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Fusing MODIS with Landsat 8 data to downscale weekly normalized difference vegetation index estimates for central Great Basin rangelands, USA

GIScience and Remote Sensing

By:
ORCID iD , ORCID iD , ORCID iD , and ORCID iD
https://doi.org/10.1080/15481603.2017.1382065

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Abstract

Data fused from distinct but complementary satellite sensors mitigate tradeoffs that researchers make when selecting between spatial and temporal resolutions of remotely sensed data. We integrated data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor aboard the Terra satellite and the Operational Land Imager sensor aboard the Landsat 8 satellite into four regression-tree models and applied those data to a mapping application. This application produced downscaled maps that utilize the 30-m spatial resolution of Landsat in conjunction with daily acquisitions of MODIS normalized difference vegetation index (NDVI) that are composited and temporally smoothed. We produced four weekly, atmospherically corrected, and nearly cloud-free, downscaled 30-m synthetic MODIS NDVI predictions (maps) built from these models. Model results were strong with R2 values ranging from 0.74 to 0.85. The correlation coefficients (r ≥ 0.89) were strong for all predictions when compared to corresponding original MODIS NDVI data. Downscaled products incorporated into independently developed sagebrush ecosystem models yielded mixed results. The visual quality of the downscaled 30-m synthetic MODIS NDVI predictions were remarkable when compared to the original 250-m MODIS NDVI. These 30-m maps improve knowledge of dynamic rangeland seasonal processes in the central Great Basin, United States, and provide land managers improved resource maps.

Additional publication details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Fusing MODIS with Landsat 8 data to downscale weekly normalized difference vegetation index estimates for central Great Basin rangelands, USA
Series title:
GIScience and Remote Sensing
DOI:
10.1080/15481603.2017.1382065
Volume:
55
Issue:
3
Year Published:
2018
Language:
English
Publisher:
Taylor & Francis
Contributing office(s):
Earth Resources Observation and Science (EROS) Center
Description:
24 p.
First page:
376
Last page:
399
Country:
United States
Other Geospatial:
Great Basin rangelands