Showing posts with label GLS 617 - Marine Resource Management. Show all posts
Showing posts with label GLS 617 - Marine Resource Management. Show all posts

Sunday, 25 December 2016

Lab 2 Land Surface Temperature Mapping - Marine Resource Management (GLS617)




    Land surface temperature (LST) is referred to climatological and environmental studies. This lab showing the state of the science of land surface temperature (LST) estimates from remote sensing platforms, models and in site approaches. LST is an important climate variable, related to surface energy balance and the integrated thermal state of the atmosphere within the planetary boundary layer (Jin 1996). Traditionally, LST was referred to standard surface-air temperature measured by sheltered thermometer above a flat on earthly surface. With satellite technology, satellite-based surface temperature called skin temperature, is become available globally (Dickinson 1994). Satellite LST products provide an estimate of the kinetic temperature of the earth’s surface. LST is a parameter in land surface process, not only acting as an indicator of climate change, but also due to its control of the upward air space radiation and the control of the surface temperature and the heat within the atmosphere.


Software Used :

  • ERDAS Imagine 2013
  • ArcGIS 10.4


Manual and Procedure :



Video Tutorial Estimating LST Mapping Using ArcGIS :



My LST Mapping Procedure and Report :




Friday, 9 December 2016

Marine Resource Management (GLS617) Syllabus Notes

This course introduces the basic concepts of marine resources and management of marine environments, its complex interactions between flora and fauna ecosystem (i.e fisheries, coral reefs and mangrove forest), as well as marine resources inventory and management. Understanding of different marine resources will be explore further through understanding of various marine resources with appropriate technologies (such as Satellite Imagery Processing/Remote Sensing and GIS) which covers on several applications related to marine environments. This course will provides the understanding of concepts of resource management and be able to apply that understanding to marine resources. Furthermore, supposedly to describe the complexity and dynamic changes of marine environment related to marine resources such as fisheries, coral reefs ecosystem and mangrove forest. Lastly, it capable to employ appropriate skills with the use of remote sensing digital image processing software in the extraction of information related to marine resources applications from remote sensing data.

Tuesday, 6 December 2016

Assignment 1 Remote Sensing Technique in Mangrove Monitoring - Marine Resource Management (GLS 617)



Mangrove forests in Peninsular Malaysia are found mainly on the sheltered coasts, estuaries, rives and some near-shore islands. Mangrove forests support a variety range of animals and plants and are repositories for a vast array of biological diversity. The importance of mangrove forests in providing invaluable goods and services both in economics and environmental terms are well understood and documented. Forestry Department Peninsular Malaysia (FDPM) has been preserving with current issues at the national, regional and international level in managing the mangrove forests. FDPM is fully committed to the implementation of the sustainable forest management practices and in line with current requirements such as climate change, conservation of biological diversity and natural disaster including tsunami, that have made the forestry profession becoming more crucial.


Remote sensing technology has been applied in various ways to characterize mangrove ecosystems. Some of the documented applications include mapping the areal extent, detecting individual species, and providing estimates of structure and parameters such as leaf area, canopy height, and biomass. The main motivation for the characterization of these ecosystems is to monitor and manage them. Generally, all the remote sensing application in mangrove ecosystems can be categorized into three broad areas. These broad categories 9 have been identified as resource inventory; change detection; and selection and inventory of aquaculture sites.




My Assignment 1 :




Sunday, 4 December 2016

Lab 1 Mangrove Changes Detection - Marine Resource Management (GLS617)



    

   Mangrove is located in the tropical and subtropical regions and brings good services for native people. It also inhabits on the shorelines and islands in sheltered coastal areas with locally variable topography and hydrology. Mangrove is one of the most threatened and vulnerability ecosystems. Based on the importance and vulnerable of mangrove ecosystems faced, many studies on mangrove have been conducted to solve these issues in difference scales, long-term monitoring and detecting mangrove by using remote sensing techniques. 


    The earth observation satellite data (such as Landsat) is useful for change detection applications. The distribution and abundance of mangrove in different regions of the world have been assessed with a variety of techniques. Change detection is a powerful tool to visualize, measure, and better to understand a trend in mangrove ecosystems.



Software Used :

Erdas Imagine 2013

Microsoft Excell 2016


Method Used :

 1. Model Maker :-
    a. NDWI
    b. NDVI
    c. NDBI

 2. Unsupervised Classification

 3. Matrix Union Tools


Satellite Image Used :



Result Image Output :




My Report and Procedure of Mangrove Changes Detection :