Application of a normalized difference impervious index (NDII) to extract urban impervious surface features based on Landsat TM images
Author:
Affiliation:
1. School of Life Science, Nanjing University, Nanjing, PR China
2. Plant Functional Biology and Climate Change Cluster, University of Technology, Sydney, Sydney, Australia
Funder
The Key Project of Chinese National Programs for Fundamental Research and Development (973 Plan)
APN Global Change Fund Project
The National Natural Science Foundation of China
The Public Sector Linkage Program supported by Australian Agency for International Development by the prof. ODEH and LI
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2015.1007250
Reference58 articles.
1. Classification of multispectral images based on fractions of endmembers: Application to land-cover change in the Brazilian Amazon
2. Investigation of correlation between remotely sensed impervious surfaces and chloride concentrations
3. Impervious Surface Coverage: The Emergence of a Key Environmental Indicator
4. Remote sensing based evapotranspiration and runoff modeling of agricultural, forest and urban flux sites in Denmark: From field to macro-scale
5. Detecting and discriminating impervious cover with high-resolution IKONOS data using principal component analysis and morphological operators
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