Publication: Advancing texture metrics to model landscape heterogeneity
Advancing texture metrics to model landscape heterogeneity
Date
Date
Date
Citations
Schuh, L., Furrer, R., Schaepman, M. E., Santos, M. J., & de Jong, R. (2020). Advancing texture metrics to model landscape heterogeneity. 2735–2738. https://doi.org/10.1109/igarss39084.2020.9323930
Abstract
Abstract
Abstract
We advance methods to study landscape heterogeneity and assess the suitability of these methods to detect boundary regions between land cover types. We employ 2nd-order texture metrics on continuous and on discrete vegetation data in North Eurasia and on a smaller region therein. Furthermore, we advance 2nd-order texture metrics to incorporate spatial scales in novel ways. The metrics entropy, contrast, and homogeneity are found to detect boundary regions well on discrete data in the smaller study area, but create fuzzy results on con
Metrics
Downloads
Views
Additional indexing
Creators (Authors)
Event Title
Event Title
Event Title
Event Location
Event Location
Event Location
Event Country
Event Country
Event Country
Event Start Date
Event Start Date
Event Start Date
Event End Date
Event End Date
Event End Date
Page Range
Page Range
Page Range
Page end
Page end
Page end
Item Type
Item Type
Item Type
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Language
Language
Language
Date available
Date available
Date available
ISBN or e-ISBN
ISBN or e-ISBN
ISBN or e-ISBN
OA Status
OA Status
OA Status
Free Access at
Free Access at
Free Access at
Publisher DOI
Metrics
Downloads
Views
Citations
Schuh, L., Furrer, R., Schaepman, M. E., Santos, M. J., & de Jong, R. (2020). Advancing texture metrics to model landscape heterogeneity. 2735–2738. https://doi.org/10.1109/igarss39084.2020.9323930