This paper presents the results of a collaboration between Italian and Chinese research groups carried out under the context of the GEO work programme and AfricultuReS H2020 project. The paper encompasses three main aspects: (a) the description of some results on the high resolution crop mapping carried out in some African countries in the framework of the AfricultuReS project; (b) the description of the results on the crop early warning service delivered in the framework of the AfricultuReS project; and (c) based on the multi-source data, the factors that have an important influence on the desert locust occurrence and spread process were extracted, the desert locust disaster monitoring model was constructed, and the desert locust in Somali was quantitative monitored and analyzed. The connection between the three points mentioned above must be sought in the fact that the combination of an accurate mapping of agricultural areas accompanied by techniques for estimating any threats to them allows to accurately estimate the possible effect in terms of production loss.

Sino-Eu Earth Observation Data to Support the Monitoring and Management of Agricultural Resources / Laneve, G.; Saquella, S.; Huang, W.; Orsi, R.. - 2022-July:(2022), pp. 4372-4375. (Intervento presentato al convegno IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium tenutosi a Kuala Lumpur; Malaysia) [10.1109/IGARSS46834.2022.9884557].

Sino-Eu Earth Observation Data to Support the Monitoring and Management of Agricultural Resources

Laneve G.;Saquella S.
;
Huang W.;Orsi R.
2022

Abstract

This paper presents the results of a collaboration between Italian and Chinese research groups carried out under the context of the GEO work programme and AfricultuReS H2020 project. The paper encompasses three main aspects: (a) the description of some results on the high resolution crop mapping carried out in some African countries in the framework of the AfricultuReS project; (b) the description of the results on the crop early warning service delivered in the framework of the AfricultuReS project; and (c) based on the multi-source data, the factors that have an important influence on the desert locust occurrence and spread process were extracted, the desert locust disaster monitoring model was constructed, and the desert locust in Somali was quantitative monitored and analyzed. The connection between the three points mentioned above must be sought in the fact that the combination of an accurate mapping of agricultural areas accompanied by techniques for estimating any threats to them allows to accurately estimate the possible effect in terms of production loss.
2022
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
crop; pests; map; satellite; warning; agriculture; remote sensing
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Sino-Eu Earth Observation Data to Support the Monitoring and Management of Agricultural Resources / Laneve, G.; Saquella, S.; Huang, W.; Orsi, R.. - 2022-July:(2022), pp. 4372-4375. (Intervento presentato al convegno IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium tenutosi a Kuala Lumpur; Malaysia) [10.1109/IGARSS46834.2022.9884557].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1666523
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