Spectral mixture analysis for subpixel vegetation fractions in the urban environment: How to incorporate endmember variability?
- 30 March 2005
- journal article
- Published by Elsevier BV in Remote Sensing of Environment
- Vol. 95 (2), 248-263
- https://doi.org/10.1016/j.rse.2005.01.002
Abstract
No abstract availableKeywords
This publication has 47 references indexed in Scilit:
- Estimating impervious surface distribution by spectral mixture analysisRemote Sensing of Environment, 2003
- Large area mapping of land‐cover change in Rondônia using multitemporal spectral mixture analysis and decision tree classifiersPublished by American Geophysical Union (AGU) ,2002
- Monitoring the composition of urban environments based on the vegetation-impervious surface-soil (VIS) model by subpixel analysis techniquesInternational Journal of Remote Sensing, 2002
- Spatial and temporal dynamics of vegetation in the San Pedro River basin areaAgricultural and Forest Meteorology, 2000
- Endmember bundles: a new approach to incorporating endmember variability into spectral mixture analysisIEEE Transactions on Geoscience and Remote Sensing, 2000
- The effects of image misregistration on the accuracy of remotely sensed change detectionIEEE Transactions on Geoscience and Remote Sensing, 1998
- Unmixing the directional reflectances of AVHRR sub-pixel landcoversIEEE Transactions on Geoscience and Remote Sensing, 1997
- Mapping sub-pixel proportional land cover with AVHRR imageryInternational Journal of Remote Sensing, 1997
- Linear spectral mixture modelling to estimate vegetation amount from optical spectral dataInternational Journal of Remote Sensing, 1996
- NOAA-AVHRR NDVI decomposition and subpixel classification using linear mixing in the Argentinean PampaInternational Journal of Remote Sensing, 1995