Evaluation of airborne video data for land-cover classification accuracy assessment in an isolated Brazilian forest
Journal Article
·
· Remote Sensing of Environment; (United States)
- Univ. of Arizona, Tucson, AZ (United States). Arizona Remote Sensing Center
This research was designed to evaluate the operational utility of airborne bispectral video data for reconnaissance assessment of land-cover variability and to document the viability of the video data for classification accuracy assessment. There are distinct logistical advantages utilizing airborne video data in isolated and environmentally sensitive regions where there is limited preexisting aerial photography and poor infrastructure and where ground accessibility is difficult and expensive. In a study of land-cover characteristic in Mato Grosso, Brazil, video data provided important insights into the variability and transitions in land-cover that could be used to identify targets for field work and training areas for subsequent satellite image (Landsat TM) classifications. Comparisons of Landsat TM classification accuracy assessments derived from the airborne video and standard color photography revealed that comparable results can be achieved at a high statistical level of significance (0.01). These results demonstrated that the video data can provide information for accuracy assessments equivalent to more standard photographic point-sample data acquisition missions with the added benefit of easily acquiring far more data. Results of the supervised Landsat TM classification coupled with a topographic model produced an overall accuracy of 68% with a Kappa coefficient of 0.60, based upon a priori classes identified through evaluation of the airborne data and a site visit.
- OSTI ID:
- 7026983
- Journal Information:
- Remote Sensing of Environment; (United States), Journal Name: Remote Sensing of Environment; (United States) Vol. 48:1; ISSN RSEEA7; ISSN 0034-4257
- Country of Publication:
- United States
- Language:
- English
Similar Records
A comparison between satellite and airborne multispectral data for the assessment of Mangrove areas in the eastern Caribbean
Identifying terrestrial carbon sinks: Classification of successional stages in regenerating tropical forest from Landsat TM data
Classification of multispectral images based on fractions of endmembers: Application to land-cover change in the Brazilian Amazon
Conference
·
Sun Jun 01 00:00:00 EDT 1997
·
OSTI ID:478130
Identifying terrestrial carbon sinks: Classification of successional stages in regenerating tropical forest from Landsat TM data
Journal Article
·
Thu Feb 29 23:00:00 EST 1996
· Remote Sensing of Environment
·
OSTI ID:227855
Classification of multispectral images based on fractions of endmembers: Application to land-cover change in the Brazilian Amazon
Journal Article
·
Mon May 01 00:00:00 EDT 1995
· Remote Sensing of Environment
·
OSTI ID:128842