Monitoring of Desert Locust in Africa and Asia

138 Pages·2023·8.403 MB·English

by  Yingying Dong, Longlong Zhao, Wenjiang Huang

Yingying Dong
Longlong Zhao
Wenjiang Huang
Monitoring of
Desert Locust in
Africa and Asia
Monitoring of Desert Locust in Africa and Asia
· ·
Yingying Dong Longlong Zhao Wenjiang Huang
Monitoring of Desert Locust
in Africa and Asia
Yingying Dong Longlong Zhao
Aerospace Information Research Institute Shenzhen Institute of Advanced
Chinese Academy of Sciences Technology
Beijing, China Chinese Academy of Sciences
Shenzhen, Guangdong, China
Wenjiang Huang
Aerospace Information Research Institute
Chinese Academy of Sciences
Beijing, China
ISBN 978-981-19-7237-9 ISBN 978-981-19-7238-6 (eBook)
https://doi.org/10.1007/978-981-19-7238-6
Jointly published with Science Press
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Foreword
Food is the foundation of human survival, and food security is the cornerstone of
global sustainable development and social stability. Food production and its safety
are eternal topics throughout human society. With the continuous development of
science and technology, human beings have always maintained ethnic continuity
through adaptive changes to the food production security system at all stages of
history. In recent years, global climate change has intensified. Disasters such as
droughts, floods, earthquakes, crop diseases, and pests are increasingly raging. In
particular, the outbreak and accelerated migration and the spread of major global
pests have put countries in the world under the threat of food security shortage. Using
the latest scientific and technological achievements to improve and innovate the food
production security system is the mission of Chinese researchers and a considerable
challenge for approximately 7.6 billion people in the world coping with famine.
In the food production security system, the monitoring, prevention, early warning,
and control of diseases and pests are crucial. In the field of plant protection, traditional
pest monitoring methods based on the ground point sampling and weather-driven
trend of early warning mode can no longer meet the needs for efficient, accurate,
and green prevention and control of pests. It is urgent to promote the scientific inno-
vation and technological development of pest forecasting, prevention, and manage-
ment and effectively promote the system reform in response to the new situation of
global changes. In the context of interdisciplinarity, diseases and pests forecasting
urgently needs the help of remote sensing technology to provide continuous spatial-
temporal information monitoring methods and spatial-temporal linkage information
processing mode. Firstly, promote the innovative development of the spatial-temporal
monitoring and early warning model of diseases and pests by organically combining
diseases and pests biology with remote sensing science; secondly, make full use of
the advantages of remote sensing in the expansion and extension of temporal and
spatial scales, and combine prevention and control needs to build a bridge from scien-
tific research results to practical applications to help promote and implement green
prevention and control; finally, establish pest monitoring and early warning spatial
information service platforms, joint international and domestic major institutions
and government functional departments to prevent and control diseases and pests,
v
vi Foreword
provide scientific and technological service support to ensure agricultural produc-
tion, and realize new theories, methods, and technologies for pest control and disease
prevention under the background of global changes.
The desert locust is the most destructive and major migratory pest in the world.
In this book, the research team studied desert locusts’ breeding area quantitative
extraction, migration path dynamic analysis, and damage monitoring technology,
established a desert locust spatial information system, and produced pest monitoring
application products. It can provide important scientific and technological support for
ensuring global food security, ecological security and maintaining regional stability.
Dr. Yingying Dong, from the Aerospace Information Research Institute, Chinese
Academy of Sciences, Beijing, China, is an outstanding young innovative talent in the
field of remote sensing monitoring and forecasting of vegetation pests and diseases.
She has made a series of research achievements in data processing, monitoring, early
warning modeling, intelligent system development, promotion, application, etc. This
book analyzes the occurrence characteristics of desert locusts and the current status
of monitoring and early warning research, taking the scientific research and practical
applications carried out by the research team in the field of desert locust monitoring
as examples, and comprehensively expounds on the methods and key technologies
of remote sensing monitoring of desert locusts. This book innovatively combines
fundamental theories and cutting-edge technologies to provide data, methods, and
technical support for desert locust control. It is currently a vital reference material
that is rarely seen in the field of spatial information technology applications and plant
protection research and teaching.
In the era of big data, the rapid development of remote sensing technology has
effectively promoted scientific research and its application. We hope the publication
of this book will benefit remote sensing workers, scientific researchers, and exten-
sion individuals related to pest control. We hope this book could arouse colleagues,
especially young scholars, to further explore remote sensing monitoring of pest. I
sincerely hope the authors can bravely climb the peak of science, make more excel-
lent progress in this field, and make new contributions to the promotion of remote
sensing science.
Beijing, China Jihua Wang
December 2020
Preface
Under the background of global climate change, pests are becoming increasingly
severe. The vegetation ecosystem faces unprecedented problems of sustainable devel-
opment, which has a significant impact on ecological security and regional stability.
In order to ensure global food security and human well-being, it is urgent to develop
an innovative scientific and technological system for monitoring and early warning
of vegetation pests, to accelerate the fundamental transformation in pest prevention
and control modes, and to realize smart plant protection and green ecology. Locust
is a major migratory pest in the world. Among all kinds of locusts, desert locust is
the most serious and one of the most threatening pests in the world. It will affect
more than 60 countries and regions in Asia and Africa and endanger agriculture and
animal husbandry production during the plague. In recent years, extreme weather has
occurred frequently, and the outbreak, migration, and spread of pests are increasing,
posing a severe threat to food security. The frequent outbreak and spread of pests
are related to meteorological factors or agriculture management and closely related
to the weakness of rapid monitoring and variation analysis of desert locusts on a
large scale. This is also one of the main reasons why desert locust control has been
hampered.
Traditional pest monitoring mainly relies on manual visual inspection, field
sampling, and other methods. Although these methods are more authentic and
reliable, they are time-consuming and labor-intensive. They have disadvantages,
including poor representativeness, poor timeliness, and intense subjectivity, making
it difficult to adapt to the current needs for timely, scientific, and green prevention
and control on a large scale. Besides, the overuse of pesticides might lead to soil
pollution, water pollution, and other pollution, which seriously affects the quality
and safety of agricultural and animal husbandry products. Therefore, it is necessary to
develop precise and rapid quantitative pest monitoring methods, systems, and appli-
cation products on a large scale. With remote sensing technology, we can acquire
timely, macroscopic, rapid, and dynamic results, which can be further applied to
desert locust monitoring.
On the one hand, remote sensing technology can obtain continuous real-time infor-
mation of the occurrence of pests, outperforming the traditional visual hand-check
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viii Preface
single-point monitoring method and solving the problems of poor representativeness
and poor timeliness of traditional methods. On the other hand, it can quickly obtain
the temporal and spatial habitat information of the occurrence and development of
pests continuously, combined with ground point observation and meteorological data,
etc. With the help of the geographic information system technology, it can analyze
the temporal and spatial dynamics of the suitability of the pest habitat, migration
paths, and infestation situation and make up for the limitation in disaster analysis
with only meteorological data and historical data.
Currently, remote sensing technology has been widely used in the retrieval of land
cover parameters, pest habitat monitoring, pest hazard monitoring, pest occurrence
prediction, loss assessment, etc. With the development of space-to-earth observation,
various remote sensing satellites with high spatial and temporal resolution have been
launched domestically and abroad, including the Chinese Gaofen (GF) series, Amer-
ican Landsat series, and European Space Agency (ESA) Sentinel series. Coupled with
the basic geographic data, land use/cover data, meteorological data, pest survey data,
etc., remote sensing technology provides massive spatial-temporal big data for the
pest dynamic monitoring and loss assessment. It is of great significance for ensuring
food security, ecological security, sustainable agricultural development, and regional
stability to conduct studies on desert locust occurrence mechanisms, rapid desert
locust monitoring on a large scale, and operational monitoring system construction
by using advanced remote sensing technology.
In response to the current needs for high-yield, high-quality, and green agriculture
and animal husbandry, this book systematically analyzed the occurrence character-
istics of desert locusts and the current research progress of damage monitoring.
Taking the scientific research and practical applications conducted by the author’s
team as examples, this book comprehensively described the key technologies of
quantitative extraction of desert locusts’ breeding areas, dynamic analysis of migra-
tion paths, and damage monitoring, established a desert locust spatial information
system, and produced pest monitoring application products. This book innovatively
combined basic theories with cutting-edge technology, provided scientific informa-
tion for desert locust control, offered data and method support for the United Nations
and disaster-affected countries, and supplied important scientific and technolog-
ical support to ensure global food security and ecological security. The research
team has been committed to the research of remote sensing monitoring and early
warning of vegetation diseases and pests for many years. Researcher Wenjiang
Huang from the Aerospace Information Research Institute (AIR), Chinese Academy
of Sciences (CAS), Beijing, China, systematically constructed the framework of
this book, provided detailed technical guidance during the writing of this book, and
completed the writing of Chap. 1. Chapters 2 and 3 were mainly written by Dr.
Yingying Dong from AIR, Beijing, China. Chapters 4 and 5 were mainly written by
Dr. Yingying Dong and Dr. Longlong Zhao from Shenzhen Institute of Advanced
Technology (SIAT), CAS, Shenzhen, China. Dr. Yingying Dong and Dr. Longlong
Zhao were responsible for the drafting of the content of this book. Many experts have
carefully guided the work related to this book. They are Academician Huadong Guo,
Researcher Bing Zhang, Researcher Dongmei Yan, Dr. Jie Liu, Researcher Xiangtao
Preface ix
Fan, Associate Researcher Xiaoping Du, and Associate Researcher Changyong Dou
from AIR as well as Researcher Gensuo Jia from the Institute of Atmospheric Physics
(IAP), CAS, and Researcher Jianhui Li from the Computer Network Information
Center, CAS. We would like to express our sincere gratitude. We also thank Dr.
Qiuyan Li from the Resources and Environment Division of Science Press for her
advice and help in manuscript writing and editing. The publication of this book
reflects the accumulation of many years of work by the research team and takes
advantage of research from many postdoctors and graduate students. Special thanks
go to the postdoctors and graduate students who have worked hard for the compi-
lation and proofreading of this book. They are Chao Ruan, Yun Geng, Ruiqi Sun,
Yanru Huang, Linyi Liu, Biyao Zhang, Chao Ding, Hansu Zhang, Zhongxiang Sun,
Huiqin Ma, Anting Guo, Xueling Li, etc.
The publication of this book has been funded by the Strategic Priority Research
Program of the Chinese Academy of Sciences (XDA19080304), National Key R&D
Program of China (2021YFE0194800), National Natural Science Foundation of
China (42071320, 42071423, 42171323), Alliance of International Science Orga-
nizations (ANSO-CR-KP-2021-06), Dragon 5 proposal: Application Of Sino-Eu
Optical Data Into Agronomic Models To Predict Crop Performance And To Monitor
And Forecast Crop Pests And Diseases (ID 57457), Global Crop Pest and Disease
Habitat Monitoring and Risk Forecasting (CROP PEST MONITORING), etc.
With the deepening development of space-to-earth observation technology and
intelligent agriculture, remote sensing pest monitoring methods and technologies
will continue to mature. Hope the publication of this book could provide reference
for pest remote sensing monitoring and could promote the progress of pest remote
sensing monitoring research. Limited by the authors’ knowledge and energy, there
might be some deficiencies in this book. Any questions from the readers are welcome
to help us improve the research.
Beijing, China Yingying Dong
Shenzhen, Guangdong, China Longlong Zhao
Beijing, China Wenjiang Huang
About This Book
This book focuses on remote sensing monitoring of desert locusts infestation. By
integrating remote sensing science, geographic information science, agronomy, plant
protection, agricultural meteorology, mathematics, computer, and other frontier tech-
nologies and methods, this book carries out remote sensing monitoring research on
the occurrence and damage of desert locusts in Asia and Africa from 2019 to 2020 and
establishes the locust spatial information system cloud platform. The main contents
of this book include the analysis and processing of spatial-temporal big data, the
monitoring of desert locusts’ breeding areas, the analysis of desert locusts’ migra-
tion paths, the remote sensing monitoring of desert locusts’ damage, the construction
and application of remote sensing monitoring system of the desert locust, etc.
This book provides technical references for remote sensing monitoring of desert
locusts and their application. It can be used as a professional reference book for scien-
tific research, teaching, and application in the fields of agricultural remote sensing,
agricultural informatization, and plant protection. It helps researchers keep pace with
the research progress in this field, improve the level of remote sensing monitoring of
pests, and apply it to practice.
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