Blending Landsat and MODIS Data to Generate Multispectral Indices: A Comparison of “Index-then-Blend” and “Blend-then-Index” Approaches
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Blending Landsat and MODIS Data to Generate Multispectral Indices: A Comparison of “Index-then-Blend” and “Blend-then-Index” Approaches
Authors
Keywords
-
Journal
Remote Sensing
Volume 6, Issue 10, Pages 9213-9238
Publisher
MDPI AG
Online
2014-09-26
DOI
10.3390/rs6109213
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- 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
- 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
- Using satellite based soil moisture to quantify the water driven variability in NDVI: A case study over mainland Australia
- (2013) T. Chen et al. REMOTE SENSING OF ENVIRONMENT
- Automated mapping of vegetation trends with polynomials using NDVI imagery over the Sahel
- (2013) Sadegh Jamali 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
- Mapping Rubber Plantations and Natural Forests in Xishuangbanna (Southwest China) Using Multi-Spectral Phenological Metrics from MODIS Time Series
- (2013) Cornelius Senf et al. Remote Sensing
- An Operational Scheme for Deriving Standardised Surface Reflectance from Landsat TM/ETM+ and SPOT HRG Imagery for Eastern Australia
- (2013) Neil Flood et al. Remote Sensing
- Preparing Landsat Image Time Series (LITS) for Monitoring Changes in Vegetation Phenology in Queensland, Australia
- (2012) Santosh Bhandari et al. Remote Sensing
- A comparison of Landsat TM and MODIS vegetation indices for estimating forage phenology in desert bighorn sheep (Ovis canadensis nelsoni) habitat in the Sonoran Desert, USA
- (2011) Steven Edward Sesnie et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Evaluation of Landsat and MODIS data fusion products for analysis of dryland forest phenology
- (2011) J.J. Walker et al. REMOTE SENSING OF ENVIRONMENT
- Partitioning the variance between space and time
- (2010) Fubao Sun et al. GEOPHYSICAL RESEARCH LETTERS
- 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 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
- Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors
- (2009) Gyanesh Chander et al. REMOTE SENSING OF ENVIRONMENT
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation