30 m Land Cover Dataset of Sri Lanka (2018)

GCdataPR ◽  
2021 ◽  
Author(s):  
Bo ZHONG ◽  
Longfei HU ◽  
Junjun WU ◽  
Aixia YANG
Keyword(s):  
Sri Lanka ◽  
Land Cover

scholarly journals Urbanization and Its Impacts on Land Surface Temperature in Colombo Metropolitan Area, Sri Lanka, from 1988 to 2016

2019 ◽  
Vol 11 (8) ◽  
pp. 957 ◽  
Author(s):  
H.P.U. Fonseka ◽  
Hongsheng Zhang ◽  
Ying Sun ◽  
Hua Su ◽  
Hui Lin ◽  
...  
Keyword(s):  
Time Series ◽  
Sri Lanka ◽  
Land Cover ◽  
Surface Temperature ◽  
Gravity Model ◽  
Land Surface Temperature ◽  
Metropolitan Area ◽  
Land Surface ◽  
Urban Density ◽  
Urban Land Cover

Urbanization has become one of the most important human activities modifying the Earth’s land surfaces; and its impacts on tropical and subtropical cities (e.g., in South/Southeast Asia) are not fully understood. Colombo; the capital of Sri Lanka; has been urbanized for about 2000 years; due to its strategic position on the east–west sea trade routes. This study aims to investigate the characteristics of urban expansion and its impacts on land surface temperature in Colombo from 1988 to 2016; using a time-series of Landsat images. Urban land cover changes (ULCC) were derived from time-series satellite images with the assistance of machine learning methods. Urban density was selected as a measure of urbanization; derived from both the multi-buffer ring method and a gravity model; which were comparatively adopted to evaluate the impacts of ULCC on the changes in land surface temperature (LST) over the study period. The experimental results indicate that: (1) the urban land cover classification during the study period was conducted with satisfactory accuracy; with more than 80% for the overall accuracy and over 0.73 for the Kappa coefficient; (2) the Colombo Metropolitan Area exhibits a diffusion pattern of urban growth; especially along the west coastal line; from both the multi-buffer ring approach and the gravity model; (3) urban density was identified as having a positive relationship with LST through time; (4) there was a noticeable increase in the mean LST; of 5.24 °C for water surfaces; 5.92 °C for vegetation; 8.62 °C for bare land; and 8.94 °C for urban areas. The results provide a scientific reference for policy makers and urban planners working towards a healthy and sustainable Colombo Metropolitan Area.

scholarly journals Space-time clustering characteristics of dengue based on ecological, socio-economic and demographic factors in northern Sri Lanka

2015 ◽  
Vol 10 (2) ◽  
Author(s):  
Sumiko Anno ◽  
Keiji Imaoka ◽  
Takeo Tadono ◽  
Tamotsu Igarashi ◽  
Subramaniam Sivaganesh ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Sri Lanka ◽  
Land Cover ◽  
Demographic Factors ◽  
Space Time ◽  
Geographical Information ◽  
Temporal Association ◽  
Stable Model ◽  
The Right ◽  
Socioeconomic And Demographic Factors

The aim of the present study was to identify geographical areas and time periods of potential clusters of dengue cases based on ecological, socio-economic and demographic factors in northern Sri Lanka from January 2010 to December 2013. Remote sensing (RS) was used to develop an index comprising rainfall, humidity and temperature data. Remote sensing data gathered by the AVNIR-2 instrument onboard the ALOS satellite were used to detect urbanisation, and a digital land cover map was used to extract land cover information. Other data on relevant factors and dengue outbreaks were collected through institutions and extant databases. The analysed RS data and databases were integrated into a geographical information system (GIS) enabling space-time clustering analysis. Our results indicate that increases in the number of combinations of ecological, socio-economic and demographic factors that are present or above the average contribute to significantly high rates of space-time dengue clusters. The spatio-temporal association that consolidates the two kinds of associations into one can ensure a more stable model for forecasting. An integrated spatiotemporal prediction model at a smaller level using ecological, socioeconomic and demographic factors could lead to substantial improvements in dengue control and prevention by allocating the right resources to the appropriate places at the right time.

scholarly journals Assessing Soil Erosion Hazards Using Land-Use Change and Landslide Frequency Ratio Method: A Case Study of Sabaragamuwa Province, Sri Lanka

2020 ◽  
Vol 12 (9) ◽  
pp. 1483 ◽  
Author(s):  
Sumudu Senanayake ◽  
Biswajeet Pradhan ◽  
Alfredo Huete ◽  
Jane Brennan
Keyword(s):  
Land Use ◽  
Sri Lanka ◽  
Soil Erosion ◽  
Land Use Change ◽  
Land Cover ◽  
Frequency Ratio ◽  
Ratio Method ◽  
Erosion Hazard ◽  
Dense Forest ◽  
Landslide Frequency

This study aims to identify the vulnerable landscape areas using landslide frequency ratio and land-use change associated soil erosion hazard by employing geo-informatics techniques and the revised universal soil loss equation (RUSLE) model. Required datasets were collected from multiple sources, such as multi-temporal Landsat images, soil data, rainfall data, land-use land-cover (LULC) maps, topographic maps, and details of the past landslide incidents. Landsat satellite images from 2000, 2010, and 2019 were used to assess the land-use change. Geospatial input data on rainfall, soil type, terrain characteristics, and land cover were employed for soil erosion hazard classification and mapping. Landscape vulnerability was examined on the basis of land-use change, erosion hazard class, and landslide frequency ratio. Then the erodible hazard areas were identified and prioritized at the scale of river distribution zones. The image analysis of Sabaragamuwa Province in Sri Lanka from 2000 to 2019 indicates a significant increase in cropping areas (17.96%) and urban areas (3.07%), whereas less dense forest and dense forest coverage are significantly reduced (14.18% and 6.46%, respectively). The average annual soil erosion rate increased from 14.56 to 15.53 t/ha/year from year 2000 to 2019. The highest landslide frequency ratios are found in the less dense forest area and cropping area, and were identified as more prone to future landslides. The river distribution zones Athtanagalu Oya (A-2), Kalani River-south (A-3), and Kalani River- north (A-9), were identified as immediate priority areas for soil conservation.

How and Why the Land Resources Changed

2021 ◽  
pp. 88-110
Author(s):  
Lasantha Manawadu ◽  
M. D. K. L. Gunathilaka ◽  
V. P. I. S. Wijerathne ◽  
K. L. W. I. Gunathilake
Keyword(s):  
Land Use ◽  
Sri Lanka ◽  
Land Cover ◽  
Land Surface ◽  
Land Resource ◽  
Land Resources ◽  
Rapid Changes ◽  
History Of ◽  
Land Use Policies ◽  
Land Changes

Human activities have recognized in recent years as the most significant force shaping the biosphere. This is completely true concerning rapid changes in the land surface. Concerning land resources, it is important to understand how this change happens. Thus, this chapter aims to review how this change has occurred throughout the history of Sri Lanka. A piecemeal approach in the unsustainable manner of land resource utilization towards severe land changes illustrates and compares the land use and land cover changes in significant phases in the history of Sri Lanka. This was further revitalized as well as influenced by the land-use policies introduced throughout history. The absence of a clearly defined land-use policy in the country after independence is problematic when addressing land-related issues. Consequently, chronological changes in land use and land cover existed within the country has now doubled and more intensified than ever.

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