which uses remote sensing data, as an alternative to traditional gauge-based flood
monitoring systems. GIS is playing a vital role in data acquisition, processing, and
visualization for flood monitoring. Users can get near real-time flood data though
GIS-based web applications. Limiting factors for the classification-based flood crop
loss assessment models and alternative methods for flood crop damage assessment in
cropland are evaluated in the chapter.
Mapping and monitoring of large-scale plastic-mulched land cover (PML) are
important both scientifically and socioeconomically. Chapter 17, Remote SensingBased Mapping of Plastic-Mulched Land Ccover (PML), by Lu, explained mapping
and monitoring large-scale PML from satellite imagery. The decision tree classifier,
threshold model, and four types of spatial attraction models (SPSAM, MSPSAM,
MSAM, and ISAM) were analyzed and used to extract PML information.
With huge amount of agro-geoinformation available in diverse sources, it is a
challenge for users (e.g., decision-makers, researchers, farmers, etc.) to easily find
and effectively use the right information. In the recent years, geospatial service
technologies have been developed to meet the challenge. The last chapter of this
book, Chap. 18, Design and Implementation of Geospatial Data Services for Agriculture, by Yue and Hu, describes the geospatial service technologies and discusses
the design and implementation of geospatial data services for agriculture through the
aspects of agricultural data categories and life cycle, the architecture of service
system, and the implementation of service functionalities. In this chapter, the
CropScape system is used to demonstrate the interactive architecture framework
for agriculture.
When exponentially increasing amount of devices, processing power, methods,
and capabilities are considered, it can be seen that the rising complexity requires
compliance to standards, well-engineered protocols, and platforms for reliable and
feasible information systems in agriculture. This book presents a comprehensive
approach in dealing with geospatial information–related issues in agriculture, covering recent methods for data acquisition, processing, analysis, and applications.
6
L. Di and B. Üstündağ
monitoring systems. GIS is playing a vital role in data acquisition, processing, and
visualization for flood monitoring. Users can get near real-time flood data though
GIS-based web applications. Limiting factors for the classification-based flood crop
loss assessment models and alternative methods for flood crop damage assessment in
cropland are evaluated in the chapter.
Mapping and monitoring of large-scale plastic-mulched land cover (PML) are
important both scientifically and socioeconomically. Chapter 17, Remote SensingBased Mapping of Plastic-Mulched Land Ccover (PML), by Lu, explained mapping
and monitoring large-scale PML from satellite imagery. The decision tree classifier,
threshold model, and four types of spatial attraction models (SPSAM, MSPSAM,
MSAM, and ISAM) were analyzed and used to extract PML information.
With huge amount of agro-geoinformation available in diverse sources, it is a
challenge for users (e.g., decision-makers, researchers, farmers, etc.) to easily find
and effectively use the right information. In the recent years, geospatial service
technologies have been developed to meet the challenge. The last chapter of this
book, Chap. 18, Design and Implementation of Geospatial Data Services for Agriculture, by Yue and Hu, describes the geospatial service technologies and discusses
the design and implementation of geospatial data services for agriculture through the
aspects of agricultural data categories and life cycle, the architecture of service
system, and the implementation of service functionalities. In this chapter, the
CropScape system is used to demonstrate the interactive architecture framework
for agriculture.
When exponentially increasing amount of devices, processing power, methods,
and capabilities are considered, it can be seen that the rising complexity requires
compliance to standards, well-engineered protocols, and platforms for reliable and
feasible information systems in agriculture. This book presents a comprehensive
approach in dealing with geospatial information–related issues in agriculture, covering recent methods for data acquisition, processing, analysis, and applications.
6
L. Di and B. Üstündağ