scholarly journals Application of Remote Sensing Techniques in Determining the Risk Taking Level of Different Seasons on Fire Generation in Terms of NDVI Index During the Year Case Study: Golestan Province, Iran

2018 ◽  
Vol 11 (1) ◽  
pp. 397-406
Author(s):  
Akram Karimi ◽  
Sara Abdollahi ◽  
Kaveh Ostad-Ali-Askari ◽  
Saeid Eslamian ◽  
Vijay P. Singh ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Risk Taking ◽  
Ndvi Index ◽  
Different Seasons ◽  
Golestan Province ◽  
Remote Sensing Techniques

Comparison of aerosol vertical profiles derived by passive and active remote sensing techniques—a case study

2004 ◽  
Vol 38 (39) ◽  
pp. 6679-6685 ◽  
Author(s):  
B. Padma Kumari ◽  
A.L. Londhe ◽  
H.K. Trimbake ◽  
D.B. Jadhav
Keyword(s):  
Remote Sensing ◽  
Vertical Profiles ◽  
Remote Sensing Techniques

Integration of Satellite Remote Sensing Techniques and Landscape Metrics to Characterize Land Cover Change and Dynamics

2013 ◽  
pp. 228-244
Author(s):  
Carmelo Riccardo Fichera ◽  
Giuseppe Modica ◽  
Maurizio Pollino
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Landscape Metrics ◽  
Landsat Images ◽  
Aerial Photos ◽  
Multi Temporal ◽  
Urban Rural ◽  
Remote Sensing Techniques

One of the most relevant applications of Remote Sensing (RS) techniques is related to the analysis and the characterization of Land Cover (LC) and its change, very useful to efficiently undertake land planning and management policies. Here, a case study is described, conducted in the area of Avellino (Southern Italy) by means of RS in combination with GIS and landscape metrics. A multi-temporal dataset of RS imagery has been used: aerial photos (1954, 1974, 1990), Landsat images (MSS 1975, TM 1985 and 1993, ETM+ 2004), and digital orthophotos (1994 and 2006). To characterize the dynamics of changes during a fifty year period (1954-2004), the approach has integrated temporal trend analysis and landscape metrics, focusing on the urban-rural gradient. Aerial photos and satellite images have been classified to obtain maps of LC changes, for fixed intervals: 1954-1985 and 1985-2004. LC pattern and its change are linked to both natural and social processes, whose driving role has been clearly demonstrated in the case analysed. In fact, after the disastrous Irpinia earthquake (1980), the local specific zoning laws and urban plans have significantly addressed landscape changes.

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