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Mapping irrigated cropland extent across the conterminous United States at 30 m resolution using a semi-automatic training approach on Google Earth Engine
Research article (ISPRS Journal of Photogrammetry and Remote Sensing, 2019) · cited 153× · AI/ML
Mapping irrigated cropland extent across the conterminous United States at 30 m resolution using a semi-automatic training approach on Google Earth Engine
Summary
Mapping irrigated cropland extent across the conterminous United States at 30 m resolution using a semi-automatic training approach on Google Earth Engine is a scholarly article[1].
Key Facts
Mapping irrigated cropland extent across the conterminous United States at 30 m resolution using a semi-automatic training approach on Google Earth Engine's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Mapping irrigated cropland extent across the conterminous United States at 30 m resolution using a semi-automatic training approach on Google Earth Engine. Retrieved May 24, 2026, from https://4ort.xyz/entity/mapping-irrigated-cropland-extent-across-the-conterminous-united-states-at-30-m-resolution-using-a-semi-automatic-traini
MLA“Mapping irrigated cropland extent across the conterminous United States at 30 m resolution using a semi-automatic training approach on Google Earth Engine.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mapping-irrigated-cropland-extent-across-the-conterminous-united-states-at-30-m-resolution-using-a-semi-automatic-traini.
BibTeX@misc{4ortxyz_mapping-irrigated-cropland-extent-across-the-conterminous-united-states-at-30-m-resolution-using-a-semi-automatic-traini_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Mapping irrigated cropland extent across the conterminous United States at 30 m resolution using a semi-automatic training approach on Google Earth Engine}}, year = {2026}, url = {https://4ort.xyz/entity/mapping-irrigated-cropland-extent-across-the-conterminous-united-states-at-30-m-resolution-using-a-semi-automatic-traini}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Mapping irrigated cropland extent across the conterminous United States at 30 m resolution using a semi-automatic training approach on Google Earth Engine — https://4ort.xyz/entity/mapping-irrigated-cropland-extent-across-the-conterminous-united-states-at-30-m-resolution-using-a-semi-automatic-traini (retrieved 2026-05-24)
