Assessing the effectiveness of ground truth data to capture landscape variability from an agricultural region using Gaussian simulation and geostatistical techniques

Predictive modeling with remotely sensed data requires an accurate representation of spatial variability by ground truth data. In this study, we assessed the reliability of the size and location of ground truth data in capturing the landscape spatial variability embedded in the Airborne Visible Infr...

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Bibliographic Details
Main Authors: Eric Ariel L. Salas, Sakthi Kumaran Subburayalu, Brian Slater, Rucha Dave, Parshva Parekh, Kaiguang Zhao, Bimal Bhattacharya
Format: Article
Language:English
Published: Elsevier 2021-07-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844021015425