Application of Synthetic NDVI Time Series Blended from Landsat and MODIS Data for Grassland Biomass Estimation

Mapping land cover in complex Mediterranean landscapes using Landsat: Improved classification accuracies from integrating multi-seasonal and synthetic imagery

(2015) Cornelius Senf et al.   REMOTE SENSING OF ENVIRONMENT

A comparison of STARFM and an unmixing-based algorithm for Landsat and MODIS data fusion

(2015) Caroline M. Gevaert et al.   REMOTE SENSING OF ENVIRONMENT

Spatio-temporal reflectance fusion via unmixing: accounting for both phenological and land-cover changes

(2014) Bo Huang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Blending MODIS and Landsat images for urban flood mapping

(2014) Fang Zhang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

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

Remote Sensing-Based Biomass Estimation and Its Spatio-Temporal Variations in Temperate Grassland, Northern China

(2014) Yunxiang Jin et al.   Remote Sensing

A spatial and temporal reflectance fusion model considering sensor observation differences

(2013) Huanfeng Shen et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Using MODIS time series data to estimate aboveground biomass and its spatio-temporal variation in Inner Mongolia’s grassland between 2001 and 2011

(2013) Tian Gao et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

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

Mapping and Evaluation of NDVI Trends from Synthetic Time Series Obtained by Blending Landsat and MODIS Data around a Coalfield on the Loess Plateau

(2013) Feng Tian et al.   Remote Sensing

An Improved Image Fusion Approach Based on Enhanced Spatial and Temporal the Adaptive Reflectance Fusion Model

(2013) Dongjie Fu et al.   Remote Sensing

Using Low Resolution Satellite Imagery for Yield Prediction and Yield Anomaly Detection

(2013) Felix Rembold et al.   Remote Sensing

Spatiotemporal Reflectance Fusion via Sparse Representation

(2012) Bo Huang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Monitoring the distribution of C3 and C4 grasses in a temperate grassland in northern China using moderate resolution imaging spectroradiometer normalized difference vegetation index trajectories

(2012) Liangyun Liu   Journal of Applied Remote Sensing

Long term data fusion for a dense time series analysis with MODIS and Landsat imagery in an Australian Savanna

(2012) Thomas Udelhoven   Journal of Applied Remote Sensing

Forest biomass estimation from airborne LiDAR data using machine learning approaches

(2012) Colin J. Gleason et al.   REMOTE SENSING OF ENVIRONMENT

Preparing Landsat Image Time Series (LITS) for Monitoring Changes in Vegetation Phenology in Queensland, Australia

(2012) Santosh Bhandari et al.   Remote Sensing

Support vector machine regression (SVR/LS-SVM)—an alternative to neural networks (ANN) for analytical chemistry? Comparison of nonlinear methods on near infrared (NIR) spectroscopy data

(2011) Roman M. Balabin et al.   ANALYST

Generation of high spatial and temporal resolution NDVI and its application in crop biomass estimation

(2011) Jihua Meng et al.   International Journal of Digital Earth

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

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

Generation and evaluation of gross primary productivity using Landsat data through blending with MODIS data

(2010) Devendra Singh   International Journal of Applied Earth Observation and Geoinformation

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

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

Improved classification of conservation tillage adoption using high temporal and synthetic satellite imagery

(2010) Jennifer D. Watts et al.   REMOTE SENSING OF ENVIRONMENT

A comparison of two models with Landsat data for estimating above ground grassland biomass in Inner Mongolia, China

(2009) Yichun Xie et al.   ECOLOGICAL MODELLING

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

The availability of cloud-free Landsat ETM+ data over the conterminous United States and globally

(2007) Junchang Ju et al.   REMOTE SENSING OF ENVIRONMENT