Dragon 4 – Satellite based analysis of diseases on permanent and row crops in Italy and China

LANEVE Giovanni; LUCIANI Roberto; MARZIALETTI Pablo; PIGNATTI Stefano; HUANG Wejiang; SHI Yue; DONG YingYing; YE Huichun; Scuola di Ingegneria Aerospaziale; Sapienza Università di Roma; Roma; Italy; roberto.luciani; uniromait

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Dragon 4 – Satellite based analysis of diseases on permanent and row crops in Italy and China
Vol. 24, Issue S1, Pages: 39-49(2020)
Received：21 October 2019，

Accepted：26 April 2020，

Published：07 June 2020
DOI：
稿件说明：

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DOI：

Laneve G,Luciani R,Marzialetti P,Pignatti S,Huang W J,Shi Y,Dong Y Y,Ye H C, Scuola di Ingegneria Aerospaziale and Sapienza Università di Roma. 2020. Dragon 4 – Satellite based analysis of diseases on permanent and row crops in Italy and China. Journal of Remote Sensing(Chinese). 24(S1): 39-49 DOI：

摘要

Abstract

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

and Re

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.

关键词

Keywords

references

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