Spatiotemporal image fusion in Google Earth Engine for annual estimates of land surface phenology in a heterogenous landscape

Development and evaluation of a new algorithm for detecting 30 m land surface phenology from VIIRS and HLS time series

(2020) Xiaoyang Zhang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

SciPy 1.0: fundamental algorithms for scientific computing in Python

(2020) Pauli Virtanen et al.   NATURE METHODS

Invasive grasses: A new perfect storm for forested ecosystems?

(2020) Becky K. Kerns et al.   FOREST ECOLOGY AND MANAGEMENT

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

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

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

Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud

(2020) Álvaro Moreno-Martínez et al.   REMOTE SENSING OF ENVIRONMENT

Spatiotemporal Image Fusion in Remote Sensing

(2019) Mariana Belgiu et al.   Remote Sensing

Development and Evaluation of a New “Snow Water Index (SWI)” for Accurate Snow Cover Delineation

(2019) Abhilasha Dixit 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

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

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

Spatiotemporal Satellite Image Fusion Using Deep Convolutional Neural Networks

(2018) Huihui Song et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Generation and evaluation of the VIIRS land surface phenology product

(2018) Xiaoyang Zhang 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

A new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategies

(2018) Limin Yang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

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

Cloud detection algorithm comparison and validation for operational Landsat data products

(2017) Steve Foga et al.   REMOTE SENSING OF ENVIRONMENT

Google Earth Engine: Planetary-scale geospatial analysis for everyone

(2017) Noel Gorelick et al.   REMOTE SENSING OF ENVIRONMENT

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

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

Refining the cheatgrass-fire cycle in the Great Basin: Precipitation timing and fine fuel composition predict wildfire trends

(2017) David S. Pilliod et al.   Ecology and Evolution

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

(2017) Zhanzhang Cai et al.   Remote Sensing

Linking plant phenology to conservation biology

(2016) Leonor Patrícia Cerdeira Morellato et al.   BIOLOGICAL CONSERVATION

Phenological shifts of native and invasive species under climate change: insights from theBoechera–Lythrummodel

(2016) Robert I. Colautti et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

On the performance of remote sensing time series reconstruction methods – A spatial comparison

(2016) Jie Zhou et al.   REMOTE SENSING OF ENVIRONMENT

Imaging phenology; scaling from camera plots to landscapes

(2016) W. Nijland et al.   REMOTE SENSING OF ENVIRONMENT

Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product

(2016) Eric Vermote 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

Enhanced seasonal CO2 exchange caused by amplified plant productivity in northern ecosystems

(2016) M. Forkel et al.   SCIENCE

Bayesian Method for Building Frequent Landsat-Like NDVI Datasets by Integrating MODIS and Landsat NDVI

(2016) Limin Liao et al.   Remote Sensing

Climate change impacts on phenology and yields of five broadacre crops at four climatologically distinct locations in Australia

(2015) Muhuddin Rajin Anwar et al.   AGRICULTURAL SYSTEMS

Ecological Characteristics of Ventenata dubia in the Intermountain Pacific Northwest

(2015) John M. Wallace et al.   Invasive Plant Science and Management

An Improved Method for Producing High Spatial-Resolution NDVI Time Series Datasets with Multi-Temporal MODIS NDVI Data and Landsat TM/ETM+ Images

(2015) Yuhan Rao et al.   Remote Sensing

Comparison of Spatiotemporal Fusion Models: A Review

(2015) Bin Chen et al.   Remote Sensing

Fusing Landsat and MODIS Data for Vegetation Monitoring

(2015) Feng Gao et al.   IEEE Geoscience and Remote Sensing Magazine

Monitoring vegetation phenology using an infrared-enabled security camera

(2014) Anika R. Petach et al.   AGRICULTURAL AND FOREST METEOROLOGY

Operational Data Fusion Framework for Building Frequent Landsat-Like Imagery

(2014) Peijuan Wang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A Cross Comparison of Spatiotemporally Enhanced Springtime Phenological Measurements From Satellites and Ground in a Northern U.S. Mixed Forest

(2014) Liang Liang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Dryland vegetation phenology across an elevation gradient in Arizona, USA, investigated with fused MODIS and Landsat data

(2014) J.J. Walker et al.   REMOTE SENSING OF ENVIRONMENT

Blending Landsat and MODIS Data to Generate Multispectral Indices: A Comparison of “Index-then-Blend” and “Blend-then-Index” Approaches

(2014) Abdollah Jarihani et al.   Remote Sensing

Progress towards an interdisciplinary science of plant phenology: building predictions across space, time and species diversity

(2013) Elizabeth M. Wolkovich et al.   NEW PHYTOLOGIST

Assessing the accuracy of blending Landsat–MODIS surface reflectances in two landscapes with contrasting spatial and temporal dynamics: A framework for algorithm selection

(2013) Irina V. Emelyanova et al.   REMOTE SENSING OF ENVIRONMENT

Detecting interannual variation in deciduous broadleaf forest phenology using Landsat TM/ETM+ data

(2013) Eli K. Melaas et al.   REMOTE SENSING OF ENVIRONMENT

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

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

Terrestrial biosphere models need better representation of vegetation phenology: results from the North American Carbon Program Site Synthesis

(2011) Andrew D. Richardson et al.   GLOBAL CHANGE BIOLOGY

Evaluation of Landsat and MODIS data fusion products for analysis of dryland forest phenology

(2011) J.J. Walker et al.   REMOTE SENSING OF ENVIRONMENT

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

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

An Optical Sensor Network for Vegetation Phenology Monitoring and Satellite Data Calibration

(2011) Lars Eklundh et al.   SENSORS

Linking ground-based to satellite-derived phenological metrics in support of habitat assessment

(2011) Nicholas C. Coops et al.   Remote Sensing Letters

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

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

An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions

(2010) Xiaolin Zhu et al.   REMOTE SENSING OF ENVIRONMENT

Near-surface remote sensing of spatial and temporal variation in canopy phenology

(2009) Andrew D. Richardson et al.   ECOLOGICAL APPLICATIONS

A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS

(2009) Thomas Hilker et al.   REMOTE SENSING OF ENVIRONMENT

Generation of dense time series synthetic Landsat data through data blending with MODIS using a spatial and temporal adaptive reflectance fusion model

(2009) Thomas Hilker et al.   REMOTE SENSING OF ENVIRONMENT

MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets

(2009) Mark A. Friedl et al.   REMOTE SENSING OF ENVIRONMENT