Search Results - "Masks."
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Determination of snow cover from MODIS data for the Tibetan Plateau Region
Published 2013“…To reduce the effect of the misclassification of snow and cloud cover, a normalized difference cloud index (NDCI) model is proposed to discriminate snow/cloud pixels, separate from the MODIS cloud mask product MOD35. The MODIS land surface temperature (LST) product MOD11 L2 is also used to ensure better accuracy of the snow cover classification. …”
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Journal Article -
Development and validation of an automatic thermal imaging process for assessing plant water status
Published 2017“…In case of existence, a mask was performed for the extraction of intermediate pixels to calculate canopy temperature by means of the thermal image. …”
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Artículo -
Las plagas de los cítricos. Desde los primeros tiempos hasta el siglo XIX.
Published 2021“…Como ejemplo, podemos referirnos a lo que ocurrió cuando en Andalucía aparecieron, en 1968 la mosca blanca (Aleurothrixus floccosus Mask.) y en 1993 el minador de las hojas (Phyllocnistis citrella Stainton). …”
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Ensayos de aclimatación de Leptomastix dactylopii Howard, parasito del “cotonet” o “algodón” de los agrios (Pseudococcus citri Risso)
Published 2023“…El Cryptolaemus es una especie eminentemente útil, aunque su eficacia no puede compararse a la del Novims cardinalis, enemigo de la «Cochinilla acanalada» (Icerya purchasi Mask), que ocupa el primer lugar entre los insectos auxiliares del agricultor. …”
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Yield prediction of four bean (Phaseolus vulgaris) cultivars using vegetation indices based on multispectral images from UAV in an arid zone of Peru
Published 2023“…The multispectral images were analyzed with two methods: (1) a mask of only the crop canopy with supervised classification constructed with QGIS software; and (2) the grids corresponding to each plot (n = 48) without classification. …”
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Artículo -
First retrospective studies with etiological confirmation of porcine transmissible gastroenteritis virus infection in Argentina
Published 2018“…The clinical diagnosis of TGEV infections in endemic regions is challenging due to the epidemiological distribution and coinfection with other enteric pathogens that mask the clinical presentation.…”
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Artículo -
The global mangrove watch - a New 2010 global baseline of mangrove extent
Published 2018“…The methodology developed is primarily based on the classification of ALOS PALSAR and Landsat sensor data, where a habitat mask was first generated, within which the classification of mangrove was undertaken using the Extremely Randomized Trees classifier. …”
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Journal Article -
Risk of Climate-Related Impacts on Global Rangelands - A Review and Modelling Study
Published 2021“…These averaged global estimates mask large spatial heterogeneities, with 74% of global rangeland area projected to experience a decline in mean biomass, 64% an increase in inter-annual variability and 54% an increase in intra-annual variability. …”
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Conference Paper -
Automatization and evaluation of a remote sensing-based indicator for wetland health assessment in East Africa on national and local scales
Published 2023“…Its automatic calculation, use of regular Sentinel-2 derived time series, and automatic cloud and cloud shadow masking renders WUI applicable for wetland management and produces high quality results with minimal user requirements, even under cloudy conditions. …”
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Journal Article -
Data issues in analyzing agri-food trade in BIMSTEC: Challenges and recommendations
Published 2023“…Additionally, bigger data sets may contain more noise, which can mask important systematic patterns. In analysis of trade flows, notwithstanding the rising incidence of differentiated products (varieties) and value chains that transcend national boundaries, methods in agri-food trade analysis in particular have not kept pace in terms of empirical methods and suitable data.…”
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Brief -
A&T Ethiopia Adolescent Nutrition Baseline Survey 2019: Adolescent Girl
Published 2022“…The evaluation used a two-arm cluster-randomized, non-masked trial design, consisting of two cross-sectional surveys of in-school adolescent girls aged 10-14 years enrolled in grades 4-8. …”
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Conjunto de datos -
A&T Ethiopia Adolescent Nutrition Baseline Survey 2019: Teacher/Principal
Published 2022“…The evaluation used a two-arm cluster-randomized, non-masked trial design, consisting of two cross-sectional surveys of in-school adolescent girls aged 10-14 years enrolled in grades 4-8. …”
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A&T Ethiopia Adolescent Nutrition Baseline Survey 2019: Health Extension Worker
Published 2022“…The evaluation used a two-arm cluster-randomized, non-masked trial design, consisting of two cross-sectional surveys of in-school adolescent girls aged 10-14 years enrolled in grades 4-8. …”
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A&T Ethiopia Adolescent Nutrition Baseline Survey 2019: Parent
Published 2022“…The evaluation used a two-arm cluster-randomized, non-masked trial design, consisting of two cross-sectional surveys of in-school adolescent girls aged 10-14 years enrolled in grades 4-8. …”
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A&T Ethiopia Maternal Nutrition Baseline Survey 2019: Health Facility
Published 2022“…The evaluation used a two-arm cluster-randomized, non-masked trial design, consisting of two cross-sectional surveys at baseline and endline. …”
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A&T Ethiopia Adolescent Nutrition Endline Survey 2021: Primary School
Published 2023“…The evaluation used a two-arm cluster-randomized, non-masked trial design, consisting of two cross-sectional surveys of in-school adolescent girls aged 10-14 years enrolled in grades 4-8. …”
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Conjunto de datos -
Trends and composition of government expenditures on agriculture in Ghana, 1960-2015
Published 2019“…It is a public corporation that engages in market-based production activities financed entirely by the cocoa subsector that it serves, and there is no transfer from taxpayers through the Cocobod to the entire agricultural sector.2 Along with these inconsistencies with the official AU guidance note, the estimates and analyses in the two agPER studies mask the relatively low government expenditure in the noncocoa subsector, and may undermine efforts to boost provision of public goods and services in this subsector, which accounts for about 90 percent of Ghana’s agricultural gross domestic product (GDP). …”
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Brief -
Spatial rice yield estimation based on MODIS and Sentinel-1 SAR data and ORYZA crop growth model
Published 2018“…SAR data were used to generate rice area maps using MAPScape-RICE to mask LAI map products for further processing, including smoothing with logistic function and running yield simulation using the ORYZA crop growth model facilitated by the Rice Yield Estimation System (Rice-YES). …”
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Journal Article