New Functionalities and Regional/National Use Cases of the Anomaly Hotspots of Agricultural Production (ASAP) Platform
The Anomaly hotSpots of Agricultural Production (ASAP) Decision Support System was launched operationally in 2017 for providing timely early warning information on agricultural production based on Earth Observation and agro-climatic data in an open and easy to use online platform. Over the last thre...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/17/4284 |
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| author | Felix Rembold Michele Meroni Viola Otieno Oliver Kipkogei Kenneth Mwangi João Maria de Sousa Afonso Isidro Metódio Tuleni Johannes Ihadua Amílcar Ernesto A. José Louis Evence Zoungrana Amjed Hadj Taieb Ferdinando Urbano Maria Dimou Hervé Kerdiles Petar Vojnovic Matteo Zampieri Andrea Toreti |
| author_facet | Felix Rembold Michele Meroni Viola Otieno Oliver Kipkogei Kenneth Mwangi João Maria de Sousa Afonso Isidro Metódio Tuleni Johannes Ihadua Amílcar Ernesto A. José Louis Evence Zoungrana Amjed Hadj Taieb Ferdinando Urbano Maria Dimou Hervé Kerdiles Petar Vojnovic Matteo Zampieri Andrea Toreti |
| author_sort | Felix Rembold |
| collection | DOAJ |
| description | The Anomaly hotSpots of Agricultural Production (ASAP) Decision Support System was launched operationally in 2017 for providing timely early warning information on agricultural production based on Earth Observation and agro-climatic data in an open and easy to use online platform. Over the last three years, the system has seen several methodological improvements related to the input indicators and to system functionalities. These include: an improved dataset of rainfall estimates for Africa; a new satellite indicator of biomass optimised for near-real-time monitoring; an indicator of crop and rangeland water stress derived from a water balance accounting scheme; the inclusion of seasonal precipitation forecasts; national and sub-national crop calendars adapted to ASAP phenology; and a new interface for the visualisation and analysis of high spatial resolution Sentinel and Landsat data. In parallel to these technical improvements, stakeholders and users uptake was consolidated through the set up of regionally adapted versions of the ASAP system for Eastern Africa in partnership with the Intergovernmental Authority on Development (IGAD) Climate Prediction and Applications Centre (ICPAC), for North Africa with the Observatoire du Sahara et du Sahel (OSS), and through the collaboration with the Angolan National Institute of Meteorology and Geophysics (INAMET), that used the ASAP system to inform about agricultural drought. Finally, ASAP indicators have been used as inputs for quantitative crop yield forecasting with machine learning at the province level for Algeria’s 2021 and 2022 winter crop seasons that were affected by drought. |
| first_indexed | 2024-03-10T23:13:57Z |
| format | Article |
| id | doaj.art-f907c0687b5644bca7ca2ec3f1f5bd27 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T23:13:57Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-f907c0687b5644bca7ca2ec3f1f5bd272023-11-19T08:47:02ZengMDPI AGRemote Sensing2072-42922023-08-011517428410.3390/rs15174284New Functionalities and Regional/National Use Cases of the Anomaly Hotspots of Agricultural Production (ASAP) PlatformFelix Rembold0Michele Meroni1Viola Otieno2Oliver Kipkogei3Kenneth Mwangi4João Maria de Sousa Afonso5Isidro Metódio Tuleni Johannes Ihadua6Amílcar Ernesto A. José7Louis Evence Zoungrana8Amjed Hadj Taieb9Ferdinando Urbano10Maria Dimou11Hervé Kerdiles12Petar Vojnovic13Matteo Zampieri14Andrea Toreti15Joint Research Centre (JRC), European Commission, Via E. Fermi 2749, I-21027 Ispra, VA, ItalyJoint Research Centre (JRC), European Commission, Via E. Fermi 2749, I-21027 Ispra, VA, ItalyIntergovernmental Authority on Development (IGAD) Climate Prediction and Applications Centre (ICPAC), Nairobi P.O. Box 10304-00100, KenyaIntergovernmental Authority on Development (IGAD) Climate Prediction and Applications Centre (ICPAC), Nairobi P.O. Box 10304-00100, KenyaIntergovernmental Authority on Development (IGAD) Climate Prediction and Applications Centre (ICPAC), Nairobi P.O. Box 10304-00100, KenyaInstituto Nacional de Meteorologia e Geofísica de Angola (INAMET), Rua 21 de Janeiro, Rotunda do Gamek à Direita, S/N-RC, Luanda 1323, AngolaInstituto Nacional de Meteorologia e Geofísica de Angola (INAMET), Rua 21 de Janeiro, Rotunda do Gamek à Direita, S/N-RC, Luanda 1323, AngolaInstituto Nacional de Meteorologia e Geofísica de Angola (INAMET), Rua 21 de Janeiro, Rotunda do Gamek à Direita, S/N-RC, Luanda 1323, AngolaGIS and Remote Sensing Unit, Observatoire du Sahara et du Sahel (OSS), P.O. Box 31, Boulevard du Leader Yasser Arafat, Tunis 1080, TunisiaGIS and Remote Sensing Unit, Observatoire du Sahara et du Sahel (OSS), P.O. Box 31, Boulevard du Leader Yasser Arafat, Tunis 1080, TunisiaJoint Research Centre (JRC), European Commission, Via E. Fermi 2749, I-21027 Ispra, VA, ItalyJoint Research Centre (JRC), European Commission, Via E. Fermi 2749, I-21027 Ispra, VA, ItalyJoint Research Centre (JRC), European Commission, Via E. Fermi 2749, I-21027 Ispra, VA, ItalyJoint Research Centre (JRC), European Commission, Via E. Fermi 2749, I-21027 Ispra, VA, ItalyJoint Research Centre (JRC), European Commission, Via E. Fermi 2749, I-21027 Ispra, VA, ItalyJoint Research Centre (JRC), European Commission, Via E. Fermi 2749, I-21027 Ispra, VA, ItalyThe Anomaly hotSpots of Agricultural Production (ASAP) Decision Support System was launched operationally in 2017 for providing timely early warning information on agricultural production based on Earth Observation and agro-climatic data in an open and easy to use online platform. Over the last three years, the system has seen several methodological improvements related to the input indicators and to system functionalities. These include: an improved dataset of rainfall estimates for Africa; a new satellite indicator of biomass optimised for near-real-time monitoring; an indicator of crop and rangeland water stress derived from a water balance accounting scheme; the inclusion of seasonal precipitation forecasts; national and sub-national crop calendars adapted to ASAP phenology; and a new interface for the visualisation and analysis of high spatial resolution Sentinel and Landsat data. In parallel to these technical improvements, stakeholders and users uptake was consolidated through the set up of regionally adapted versions of the ASAP system for Eastern Africa in partnership with the Intergovernmental Authority on Development (IGAD) Climate Prediction and Applications Centre (ICPAC), for North Africa with the Observatoire du Sahara et du Sahel (OSS), and through the collaboration with the Angolan National Institute of Meteorology and Geophysics (INAMET), that used the ASAP system to inform about agricultural drought. Finally, ASAP indicators have been used as inputs for quantitative crop yield forecasting with machine learning at the province level for Algeria’s 2021 and 2022 winter crop seasons that were affected by drought.https://www.mdpi.com/2072-4292/15/17/4284agricultureearly warningdroughtdecision support systemfood securityearth observation |
| spellingShingle | Felix Rembold Michele Meroni Viola Otieno Oliver Kipkogei Kenneth Mwangi João Maria de Sousa Afonso Isidro Metódio Tuleni Johannes Ihadua Amílcar Ernesto A. José Louis Evence Zoungrana Amjed Hadj Taieb Ferdinando Urbano Maria Dimou Hervé Kerdiles Petar Vojnovic Matteo Zampieri Andrea Toreti New Functionalities and Regional/National Use Cases of the Anomaly Hotspots of Agricultural Production (ASAP) Platform Remote Sensing agriculture early warning drought decision support system food security earth observation |
| title | New Functionalities and Regional/National Use Cases of the Anomaly Hotspots of Agricultural Production (ASAP) Platform |
| title_full | New Functionalities and Regional/National Use Cases of the Anomaly Hotspots of Agricultural Production (ASAP) Platform |
| title_fullStr | New Functionalities and Regional/National Use Cases of the Anomaly Hotspots of Agricultural Production (ASAP) Platform |
| title_full_unstemmed | New Functionalities and Regional/National Use Cases of the Anomaly Hotspots of Agricultural Production (ASAP) Platform |
| title_short | New Functionalities and Regional/National Use Cases of the Anomaly Hotspots of Agricultural Production (ASAP) Platform |
| title_sort | new functionalities and regional national use cases of the anomaly hotspots of agricultural production asap platform |
| topic | agriculture early warning drought decision support system food security earth observation |
| url | https://www.mdpi.com/2072-4292/15/17/4284 |
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