Evidence map›Paper›PMID 32128729›Full record

ArticleEnvironmental science and pollution research international2020

Estimation of chlorophyll-a Concentration of lakes based on SVM algorithm and Landsat 8 OLI images.

Teng Zhang, Mutao Huang, Zhongjing Wang

Abstract read
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Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Teng ZhangDepartment of Hydraulic Engineering, Tsinghua University, Beijing, 100084, China.ORCID http://orcid.org/0000-0002-4219-0098
Mutao HuangSchool of Hydropower & Information Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China. huangmutao@hust.edu.cn.
Zhongjing WangDepartment of Hydraulic Engineering, Tsinghua University, Beijing, 100084, China. zj.wang@tsinghua.edu.cn.

Funding

Fundamental Research Funds for the Central Universities 2017KFYXJJ203National Key R and D Program of China 2017YFC0405900National Natural Science Foundation of China 41671020National Natural Science Foundation of China 51579108
6 · The paper itself

Abstract

Chlorophyll-a (Chl-a) is the main component of phytoplankton and an important index of water quality. Pearson correlation analysis is conducted on measured Chl-a concentration and band reflectance to determine the sensitive bands or multiband combinations of the Chl-a to input to a support vector machine (SVM) model. An indicator β is defined to evaluate the model performance of fitting and prediction. The model performs well with the lowest β (decision coefficient, (R

Indexed as

Chlorophyll ALakesAlgorithmsChlorophyllEnvironmental MonitoringSupport Vector MachineChlorophyllChlorophyll AChlorophyll-a concentrationDonghu LakeLake eutrophicationRemote sensingSVM modelWater resources monitoring

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.