Reference:Reference-009245
From CSDMS
Publication information
| Author(s) | , ; |
| BibType | journalArticle |
| Title | Extraction of Rice Heavy Metal Stress Signal Features Based on Long Time Series Leaf Area Index Data Using Ensemble Empirical Mode Decomposition |
| Year | 2017-09-06 |
| Journal | International Journal of Environmental Research and Public Health |
| Volume | 14 |
| Pages | 1018 |
| URL | http://www.mdpi.com/1660-4601/14/9/1018 |
| DOI | 10.3390/ijerph14091018 |
| Note | Auto downloaded ref at: 2020-06-26 |
Open Access
| Icon | Status | Best URL | Best PDF URL | License | Version | Last checked |
|---|---|---|---|---|---|---|
| gold | cc-by | publishedVersion | 2026-10-15 |
Download locations
| URL | Host | License | Version | |
|---|---|---|---|---|
| link | publisher | cc-by | publishedVersion | |
| link | repository | cc-by | submittedVersion |
Additional information
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| Highlighted paper on group site | No | |
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| Which groups | ||
| Feature reference | No | |
| Semantic_ID | e8e7e89c952c3926a381aac9be6f4882f448b5eb | |
| Nr of citations | 25 | |
| Sort of publication | a module application description | |
| Sort of model publication | a single module | |
| Is the CSDMS HPC used | No | |
| If HPC is used, for what project was it?: | ||
| Associated simulation movie if any: |
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| Model(s) discussed: | WOFOST |
