang, Y Wang, VP Singh, X Gu, D Kong, M Xiao
Journal of Hydrology 533, 308-319, 2016
602016
Magnitude, frequency and timing of floods in the Tarim River basin, China: Changes, causes and implications
Q Zhang, X Gu, VP Singh, P Sun, X Chen, D Kong
Global and Planetary Change 139, 44-55, 2016
542016
Flood-induced agricultural loss across China and impacts from climate indices
Q Zhang, X Gu, VP Singh, L Liu, D Kong
Global and Planetary Change 139, 31-43, 2016
512016
Response of global land evapotranspiration to climate change, elevated CO2, and land use change
J Liu, Y You, J Li, S Sitch, X Gu, JEMS Nabel, D Lombardozzi, M Luo, ...
Agricultural and Forest Meteorology 311, 108663, 2021
482021
LUCC‐Driven Changes in Gross Primary Production and Actual Evapotranspiration in Northern China
C Li, Y Zhang, Y Shen, D Kong, X Zhou
Journal of Geophysical Research: Atmospheres 125 (6), e2019JD031705, 2020
432020
1982-2013 年青藏高原植被物候变化及气象因素影响
孔冬冬, 张强, 黄文琳, 顾西辉
地理学报 72 (1), 39-52, 2017
372017
Photoperiod explains the asynchronization between vegetation carbon phenology and vegetation greenness phenology
D Kong, Y Zhang, D Wang, J Chen, X Gu
Journal of Geophysical Research: Biogeosciences 125 (8), e2020JG005636, 2020
312020
Consistency and Discrepancy of Global Surface Soil Moisture Changes From Multiple Model‐Based Data Sets Against Satellite Observations
X Gu, J Li, YD Chen, D Kong, J Liu
Journal of Geophysical Research: Atmospheres 124 (3), 1474-1495, 2019
302019
A daily and 500 m coupled evapotranspiration and gross primary production product across China during 2000–2020
S He, Y Zhang, N Ma, J Tian, D Kong, C Liu
Earth System Science Data 14 (12), 5463-5488, 2022
282022
phenofit: An R package for extracting vegetation phenology from time series remote sensing
D Kong, TR McVicar, M Xiao, Y Zhang, JL Peņa‐Arancibia, G Filippa, ...
Methods in Ecology and Evolution 13 (7), 1508-1527, 2022
282022
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