Next Article in Journal
Coproduction as an Approach to Technology-Mediated Citizen Participation in Emergency Management
Previous Article in Journal
Ontology-Based Representation and Reasoning in Building Construction Cost Estimation in China
Article Menu

Export Article

Open AccessArticle
Future Internet 2016, 8(3), 40; doi:10.3390/fi8030040

Sensor Observation Service API for Providing Gridded Climate Data to Agricultural Applications

1
Graduate School of Engineering, Chubu University 1200 Matsumoto, Aichi Prefecture, Kasugai 487-0027, Japan
2
Chubu Institute for Advanced Studies, Chubu University 1200 Matsumoto, Aichi Prefecture, Kasugai 487-0027, Japan
*
Author to whom correspondence should be addressed.
Academic Editor: Jose Ignacio Moreno Novella
Received: 3 June 2016 / Revised: 21 July 2016 / Accepted: 26 July 2016 / Published: 9 August 2016
View Full-Text   |   Download PDF [1443 KB, uploaded 9 August 2016]   |  

Abstract

We developed a mechanism for seamlessly providing weather data and long-term historical climate data from a gridded data source through an international standard web API, which was the Sensor Observation Service (SOS) defined by the Open Geospatial Consortium (OGC). The National Agriculture and Food Research Organization (NARO) Japan has been providing gridded climate data consisting of nine daily meteorological variables, which are average, minimum, maximum of air temperature, relative humidity, sunshine duration, solar radiant exposure, downward longwave radiation, precipitation and wind speed for 35 years covering Japan. The gridded data structure is quite useful for spatial analysis, such as developing crop suitability maps and monitoring regional crop development. Individual farmers, however, make decisions using historical climate information and forecasts for an incoming cropping season of their farms. In this regard, climate data at a point-based structure are convenient for application development to support farmers’ decisions. Through the proposed mechanism in this paper, the agricultural applications and analysis can request point-based climate data from a gridded data source through the standard API with no need to deal with the complicated hierarchical data structure of the gridded climate data source. Clients can easily obtain data and metadata by only accessing the service endpoint. The mechanism also provides several web bindings and data encodings for the clients’ convenience. Caching, including the pre-caching mechanism, was developed and evaluated to secure an effective response time. The mechanism enhances the accessibility and usability of the gridded weather data source, as well as SOS API for agricultural applications. View Full-Text
Keywords: web API; standard API; point-based weather; long-term historical weather; gridded data source web API; standard API; point-based weather; long-term historical weather; gridded data source
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Chinnachodteeranun, R.; Honda, K. Sensor Observation Service API for Providing Gridded Climate Data to Agricultural Applications. Future Internet 2016, 8, 40.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Future Internet EISSN 1999-5903 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top