Characterizing the calibration domain of remote sensing models using convex hulls-Reference-Cited by-同舟云学术

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Characterizing the calibration domain of remote sensing models using convex hulls

Published:2022-08 Issue: Volume:112 Page:102939
ISSN:1569-8432
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Renaud J.P.,Sagar A.,Barbillon P.,Bouriaud O.,Deleuze C.,Vega C.

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference47 articles.

1. The quickhull algorithm for convex hulls;Barber;ACM Trans Math Softw,1996

2. dsmextra: Extrapolation assessment tools for density surface models;Bouchet;Methods Ecol. Evol.,2020

3. Generalizing predictive models of forest inventory attributes using an area-based approach with airborne LiDAR data;Bouvier;Remote Sens. Environ.,2015

4. Influence of Sampling Design Parameters on Biomass Predictions Derived from Airborne LiDAR Data;Bouvier;Can J Remote Sens,2019

5. Characterizing the Domain of a Regression Model;Brooks;Am. Stat.,1988

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1. Harmonised statistics and maps of forest biomass and increment in Europe;Scientific Data;2024-03-06

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