A GLOBE Collaboration to Develop Land Cover Data Collection and Analysis Protocols
Rent the article at a discountRent now
* Final gross prices may vary according to local VAT.Get Access
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.
- 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.
- 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.
- Global Learning and Observations to Benefit the Environment, (1996). GLOBE Program Teachers Guide, Second Edition. Washington, D.C.
- 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 321–327
- A GLOBE Collaboration to Develop Land Cover Data Collection and Analysis Protocols
Journal of Science Education and Technology
Volume 7, Issue 1 , pp 85-96
- Cover Date
- Print ISSN
- Online ISSN
- Kluwer Academic Publishers-Plenum Publishers
- Additional Links
- GLOBE Land Cover Data
- accuracy assessment
- data validation
- student-teacher-scientist research collaboration
- pre-protocol learning activites
- remote sensing