Near-Surface and High-Resolution Satellite Time Series for Detecting Crop Phenology

Satellite prediction of forest flowering phenology

(2021) Dan J. Dixon et al.   REMOTE SENSING OF ENVIRONMENT

Hybrid phenology matching model for robust crop phenological retrieval

(2021) Chunyuan Diao et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Multiscale assessment of land surface phenology from harmonized Landsat 8 and Sentinel-2, PlanetScope, and PhenoCam imagery

(2021) Minkyu Moon et al.   REMOTE SENSING OF ENVIRONMENT

Towards Routine Mapping of Crop Emergence within the Season Using the Harmonized Landsat and Sentinel-2 Dataset

(2021) Feng Gao et al.   Remote Sensing

A within-season approach for detecting early growth stages in corn and soybean using high temporal and spatial resolution imagery

(2020) Feng Gao et al.   REMOTE SENSING OF ENVIRONMENT

Remote sensing phenological monitoring framework to characterize corn and soybean physiological growing stages

(2020) Chunyuan Diao   REMOTE SENSING OF ENVIRONMENT

Phenology of short vegetation cycles in a Kenyan rangeland from PlanetScope and Sentinel-2

(2020) Yan Cheng et al.   REMOTE SENSING OF ENVIRONMENT

Multi-scale integration of satellite remote sensing improves characterization of dry-season green-up in an Amazon tropical evergreen forest

(2020) Jing Wang et al.   REMOTE SENSING OF ENVIRONMENT

Evaluation of VEGETATION and PROBA-V Phenology Using PhenoCam and Eddy Covariance Data

(2020) Kevin Bórnez et al.   Remote Sensing

Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations

(2020) Shengbiao Wu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Fusion of Sentinel-2 and PlanetScope time-series data into daily 3 m surface reflectance and wheat LAI monitoring

(2020) Yuval Sadeh et al.   International Journal of Applied Earth Observation and Geoinformation

Plant phenology and global climate change: current progresses and challenges

(2019) Shilong Piao et al.   GLOBAL CHANGE BIOLOGY

Sowing date detection at the field scale using CubeSats remote sensing

(2019) Yuval Sadeh et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Innovative pheno-network model in estimating crop phenological stages with satellite time series

(2019) Chunyuan Diao   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Complex network-based time series remote sensing model in monitoring the fall foliage transition date for peak coloration

(2019) Chunyuan Diao   REMOTE SENSING OF ENVIRONMENT

The Optimal Threshold and Vegetation Index Time Series for Retrieving Crop Phenology Based on a Modified Dynamic Threshold Method

(2019) Huang et al.   Remote Sensing

Assessing the Impact of Satellite Revisit Rate on Estimation of Corn Phenological Transition Timing through Shape Model Fitting

(2019) Emily Myers et al.   Remote Sensing

Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset

(2019) Bijan Seyednasrollah et al.   Scientific Data

A review of vegetation phenological metrics extraction using time-series, multispectral satellite data

(2019) Linglin Zeng et al.   REMOTE SENSING OF ENVIRONMENT

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

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

Constellation Phasing with Differential Drag on Planet Labs Satellites

(2018) Cyrus Foster et al.   JOURNAL OF SPACECRAFT AND ROCKETS

A Cubesat enabled Spatio-Temporal Enhancement Method (CESTEM) utilizing Planet, Landsat and MODIS data

(2018) Rasmus Houborg et al.   REMOTE SENSING OF ENVIRONMENT

Intercomparison of phenological transition dates derived from the PhenoCam Dataset V1.0 and MODIS satellite remote sensing

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

Daily Retrieval of NDVI and LAI at 3 m Resolution via the Fusion of CubeSat, Landsat, and MODIS Data

(2018) Rasmus Houborg et al.   Remote Sensing

Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery

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

Tracking seasonal rhythms of plants in diverse ecosystems with digital camera imagery

(2018) Andrew D. Richardson   NEW PHYTOLOGIST

Monitoring crop phenology using a smartphone based near-surface remote sensing approach

(2018) Koen Hufkens et al.   AGRICULTURAL AND FOREST METEOROLOGY

Phenology from Landsat when data is scarce: Using MODIS and Dynamic Time-Warping to combine multi-year Landsat imagery to derive annual phenology curves

(2017) Matthias Baumann et al.   International Journal of Applied Earth Observation and Geoinformation

Toward mapping crop progress at field scales through fusion of Landsat and MODIS imagery

(2017) Feng Gao et al.   REMOTE SENSING OF ENVIRONMENT

Observing Spring and Fall Phenology in a Deciduous Forest with Aerial Drone Imagery

(2017) Stephen Klosterman et al.   SENSORS

Phenocams Bridge the Gap between Field and Satellite Observations in an Arid Grassland Ecosystem

(2017) Dawn Browning et al.   Remote Sensing

Using phenocams to monitor our changing Earth: toward a global phenocam network

(2016) Tim B Brown et al.   FRONTIERS IN ECOLOGY AND THE 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

High-Resolution NDVI from Planet’s Constellation of Earth Observing Nano-Satellites: A New Data Source for Precision Agriculture

(2016) Rasmus Houborg et al.   Remote Sensing

Emerging opportunities and challenges in phenology: a review

(2016) Jianwu Tang et al.   Ecosphere

Review: Development of an in situ observation network for terrestrial ecological remote sensing: the Phenological Eyes Network (PEN)

(2015) Kenlo Nishida Nasahara et al.   ECOLOGICAL RESEARCH

Tracking forest phenology and seasonal physiology using digital repeat photography: a critical assessment

(2014) T. F. Keenan et al.   ECOLOGICAL APPLICATIONS

Development of an invasive species distribution model with fine-resolution remote sensing

(2014) Chunyuan Diao et al.   International Journal of Applied Earth Observation and Geoinformation

Greater Sensitivity to Drought Accompanies Maize Yield Increase in the U.S. Midwest

(2014) D. B. Lobell et al.   SCIENCE

Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics

(2013) Douglas K. Bolton et al.   AGRICULTURAL AND FOREST METEOROLOGY

MODIS-based corn grain yield estimation model incorporating crop phenology information

(2013) Toshihiro Sakamoto et al.   REMOTE SENSING OF ENVIRONMENT

The critical role of extreme heat for maize production in the United States

(2013) David B. Lobell et al.   Nature Climate Change

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

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

Digital repeat photography for phenological research in forest ecosystems

(2011) Oliver Sonnentag et al.   AGRICULTURAL AND FOREST METEOROLOGY

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

Linking near-surface and satellite remote sensing measurements of deciduous broadleaf forest phenology

(2011) Koen Hufkens et al.   REMOTE SENSING OF ENVIRONMENT

Climate Trends and Global Crop Production Since 1980

(2011) D. B. Lobell et al.   SCIENCE

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

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

Nonlinear temperature effects indicate severe damages to U.S. crop yields under climate change

(2009) W. Schlenker et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Phenology Feedbacks on Climate Change

(2009) J. Penuelas et al.   SCIENCE

Tracking the rhythm of the seasons in the face of global change: phenological research in the 21st century

(2008) Jeffrey T Morisette et al.   FRONTIERS IN ECOLOGY AND THE ENVIRONMENT

Evaluation of multi-sensor semi-arid crop season parameters based on NDVI and rainfall

(2008) Molly E. Brown et al.   REMOTE SENSING OF ENVIRONMENT