收稿：2019-10-21，
录用：2020-04-26，
纸质出版：2020-06-07
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A The AMEOS (Assimilating Multi-source Earth Observation Satellite data for crop pests and diseases monitoring and forecasting) project aims to bring together cutting edge research to provide pest and disease monitoring and forecast information
integrating multi-source information (Earth Observation
meteorological
entomological and plant pathological
etc.) to support decision making in the sustainable management of insect pests and diseases in agriculture. The main objective of the
project
that is
improving crop diseases and pests monitoring and forecasting
will be achieved by utilizing EO data
developing new algorithms
and combining new and existing data from multi-source EO sensors to produce high spatial and temporal land surface information. The project foresees the assessment of the possibility of using available satellite images datasets to assess the evolution of diseases on permanent (olive groves
vineyards)
or row crops (wheat) in Italy and China. The paper describes the results of the research activity which focused on: (i) improving the classification of the agricultural areas devoted to winter wheat and olive trees
starting from what has been made available from the Corine Land Cover initiative; (ii) developing an approach suitable to be automated for estimating trees by using Sentinel 2 images; (iii) developing a new index
REDSI (consisting of Red
Re
1
and Re
3
bands)
for detecting and monitoring yellow rust infection of winter wheat at the canopy and regional scale. The research activity covers the: 1) Province of Lecce
that is the Italian area strongly affected
since 2015
by the Xylella fastidiosa disease which causes a rapid decline in olive plantations. 2) Province of Anyang
Neihuang county
which was affected by the yellow rust disease in the spring 2017.
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