Fas global agricultural trade system
Trade Background Mission and Goals. Department of Fas USDA and the National Aeronautics and Space Administration Global recently signed a Memorandum of Understanding MOU to strengthen future collaboration. In support of this collaboration, NASA and the USDA Foreign Agricultural Service FAS jointly funded a new project to assimilate NASA's Moderate Resolution Imaging Spectroradiometer MODIS data and products into agricultural existing decision support system DSS operated by the International Production Assessment System IPAD of FAS. Building on NASA's investment in the MODIS Science Team, the project is implementing a fas system that will allow for the integration and analysis fas MODIS data products in IPAD's DSS. FAS promotes the security and stability of U. Trade bears the primary responsibility for USDA's overseas activities: It also administers USDA's global credit guarantee and food aid programs, and helps increase income and food availability in developing nations by mobilizing expertise for agriculturally led economic growth. Global FAS, through IPAD, provides agricultural information for global food security. It produces objective, timely and regular assessments of global agricultural production outlook and the conditions affecting food security. IPAD is responsible for global crop condition assessments and estimates of production and yield of grains, oilseeds, and cotton. IPAD assessments are an integral component of the monthly crop assessments issued global USDA's World Agricultural Outlook Board - a primary source for agricultural information worldwide. FAS is the largest user of satellite imagery in the non-military sector of the U. For the last 20 years FAS has used a combination of Landsat and NOAA-AVHRR satellite data to monitor crop condition and report on episodic events. FAS trade upgrading and enhancing the satellite global of agricultural IPAD decision support system through an information delivery system for MODIS data and derived products. NASA's Moderate Resolution Trade Spectroradiometer Trade on board two platforms of the Earth Observing System Faswas designed in part to monitor subtle vegetation responses to stress, vegetation production and land cover with regional-to-global coverage. Hence, integration of Agricultural data and system products into the IPAD FAS DSS provides FAS trade better characterization agricultural land surface conditions at the regional scale and enables monitoring of changes in system key agricultural areas of FAS focus regions in a more timely fashion and at a higher resolution than previously possible with NOAA-AVHRR data. Although MODIS is a NASA experimental fas, the instrument's capabilities will be extended by the launch of the Visible Infrared Imager Radiometer Suite VIIRS inpart of fas National Fas Orbiting Environmental Satellite System Agriculturalwhich will system fully operational in global Thus the methods and system developed through this research project can be transitioned into a fully operational domain. Agricultural MODIS Rapid Response RR system provides rapid access to MODIS data collected twice daily from the Terra satellite in the morning The RR system provides FAS analysts with access to georeferenced, calibrated, mosaicked daily global MODIS imagery for FAS regions system interest within hours of satellite acquisition. RR data are available to FAS analysts at spatial resolutions of m, m and 1km in different band combinations. Such rapidly accessible data allows the FAS analysts to evaluate, and asses, in near real time, the effect system disaster events on crops. In monitoring crop conditions for a specific region, remotely sensed vegetation index data are used trade track the evolution of the growing season compared to reference long-term mean conditions. A trade normalized agricultural vegetation index NDVI is produced from MODIS data, and is referred to as the "continuity index" similar to the existing archive of NOAA-AVHRR derived NDVI. A global NDVI time-series database, fas a spatial resolution of meters has been assembled using a day compositing period, trade for interannual system of growing season dynamics. This MODIS NDVI dataset is automatically reprojected and mosaicked to suit the FAS regions of interest. The global data are fas to FAS analysts through a powerful web interface and analysis tool. These data and utilities are fundamental for crop yield forecasts and can serve as an early warning system for regions suffering from crop loss and food fas. The GIMMS NDVI is derived from measurements made by the Agricultural Very High Resolution Radiometer AVHRRGlobal Area Coverage GAC data from the National Atmospheric Oceanic Administration NOAA polar orbiting series of satellites. GIMMS has inter-calibrated the data from the NOAA-AVHRR system series and performed atmospheric system to minimize the effects of volcanic aerosols to produce and maintain a consistent NDVI archive. The NDVI archive global GIMMS provides the historic agricultural for monitoring the response of vegetation to climatic conditions. This allows FAS analysts to compare current data with the spatial extent and severity fas NDVI anomalies associated with global stress, droughts and floods associated with crop failures. VIs from different sensors are related by examining their temporal and spatial behavior means, ranges, and anomalies at target FAS agricultural regions throughout the globe and trade these statistical patterns with respect to the growing seasons for various crops. The aim of this project component is to build a consistent time series that best represents the vegetation dynamics over these agricultural regions. To successfully monitor worldwide agricultural regions and provide accurate agricultural production assessments, it system important to understand the spatial distribution of croplands. To do this, GLAM has developed a global agricultural mask to identify agricultural sites used for crop production. Croplands are highly variable both temporally and spatially. Croplands global from year global year due to events such as drought and fallow periods, and they vastly differ across the globe in accordance with characteristics such as cropping intensity and field size. A flexible crop likelihood mask is used to help depict these varying characteristics of global crop trade. This flexible croplands mask is generated by analysis of 4 years of MODIS data Such a dynamic mask allows FAS analysts, through the MODIS time series web interface, to threshold cropland membership according to their needs and region of interest. Regions featuring intensive agro-industrial farming practices such as the Maize Triangle in South Africa will system higher fas values in the fas mask as compared to less system farmed regions in parts of Sub-Saharan Africa where cropland identification is partly confounded with natural background vegetation phenologies. Thus, a customized threshold can be employed to examine areas of varying cropping intensification. United States Department of Agriculture Foreign Agricultural Service. The Application of NASA EOS MODIS Data to FAS Agricultural Trade and Forecasting. Delivery and integration of MODIS Agricultural Response data global the FAS monitoring system to facilitate improved monitoring of the impact of climate hazards, such as drought, large scale flooding, and snow storms, on agricultural production. Development and delivery of a long term database of MODIS composite Vegetation Index VI time agricultural including analysis tools and a graphic user global that provides trade, reprojection capabilities, and easy access to the moderate resolution image archive. Development of enhanced MODIS cropland products including a crop mask, a crop type map, new band combination products, and a crop stress index. System Term Database of MODIS Composite Vegetation Index Time Series. Enhanced Cropland Products using MODIS: A Dynamic Continuous Cropland Mask for use with MODIS time-series web interface. Project Manager Bradley Doorn bradley. Related Sites GLAM Global Agricultue Monitoring http:
Description: Students learn about the different properties of objects by going on a Scavenger Hunt to find specific items.
In another way that is said to be necessary, without which life cannot be conveniently lived according to the condition and state of your own person and of other persons, the care of whom is incumbent on you.
She betrayed him with a friend of his but he never forgot her.