An Image Segmentation Process Enhancement for Land Cover Mapping from Very High Resolution Remote Sensing Data Application in a Rural Area

2014 ◽  
pp. 215-233 ◽  
Author(s):  
M. Vitter ◽  
P. Pluvinet ◽  
L. Vaudor ◽  
C. Jacqueminet ◽  
R. Martin ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Image Segmentation ◽  
High Resolution ◽  
Land Cover ◽  
Rural Area ◽  
Remote Sensing Data ◽  
Land Cover Mapping ◽  
Sensing Data ◽  
Data Application ◽  
Very High

scholarly journals CURRENT CHALLENGES IN OPERATIONAL VERY HIGH RESOLUTION LAND-COVER MAPPING

2020 ◽  
Vol XLIII-B2-2020 ◽  
pp. 703-710
Author(s):  
C. Mallet ◽  
A. Le Bris
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Land Cover ◽  
Large Scale ◽  
Spatial Scales ◽  
Remote Sensing Data ◽  
End Users ◽  
Land Cover Mapping ◽  
Human In The Loop ◽  
Very High

Abstract. Many land-cover products have been made available for a large range of end-users over the last ten years, even at global scales. In particular, remote sensing data analysis has proved to be the most feasible solution for automation purposes, at multiple spatial scales. However, current solutions are not sufficient for designing better products, adapted to real-case applications, operational constraints, and the generation of services, built upon these core layers. In this paper, we review the main requirements and the recent changes in remote sensing for the specific case of very high resolution land-cover mapping. We also comment current and evaluate challenges for the optimal exploitation of Earth Observation images with the aim of automatically generating maps tailored to specific end-users’ needs. We advocate for more challenging large-scale benchmarks and for human-in-the-loop solutions.

Riparian Vegetation Mapping for Hydraulic Roughness Estimation Using Very High Resolution Remote Sensing Data Fusion

2010 ◽  
Vol 136 (11) ◽  
pp. 855-867 ◽  
Author(s):  
Giovanni Forzieri ◽  
Gabriele Moser ◽  
Enrique R. Vivoni ◽  
Fabio Castelli ◽  
Francesco Canovaro
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Data Fusion ◽  
Riparian Vegetation ◽  
Remote Sensing Data ◽  
Vegetation Mapping ◽  
Hydraulic Roughness ◽  
Sensing Data ◽  
Very High

Land cover mapping from remote sensing data

2006 ◽  
Author(s):  
H. S. Lim ◽  
M. Z. MatJafri ◽  
K. Abdullah ◽  
N. M. Saleh ◽  
C. J. Wong ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Remote Sensing Data ◽  
Land Cover Mapping ◽  
Sensing Data
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