A Web Service-Oriented Geoprocessing System for Supporting Intelligent Land Cover Change Detection

Huaqiao Xing,Dongyang Hou,Jun Chen,Hao Wu

doi:10.3390/ijgi8010050

Abstract

Remotely sensed imagery-based change detection is an effective approach for identifying land cover change information. A large number of change detection algorithms have been developed that satisfy different requirements. However, most change detection algorithms have been developed using desktop-based software in offline environments; thus, it is increasingly difficult for common end-users, who have limited remote sensing experience and geographic information system (GIS) skills, to perform appropriate change detection tasks. To address this challenge, this paper proposes an online geoprocessing system for supporting intelligent land cover change detection (OGS-LCCD). This system leverages web service encapsulation technology and an automatic service composition approach to dynamically generate a change detection service chain. First, a service encapsulation strategy is proposed with an execution body encapsulation and service semantics description. Then, a constraint rule-based service composition method is proposed to chain several web services into a flexible change detection workflow. Finally, the design and implementation of the OGS-LCCD are elaborated. A step-by-step walk-through example for a web-based change detection task is presented using this system. The experimental results demonstrate the effectiveness and applicability of the prototype system.

Highlights

It is important to accurately acquire land cover change (LCC) information in a timely manner in order to gain an improved understanding of the environmental changes and interactions between humans and environmental systems [1,2]
To meet the requirements of intelligent web-based change detection, heterogeneous algorithms and models should first be encapsulated into web services with semantic descriptions; these services should be automatically composited into an appropriate service chain or workflow, in order to address user-specific requirements or conditions
This paper presents a web service-based geoprocessing system for supporting intelligent land cover change detection

Summary

Introduction

It is important to accurately acquire land cover change (LCC) information in a timely manner in order to gain an improved understanding of the environmental changes and interactions between humans and environmental systems [1,2]. With the development of free access policies to remotely sensed imagery (e.g., the Landsat series), multitemporal imagery-based change detection has become an effective approach to identify LCC information [3,4]. Traditional change detection approaches have often been conducted using desktop-based software (e.g., ENVI, ERDAS, and ArcGIS) in offline environments, which have limitations such as being laborious, inefficient, and time-consuming [6,7]. It is increasingly difficult for common end-users, who have limited remote sensing experience and geographic information system (GIS) skills, to conduct an appropriate change detection approach, especially over a large area [7,8]. It is urgent to develop advanced web-based tools or systems to support intelligent land cover change detection

Methods

Discussion

Conclusion