Protocol for Country-Level ASIS. Calibration and national adaptation processes
The idea of ASIS-global is to simulate the analysis that a remote-sensing expert would undertake, and to express the results in simplified form as maps for final users. Every 10 days, ASIS generates a map for the GIEWS team showing “hotspots” around the world where crops are affected by water shortage during the growing period. To avoid generating false alarms, the “hotspots” identified have to be confirmed with data from public institutions and, if possible, checks are conducted on the ground, or socioeconomic variables such as the variation in agricultural product prices are analysed. It is also possible to verify the “hotspots” using agro-meteorological models with data obtained from the national meteorological network, which ultimately show indicator convergence.
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Format: | Texto biblioteca |
Language: | eng |
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Panama City (Panama) FAO
2016
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Subjects: | agricultural land, drought resistance, risk management, early warning systems, monitoring, satellites, agrometeorology, |
Online Access: | http://www.fao.org/3/a-i5246e.pdf |
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unfao:8434852021-05-05T06:52:06ZProtocol for Country-Level ASIS. Calibration and national adaptation processes Rojas, Ó. 187976 1423211761679 FAO, Panama City (Panama). Subregional Office for Mesoamerica eng textPanama City (Panama) FAO2016engThe idea of ASIS-global is to simulate the analysis that a remote-sensing expert would undertake, and to express the results in simplified form as maps for final users. Every 10 days, ASIS generates a map for the GIEWS team showing “hotspots” around the world where crops are affected by water shortage during the growing period. To avoid generating false alarms, the “hotspots” identified have to be confirmed with data from public institutions and, if possible, checks are conducted on the ground, or socioeconomic variables such as the variation in agricultural product prices are analysed. It is also possible to verify the “hotspots” using agro-meteorological models with data obtained from the national meteorological network, which ultimately show indicator convergence. The idea of ASIS-global is to simulate the analysis that a remote-sensing expert would undertake, and to express the results in simplified form as maps for final users. Every 10 days, ASIS generates a map for the GIEWS team showing “hotspots” around the world where crops are affected by water shortage during the growing period. To avoid generating false alarms, the “hotspots” identified have to be confirmed with data from public institutions and, if possible, checks are conducted on the ground, or socioeconomic variables such as the variation in agricultural product prices are analysed. It is also possible to verify the “hotspots” using agro-meteorological models with data obtained from the national meteorological network, which ultimately show indicator convergence. agricultural landdrought resistancerisk managementearly warning systemsmonitoringsatellitesagrometeorology458169http://www.fao.org/3/a-i5246e.pdf |
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agricultural land drought resistance risk management early warning systems monitoring satellites agrometeorology agricultural land drought resistance risk management early warning systems monitoring satellites agrometeorology |
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agricultural land drought resistance risk management early warning systems monitoring satellites agrometeorology agricultural land drought resistance risk management early warning systems monitoring satellites agrometeorology Rojas, Ó. 187976 1423211761679 FAO, Panama City (Panama). Subregional Office for Mesoamerica eng Protocol for Country-Level ASIS. Calibration and national adaptation processes |
description |
The idea of ASIS-global is to simulate the analysis that a remote-sensing expert would undertake, and to express the results in simplified form as maps for final users. Every 10 days, ASIS generates a map for the GIEWS team showing “hotspots” around the world where crops are affected by water shortage during the growing period. To avoid generating false alarms, the “hotspots” identified have to be confirmed with data from public institutions and, if possible, checks are conducted on the ground, or socioeconomic variables such as the variation in agricultural product prices are analysed. It is also possible to verify the “hotspots” using agro-meteorological models with data obtained from the national meteorological network, which ultimately show indicator convergence. |
format |
Texto |
topic_facet |
agricultural land drought resistance risk management early warning systems monitoring satellites agrometeorology |
author |
Rojas, Ó. 187976 1423211761679 FAO, Panama City (Panama). Subregional Office for Mesoamerica eng |
author_facet |
Rojas, Ó. 187976 1423211761679 FAO, Panama City (Panama). Subregional Office for Mesoamerica eng |
author_sort |
Rojas, Ó. 187976 |
title |
Protocol for Country-Level ASIS. Calibration and national adaptation processes |
title_short |
Protocol for Country-Level ASIS. Calibration and national adaptation processes |
title_full |
Protocol for Country-Level ASIS. Calibration and national adaptation processes |
title_fullStr |
Protocol for Country-Level ASIS. Calibration and national adaptation processes |
title_full_unstemmed |
Protocol for Country-Level ASIS. Calibration and national adaptation processes |
title_sort |
protocol for country-level asis. calibration and national adaptation processes |
publisher |
Panama City (Panama) FAO |
publishDate |
2016 |
url |
http://www.fao.org/3/a-i5246e.pdf |
work_keys_str_mv |
AT rojaso187976 protocolforcountrylevelasiscalibrationandnationaladaptationprocesses AT 1423211761679faopanamacitypanamasubregionalofficeformesoamericaeng protocolforcountrylevelasiscalibrationandnationaladaptationprocesses |
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1768618683785019392 |