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Weekly cloud free Harmonized Landsat Sentinel (HLS) Normalized Difference Vegetation Index (NDVI) estimates for western United States (2016 – 2019)

Dates

Publication Date
Start Date
2016
End Date
2019

Citation

Dahal, D., Parajuli, S., Pastick, N.J., and Wylie, B.K., 2021, Weekly cloud free Harmonized Landsat Sentinel (HLS) Normalized Difference Vegetation Index (NDVI) estimates for western United States (2016 – 2019): U.S. Geological Survey data release, https://doi.org/10.5066/P9KKPT07.

Summary

In support of mapping ecological conditions (e.g. invasive annual grass) in sagebrush-dominated landscapes of the western United States, we developed weekly (starting from week 7 to week 42 and Week 1 starts January 1 or Day of the year 1 to 7, week 2 is from Day of year 8 to 14, and so on) 30-m cloud-free Normalized Difference Vegetation Index (NDVI) from 2016 to 2019. The data was generated with machine-learning techniques (i.e., regression tree [RT]) and harmonized Landsat and Sentinel -2 (HLS) data. The geographic coverage includes areas in the Great Basin, the Snake River Plain, the state of Wyoming, and contiguous areas. This NDVI collection allows for local-scale detection and analysis such as, fuel breaks in sagebrush ecosystem [...]

Child Items (4)

Contacts

Point of Contact :
Devendra Dahal
Process Contact :
Devendra Dahal
Originator :
Devendra Dahal, Sujan Parajuli, Neal J Pastick, Bruce K Wylie
Metadata Contact :
Sujan Parajuli
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Earthquake Hazards Program
USGS Mission Area :
Core Science Systems

Attached Files

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Purpose

The goal of this research is to develop and analyze historic and rapid estimates of weekly cloud-free normalized difference vegetation index(NDVI) data (30-m spatial resolution) throughout rangeland ecosystems in the western United States, using harmonized Landsat and Sentinel-2(HLS) (https://hls.gsfc.nasa.gov/) data, remote sensing metrics, and data mining techniques.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9KKPT07

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