scholarly journals Use of High Resolution Satellite Images for the Calibration of Hydro-geological Models in Semi-Arid Regions: A Case Study

2011 ◽  
Author(s):  
Gerardo Di Martino ◽  
Antonio Iodice ◽  
D. Riccio ◽  
Giuseppe Ruello ◽  
Ivana Zinno ◽  
...  
Keyword(s):  
High Resolution ◽  
Arid Regions ◽  
Satellite Images ◽  
High Resolution Satellite Images ◽  
Geological Models ◽  
Semi Arid

scholarly journals GRANULOMETRIC MAPS FROM HIGH RESOLUTION SATELLITE IMAGES

2011 ◽  
Vol 21 (1) ◽  
pp. 19 ◽  
Author(s):  
Catherine Mering ◽  
Franck Chopin
Keyword(s):  
High Resolution ◽  
Land Cover ◽  
Arid Regions ◽  
Satellite Images ◽  
Distribution Analysis ◽  
Granulometric Analysis ◽  
High Resolution Satellite Images ◽  
Thematic Mapping ◽  
Urban Settlements

A new method of land cover mapping from satellite images using granulometric analysis is presented here. Discontinuous landscapes such as steppian bushes of semi arid regions and recently growing urban settlements are especially concerned by this study. Spatial organisations of the land cover are quantified by means of the size distribution analysis of the land cover units extracted from high resolution remotely sensed images. A granulometric map is built by automatic classification of every pixel of the image according to the granulometric density inside a sliding neighbourhood. Granulometric mapping brings some advantages over traditional thematic mapping by remote sensing by focusing on fine spatial events and small changes in one peculiar category of the landscape.

scholarly journals Determination of rice canopy growth based on high resolution satellite images: a case study using RapidEye imagery in Korea

2016 ◽  
Vol 3 (4) ◽  
pp. 631-645 ◽  
Author(s):  
Mijeong Kim ◽  
◽  
Seungtaek Jeong ◽  
Jong-min Yeom ◽  
Hyun-ok Kim ◽  
...  
Keyword(s):  
High Resolution ◽  
Satellite Images ◽  
High Resolution Satellite Images

Landslide recognition using SVM, Random Forest, and Maximum Likelihood classifiers on high-resolution satellite images: A case study of Itaóca, southeastern Brazil

2021 ◽  
Vol 51 (4) ◽  
Author(s):  
Helen Cristina Dias ◽  
Lucas Henrique Sandre ◽  
Diego Alejandro Satizábal Alarcón ◽  
Carlos Henrique Grohmann ◽  
José Alberto Quintanilha
Keyword(s):  
Maximum Likelihood ◽  
High Resolution ◽  
Random Forest ◽  
Satellite Images ◽  
Southeastern Brazil ◽  
High Resolution Satellite Images
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