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Li, X.Y.[Xiang-Yuan],
Spatial Heterogeneity of Combined Factors Affecting Vegetation
Greenness Change in the Yangtze River Economic Belt from 2000 to 2020,
RS(15), No. 24, 2023, pp. 5693.
DOI Link
2401
BibRef
An, S.[Shuai],
Zhang, X.Y.[Xiao-Yang],
Ren, S.[Shilong],
Spatial Difference between Temperature and Snowfall Driven Spring
Phenology of Alpine Grassland Land Surface Based on Process-Based
Modeling on the Qinghai-Tibet Plateau,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link
2203
BibRef
Bai, Y.[Yan],
Zhu, Y.Q.[Yun-Qiang],
Liu, Y.Z.[Ying-Zhen],
Wang, S.[Shu],
Vegetation Greening and Its Response to a Warmer and Wetter Climate
in the Yellow River Basin from 2000 to 2020,
RS(16), No. 5, 2024, pp. 790.
DOI Link
2403
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Diao, C.Y.[Chun-Yuan],
Augspurger, C.K.[Carol K.],
Zhao, Y.L.[Yi-Lun],
Salk, C.F.[Carl F.],
A satellite-field phenological bridging framework for characterizing
community-level spring forest phenology using multi-scale satellite
imagery,
PandRS(211), 2024, pp. 83-103.
Elsevier DOI
2405
Spring phenology, Forest community, Remote sensing,
Field observations, Phenological indicator
BibRef
Yang, F.[Fan],
Liu, C.[Chao],
Chen, Q.Q.[Qian-Qian],
Lai, J.B.[Jian-Bin],
Liu, T.[Tiegang],
Earlier Spring-Summer Phenology and Higher Photosynthetic Peak
Altered the Seasonal Patterns of Vegetation Productivity in Alpine
Ecosystems,
RS(16), No. 9, 2024, pp. 1580.
DOI Link
2405
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Li, X.[Xia],
Pan, Y.J.[Yong-Jie],
The Impacts of Drought Changes on Alpine Vegetation during the
Growing Season over the Tibetan Plateau in 1982-2018,
RS(16), No. 11, 2024, pp. 1909.
DOI Link
2406
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Xu, J.F.[Jun-Feng],
Wu, T.[Ting],
Peng, D.[Dailiang],
Fu, X.[Xuewei],
Yan, K.[Kai],
Lou, Z.H.[Zi-Hang],
Zhang, X.Y.[Xiao-Yang],
Matching Spring Phenology Indicators in Ground Observations and
Remote-Sensing Metrics,
RS(16), No. 13, 2024, pp. 2309.
DOI Link
2407
BibRef
Mirzaei, S.[Saham],
Pascucci, S.[Simone],
Carfora, M.F.[Maria Francesca],
Casa, R.[Raffaele],
Rossi, F.[Francesco],
Santini, F.[Federico],
Palombo, A.[Angelo],
Laneve, G.[Giovanni],
Pignatti, S.[Stefano],
Early-Season Crop Mapping by PRISMA Images Using Machine/Deep
Learning Approaches: Italy and Iran Test Cases,
RS(16), No. 13, 2024, pp. 2431.
DOI Link
2407
BibRef
Jiménez, J.C.[Juan Carlos],
Miranda, V.[Vitor],
Trigo, I.[Isabel],
Libonati, R.[Renata],
Albuquerque, R.[Ronaldo],
Peres, L.F.[Leonardo F.],
Espinoza, J.C.[Jhan-Carlo],
Marengo, J.A.[José Antonio],
Vegetation Warming and Greenness Decline across Amazonia during the
Extreme Drought of 2023,
RS(16), No. 14, 2024, pp. 2519.
DOI Link
2408
BibRef
Xu, C.[Chi],
Zhang, Z.J.[Zhi-Jie],
Fu, Z.H.[Zheng-Hui],
Xiong, S.[Shenqing],
Chen, H.[Hao],
Zhang, W.[Wanchang],
Wang, S.[Shuhang],
Zhang, D.H.[Dong-Hui],
Lu, H.[Heng],
Jiang, X.[Xia],
Impacts of Climatic Fluctuations and Vegetation Greening on Regional
Hydrological Processes: A Case Study in the Xiaoxinganling
Mountains-Sanjiang Plain Region, Northeastern China,
RS(16), No. 15, 2024, pp. 2709.
DOI Link
2408
BibRef
Zhou, Q.[Qu],
Guan, K.Y.[Kai-Yu],
Wang, S.[Sheng],
Hipple, J.[James],
Chen, Z.[Zhangliang],
From satellite-based phenological metrics to crop planting dates:
Deriving field-level planting dates for corn and soybean in the U.S.
Midwest,
PandRS(216), 2024, pp. 259-273.
Elsevier DOI
2408
Planting Dates, Phenology, Required Growing Degree Days,
Corn and Soybean, U.S. Midwest, Harmonized Landsat and Sentinel-2
BibRef
Deng, B.[Bowen],
Liu, C.[Chenli],
Zhang, E.[Enwei],
He, M.J.[Meng-Jiao],
Li, Y.W.[Ya-Wen],
Duan, X.[Xingwu],
Satellite Observations Reveal Northward Vegetation Greenness Shifts
in the Greater Mekong Subregion over the Past 23 Years,
RS(16), No. 17, 2024, pp. 3302.
DOI Link
2409
BibRef
Jin, K.[Kai],
Jin, Y.S.[Yan-Song],
Li, C.[Cuijin],
Li, L.[Lin],
Spatial and Temporal Dynamics in Vegetation Greenness and Its
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DOI Link
2410
BibRef
Gao, X.Y.[Xin-Yue],
Tao, Z.X.[Ze-Xing],
Dai, J.[Junhu],
Effects of Extreme Climatic Events on the Autumn Phenology in
Northern China Are Related to Vegetation Types and Background
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RS(16), No. 19, 2024, pp. 3724.
DOI Link
2410
BibRef
Dong, K.[Kangbo],
Wang, X.Y.[Xiao-Yue],
Disentangling the Effects of Atmospheric and Soil Dryness on Autumn
Phenology across the Northern Hemisphere,
RS(16), No. 19, 2024, pp. 3552.
DOI Link
2410
BibRef
Pan, L.[Li],
Xiao, X.M.[Xiang-Ming],
Xia, H.M.[Hao-Ming],
Ma, X.Y.[Xiao-Yan],
Xie, Y.H.[Yan-Hua],
Pan, B.[Baihong],
Qin, Y.[Yuanwei],
Time series sUAV data reveal moderate accuracy and large
uncertainties in spring phenology metric of deciduous broadleaf
forest as estimated by vegetation index-based phenological models,
PandRS(218), 2024, pp. 339-351.
Elsevier DOI
2412
Spring phenology, Unmanned Aerial Vehicle (UAV), Multi-sensor,
Phenology uncertainty, Vegetation phenology models
BibRef
Yu, M.[Meng],
Cao, Y.F.[Yun-Feng],
Tian, J.X.[Jia-Xin],
Ren, B.[Boyu],
Increased Contribution of Extended Vegetation Growing Season to
Boreal Terrestrial Ecosystem GPP Enhancement,
RS(17), No. 1, 2025, pp. 83.
DOI Link
2501
BibRef
Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Drought Monitoring, Drought Analysis, Meterological Drought .