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A geostatistical temporal mixture analysis approach to address endmember variability for estimating regional impervious surface distributions

Research article (GIScience & Remote Sensing, 2015) · cited 19× · AI/ML
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A geostatistical temporal mixture analysis approach to address endmember variability for estimating regional impervious surface distributions

Summary

A geostatistical temporal mixture analysis approach to address endmember variability for estimating regional impervious surface distributions is a scholarly article[1].

Key Facts

  • A geostatistical temporal mixture analysis approach to address endmember variability for estimating regional impervious surface distributions's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A geostatistical temporal mixture analysis approach to address endmember variability for estimating regional impervious surface distributions. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-geostatistical-temporal-mixture-analysis-approach-to-address-endmember-variability-for-estimating-regional-impervious-
MLA “A geostatistical temporal mixture analysis approach to address endmember variability for estimating regional impervious surface distributions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-geostatistical-temporal-mixture-analysis-approach-to-address-endmember-variability-for-estimating-regional-impervious-.
BibTeX @misc{4ortxyz_a-geostatistical-temporal-mixture-analysis-approach-to-address-endmember-variability-for-estimating-regional-impervious-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A geostatistical temporal mixture analysis approach to address endmember variability for estimating regional impervious surface distributions}}, year = {2026}, url = {https://4ort.xyz/entity/a-geostatistical-temporal-mixture-analysis-approach-to-address-endmember-variability-for-estimating-regional-impervious-}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A geostatistical temporal mixture analysis approach to address endmember variability for estimating regional impervious surface distributions — https://4ort.xyz/entity/a-geostatistical-temporal-mixture-analysis-approach-to-address-endmember-variability-for-estimating-regional-impervious- (retrieved 2026-05-24)

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