Home ›
Entities
› academia
› Applying time series interferometric synthetic aperture radar and the unscented Kalman filter to predict deformations in Maoxian landslide
Applying time series interferometric synthetic aperture radar and the unscented Kalman filter to predict deformations in Maoxian landslide
Research article (Journal of Applied Remote Sensing, 2019) · cited 10× · AI/ML
Applying time series interferometric synthetic aperture radar and the unscented Kalman filter to predict deformations in Maoxian landslide
Summary
Applying time series interferometric synthetic aperture radar and the unscented Kalman filter to predict deformations in Maoxian landslide is a scholarly article[1].
Key Facts
Applying time series interferometric synthetic aperture radar and the unscented Kalman filter to predict deformations in Maoxian landslide'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). Applying time series interferometric synthetic aperture radar and the unscented Kalman filter to predict deformations in Maoxian landslide. Retrieved May 24, 2026, from https://4ort.xyz/entity/applying-time-series-interferometric-synthetic-aperture-radar-and-the-unscented-kalman-filter-to-predict-deformations-in
MLA“Applying time series interferometric synthetic aperture radar and the unscented Kalman filter to predict deformations in Maoxian landslide.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/applying-time-series-interferometric-synthetic-aperture-radar-and-the-unscented-kalman-filter-to-predict-deformations-in.
BibTeX@misc{4ortxyz_applying-time-series-interferometric-synthetic-aperture-radar-and-the-unscented-kalman-filter-to-predict-deformations-in_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Applying time series interferometric synthetic aperture radar and the unscented Kalman filter to predict deformations in Maoxian landslide}}, year = {2026}, url = {https://4ort.xyz/entity/applying-time-series-interferometric-synthetic-aperture-radar-and-the-unscented-kalman-filter-to-predict-deformations-in}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Applying time series interferometric synthetic aperture radar and the unscented Kalman filter to predict deformations in Maoxian landslide — https://4ort.xyz/entity/applying-time-series-interferometric-synthetic-aperture-radar-and-the-unscented-kalman-filter-to-predict-deformations-in (retrieved 2026-05-24)