Downscaling 250-m MODIS growing season NDVI based on multiple-date landsat images and data mining approaches
Links
- More information: Publisher Index Page (via DOI)
- Open Access Version: Publisher Index Page
- Download citation as: RIS | Dublin Core
Abstract
The satellite-derived growing season time-integrated Normalized Difference Vegetation Index (GSN) has been used as a proxy for vegetation biomass productivity. The 250-m GSN data estimated from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors have been used for terrestrial ecosystem modeling and monitoring. High temporal resolution with a wide range of wavelengths make the MODIS land surface products robust and reliable. The long-term 30-m Landsat data provide spatial detailed information for characterizing human-scale processes and have been used for land cover and land change studies. The main goal of this study is to combine 250-m MODIS GSN and 30-m Landsat observations to generate a quality-improved high spatial resolution (30-m) GSN database. A rule-based piecewise regression GSN model based on MODIS and Landsat data was developed. Results show a strong correlation between predicted GSN and actual GSN (r = 0.97, average error = 0.026). The most important Landsat variables in the GSN model are Normalized Difference Vegetation Indices (NDVIs) in May and August. The derived MODIS-Landsat-based 30-m GSN map provides biophysical information for moderate-scale ecological features. This multiple sensor study retains the detailed seasonal dynamic information captured by MODIS and leverages the high-resolution information from Landsat, which will be useful for regional ecosystem studies.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Downscaling 250-m MODIS growing season NDVI based on multiple-date landsat images and data mining approaches |
| Series title | Remote Sensing |
| DOI | 10.3390/rs70403489 |
| Volume | 7 |
| Issue | 4 |
| Year Published | 2015 |
| Language | English |
| Publisher | Molecular Diversity Preservation International |
| Publisher location | Basel, Switzerland |
| Contributing office(s) | Earth Resources Observation and Science (EROS) Center |
| Description | 18 p. |
| First page | 3489 |
| Last page | 3506 |
| Online Only (Y/N) | N |
| Additional Online Files (Y/N) | N |
| Google Analytic Metrics | Metrics page |