Consulting Services to Determine the Effectiveness of Vegetation Classification Using WorldView 2 Satellite Data for the Greater Everglades


Autoria(s): Gann, Daniel; Richards, Jennifer H.; Biswas, Himadri
Data(s)

02/02/2012

Resumo

The purpose of this project was to evaluate the use of remote sensing 1) to detect and map Everglades wetland plant communities at different scales; and 2) to compare map products delineated and resampled at various scales with the intent to quantify and describe the quantitative and qualitative differences between such products. We evaluated data provided by Digital Globe’s WorldView 2 (WV2) sensor with a spatial resolution of 2m and data from Landsat’s Thematic and Enhanced Thematic Mapper (TM and ETM+) sensors with a spatial resolution of 30m. We were also interested in the comparability and scalability of products derived from these data sources. The adequacy of each data set to map wetland plant communities was evaluated utilizing two metrics: 1) model-based accuracy estimates of the classification procedures; and 2) design-based post-classification accuracy estimates of derived maps.

Formato

application/pdf

Identificador

http://digitalcommons.fiu.edu/gis/22

http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=1025&context=gis

Publicador

FIU Digital Commons

Direitos

default

Fonte

GIS Center

Palavras-Chave #Remote Sensing
Tipo

text