A GLOBE Collaboration to Develop Land Cover Data Collection and Analysis Protocols

  • Mimi Larsen Becker
  • Russell G. Congalton
  • Rebecca Budd
  • Alan Fried

Abstract

Global Learning and Observations to Benefit the Environment (GLOBE) is an international environmental education and science partnership which coordinates the work of students (aged 5 to 18), teachers and scientists from 48 countries on five continents to study and better understand the global environment. Accurate ground reference data is fundamental to the use of remotely sensed data for land cover classification and mapping. Because very little ground reference data has been collected, the accuracy of many land cover maps may be questioned, thus accurate land cover ground reference data is an important need that could be addressed through GLOBE scientist-student collaboration. If earth systems scientists are to use student data, it is important that those data be as accurate as possible to ensure reliability of research results. Thus a key question for this research is whether student collected data are accurate enough to support rigorous scientific investigations. This paper describes results of the GLOBE Science-Education Team on Data Validation and Accuracy Assessment's collaboration with teachers and students to: (1) design and test the pre-protocol learning activities; (2) test the protocols intended to guide the collection and analysis of data; and (3) implement the learning activities and protocols to determine the relative accuracy of student collected versus professionally collected land cover data. To ensure the most accurate classification of land cover possible, a new international hierarchical land cover classification system, the Modified Unesco Classification (MUC) system was developed. GLOBE Data Collection Protocols and methods were designed and implemented to test the accuracy of student collected reference data were designed and implemented. Students who collected land cover reference data using GLOBE protocols, obtained data which are at least as accurate as that collected by professionals.

GLOBE Land Cover Data protocols accuracy assessment data validation student-teacher-scientist research collaboration pre-protocol learning activites remote sensing 

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REFERENCES

  1. Congalton, Russell G. and Mimi L. Becker, (1996). Validating Student Data for Scientific Use: An Example from the GLOBE Project in K.C. Cohen, ed. Internet Pathways to Science Education: Student-Scientist Partnerships Plenum Press, New York.Google Scholar
  2. Congalton, R., (1991). A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data. Remote Sensing of the Environment. Vol. 37: pp 35–66.Google Scholar
  3. Global Learning and Observations to Benefit the Environment, (1996). GLOBE Program Teachers Guide, Second Edition. Washington, D.C.Google Scholar
  4. Schriever, J. R. and R. G. Congalton. 1995. Evaluating seasonal variability as an aid to cover-type mapping from Landsat Thematic Mapper data in the northeast. Photogrammetric Engineering and Remote Sensing. Vol. 61,No.3, pp 321–327Google Scholar

Copyright information

© Plenum Publishing Corporation 1998

Authors and Affiliations

  • Mimi Larsen Becker
  • Russell G. Congalton
  • Rebecca Budd
  • Alan Fried

There are no affiliations available

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