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6 resultados encontrados para: AUTOR: Lazcano Hernández, Hugo Enrique
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1.
- Artículo con arbitraje
ERISNet: deep neural network for Sargassum detection along the coastline of the Mexican Caribbean
Arellano Verdejo, Javier (autor) ; Lazcano Hernández, Hugo Enrique (autor) ; Cabanillas Terán, Nancy (autora) ;
Disponible en línea
Contenido en: PeerJ Volumen 7, número e6842 (2019), p. 1-19 ISSN: 2167-8359
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Resumen en: Inglés |
Resumen en inglés

Recently, Caribbean coasts have experienced atypical massive arrivals of pelagic Sargassum with negative consequences both ecologically and economically. Based on deep learning techniques, this study proposes a novel algorithm for floating and accumulated pelagic Sargassum detection along the coastline of Quintana Roo, Mexico. Using convolutional and recurrent neural networks architectures, a deep neural network (named ERISNet) was designed specifically to detect these macroalgae along the coastline through remote sensing support. A new dataset which includes pixel values with and without Sargassum was built to train and test ERISNet. Aqua-MODIS imagery was used to build the dataset. After the learning process, the designed algorithm achievesa 90% of probability in its classification skills. ERISNet provides a novel insight to detect accurately algal blooms arrivals.


2.
Capítulo de libro
Methodology to create geospatial MODIS dataset
Álvarez Carranza, Geraldine (autora) ; Lazcano Hernández, Hugo Enrique (autor) ;
Contenido en: Communications in computer and information science 1053 Mérida, Yucatán, México : Telematics and Computing, 2019 p. 25-33 ISBN:978-3-030-33228-0, 978-3-030-33229-7
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Resumen en: Inglés |
Resumen en inglés

Training and testing of algorithms used in computing for application in several studies, require datasets previously validated and labeled. In the case of satellite remote sensing, there are several platforms with large volumes of open source data. Aqua and Terra satellite platforms have available the sensor MODIS (Moderate-Resolution Imaging Spectroradiometer) which has available open access data forearth observation. Despite the facilities offered by the MODIS data platform, extracting data from a particular region for the construction of useful dataset requires an arduous work that includes manual, semiautomatic and automatic stages. The present study proposes a methodology for the construction of a geospatial dataset using MODIS sensordata. This methodology has been successfully implemented in the construction of dataset for the analysis of physical and biological variables in the Caribbean Sea, highlighting its application in the monitoring of Sargasso along the coastline of the state of Quintana Roo. Its application can be extended to any of the data and products offered by the MODIS sensor.


3.
Artículo
Off-line and on-line optical monitoring of microalgal growth
Lazcano Hernández, Hugo Enrique ; Aguilar, Gabriela (coaut.) ; Dzul Cetz, Gabriela Antonia (coaut.) ; Patiño, Rodrigo T. (coaut.) ; Arellano Verdejo, Javier (coaut.) ;
Contenido en: PeerJ Vol. 2019, no. 11, e7956 (2019), p. 1-17 ISSN: 2167-8359
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Resumen en: Inglés |
Resumen en inglés

The growth of Chlamydomonas reinhardtii microalgae cultures was successfully monitored, using classic off-line optical techniques (optical density and fluorescence) and on-line analysis of digital images. In this study, we found that the chlorophyll fluorescence ratio F685/F740 has a linear correlation with the logarithmic concentration of microalgae. By using digital images, the biomass concentration correlated with the luminosity of the images through an exponential equation and the length of penetration of a super luminescent blue beam ( = 440 nm) through an inversely proportional function. The outcomes of this study are useful to monitor both research and industrial microalgae cultures.


4.
Capítulo de libro - Memoria en libro con arbitraje
Representación de producción primaria en ecosistemas tropicales y semiáridos mediante el uso de indicadores fenológicos
Coronel, Claudia (autora) ; Madrigal Gómez, José M. (autor) ; Alvarado Barrientos, María Susana (autora) ; Rojas Robles, Nidia E. (autora) ; Méndez Barroso, Luis (autor) ; Yépez González, Enrico Arturo (autor) ; Lazcano Hernández, Hugo Enrique (autor) ; Villagran González, Dolores (autora) ; Nevescanín Moreno, Lucía (autora) ; Hernández Arana, Héctor Abuid (autor) ; Rivera, Miguel Á. (autor) ; Garatuza Payán, Jaime (autor) ;
Disponible en línea
Contenido en: Estado actual del conocimiento del ciclo del carbono y sus interacciones en México: síntesis a 2018 / Fernando Paz, Alma Velázquez y Marlén Rojo, editores Álamos, Sonora, México: Programa Mexicano del Carbono : Instituto Tecnológico de Sonora, 2018 páginas 555-561 ISBN:978-607-96490-6-7
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Resumen en: Español | Inglés |
Resumen en español

Entre los indicadores fenológicos que puede dar seguimiento a la productividad primaria destaca el crecimiento de hojas en la estación productiva. Se revisan métricas fenológicas como el inicio y el final de la estación productiva, la amplitud del crecimiento y la duración del verdor, obtenidas con índices de vegetación EVI y NDVI del sensor MODIS y se comparan con observaciones de flujos como NEE y calor latente medidos con torres de covarianza de vórtices. Las ventanas de análisis de datos satelitales se centraron alrededor de 4 sitios ubicados en ecosistemas contrastantes en el norte y sur del país. El índice EVI representó mejor los ciclos interanuales observados en un bosque de encino, matorral subtropical y el bosque tropical seco, en la región del monzón en Sonora. El verdor presenta un rezago de 2 meses respecto a los pulsos de lluvia en el encinar y el mangle, lo que indica una estrategia de uso de agua hacia la evaporación en la estación productiva y una respuesta funcional hacia la optimización de recursos. Se obtienen correlaciones altas y significativas de NEE y con respecto a los índices y variables forzantes como la precipitación, calor latente y Radiación Fotosintéticamente Activa. Los modelos ajustados son aplicables a las ventanas de análisis observadas con los datos MODIS.

Resumen en inglés

Greening is one phenological indicator that feedbacks ecosystem fluxes and productivity at regional and subcontinental scales. Several phenological metrics like starting and ending of growing period, growing amplitude and greening duration were estimated using MODIS vegetation indexes like EVI and NDVI. These metrics were compared with the same traits observed on time series of fluxes such as NEE and latent heat from eddy covariance systems. Analysis windows of MODIS data were centered on 3 different sites observing semiarid environments and one at a tropical ecosystem. EVI index was the best predictor of phenological cycles observed on Quercus forest, sinaloan shrubs and dry tropical forest over the North American monsoon region in Sonora, México. The greening response to water pulses had a lag of two months for the Quercus forest and mangrove, indicating a water use strategy derived by evaporation during the growing period. This functional response suggests optimization of resources use. Valid correlations between NEE and vegetation indexes, water pulses, latent heat and PAR were found, meaning that different models for primary production can be applied to the analysis window observed with MODIS data.


5.
Artículo
Spatio-temporal assessment of chlorophyll a in Banco Chinchorro using remote sensing
Lazcano Hernández, Hugo Enrique (autor) ; Arellano Verdejo, Javier (autor) ; Hernández Arana, Héctor Abuid (autor) ; Alvarado Barrientos, María Susana (autora) ;
Contenido en: Research in Computing Science Vol. 147, no. 12 (December 2018), p. 213–223 ISSN: 1870-4069
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Resumen en: Inglés |
Resumen en inglés

Quantitative assessments of the temporal variances of physical and biological phenomena are very useful for the understanding of ecosystem functioning. Marine ecosystems are very complex, and regarding biodiversity and fishing resources, Banco Chinchorro (BCh) is one of the most important in the south of the Yucatan Peninsula. Additionally, BCh is an important hotspot of assimilation and release of carbon, for which hurricanes play a supporting role by mixing deep and superficial water masses affecting nutrient mixing and distribution. Here, the concentration of chlorophyll a (Chl a) was quantitatively linked to the occurrence of the four most recent hurricanes that affected BCh utilizing time-series analysis of satellite-derived (AQUA-MODIS) data-sets. Interestingly, different Chl aconcentrations between the south and north of BCh were confirmed quantitatively, which points to differential conservation efforts. The aim of this study was also to provide a proof-of-concept for the development of long-term monitoring methodology using remotely sensed data so that it may be replicated in other regions and with other satellite databases.


6.
Artículo - Ponencia
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Spatial chlorophyll fluorescence analysis of Banco Chinchorro using terra and aqua MODIS products
Lazcano Hernández, Hugo Enrique (autor) ; Alvarado Barrientos, María Susana (autora) ; López Adame, Haydée (autora) ; Vega Zepeda, Alejandro (autor) ; Hernández Arana, Héctor Abuid (autor) ;
Contenido en: Research in Computing Science Vol. 143 (November 2017) ISSN: 1870-4069
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Resumen en: Inglés |
Resumen en inglés

Annual average data of four MODIS (Aqua and Terra) products were analyzed, compared and used to explore temporal trends of indicative parameters of net primary productivity and physiological state of phytoplankton in Banco Chinchorro, a coral reef located southeast of the Yucatan Peninsula. The parameters evaluated were: chlorophyll a concentration (Chl a), normalized fluorescence (NFLH), instantaneous photosynthetic active radiation (iPAR) and sea surface temperature (SST4). According with MODIS Aqua, the first results indicate that between 2002 and 2016, there was a small and steady decrease in NFLH (slope m = -0.0008). The temporal trends found were compared against hydro-meteorological events recorded in the region such as tropical storms and hurricanes. Due to lack of information about spatial fluorescence in the study region, the aim of this document is establishes a point of reference for future research, and define a methodology which can be replicated in other regions.