Development and Evaluation of a New Algorithm for Detecting 30m Land Surface Phenology from VIIRS and HLS Time Series

Authors

Xiaoyang Zhang, South Dakota State UniversityFollow
Jianmin Wang, South Dakota State UniversityFollow
Geoffrey Henebry, South Dakota State UniversityFollow
Feng Gao

Document Type

Data set

Publication Date

1-2020

Description

These files contain source code and sample data associated with the article, Development and Evaluation of a New Algorithm for Detecting 30m Land Surface Phenology from VIIRS and HLS Time Series.

To run the software, the inputs in both example-1 file and example-2 file should be put to one single directory.

Downloadable files:

1. readme.txt
2. Example-1.zip (994.3 MB)
3. Example-2.zip (902.2 MB)
4. Input_example.txt
5. input_description.txt
6. HLS_VIIRS_shape_fusion.exe
7. HLS_VIIRS_shape_fusion.c
8. makefile

Grant Number

NASA Contract No: 80NSSC18K0626

Rights

Copyright © 2020 Xiaoyang Zhang

Recommended Citation

Zhang, Xiaoyang; Wang, Jianmin; Henebry, Geoffrey; and Gao, Feng, "Development and Evaluation of a New Algorithm for Detecting 30m Land Surface Phenology from VIIRS and HLS Time Series" (2020). Global Land Surface Season Data Sets. 5.
https://openprairie.sdstate.edu/global_land_surface_season_data/5