Automated generation of consistent annual maximum NDVI on coal bases with a new algorithm.

Jun Li, Tingting Qin, Chengye Zhang, Yicong Zhang, Yaping Zhang, Haitao Shi, Yihao Yang

Abstract readDataset

In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

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0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jun LiCollege of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, 100083, Beijing, China.

Tingting QinCollege of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, 100083, Beijing, China.

Chengye ZhangCollege of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, 100083, Beijing, China. czhang@cumtb.edu.cn.ORCID http://orcid.org/0000-0002-4902-8704

Yicong ZhangCollege of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, 100083, Beijing, China.

Yaping ZhangCollege of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, 100083, Beijing, China.

Haitao ShiCollege of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, 100083, Beijing, China.

Yihao YangCollege of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, 100083, Beijing, China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42271480National Natural Science Foundation of China (National Science Foundation of China) 42371347

6 · The paper itself

Abstract

Coal is one of the most important fossil energy sources and is ensuring global energy security. Annual maximum NDVI (Normalized Difference Vegetation Index) data is an important indicator for the research in balancing coal mining and vegetation conservation. However, the existing annual maximum NDVI data displayed lower values with temporally inconsistent and a noticeable mosaic line. Here we propose an algorithm for automatically generating the annual maximum NDVI of China's coal bases in Google Earth Engine called: Auto-NDVI

Identifiers

PMID38926386

DOI10.1038/s41597-024-03543-2

PMCPMC11208558

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LicenceCC BY

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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.