Monitoring vegetation dynamics in East Rennell Island World Heritage Site using multi-sensor and multi-temporal remote sensing data

2018 ◽  
Vol 13 (3) ◽  
pp. 393-409 ◽  
Author(s):  
Mengmeng Wang ◽  
Guojin He ◽  
Natarajan Ishwaran ◽  
Tianhua Hong ◽  
Andy Bell ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Vegetation Dynamics ◽  
Remote Sensing Data ◽  
World Heritage ◽  
World Heritage Site ◽  
Sensing Data ◽  
Heritage Site ◽  
Multi Temporal

scholarly journals Statistical assessment of vegetation dynamics within protected areas using remote sensing data

2013 ◽  
Vol 43 (4) ◽  
pp. 5
Author(s):  
Maria Elena Menconi ◽  
David Grohmann
Keyword(s):  
Remote Sensing ◽  
Protected Areas ◽  
Vegetation Dynamics ◽  
Vegetation Index ◽  
Photosynthetic Activity ◽  
Remote Sensing Data ◽  
Ratio Method ◽  
Vegetation Development ◽  
Sensing Data ◽  
Landscape Factors

This study aimed to test the effectiveness of protected areas to preserve vegetation. The first step was to identify vegetation suitable areas, designed as areas with optimal morphological terrain features for a good photosynthetic activity. These areas were defined according to the following landscape factors: slope, altitude, aspect and land use. Enhanced vegetation index (EVI) was chosen as vegetation dynamics indicator. This method is based on a statistical approach using remote sensing data in a geographic information system (GIS) environment. The correlation between EVI and landscape factor was evaluated using the frequency ratio method. Classes of landscape factors that show good correlation with a high EVI were combined to obtain vegetation suitable areas. Once identified, these areas and their vegetation dynamics were analysed by comparing the results obtained whenever these areas are included or not included in protected areas. A second EVI dataset was used to verify the accuracy in identifying vegetation suitable areas and the influence of each landscape factor considered in their identification. This validation process showed that vegetation suitable areas are significant in identifying areas with good photosynthetic activity. The effects analysis showed a positive influence of all landscape factors in determining suitability. This methodology, applied to central regions of Italy, shows that the vegetation suitable areas located inside protected areas are <em>greener</em> than those outside protected areas. This suggests that the protective measures established by the institution of the parks have proved to be effective, at least as far as the status of vegetation development is concerned.

Discharge estimation for medium-sized river using multi-temporal remote sensing data: a case study in Brazil

2020 ◽  
Vol 65 (14) ◽  
pp. 2402-2418
Author(s):  
Évelyn Márcia Pôssa ◽  
Philippe Maillard ◽  
Lília Maria de Oliveira
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Sensing Data ◽  
Multi Temporal ◽  
Discharge Estimation

High performance GPU computing based approaches for oil spill detection from multi-temporal remote sensing data

2017 ◽  
Vol 202 ◽  
pp. 28-44 ◽  
Author(s):  
Ujwala Bhangale ◽  
Surya S. Durbha ◽  
Roger L. King ◽  
Nicolas H. Younan ◽  
Rangaraju Vatsavai
Keyword(s):  
Remote Sensing ◽  
Oil Spill ◽  
High Performance ◽  
Gpu Computing ◽  
Remote Sensing Data ◽  
Sensing Data ◽  
Oil Spill Detection ◽  
Multi Temporal
Sign in / Sign up

Export Citation Format

Share Document