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SPIE Asia-Pacific Remote Sensing | 2012

Supporting elephant conservation in Sri Lanka through MODIS imagery

Kithsiri Perera; Ryutaro Tateishi

The latest national elephant survey of Sri Lanka (2011) revealed Sri Lanka has 5,879 elephants. The total forest cover for these elephants is about 19,500 sq km (2012 estimation) and estimated forest area is about 30% of the country when smaller green patches are also counted. However, studies have pointed out that a herd of elephants need about a 100 sq km of forest patch to survive. With a high human population density (332 people per sq km, 2010), the pressure for land to feed people and elephants is becoming critical. Resent reports have indicated about 250 elephants are killed annually by farmers and dozens of people are also killed by elephants. Under this context, researchers are investigating various methods to assess the elephant movements to address the issues of Human-Elephant-Conflict (HEC). Apart from various local remedies for the issue, the conservation of elephant population can be supported by satellite imagery based studies. MODIS sensor imagery can be considered as a successful candidate here. Its spatial resolution is low (250m x 250m) but automatically filters out small forest patches in the mapping process. The daily imagery helps to monitor temporal forest cover changes. This study investigated the background information of HEC and used MODIS 250m imagery to suggest applicability of satellite data for Elephant conservations efforts. The elephant movement information was gathered from local authorities and potentials to identify bio-corridors were discussed. Under future research steps, regular forest cover monitoring through MODIS data was emphasized as a valuable tool in elephant conservations efforts.


ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences | 2012

APPLICATION OF MODIS DATA TO ASSESS THE LATEST FOREST COVER CHANGES OF SRI LANKA

Kithsiri Perera; Srikantha Herath; Armando Apan; Ryutaro Tateishi

Assessing forest cover of Sri Lanka is becoming important to lower the pressure on forest lands as well as man-elephant conflicts. Furthermore, the land access to north-east Sri Lanka after the end of 30 years long civil war has increased the need of regularly updated land cover information for proper planning. This study produced an assessment of the forest cover of Sri Lanka using two satellite data based maps within 23 years of time span. For the old forest cover map, the study used one of the first island-wide digital land cover classification produced by the main author in 1988. The old land cover classification was produced at 80 m spatial resolution, using Landsat MSS data. A previously published another study by the author has investigated the application feasibility of MODIS and Landsat MSS imagery for a selected sub-section of Sri Lanka to identify the forest cover changes. Through the light of these two studies, the assessment was conducted to investigate the application possibility of MODIS 250 m over a small island like Sri Lanka. The relation between the definition of forest in the study and spatial resolution of the used satellite data sets were considered since the 2012 map was based on MODIS data. The forest cover map of 1988 was interpolated into 250 m spatial resolution to integrate with the GIS data base. The results demonstrated the advantages as well as disadvantages of MODIS data in a study at this scale. The successful monitoring of forest is largely depending on the possibility to update the field conditions at regular basis. Freely available MODIS data provides a very valuable set of information of relatively large green patches on the ground at relatively real-time basis. Based on the changes of forest cover from 1988 to 2012, the study recommends the use of MODIS data as a resalable method to forest assessment and to identify hotspots to be re-investigated. Its noteworthy to mention the possibility of uncounted small isolated pockets of forest, or sub-pixel size forest patches when MODIS 250 m x 250 m data used in small regions.


Advances in Space Research | 2009

Experiment for mapping land cover and it’s change in southeastern Sri Lanka utilizing 250 m resolution MODIS imageries

Kithsiri Perera; Kiyoshi Tsuchiya


Asian Journal of Geoinformatics | 2010

Mapping Mekong Land Cover at 250m Resolution Without In Situ Observations

Kithsiri Perera; Srikantha Herath; Armando Apan; Lal Samarakoon


Archive | 2009

Analysing biomass fluctuations in Mitchell grassland, Australia, in wet and dry rainy months using MODIS data

Kithsiri Perera; Armando Apan


Asian Journal of Geoinformatics | 2011

Applying the Global Standard FAO LCCS to Map Land Cover of Rural Queensland

Kithsiri Perera; Armando Apan; Kevin McDougall; Lal Samarakoon


Archive | 2005

Detecting tsunami damage from satellite data in Sri Lanka

Kithsiri Perera; Srikantha Herath


Archive | 2015

Assisting mitigation of bushfire threat in regional Australia through MODIS imagery based media GIS

Kithsiri Perera; Ryutaro Tateishi; Srikantha Herath


Archive | 2015

Impact of climate change on water resources in MENA countries: an assessment of temporal changes of land cover/land use and water resources using multi-temporal MODIS and Landsat data and GIS techniques

Sumith Pathirana; Kithsiri Perera; Hobeichi Sanaa


Archive | 2014

Assessing land use of lower Mekong basin using multi-temporal MODIS imagery

Kithsiri Perera; Srikantha Herath; Ryutaro Tateishi

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Armando Apan

University of Southern Queensland

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Kevin McDougall

University of Southern Queensland

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