Monitoring Seasonal Hydrological Dynamics of Minerotrophic Peatlands Using Multi-Date GeoEye-1 Very High Resolution Imagery and Object-Based Classification

Author： Dribault Yann   Chokmani Karem   Bernier Monique  

Publisher： MDPI

E-ISSN： 2072-4292|4|7|1887-1912

ISSN： 2072-4292

Source： Remote Sensing, Vol.4, Iss.7, 2012-06, pp. : 1887-1912

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Object-Based Greenhouse Classification from GeoEye-1 and WorldView-2 Stereo Imagery

By Aguilar Manuel A.   Bianconi Francesco   Aguilar Fernando J.   Fernández Ismael  

Remote Sensing, Vol. 6, Iss. 5, 2014-04 ,pp. : 3554-3582

MDPI

Access to resources Recommend Favorite

Comparing Machine Learning Classifiers for Object-Based Land Cover Classification Using Very High Resolution Imagery

By Qian Yuguo   Zhou Weiqi   Yan Jingli   Li Weifeng   Han Lijian  

Remote Sensing, Vol. 7, Iss. 1, 2014-12 ,pp. : 153-168

MDPI

Access to resources Recommend Favorite

Novel Object-Based Filter for Improving Land-Cover Classification of Aerial Imagery with Very High Spatial Resolution

By Lv Zhiyong   Shi Wenzhong   Benediktsson Jón Atli   Ning Xiaojuan  

Remote Sensing, Vol. 8, Iss. 12, 2016-12 ,pp. : 1023-1023

MDPI

Access to resources Recommend Favorite

Accuracy Optimization for High Resolution Object-Based Change Detection: An Example Mapping Regional Urbanization with 1-m Aerial Imagery

By Pierce Kenneth B.  

Remote Sensing, Vol. 7, Iss. 10, 2015-09 ,pp. : 12654-12679

MDPI

Access to resources Recommend Favorite

Object-Based Greenhouse Mapping Using Very High Resolution Satellite Data and Landsat 8 Time Series

By Aguilar Manuel A.   Nemmaoui Abderrahim   Novelli Antonio   Aguilar Fernando J.   García Lorca Andrés  

Remote Sensing, Vol. 8, Iss. 6, 2016-06 ,pp. : 513-513

MDPI

Access to resources Recommend Favorite