Tlaloc.

Escrito sobre el marco de la fotografía: "Tlaloc 1985 Pablo Ortiz Monasterio" I.O. Al reverso del positivo: "C PABLO ORTIZ MONASTERIO (rúbrica) /1985 72/99 TLALOC" V.F. con biografía del autor: 470726

Las Armas

En la guarda se lee: "CONSEJO MEXICANO DE FOTOGRAFIA Pablo Ortiz Monasterio "Las armas" 1985". I.O. Al reverso: "c PABLO ORTIZ MONASTERIO (firma)/1985 "LAS ARMAS". Pablo Ortiz Monasterio V.F. 470726. Catalogó: Ariadna Herrera R., 13 de octubre de 2009

Mi compadre

Escrito en la guarda: "25T07 CONSEJO MEXICANO DE FOTOGRAFIA "MI COMPADRE" 1985 Pablo Ortiz Monasterio" I.O. al reverso de la fotografía tiene escrito de PABLO ORTIZ MONASTERIO (firma)/1985 "MI COMPADRE".42/99 Aparece un hombre de pie vestido de danzante mexica, con penacho de plumas, pectoral, brazaletes sostiene una guitarra, posiblemente fuera de una iglesia. Biografía: Pablo Ortiz Monasterio nace en Ciudad de México en 1952. De 1978 a la fecha ha dirigido tres proyectos editoriales: México Indígena (siete títulos), Río de Luz en el Fondo de Cultura Económica (veinte títulos) y Luna Córnea en el Centro de la Imagen (quince títulos). Ha publicado nueve libros con su trabajo fotográfico, destacan Los Pueblos del Viento, 1982, Corazón de Venado, 1992. En 1996 publicó La ultima ciudad con un texto de José Emilio Pacheco por el que recibió el premio al Mejor libro fotográfico del festival La primavera fotográfica de Barcelona, 1998 y el Ojo de oro del Festival des Trois Continets, 1997, Francia. La editorial española Mestizo le publicó Sexo y Progreso en su colección lo mínimo. Su último libro es Dolor y Belleza, sobre un cirujano del Renacimiento publicado por Américo editores, México /Italia, 2000. Ha realizado exposiciones individuales en el Museo de Arte Moderno, en el Centro de la Imagen y en el Palacio de Bellas Artes de México, y en museos y galerías de Estados Unidos, Brasil, Argentina, Venezuela, Ecuador, Cuba, España, Inglaterra, Francia, Holanda, Portugal e Italia. En 2001 fue invitado como curador al festival PhotoEspaña de Madrid. Ha impartido talleres sobre fotografía y edición en Estados Unidos, Cuba, España, Argentina, Ecuador, Brasil y México. Fuente: http://ffundacionpedromeyer.com/china/portiz/indexsp.html consulta en línea 28/09/09

Using precision agriculture and remote sensing techniques to improve genotype selection in a breeding program

Trabajo presentado en la 12th International Conference on Precision Agriculture (ICPA), celebrada en Sacaramento (US) del 20 al 23 de julio de 2014.Precision Agriculture (PA) and Remote Sensing (RS) technologies are increasingly being used as tools to assess crop and soil properties by breeders and physiologists. These technologies are showing potential to improve genotype selections over their traditional field measurements, by providing quick access to crop properties throughout the crop cycle and yield estimation. The objective of this work was to use vegetation indices (VIs) and soil apparent electrical conductivity (ECa) as predictor variables of yield. This information was obtained from a durum wheat yield trial, aiming to estimate yield of different genotypes under full and reduced irrigation. This work was carried out at CIMMYT’s experiment station at Ciudad Obregón/Sonora, Mexico, during 2013 wheat crop cycle. There were four yield trials, two with reduced irrigation (RID) and two with full irrigation (FIG), which tested 112 different genotypes in a completely randomized design with three replications. A flight campaign took place, with six flights, once per week from March to April 2013, using a 6-channel multispectral camera with 10 nm FWHM filters onboard an airplane flying 300 m above ground yielding 0.3 m resolution. The ECa data was collected just before sowing using an EM38 device in each plot. Twenty three different VIs ranging from chlorophyll, structural, red edge ratios and RGB indices were calculated using the multispectral images. A Pearson’s correlation was done using the yield of the check genotypes of each experiment with the VIs of each image and EC a, aiming to explore the potential of each variable on predicting yield. This approach was followed by a subset multiple regression method, using as predict ive variables the VIs coefficients fitted to each genotype considering a quadratic effect plus EC a, to fit the yield of each genotype in a training dataset, and then applied into a Bootstrap method in the cross validation dataset . The significant correlations among yield from the check genotypes and VIs from all images, plus ECa, ranged from -0.82 to 0.73 in the RID and from -0.70 t o 0.60 in the FIG experiment. The correlation coefficients between measured versus predicted yield by the models got mean values of 0.51 (RID) and 0.68 (FIG) using the cross validation dataset, being 0.27 (RID) and 0.47 (FIG) of r-squared, indicating that the use of different VIs together may improve the yield prediction of breeding experiments.This work was funded by CIMMYT, under the aegis of Global Conservation Agriculture Program, and by CGIAR investment body through CRP Wheat.N

Contribution of precision agriculture on assessing the spatial variability of yield and quality in a commercial wheat field

Trabajo presentado en Digital Rural Future Conference 2014, celebrado en Australia en junio de 2014.The agricultural research sector is working to develop new technologies and management knowledge to sustainably increase food productivity, to ensure global food security and decrease poverty. Wheat is one of the most important crops into this scenario, be ing between the two most important cereal commodities produced worldwide . Precision Agriculture (PA) and Remote Sensing (RS) technologies can contribute to increase wheat yield and quality sustainably. For this reason, CIMMYT ’s research agenda aim s at deve lop ing new crop management pr actices using PA technologies . As part of these efforts, an experiment has been established on a wheat farm’s field in the Yaqui Valley , in north western Mexico , sowed on January 2014 . Our hypothesis is that it is possible to as sess the key factors affect ing wheat yield and quality variability, aiming to detect the correctable and uncorrectable main factors . We are also explor ing the potential for wheat growers and processors to adopt a selective harvesting strategy based on grain protein content , extracting greater value from the raw product. Prior t o sowing we carried out a high resolution soil survey using an electromagnetic induction sensor – EM38 , mounted in a wood sled and tractor dragged through the field ; fol lowed by a targeted soil sampling at two depths (0 - 0.3 and 0.3 - 0.6 m ) for physical and chemical soil properties analysis. A weekly flight campaign took place fr o m GS31 stage until harvest, using high resolution airborne hyperspectral and thermal imaging se nsors flying at 600 m above ground , with ground resolution of 0.5 m (hyperspectral) and 0.75 m (thermal) . Yield and quality monitoring will take place during harvest . We expect to assess the spatial variability of yield and quality using the proximal and remote high resolution data , exploring the possibility of a logistic strategy for selective harvesting ; explor ing also the use of those data for a better crop managementN

Multi-Temporal and Spectral Analysis of High-Resolution Hyperspectral Airborne Imagery for Precision Agriculture: Assessment of Wheat Grain Yield and Grain Protein Content

This study evaluates the potential of high resolution hyperspectral airborne imagery to capture within-field variability of durum wheat grain yield (GY) and grain protein content (GPC) in two commercial fields in the Yaqui Valley (northwestern Mexico). Through a weekly/biweekly airborne flight campaign, we acquired 10 mosaics with a micro-hyperspectral Vis-NIR imaging sensor ranging from 400–850 nanometres (nm). Just before harvest, 114 georeferenced grain samples were obtained manually. Using spectral exploratory analysis, we calculated narrow-band physiological spectral indices—normalized difference spectral index (NDSI) and ratio spectral index (RSI)—from every single hyperspectral mosaic using complete two by two combinations of wavelengths. We applied two methods for the multi-temporal hyperspectral exploratory analysis: (a) Temporal Principal Component Analysis (tPCA) on wavelengths across all images and (b) the integration of vegetation indices over time based on area under the curve (AUC) calculations. For GY, the best R2 (0.32) were found using both the spectral (NDSI—Ri, 750 to 840 nm and Rj, ±720–736 nm) and the multi-temporal AUC exploratory analysis (EVI and OSAVI through AUC) methods. For GPC, all exploratory analysis methods tested revealed (a) a low to very low coefficient of determination (R2 ≤ 0.21), (b) a relatively low overall prediction error (RMSE: 0.45–0.49%), compared to results from other literature studies, and (c) that the spectral exploratory analysis approach is slightly better than the multi-temporal approaches, with early season NDSI of 700 with 574 nm and late season NDSI of 707 with 523 nm as the best indicators. Using residual maps from the regression analyses of NDSIs and GPC, we visualized GPC within-field variability and showed that up to 75% of the field area could be mapped with relatively good predictability (residual class: −0.25 to 0.25%), therefore showing the potential of remote sensing imagery to capture the within-field variation of GPC under conventional agricultural practices.This work was funded partially by the CGIAR Research Program on Wheat (www.wheat.org) and by the Spurring Transformation in Agriculture Research (STARS) project—under number 1094229-2014 (www. starsproject.org). Blasch and Taylor were supported by United Kingdom Government funding through the Newton Fund for this work

Figuraciones y signos. Num. 9 Año 3 (2000) mayo-agosto. Alquimia. Sistema Nacional de Fototecas

- La caja de Pandora - A quien corresponda, por Francisco Hernández - ¿Histeria o melancolía?, por Roger Bartra - Cuerpos con memoria ojos que los miran, por Patricia Fajer Camus - Villa en la silla presidencial, por José de la Colina - De la belleza del cuerpo masculino, por Horacio Franco - Obregón y su legado, por Luis Gonzáles de Alba - Dos observaciones sobre el paisaje de Mil Cumbres, por Jan Hendriz - Retrato de padre e hija, por Yishai Jusidman - Dos minutos de microhistoria, por David Huerta - Mujeres en el tranvía, por José Emilio Pacheco - Presagio de la muerte anónima, por Jorge Juanes - María Zavala "la destroyer" ayudo a bien morir a los soldados, por Pablo Ortiz Monasterio - La Bella Unión, por Aureilo de los Reyes - Tumba 59, por Irma Palacios Flores - Francisco Villa llorando, por Ruggiero Romano - Tres turistas en Veracruz, por Ana García Bergua - Hombre kickapú, por Alfredo López Austin - El cielo y la claridad, la tierra y las tinieblas, por Juan Fontcuberta - La dama del perrito, por Cristopher Domínguez Michael - La mujer frente al tribunal, por Carla Rippey - Una forma de memoria, por Gerardo Suter - Los carros del Templo Mayor, por Eduardo López Moctezuma - La fotografía en Michoacán, por Guadalupe Carbajal y Agripina Alfaro Trujillo - Una sobreviviente memoria fotográfica: Dolores Casasola, por Rebeca Monroy Nasr - Polvo de aquellos lodos, por Georgina Rodríguez Hernández - Normas catalográficas del Sistema Nacional de Fototecas del INAH, por Fernando del Moral González - El descubrimiento de las edificaciones mayas de Centroamérica por medio de la fotografía, por Arturo Aguilar Ochoa