Calibrating vegetation phenology from Sentinel-2 using eddy covariance, PhenoCam, and PEP725 networks across Europe

Comparison of Masking Algorithms for Sentinel-2 Imagery

(2021) Viktoria Zekoll et al.   Remote Sensing

Modelling Daily Gross Primary Productivity with Sentinel-2 Data in the Nordic Region–Comparison with Data from MODIS

(2021) Zhanzhang Cai et al.   Remote Sensing

Evaluation of Sentinel-1 & 2 time series for predicting wheat and rapeseed phenological stages

(2020) Audrey Mercier et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery

(2020) Douglas K. Bolton et al.   REMOTE SENSING OF ENVIRONMENT

Understanding the role of phenology and summer physiology in controlling net ecosystem production: a multiscale comparison of satellite, PhenoCam and eddy covariance data

(2020) Ying Liu et al.   Environmental Research Letters

Characterizing spring phenology of temperate broadleaf forests using Landsat and Sentinel-2 time series

(2020) Katja Kowalski et al.   International Journal of Applied Earth Observation and Geoinformation

Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians

(2020) Ewa Grabska et al.   REMOTE SENSING OF ENVIRONMENT

The confounding effect of snow cover on assessing spring phenology from space: A new look at trends on the Tibetan Plateau

(2020) Ke Huang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

New satellite-based estimates show significant trends in spring phenology and complex sensitivities to temperature and precipitation at northern European latitudes

(2019) Hongxiao Jin et al.   INTERNATIONAL JOURNAL OF BIOMETEOROLOGY

Plant phenology and global climate change: current progresses and challenges

(2019) Shilong Piao et al.   GLOBAL CHANGE BIOLOGY

First assessment of the plant phenology index (PPI) for estimating gross primary productivity in African semi-arid ecosystems

(2019) A.M. Abdi et al.   International Journal of Applied Earth Observation and Geoinformation

Trends of land surface phenology derived from passive microwave and optical remote sensing systems and associated drivers across the dry tropics 1992–2012

(2019) Xiaoye Tong et al.   REMOTE SENSING OF ENVIRONMENT

Land surface phenology from VEGETATION and PROBA-V data. Assessment over deciduous forests

(2019) Kevin Bórnez et al.   International Journal of Applied Earth Observation and Geoinformation

Evaluation of land surface phenology from VIIRS data using time series of PhenoCam imagery

(2018) Xiaoyang Zhang et al.   AGRICULTURAL AND FOREST METEOROLOGY

NDVI derived from near-infrared-enabled digital cameras: Applicability across different plant functional types

(2018) Gianluca Filippa et al.   AGRICULTURAL AND FOREST METEOROLOGY

Multidecadal Changes and Interannual Variation in Springtime Phenology of North American Temperate and Boreal Deciduous Forests

(2018) Eli K. Melaas et al.   GEOPHYSICAL RESEARCH LETTERS

Pan European Phenological database (PEP725): a single point of access for European data

(2018) Barbara Templ et al.   INTERNATIONAL JOURNAL OF BIOMETEOROLOGY

Generation and evaluation of the VIIRS land surface phenology product

(2018) Xiaoyang Zhang et al.   REMOTE SENSING OF ENVIRONMENT

Vegetation phenology from Sentinel-2 and field cameras for a Dutch barrier island

(2018) Anton Vrieling et al.   REMOTE SENSING OF ENVIRONMENT

Land surface phenology: What do we really ‘see’ from space?

(2018) David Helman   SCIENCE OF THE TOTAL ENVIRONMENT

A Method for Robust Estimation of Vegetation Seasonality from Landsat and Sentinel-2 Time Series Data

(2018) Per Jönsson et al.   Remote Sensing

Atmospheric Correction Inter-Comparison Exercise

(2018) Georgia Doxani et al.   Remote Sensing

Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery

(2018) Andrew D. Richardson et al.   Scientific Data

Using Near-Infrared-Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree–Grass Ecosystems

(2018) Yunpeng Luo et al.   Remote Sensing

The Harmonized Landsat and Sentinel-2 surface reflectance data set

(2018) Martin Claverie et al.   REMOTE SENSING OF ENVIRONMENT

Contrasting responses of autumn-leaf senescence to daytime and night-time warming

(2018) Chaoyang Wu et al.   Nature Climate Change

Disentangling remotely-sensed plant phenology and snow seasonality at northern Europe using MODIS and the plant phenology index

(2017) Hongxiao Jin et al.   REMOTE SENSING OF ENVIRONMENT

Examination of Sentinel-2A multi-spectral instrument (MSI) reflectance anisotropy and the suitability of a general method to normalize MSI reflectance to nadir BRDF adjusted reflectance

(2017) David P. Roy et al.   REMOTE SENSING OF ENVIRONMENT

Global evaluation of gap-filling approaches for seasonal NDVI with considering vegetation growth trajectory, protection of key point, noise resistance and curve stability

(2017) Ronggao Liu et al.   REMOTE SENSING OF ENVIRONMENT

Exploration of scaling effects on coarse resolution land surface phenology

(2017) Xiaoyang Zhang et al.   REMOTE SENSING OF ENVIRONMENT

Evaluation of the Plant Phenology Index (PPI), NDVI and EVI for Start-of-Season Trend Analysis of the Northern Hemisphere Boreal Zone

(2017) Paulina Karkauskaite et al.   Remote Sensing

Performance of Smoothing Methods for Reconstructing NDVI Time-Series and Estimating Vegetation Phenology from MODIS Data

(2017) Zhanzhang Cai et al.   Remote Sensing

Photoperiod- and temperature-mediated control of phenology in trees - a molecular perspective

(2016) Rajesh Kumar Singh et al.   NEW PHYTOLOGIST

The global Landsat archive: Status, consolidation, and direction

(2016) Michael A. Wulder et al.   REMOTE SENSING OF ENVIRONMENT

Characterization of Landsat-7 to Landsat-8 reflective wavelength and normalized difference vegetation index continuity

(2016) D.P. Roy et al.   REMOTE SENSING OF ENVIRONMENT

Multisite analysis of land surface phenology in North American temperate and boreal deciduous forests from Landsat

(2016) Eli K. Melaas et al.   REMOTE SENSING OF ENVIRONMENT

Three decades of multi-dimensional change in global leaf phenology

(2015) Robert Buitenwerf et al.   Nature Climate Change

A physically based vegetation index for improved monitoring of plant phenology

(2014) Hongxiao Jin et al.   REMOTE SENSING OF ENVIRONMENT

Using FLUXNET data to improve models of springtime vegetation activity onset in forest ecosystems

(2013) Eli K. Melaas et al.   AGRICULTURAL AND FOREST METEOROLOGY

Climate change, phenology, and phenological control of vegetation feedbacks to the climate system

(2012) Andrew D. Richardson et al.   AGRICULTURAL AND FOREST METEOROLOGY

Changes in satellite-derived spring vegetation green-up date and its linkage to climate in China from 1982 to 2010: a multimethod analysis

(2012) Nan Cong et al.   GLOBAL CHANGE BIOLOGY

Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services

(2012) M. Drusch et al.   REMOTE SENSING OF ENVIRONMENT

Phenology shifts at start vs. end of growing season in temperate vegetation over the Northern Hemisphere for the period 1982-2008

(2011) SU-JONG JEONG et al.   GLOBAL CHANGE BIOLOGY

The response of African land surface phenology to large scale climate oscillations

(2010) Molly E. Brown et al.   REMOTE SENSING OF ENVIRONMENT

Land surface phenology from MODIS: Characterization of the Collection 5 global land cover dynamics product

(2010) Sangram Ganguly et al.   REMOTE SENSING OF ENVIRONMENT

Annual changes in MODIS vegetation indices of Swedish coniferous forests in relation to snow dynamics and tree phenology

(2010) A.M. Jönsson et al.   REMOTE SENSING OF ENVIRONMENT

Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982-2006

(2009) MICHAEL A. WHITE et al.   GLOBAL CHANGE BIOLOGY

Multi-temporal MODIS–Landsat data fusion for relative radiometric normalization, gap filling, and prediction of Landsat data

(2008) David P. Roy et al.   REMOTE SENSING OF ENVIRONMENT