A data mining approach for evaluation of optimal time-series of MODIS data for land cover mapping at a regional level-Reference-Cited by-同舟云学术

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A data mining approach for evaluation of optimal time-series of MODIS data for land cover mapping at a regional level

Published:2013-10 Issue: Volume:84 Page:114-129
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Zhou Fuqun,Zhang Aining,Townley-Smith Lawrence

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference58 articles.

1. Agriculture and Agri-Food Canada, 2012. ISO 19131 Land Cover for Agricultural Regions of Canada, Circa 2000 – Data Product Specification. .

2. Mapping abandoned agriculture with multi-temporal MODIS satellite data;Alcantara;Remote Sensing of Environment,2012

3. Mapping isogrowth zones on continental scale using temporal Fourier analysis of AVHRR-NDVI data;Azzalil;International Journal of Applied Earth Observation and Geoinformation,1999

4. Land cover classification from MODIS EVI times-series data using SOM neural network;Bagan;International Journal of Remote Sensing,2005

5. Long-term satellite NDVI data sets: evaluating their ability to detect ecosystem functional changes in South America;Baldi;Sensors,2008

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2. Cross-spatiotemporal land-cover classification from VHR remote sensing images with deep learning based domain adaptation;ISPRS Journal of Photogrammetry and Remote Sensing;2022-09

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