|Solar‐induced chlorophyll fluorescence that correlates with canopy photosynthesis on diurnal and seasonal scales in a temperate deciduous forest|
X Yang, J Tang, JF Mustard, JE Lee, M Rossini, J Joiner, JW Munger, ...
Geophysical Research Letters 42 (8), 2977–2987, 2015
|Application of DMSP/OLS nighttime light images: A meta-analysis and a systematic literature review|
Q Huang, X Yang, B Gao, Y Yang, Y Zhao
Remote Sensing 6 (8), 6844-6866, 2014
|Emerging opportunities and challenges in phenology: a review|
J Tang, C Körner, H Muraoka, S Piao, M Shen, SJ Thackeray, X Yang
Ecosphere 7 (8), 2016
|Model-based analysis of the relationship between sun-induced chlorophyll fluorescence and gross primary production for remote sensing applications|
Y Zhang, L Guanter, JA Berry, C van der Tol, X Yang, J Tang, F Zhang
Remote Sensing of Environment 187, 145-155, 2016
|Simulations of chlorophyll fluorescence incorporated into the Community Land Model version 4|
JE Lee, JA Berry, C van der Tol, X Yang, L Guanter, A Damm, I Baker, ...
Global change biology 21 (9), 3469-3477, 2015
|Beyond leaf color: Comparing camera‐based phenological metrics with leaf biochemical, biophysical, and spectral properties throughout the growing season of a temperate …|
X Yang, J Tang, JF Mustard
Journal of Geophysical Research: Biogeosciences 119 (3), 181-191, 2014
|Chlorophyll fluorescence tracks seasonal variations of photosynthesis from leaf to canopy in a temperate forest|
H Yang, X Yang, Y Zhang, MA Heskel, X Lu, JW Munger, S Sun, J Tang
Global Change Biology 23 (7), 2874-2886, 2017
杨曦， 武建军， 闫峰， 张洁
生態學報 29 (3), 1205-1216, 2009
|Regional-scale phenology modeling based on meteorological records and remote sensing observations|
X Yang, JF Mustard, J Tang, H Xu
Journal of Geophysical Research 117 (G3), G03029, 2012
|Earlier-season vegetation has greater temperature sensitivity of spring phenology in Northern Hemisphere|
M Shen, Y Tang, J Chen, X Yang, C Wang, X Cui, Y Yang, L Han, L Li, ...
PloS one 9 (2), e88178, 2014
|Sun‐induced chlorophyll fluorescence, photosynthesis, and light use efficiency of a soybean field from seasonally continuous measurements|
G Miao, K Guan, X Yang, CJ Bernacchi, JA Berry, EH DeLucia, J Wu, ...
Journal of Geophysical Research: Biogeosciences 123 (2), 610-623, 2018
|Sun-induced chlorophyll fluorescence is more strongly related to absorbed light than to photosynthesis at half-hourly resolution in a rice paddy|
K Yang, Y Ryu, B Dechant, JA Berry, Y Hwang, C Jiang, M Kang, J Kim, ...
Remote Sensing of Environment 216, 658-673, 2018
|Seasonal variability of multiple leaf traits captured by leaf spectroscopy at two temperate deciduous forests|
X Yang, J Tang, J Mustard, J Wu, K Zhao, S Serbin, JE Lee
Remote Sensing of Environment 179, 1-12, 2016
|On the relationship between sub-daily instantaneous and daily total gross primary production: Implications for interpreting satellite-based SIF retrievals|
Y Zhang, X Xiao, Y Zhang, S Wolf, S Zhou, J Joiner, L Guanter, M Verma, ...
Remote sensing of environment 205, 276-289, 2018
|Convergence in relationships between leaf traits, spectra and age across diverse canopy environments and two contrasting tropical forests|
J Wu, C Chavana‐Bryant, N Prohaska, SP Serbin, K Guan, LP Albert, ...
New Phytologist 214 (3), 1033-1048, 2017
|Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest|
H Yang, X Yang, M Heskel, S Sun, J Tang
Scientific reports 7 (1), 1-10, 2017
|FluoSpec 2—an automated field spectroscopy system to monitor canopy solar-induced fluorescence|
X Yang, H Shi, A Stovall, K Guan, G Miao, Y Zhang, Y Zhang, X Xiao, ...
Sensors 18 (7), 2063, 2018
|Evaluating the utility of solar-induced chlorophyll fluorescence for drought monitoring by comparison with NDVI derived from wheat canopy|
L Liu, X Yang, H Zhou, S Liu, L Zhou, X Li, J Yang, X Han, J Wu
Science of the Total Environment 625, 1208-1217, 2018
|Evaluating remotely sensed phenological metrics in a dynamic ecosystem model|
H Xu, TE Twine, X Yang
Remote Sensing 6 (6), 4660-4686, 2014
|Tree height explains mortality risk during an intense drought|
AEL Stovall, H Shugart, X Yang
Nature communications 10 (1), 1-6, 2019