Home ›
Entities
› academia
› Evaluation of gap-filling methods for Landsat 7 ETM+ SLC-off image for LULC classification in a heterogeneous landscape of West Africa
Evaluation of gap-filling methods for Landsat 7 ETM+ SLC-off image for LULC classification in a heterogeneous landscape of West Africa
Research article (International Journal of Remote Sensing, 2019) · cited 29× · AI/ML
Evaluation of gap-filling methods for Landsat 7 ETM+ SLC-off image for LULC classification in a heterogeneous landscape of West Africa
Summary
Evaluation of gap-filling methods for Landsat 7 ETM+ SLC-off image for LULC classification in a heterogeneous landscape of West Africa is a scholarly article[1].
Key Facts
Evaluation of gap-filling methods for Landsat 7 ETM+ SLC-off image for LULC classification in a heterogeneous landscape of West Africa's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Evaluation of gap-filling methods for Landsat 7 ETM+ SLC-off image for LULC classification in a heterogeneous landscape of West Africa. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluation-of-gap-filling-methods-for-landsat-7-etm-slc-off-image-for-lulc-classification-in-a-heterogeneous-landscape-o
MLA“Evaluation of gap-filling methods for Landsat 7 ETM+ SLC-off image for LULC classification in a heterogeneous landscape of West Africa.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluation-of-gap-filling-methods-for-landsat-7-etm-slc-off-image-for-lulc-classification-in-a-heterogeneous-landscape-o.
BibTeX@misc{4ortxyz_evaluation-of-gap-filling-methods-for-landsat-7-etm-slc-off-image-for-lulc-classification-in-a-heterogeneous-landscape-o_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluation of gap-filling methods for Landsat 7 ETM+ SLC-off image for LULC classification in a heterogeneous landscape of West Africa}}, year = {2026}, url = {https://4ort.xyz/entity/evaluation-of-gap-filling-methods-for-landsat-7-etm-slc-off-image-for-lulc-classification-in-a-heterogeneous-landscape-o}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluation of gap-filling methods for Landsat 7 ETM+ SLC-off image for LULC classification in a heterogeneous landscape of West Africa — https://4ort.xyz/entity/evaluation-of-gap-filling-methods-for-landsat-7-etm-slc-off-image-for-lulc-classification-in-a-heterogeneous-landscape-o (retrieved 2026-05-24)