Richard Lemoine-Rodríguez

Dr. Richard Lemoine-Rodríguez

University of Würzburg, Würzburg, Bavaria, Germany
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orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2020 in Landscape and Urban Planning
Verified
Journal Article
Closed access
RLRichard Lemoine-Rodríguez
Richard Lemoine-Rodríguez
LILuis Inostroza
Luis Inostroza
HZHarald Zepp
Harald Zepp

14 March 2022 in Science of The Total Environment
Verified
Journal Article
Closed access
RLRichard Lemoine-Rodríguez
Richard Lemoine-Rodríguez
LILuis Inostroza
Luis Inostroza
HZHarald Zepp
Harald Zepp

1 January 2017 in European Journal of Remote Sensing
Verified
Journal Article
Open access
Jean Francois MasJean Francois Mas
Jean Francois Mas
RLRichard Lemoine-Rodríguez
Richard Lemoine-Rodríguez
RGRafael González-López
Rafael González-López
JLJairo López-Sánchez
Jairo López-Sánchez
APAndrés Piña-Garduño
Andrés Piña-Garduño
EHEvelyn Herrera-Flores
Evelyn Herrera-Flores
This article presents a hybrid classification method combining image segmentation, GIS analysis, and visual interpretation, and its application to elaborate a multi-date cartographic database with 23 land use/cover (LUC) classes using SPOT 5 imagery for the Mexican state of Michoacan (~60,000 km2). First, the resolution of an existing 1:100,000 LUC map produced through visual interpretation of 2007 SPOT images was improved. 2007 SPOT images were segmented, and each segment received the “majority” LUC category from the 1:100,000 map. Segments were characterized from the images (spectral indices) and the map (LUC class). A multivariate trimming was applied to detect “uncertain” segments presenting discrepancy between their spectral response and the LUC class assigned from the map. For these uncertain segments, a category was determined by digital classification, but a definitive category was assigned through visual interpretation. Finally, accuracy of the resulting LUC map was assessed. The same procedure was applied to downgrade (2004) and to update (2014) the map. The implemented method enabled us to improve the scale of an existing 2007 LUC map and to detect land use/cover changes in previous (downgrading) and later (updating) dates with an overall accuracy of 83.3% ± 3.1%.

1 January 2022 in Science of The Total Environment
Verified
Journal Article
Closed access
RLRichard Lemoine-Rodríguez
Richard Lemoine-Rodríguez
LILuis Inostroza
Luis Inostroza
HZHarald Zepp
Harald Zepp

6 September 2017 in Madera y Bosques
Verified
Journal Article
Open access
Jean Francois MasJean Francois Mas
Jean Francois Mas
RLRichard Lemoine-Rodríguez
Richard Lemoine-Rodríguez
RGRafael González
Rafael González
JSJairo López Sánchez
Jairo López Sánchez
AGAndrés Piña Garduño
Andrés Piña Garduño
EFEvelyn Herrera Flores
Evelyn Herrera Flores
En las últimas décadas, se han registrado altas tasas de deforestación en el estado de Michoacán. En el presente trabajo se puso en marcha un método de clasificación híbrido que combina procesos automatizados, análisis espacial e interpretación visual, el cual permitió generar cartografía de cubierta/uso de suelo para el estado de Michoacán, a escala 1:50 000, con un área mínima cartografiable de una hectárea para 2004, 2007 y 2014. Adicionalmente, se evaluó la fiabilidad de la cartografía generada. La evaluación del mapa para 2007 indicó que la fiabilidad global fue de 83.3%, con un intervalo de confianza de 3.1%. Las tasas de deforestación en Michoacán han disminuido (i.e., 2004–2007; 0.17%, 2007–2014; 0.07%). No obstante, existen dos focos principales de deforestación donde bosques de pino y pino-encino han sido sustituidos por huertas de aguacate (centro del estado) y selvas bajas y medianas han sido transformadas en pastizales (región sierra-costa)

2 March 2019 in Urban Ecosystems
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Journal Article
Closed access
PDF file
RLRichard Lemoine-Rodríguez
Richard Lemoine-Rodríguez
IMIan MacGregor-Fors
Ian MacGregor-Fors
CMCarlos Muñoz-Robles
Carlos Muñoz-Robles