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AGTML: A novel approach to land cover classification by integrating automatic generation of training samples and machine learning algorithms on Google Earth Engine
Research article (Ecological Indicators, 2023) · cited 27× · AI/ML
AGTML: A novel approach to land cover classification by integrating automatic generation of training samples and machine learning algorithms on Google Earth Engine
Summary
AGTML: A novel approach to land cover classification by integrating automatic generation of training samples and machine learning algorithms on Google Earth Engine is a scholarly article[1].
Key Facts
AGTML: A novel approach to land cover classification by integrating automatic generation of training samples and machine learning algorithms on Google Earth Engine's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). AGTML: A novel approach to land cover classification by integrating automatic generation of training samples and machine learning algorithms on Google Earth Engine. Retrieved May 24, 2026, from https://4ort.xyz/entity/agtml-a-novel-approach-to-land-cover-classification-by-integrating-automatic-generation-of-training-samples-and-machine-
MLA“AGTML: A novel approach to land cover classification by integrating automatic generation of training samples and machine learning algorithms on Google Earth Engine.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/agtml-a-novel-approach-to-land-cover-classification-by-integrating-automatic-generation-of-training-samples-and-machine-.
BibTeX@misc{4ortxyz_agtml-a-novel-approach-to-land-cover-classification-by-integrating-automatic-generation-of-training-samples-and-machine-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AGTML: A novel approach to land cover classification by integrating automatic generation of training samples and machine learning algorithms on Google Earth Engine}}, year = {2026}, url = {https://4ort.xyz/entity/agtml-a-novel-approach-to-land-cover-classification-by-integrating-automatic-generation-of-training-samples-and-machine-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AGTML: A novel approach to land cover classification by integrating automatic generation of training samples and machine learning algorithms on Google Earth Engine — https://4ort.xyz/entity/agtml-a-novel-approach-to-land-cover-classification-by-integrating-automatic-generation-of-training-samples-and-machine- (retrieved 2026-05-24)
