Brown bag presentation for TNC in Washington 24th September 2009 on the PARASID habitat monitoring tool. Authored by Andy Jarvis, Louis Reymondin and Jerry Touval.
Andy Jarvis - Parasid Near Real Time Monitoring Of Habitat Change Using A Neu...CIAT
Presentation on the PARASID tool, a habitat monitoring system for Latin America, developed jointly by TNC and CIAT. Presented in a meeting with IDEAM, Bogota, Colombia on 19th September 2009.
Andy Jarvis Parasid Near Real Time Monitoring Of Habitat Change Using A Neura...CIAT
Presentation for the TNC Science Cabinet on the PARASID habitat monitoring tool, authored by Andy Jarvis and Louis Reymondin of CIAT and Jerry Touval of TNC. Presented on the 25th September 2009.
Dr. Newell Kitchen - Tools For Managing NitrogenJohn Blue
Tools For Managing Nitrogen - Dr. Newell Kitchen, USDA Agricultural Research Service (ARS), from the 2018 Conservation Tillage and Technology Conference, March 6 - 7, Ada, OH, USA.
More presentations at https://www.youtube.com/channel/UCZBwPfKdlk4SB63zZy16kyA
Andy Jarvis - Parasid Near Real Time Monitoring Of Habitat Change Using A Neu...CIAT
Presentation on the PARASID tool, a habitat monitoring system for Latin America, developed jointly by TNC and CIAT. Presented in a meeting with IDEAM, Bogota, Colombia on 19th September 2009.
Andy Jarvis Parasid Near Real Time Monitoring Of Habitat Change Using A Neura...CIAT
Presentation for the TNC Science Cabinet on the PARASID habitat monitoring tool, authored by Andy Jarvis and Louis Reymondin of CIAT and Jerry Touval of TNC. Presented on the 25th September 2009.
Dr. Newell Kitchen - Tools For Managing NitrogenJohn Blue
Tools For Managing Nitrogen - Dr. Newell Kitchen, USDA Agricultural Research Service (ARS), from the 2018 Conservation Tillage and Technology Conference, March 6 - 7, Ada, OH, USA.
More presentations at https://www.youtube.com/channel/UCZBwPfKdlk4SB63zZy16kyA
Presentation made by Andy Jarvis from the Decision and Policy Analysis Program of the International Centre for Tropical Agriculture (CIAT). Delivered to the Science leadership Team in The Nature Conservancy (TNC) in December 2009.
Andy Jarvis Parasid Near Real Time Monitoring Of Habitat Change Using A Neura...CIAT
Presentation on the PARASID tool, a habitat monitoring system for Latin America, developed jointly by TNC and CIAT. Presentation made in the Workshop on Integrated Space Technologies Applications for Sustainable Development in the Mountain Regions of Andean Countries on 15th September 2009.
Parker, L. Navarro-Racines, C. Available data for crop modelling and applications using EcoCrop. Second training in Climate vulnerability analysis using the EcoCrop model, organized by Mozambique Institute of Agricultural Research (IIAM) and the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). Speaker and mentor. August – September 2014, Maputo-Mozambique.
We present a survey of computational and applied mathematical techniques that have the potential to contribute to the next generation of high-fidelity, multi-scale climate simulations. Examples of the climate science problems that can be investigated with more depth with these computational improvements include the capture of remote forcings of localized hydrological extreme events, an accurate representation of cloud features over a range of spatial and temporal scales, and parallel, large ensembles of simulations to more effectively explore model sensitivities and uncertainties.
Numerical techniques, such as adaptive mesh refinement, implicit time integration, and separate treatment of fast physical time scales are enabling improved accuracy and fidelity in simulation of dynamics and allowing more complete representations of climate features at the global scale. At the same time, partnerships with computer science teams have focused on taking advantage of evolving computer architectures such as many-core processors and GPUs. As a result, approaches which were previously considered prohibitively costly have become both more efficient and scalable. In combination, progress in these three critical areas is poised to transform climate modeling in the coming decades.
The performance of portable mid-infrared spectroscopy for the prediction of s...ExternalEvents
This presentation was presented during the 3 Parallel session on Theme 1, Monitoring, mapping, measuring, reporting and verification (MRV) of SOC, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. Martin Soriano-Disla, CSIRO Land and Water - Australia, in FAO Hq, Rome
From the event:
COP20/CMP10 UN Climate Change Conference.
Organized by the UNEP and UNFCCC COP. Lima, Peru. (December 1st – 12th 2014).
http://www.mmechanisms.org/e/cop20_japanpavilion/
Using well-established empirical and mechanistic models such as Ecocrop, Maxent, DSSAT to assess the impact of climate change on productivity and climate-suitability of crops and production systems.
The climate and earth sciences have recently undergone a rapid transformation from a data-poor
to a data-rich environment. In particular, massive amount of data about Earth and its
environment is now continuously being generated by a large number of Earth observing satellites
as well as physics-based earth system models running on large-scale computational platforms.
These massive and information-rich datasets offer huge potential for understanding how the
Earth's climate and ecosystem have been changing and how they are being impacted by humans’
actions. This talk will discuss various challenges involved in analyzing these massive data sets
as well as opportunities they present for both advancing machine learning as well as the science
of climate change in the context of monitoring the state of the tropical forests and surface water
on a global scale.
Durante la Semana de la Agricultura y la Alimentación, el Programa de Investigación del CGIAR en Cambio Climático, Agricultura y Seguridad Alimentaria – CCAFS, la Organización de las Naciones Unidas para la Alimentación y la Agricultura, FAO, y el Centro Internacional de Agricultura Tropical – CIAT, apoyaron la II Reunión Internacional de Ministros y altas autoridades de agricultura sobre agricultura sostenible y cambio climático con un documento base y su presentación sobre los retos que representa el cambio climático para la agricultura en Latino América y el Caribe.
Taller sobre intervenciones en nutrición, género y agricultura: situación actual y oportunidades futuras’, organizado por el CIAT y HarvestPlus en Ciudad de Guatemala. Leer más: http://ow.ly/XNIv30mGYBv
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This presentation was presented during the 3 Parallel session on Theme 1, Monitoring, mapping, measuring, reporting and verification (MRV) of SOC, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. Martin Soriano-Disla, CSIRO Land and Water - Australia, in FAO Hq, Rome
From the event:
COP20/CMP10 UN Climate Change Conference.
Organized by the UNEP and UNFCCC COP. Lima, Peru. (December 1st – 12th 2014).
http://www.mmechanisms.org/e/cop20_japanpavilion/
Using well-established empirical and mechanistic models such as Ecocrop, Maxent, DSSAT to assess the impact of climate change on productivity and climate-suitability of crops and production systems.
The climate and earth sciences have recently undergone a rapid transformation from a data-poor
to a data-rich environment. In particular, massive amount of data about Earth and its
environment is now continuously being generated by a large number of Earth observing satellites
as well as physics-based earth system models running on large-scale computational platforms.
These massive and information-rich datasets offer huge potential for understanding how the
Earth's climate and ecosystem have been changing and how they are being impacted by humans’
actions. This talk will discuss various challenges involved in analyzing these massive data sets
as well as opportunities they present for both advancing machine learning as well as the science
of climate change in the context of monitoring the state of the tropical forests and surface water
on a global scale.
Durante la Semana de la Agricultura y la Alimentación, el Programa de Investigación del CGIAR en Cambio Climático, Agricultura y Seguridad Alimentaria – CCAFS, la Organización de las Naciones Unidas para la Alimentación y la Agricultura, FAO, y el Centro Internacional de Agricultura Tropical – CIAT, apoyaron la II Reunión Internacional de Ministros y altas autoridades de agricultura sobre agricultura sostenible y cambio climático con un documento base y su presentación sobre los retos que representa el cambio climático para la agricultura en Latino América y el Caribe.
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8. Methodology As required by the ARD algorithm, each input and the hidden output is a weights class with its own α α 0 α c INPUTS : Past NDVI (MODIS 3b42) Previous rainfall (TRMM) Temperature (WorldClim) OUTPUT : 16 day predicted NDVI NDVI t Precipitation (t) Temperature (t) … … w 0 w 1 w 2 NDVI (t-1) NDVI (t-2) NDVI (t-n) w p1 w p2 w p3 w o1 w o2 w o3
52. Model comparison PARASID vs. FORMA PARASID detections First detection in 2004 FORMA probabilities First detection in 2000
53. PARASID vs DETER It seems Parasid model detects quite small and isolate events which Deter doesn’t detect. 2006 2004
54.
55. Analysis of three images between the years 2000 and 2009. MATO-GROSSO – BRASIL LAT: - 10.1, LON: - 51.3 10/10/2000 LANDSAT 7 SLC ON 29/06/2009 LANDSAT 7 SLC OFF CLASSIFIED IMAGES IN ERDAS Forest Uncoverage Change 00-09 Unchanged CHANGE DETECTION IN ERDAS