RT Journal Article
T1 False discovery rate estimation and control in remote sensing: reliable statistical significance in spatially dependent gridded data.
T2 False discovery rate estimation and control in remote sensing
A1 Gutiérrez-Hernández, Oliver
A1 García, Luís V.
K1 Estructuras de datos (Informática)
K1 Ficheros de datos
K1 Tablas de contingencia
AB In remote sensing, analysing statistical significance (expressed in terms of p-values) in gridded datasets with thousands of pixels requires addressing the multiple testing problem, which increases the risk of false positives. The false discovery rate (FDR) provides a flexible alternative to traditional correction procedures, yet its application in remote sensing remains underexplored. This research combines FDR estimation via the location-based estimator (LBE) with FDR control using the Benjamini-Hochberg (BH) procedure to enhance the reliability of statistical inference in spatially gridded data. These methods were applied to gridded p-values (p-value map) derived from spatiotemporal Contextual Mann-Kendall (CMK) trend tests using the global MODIS NDVI (Moderate Resolution Imaging Spectroradiometer – Normalized Difference Vegetation Index) MOD13C2 product, highlighting their applicability to scenarios requiring p-value-based corrections. Our findings highlight the complementary strengths of FDR estimation and control, offering a robust framework for addressing large-scale multiple testing challenges in remote sensing under spatial dependence
PB Taylor & Francis
YR 2025
FD 2025-04-04
LK https://hdl.handle.net/10630/39901
UL https://hdl.handle.net/10630/39901
LA eng
NO Gutiérrez-Hernández, O., & García, L. (2025). False Discovery Rate Estimation and Control in Remote Sensing: Reliable Statistical Significance in Spatially Dependent Gridded Data. Remote Sensing Letters, 16(5), 537–548.
NO Ministerio para la Transición Ecológica y el Reto Demográfico
NO Ministerio de Ciencia y Universidades
NO PALEOPINSAPO II project (ref. PID2022-141592NB-I00)
NO PALEONIEVES project (ref. 3025/2023)
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 21 ene 2026