The high demand for distilled agave products reduces wild populations. The use of geospatial technologies such as unmanned aerial vehicles (UAVs) offer enormous benefits in spatial and temporal resolution and lower costs than traditional direct field observation techniques for natural resource monitoring. The objective was to estimate the green biomass (Wt) of Agave durangensis Gentry using high-resolution images obtained by a UAV in Nombre de Dios, Durango. Random sampling was performed in the agave area. A Pearson correlation analysis was performed, followed by a regression analysis. The results showed that NDVI was the most correlated (r = 0.65). The regression analysis showed that the model obtained explains 59% (RMSE = 32.06 kg) of the total variability in the estimation of green biomass (Wt) of agave using images derived from the UAV. The best estimate was achieved with B1, B2, NDVI, GNDVI, EVI2, and SAVI as predictor variables. High-resolution images were shown to be a tool for estimating Wt of Agave durangensis Gentry.

Air pollution in urban centers comes from anthropogenic activities. Tropospheric ozone (O₃) depends on chemical precursors that promote an increase in its production, mainly in wind-dominated and large green areas. It is a gas produced by a series of complex chemical reactions catalyzed by sunlight in the atmosphere. It can be concentrated to a greater or lesser extent depending on factors such as the amount of volatile organic compounds (VOCs), the amount of nitrogen dioxide (NO₂), the intensity of solar radiation, or by climatic conditions such as temperature and other factors. The objective of this study was to predict tropospheric ozone levels from Land Surface Temperature (LST) data of Landsat 8 in the city of Durango, Dgo. Tropospheric O₃ and LST values were obtained from 14 sampling points in the urban area of the city of Durango, of which 11 were obtained by collecting from temperature-monitoring station data and the rest from three fixed monitoring stations established in the city, specifically located in Ministry of Natural Resources and Environment (SRNyMA), Durango Institute of Technology (ITD) and Interdisciplinary Research Center for Regional Integral Development Durango Unit (CIIDIR). A correlation analysis was performed for the 12 months of the year 2023. Subsequently, a linear regression analysis was executed for each month. The results showed a greater positive correlation between O₃ concentration and temperature for January (r = 0.91); additionally, this period showed a greater goodness of fit in the prediction of O₃ (R² = 0.91; RMSE = 0.65 ppm). The LST allows for the spatial prediction of ozone concentrations in terms of covering complete urban areas without measuring air stations.

El propósito del trabajo fue determinar la composición química básica de mezclas de aserrín procedentes de aserraderos de tres municipios del Estado de Durango (Pueblo Nuevo, Santiago Papasquiaro y Tepehuanes), así como, madera y corteza de cuatro especies de pino de importancia económica forestal (Pinus arizonica, P. cooperi, P. durangensis y P. engelmannii) para evaluar su potencial para elaboración de biocombustibles densificados. En este material se determinó el pH, contenido de cenizas, sustancias extraíbles, lignina y holocelulosa. En las cenizas se realizó un microanálisis. En la mezcla de aserrín procedentes de los tres municipios se encontraron diferencias estadísticas significativas en el contenido de lignina siendo mayor en Pueblo Nuevo (35.53 %) y menor en Tepehuanes (27.57 %), mientras que el contenido de holocelulosa fue similar en los tres municipios. En las cenizas se identificaron nueve elementos químicos, en mayor concentración el Calcio (40.61 %), Potasio (25.94 %) y Magnesio (19.30 %); la muestra procedente de Santiago Papasquiaro presentó alto contenido de Silicio (22.33 %). En la madera de los cuatro pinos se encontraron diferencias estadísticas significativas en el pH y contenido total de sustancias extraíbles, con un valor de 5.34 y 14.64 %, respectivamente, ambas en P. arizonica; en cenizas el valor más alto (35 %) lo presentó P. durangensis. En las cenizas de madera se identificaron nueve elementos químicos, los más representativos, Calcio (42.91 %) y Potasio (21.89 %) encontrados en P. arizonica; en las cenizas de corteza once elementos, el más alto fue Silicio (43.17 %) en P. arizonica y Calcio (42.90 %) en P. cooperi. No se detectaron metales pesados. El resultado del análisis químico indica que los materiales estudiados tienen potencial de uso como biocombustibles densificados. DOI: https://doi.org/10.54167/tch.v19i2.1912