Nuovi trends nella classificazione dei dati satellitari per analizzare l'uso del suolo


  • Renzo Carlucci

Parole chiave:

Telerilevamento, remote sensing, classificazione, dati satellitari, uso del suolo


New trends in satellite data classification to analyze land use.
Image classification is the process of assigning land cover classes to pixels. In general, there are three main image classification techniques in remote sensing. The most commonly used are Unsupervised Classification and Supervised Classification techniques, however the Object-Based
classification has recently achieved a strong use as useful for high resolution data.

Riferimenti bibliografici

Some [ZHANG2017-1] Zhang, Hankui K., and David P. Roy. 2017. "Using the 500 m MODIS Land Cover Product to Derive a Consistent Continental Scale 30 m Landsat Land Cover Classification.” Remote Sensing of Environment 197 (August): 15–34.

[LIANG2017] Liang, Qichun, Yuchao Zhang, Ronghua Ma, Steven Loiselle, Jing Li, and Minqi Hu. 2017. "A MODIS-Based Novel Method to Distinguish Surface Cyanobacterial Scums and Aquatic Macrophytes in Lake Taihu.” Remote Sensing 9 (2): 133.

[ZHANG2017-2] Zhang, Qiao, Ping Wang, Hui Chen, Qinglun Huang, Hongbing Jiang, Zijian Zhang, Yanmei Zhang, Xiang Luo, and Shujuan Sun. 2017. "A Novel Method for Urban Area Extraction from VIIRS DNB and MODIS NDVI Data: A Case Study of Chinese

Cities.” International Journal of Remote Sensing 38 (21): 6094–6109.




Come citare

Carlucci, R. (2018). Nuovi trends nella classificazione dei dati satellitari per analizzare l’uso del suolo. GEOmedia, 22(1). Recuperato da