Effects of Different Methods on the Comparison between Land Surface and Ground Phenology—A Methodological Case Study from South-Western Germany

Intercomparison of satellite sensor land surface phenology and ground phenology in Europe

(2015) V. F. Rodriguez-Galiano et al.   GEOPHYSICAL RESEARCH LETTERS

Codominant water control on global interannual variability and trends in land surface phenology and greenness

(2015) Matthias Forkel et al.   GLOBAL CHANGE BIOLOGY

Has the advancing onset of spring vegetation green-up slowed down or changed abruptly over the last three decades?

(2015) Xuhui Wang et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Parameterization of temperature sensitivity of spring phenology and its application in explaining diverse phenological responses to temperature change

(2015) Huanjiong Wang et al.   Scientific Reports

Recent spring phenology shifts in western Central Europe based on multiscale observations

(2014) Yongshuo H. Fu et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Remote sensing of spring phenology in northeastern forests: A comparison of methods, field metrics and sources of uncertainty

(2014) Katharine White et al.   REMOTE SENSING OF ENVIRONMENT

Evaluating Remotely Sensed Phenological Metrics in a Dynamic Ecosystem Model

(2014) Hong Xu et al.   Remote Sensing

Deriving land surface phenology indicators from CO2 eddy covariance measurements

(2013) Alemu Gonsamo et al.   ECOLOGICAL INDICATORS

Chilling outweighs photoperiod in preventing precocious spring development

(2013) Julia Laube et al.   GLOBAL CHANGE BIOLOGY

Remote sensing-based quantification of spatial variation in canopy phenology of four dominant tree species in Europe

(2013) Qifei Han   Journal of Applied Remote Sensing

Phenological Metrics Derived over the European Continent from NDVI3g Data and MODIS Time Series

(2013) Clement Atzberger et al.   Remote Sensing

Trends in Spring Phenology of Western European Deciduous Forests

(2013) Eliakim Hamunyela et al.   Remote Sensing

Ecosystem functional units characterized by satellite observed phenology and productivity gradients: A case study for Europe

(2012) E. Ivits et al.   ECOLOGICAL INDICATORS

Linking altitudinal gradients and temperature responses of plant phenology in the Bavarian Alps

(2012) C. Cornelius et al.   PLANT BIOLOGY

Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology

(2012) Peter M. Atkinson et al.   REMOTE SENSING OF ENVIRONMENT

Exploring the Use of MODIS NDVI-Based Phenology Indicators for Classifying Forest General Habitat Categories

(2012) Nicola Clerici et al.   Remote Sensing

Landscape controls on the timing of spring, autumn, and growing season length in mid-Atlantic forests

(2011) Andrew J. Elmore et al.   GLOBAL CHANGE BIOLOGY

An Enhanced TIMESAT Algorithm for Estimating Vegetation Phenology Metrics From MODIS Data

(2010) B Tan et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Influence of spring and autumn phenological transitions on forest ecosystem productivity

(2010) A. D. Richardson et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Field experiments to test the use of the normalized-difference vegetation index for phenology detection

(2009) Shin Nagai et al.   AGRICULTURAL AND FOREST METEOROLOGY

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

Influence of heterogeneous landscapes on computed green-up dates based on daily AVHRR NDVI observations

(2009) Daniel Doktor et al.   REMOTE SENSING OF ENVIRONMENT

Evaluation of the onset of green-up in temperate deciduous broadleaf forests derived from Moderate Resolution Imaging Spectroradiometer (MODIS) data

(2008) Kamel Soudani et al.   REMOTE SENSING OF ENVIRONMENT

Noise reduction of NDVI time series: An empirical comparison of selected techniques

(2008) Jennifer N. Hird et al.   REMOTE SENSING OF ENVIRONMENT

Monitoring the Effects of Forest Restoration Treatments on Post-Fire Vegetation Recovery with MODIS Multitemporal Data

(2008) Willem Van Leeuwen   SENSORS