Chapter 12
Spatial and Temporal Monitoring System
for Agriculture
Lei Hu and Peng Yue
Abstracts With the development of geospatial data science and its application in
the agricultural field, the meaningful agricultural-related geospatial data and information are inextricably linked with sustainable farming practices, internationalization of agricultural commodities, and global climate change. For better utilizing and
reusing the agricultural information and knowledge, robust data centers and systems
are expected to play a significant role in the management of numerous agriculturalrelated geospatial data, which could change the agricultural geoinformation domain
by developing geospatial algorithms and workflow, creating added value information products, downstream applications and services in favor of both public and
private sector stakeholders. This chapter reviews the state-of-art of the operational
agriculture monitoring systems at the international, national, and regional level that
provides the continued monitoring of agriculture. The user needs and the issues of
current agricultural data systems are discussed. The capabilities of spatial and
temporal monitoring systems are analyzed. Emphatically, the data sources and
products, system functionalities, interoperability, and standardization are
demonstrated.
Keywords Agricultural monitoring · Geospatial data · Web service · Drought ·
Flooding
12.1 Introduction
With the development of geospatial data science and its application in the agricultural field, meaningful agriculture-related geospatial data and information are inextricably linked with sustainable farming practices, internationalization of agricultural
commodities, and global climate change (Di 2016).
L. Hu (*) · P. Yue
Wuhan University, Wuhan, Hubei, China
e-mail: geohl@whu.edu.cn; pyue@whu.edu.cn
© Springer Nature Switzerland AG 2021
L. Di, B. Üstündağ (eds.), Agro-geoinformatics, Springer Remote Sensing/
Photogrammetry, https://doi.org/10.1007/978-3-030-66387-2_12
221
Spatial and Temporal Monitoring System
for Agriculture
Lei Hu and Peng Yue
Abstracts With the development of geospatial data science and its application in
the agricultural field, the meaningful agricultural-related geospatial data and information are inextricably linked with sustainable farming practices, internationalization of agricultural commodities, and global climate change. For better utilizing and
reusing the agricultural information and knowledge, robust data centers and systems
are expected to play a significant role in the management of numerous agriculturalrelated geospatial data, which could change the agricultural geoinformation domain
by developing geospatial algorithms and workflow, creating added value information products, downstream applications and services in favor of both public and
private sector stakeholders. This chapter reviews the state-of-art of the operational
agriculture monitoring systems at the international, national, and regional level that
provides the continued monitoring of agriculture. The user needs and the issues of
current agricultural data systems are discussed. The capabilities of spatial and
temporal monitoring systems are analyzed. Emphatically, the data sources and
products, system functionalities, interoperability, and standardization are
demonstrated.
Keywords Agricultural monitoring · Geospatial data · Web service · Drought ·
Flooding
12.1 Introduction
With the development of geospatial data science and its application in the agricultural field, meaningful agriculture-related geospatial data and information are inextricably linked with sustainable farming practices, internationalization of agricultural
commodities, and global climate change (Di 2016).
L. Hu (*) · P. Yue
Wuhan University, Wuhan, Hubei, China
e-mail: geohl@whu.edu.cn; pyue@whu.edu.cn
© Springer Nature Switzerland AG 2021
L. Di, B. Üstündağ (eds.), Agro-geoinformatics, Springer Remote Sensing/
Photogrammetry, https://doi.org/10.1007/978-3-030-66387-2_12
221