Lingling Liu
Lingling Liu
Remote Sensing Data Scientist, Stanford University
Verified email at - Homepage
Cited by
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Exploration of scaling effects on coarse resolution land surface phenology
X Zhang, J Wang, F Gao, Y Liu, C Schaaf, M Friedl, Y Yu, S Jayavelu, ...
Remote Sensing of Environment 190, 318-330, 2017
Evaluation of land surface phenology from VIIRS data using time series of PhenoCam imagery
X Zhang, S Jayavelu, L Liu, MA Friedl, GM Henebry, Y Liu, CB Schaaf, ...
Agricultural and Forest Meteorology 256, 137-149, 2018
Generation and evaluation of the VIIRS land surface phenology product
X Zhang, L Liu, Y Liu, S Jayavelu, J Wang, M Moon, GM Henebry, ...
Remote Sensing of Environment 216, 212-229, 2018
Long-term continuity in land surface phenology measurements: A comparative assessment of the MODIS land cover dynamics and VIIRS land surface phenology products
M Moon, X Zhang, GM Henebry, L Liu, JM Gray, EK Melaas, MA Friedl
Remote sensing of environment 226, 74-92, 2019
Evaluating the potential of MODIS satellite data to track temporal dynamics of autumn phenology in a temperate mixed forest
L Liu, L Liang, A Schwartz, Mark D, Donnelly, Z Wang, CB Schaaf, L Liu
Remote Sensing of Environment 160, 156–165, 2015
Comparisons of global land surface seasonality and phenology derived from AVHRR, MODIS, and VIIRS data
X Zhang, L Liu, D Yan
Journal of Geophysical Research: Biogeosciences 122 (6), 1506-1525, 2017
Real-time monitoring of crop phenology in the Midwestern United States using VIIRS observations
L Liu, X Zhang, Y Yu, F Gao, Z Yang
Remote Sensing 10 (10), 1540, 2018
Urbanization imprint on land surface phenology: The urban–rural gradient analysis for Chinese cities
W Jia, S Zhao, X Zhang, S Liu, GM Henebry, L Liu
Global Change Biology 27 (12), 2895-2904, 2021
Characteristics and drivers of global NDVI‐based FPAR from 1982 to 2006
D Peng, B Zhang, L Liu, H Fang, D Chen, Y Hu, L Liu
Global Biogeochemical Cycles 26 (3), 2012
Effects of elevation on spring phenological sensitivity to temperature in Tibetan Plateau grasslands
L Liu, L Liu, L Liang, A Donnelly, I Park, MD Schwartz
Chinese Science Bulletin 59, 4856-4863, 2014
Impacts of land cover and land use change on long-term trend of land surface phenology: a case study in agricultural ecosystems
X Zhang, L Liu, GM Henebry
Environmental Research Letters 14 (4), 044020, 2019
A Landsat-5 atmospheric correction based on MODIS atmosphere products and 6S model
Y Hu, L Liu, L Liu, D Peng, Q Jiao, H Zhang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013
Investigation of land surface phenology detections in shrublands using multiple scale satellite data
D Peng, Y Wang, G Xian, AR Huete, W Huang, M Shen, F Wang, L Yu, ...
Remote Sensing of Environment 252, 112133, 2021
Interspecific and interannual variation in the duration of spring phenophases in a northern mixed forest
A Donnelly, R Yu, A Caffarra, J Hanes, L Liang, AR Desai, L Liu, ...
Agricultural and Forest Meteorology 243, 55-67, 2017
Real-time and short-term predictions of spring phenology in North America from VIIRS data
L Liu, X Zhang, Y Yu, W Guo
Remote Sensing of Environment 194, 89–99, 2017
Effects of temperature variability and extremes on spring phenology across the contiguous United States from 1982 to 2016
L Liu, X Zhang
Scientific Reports 10 (1), 17952, 2020
Interannual Variations in Spring Phenology and Their Response to Climate Change across the Tibetan Plateau from 1982 to 2013
L Liu, X Zhang, A Donnelly, X Liu
International Journal of Biometeorology, 1-13, 2016
Monitoring changes of snow cover, lake and vegetation phenology in Nam Co Lake Basin (Tibetan Plateau) using remote sensing (2000–2009)
B Zhang, Y Wu, L Lei, J Li, L Liu, D Chen, J Wang
Journal of Great Lakes Research 39 (2), 224-233, 2013
Autumn leaf phenology: discrepancies between in situ observations and satellite data at urban and rural sites
A Donnelly, L Liu, X Zhang, A Wingler
International Journal of Remote Sensing 39 (22), 8129-8150, 2018
Detecting spatiotemporal changes of peak foliage coloration in deciduous and mixedforests across the Central and Eastern United States
L Liu, X Zhang, Y Yu, A Donnelly
Environmental Research Letters, 2017
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