Monitoring urban land cover change
- 1 August 2001
- journal article
- Published by Elsevier in Remote Sensing of Environment
- Vol. 77 (2) , 173-185
- https://doi.org/10.1016/s0034-4257(01)00204-8
Abstract
No abstract availableKeywords
This publication has 22 references indexed in Scilit:
- Integrating Contextual Information with per-Pixel Classification for Improved Land Cover ClassificationRemote Sensing of Environment, 2000
- Analysis of vegetation within a semi-arid urban environment using high spatial resolution airborne thermal infrared remote sensing dataAtmospheric Environment, 1998
- Comparison of fuzzy c-means classification, linear mixture modelling and MLC probabilities as tools for unmixing coarse pixelsInternational Journal of Remote Sensing, 1997
- The effect of spatial resolution on the ability to monitor the status of agricultural landsRemote Sensing of Environment, 1997
- Robust classification of multispectral data using multiple neural networks and fuzzy integralIEEE Transactions on Geoscience and Remote Sensing, 1997
- Soil color modeling for the visible and near-infrared bands of Landsat sensors using laboratory spectral measurementsRemote Sensing of Environment, 1997
- A detailed comparison of backpropagation neural network and maximum-likelihood classifiers for urban land use classificationIEEE Transactions on Geoscience and Remote Sensing, 1995
- Synergistic effects of combined Landsat-TM and SIR-B data for forest resources assessmentInternational Journal of Remote Sensing, 1993
- An assessment of landsat MSS and TM data for urban and near-urban land-cover digital classificationRemote Sensing of Environment, 1987
- An analysis of thematic mapper simulator data for urban environmentsRemote Sensing of Environment, 1983