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

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

Studies related to vegetation dynamics in heterogeneous landscapes often require Normalized Difference Vegetation Index (NDVI) datasets with both high spatial resolution and frequent coverage, which cannot be satisfied by a single sensor due to technical limitations. In this study, we propose a new...

Full description

Bibliographic Details
Main Authors: Limin Liao, Jinling Song, Jindi Wang, Zhiqiang Xiao, Jian Wang
Format: Article
Language:English
Published: MDPI AG 2016-05-01
Series:Remote Sensing
Subjects:
Bayesian
data fusion
Landsat
MODIS
NDVI
Online Access:http://www.mdpi.com/2072-4292/8/6/452

Similar Items

Similar Items