SLJGEM http://localhost:8080/xmlui/handle/susl/5360 2026-09-05T11:44:45Z 2026-09-05T11:44:45Z http://localhost:8080/xmlui/handle/susl/5365 2026-09-03T06:41:53Z 2026-09-03T00:00:00Z

Front Materials

2026-09-03T00:00:00Z Manawadu, L. Wijeratne, V. P. I. S. Vithanage, P. G. http://localhost:8080/xmlui/handle/susl/5364 2026-09-03T06:27:18Z 2026-09-03T00:00:00Z

EXPLORING THE SCIENTIFIC NEXUS: GLOBAL TRENDS IN CLIMATE CHANGE AND AGRICULTURAL RESEARCH FROM 2000 TO 2024 Manawadu, L.; Wijeratne, V. P. I. S.; Vithanage, P. G. Climate change poses a serious challenge to international economic growth, as it adversely affects food security and farmers' ability to produce sufficient food amid changing climatic conditions. As a means of addressing this challenge, the authors have critically analysed the existing literature related to the topic from the period of 2000 to 2024, specifically focusing on climate change in relation to agriculture. The focus of this literature review is to identify the trends regarding climate change and agricultural production, and also to report on how the main article title of “The Impact of Climate Change on Agriculture” has changed over time through the conduct of a bibliometric analysis. Several databases were used to collect information for this review, including the Web of Science (WoS), and the PRISMA framework was followed to allow for proper inclusion of articles and sufficient thoroughness of discussion. The review indicates that recent years (from 2014 onward) have seen a rapid increase in the number of publications related to climate change and agriculture, and the United States has produced the highest number of corresponding authors and also the highest total number of publications (4,039) for the study period, while China ranks second with approximatel pu lications According to the results of the i liometric anal sis the top contri uting authors were ller C iu and o ell It was found that the Key terms frequently appeared in the literature include ‘agriculture’ ‘climate change’ and ‘impacts’ This research is vital for understanding the existing knowledge, identifying research gaps, research directions and focuses, evaluating sources and credibility, developing theoretical frameworks, supporting arguments and analysis in climate change and sustainable development, and providing invaluable insights for researchers, policymakers, and Practitioners.

2026-09-03T00:00:00Z Priyadarshana, W. G. P. http://localhost:8080/xmlui/handle/susl/5363 2026-09-03T06:19:45Z 2026-09-03T00:00:00Z

ANALYSIS OF LONG TERM LAND USE AND LAND COVER DYNAMICS IN GALLE DISTRICT USING DEEP LEARNING ON LANDSAT IMAGERY (2003 – 2024) Priyadarshana, W. G. P. Due to population growth and the increasing demands of human activities, land use across the world has become highly diverse. Within a limited land area, land utilisation continues to expand intensively. In this context, Remote Sensing and Geographic Information Systems enable accurate monitoring and assessment of Land-Use and Land-Cover (LULC) changes. By applying different analytical techniques, geospatial technologies are widely used to assess land-use and landcover dynamics. However, a considerable number of researchers still rely heavily on conventional classification approaches. With the advancement of modern technology, this study examines how LULC patterns can be identified and enhanced through deep learning-based techniques. The Galle District was selected as the study area, and Landsat imagery from the years 2003, 2014, and 2024 was analysed. The results reveal a rapid increase in built-up areas, which expanded from 1,206.7 km² in 2003 to 1,481.1 km² by 2024. In contrast, forest cover experienced a significant decline, decreasing from 368.04 km² in 2003 to 106.43 km² in 2024. Water bodies and barren lands also show a reduction in 2024 when compared to 2003. Accuracy assessment of the classified data indicates that Producer’s Accuracy remained above 85% throughout the entire study period, while User’s Accuracy demonstrated comparable values. Over the study period, the conversion of land cover into land-use has intensified considerably. As a result of these transformations, numerous environmental and urban challenges have emerged within the Galle District. These include increased flooding, land degradation, coastal erosion, and rising lower-atmospheric temperatures. Consequently, the findings emphasise the importance of sustainable urban development and the implementation of systematic land-use planning strategies.

2026-09-03T00:00:00Z Nuskiya, M.H.F. Sawjanya, S. Fareena, Ruzaik Rinos, M.H.M. http://localhost:8080/xmlui/handle/susl/5362 2026-09-03T06:10:53Z 2026-09-03T00:00:00Z

GEOSPATIAL ASSESSMENT OF RUSLE MODELING FOR SOIL EROSION RISK IN NUWARA ELIYA, SRI LANKA Nuskiya, M.H.F.; Sawjanya, S.; Fareena, Ruzaik; Rinos, M.H.M. In the tropical highlands of Sri Lanka, especially in the Nuwara Eliya District, steep slopes, intensive agriculture, and heavy rainfall contribute to the accelerated degradation of the land, and soil erosion is one of the major environmental issues prevalent in this area. Although the occurrence of soil erosion in Sri Lanka has been investigated in earlier studies, the present study is an attempt to carry out a detailed soil erosion assessment on the Nuwara Eliya Highlands using GIS techniques, and the Revised Universal Soil Loss Equation (RUSLE) has received less attention in the local context for mapping and spatial prioritization of soil erosion conservation practices. The objectives of this study are to evaluate the potential soil erosion on Nuwara Eliya Highlands and to map the soil erosion risk by using the RUSLE model in combination with GIS techniques. The CHIRPS rainfall dataset, SoilGrids and ESDAC datasets, Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM) data, Landsat 9 imagery, and land use data were used to derive Rainfall erosivity (R), soil erodibility (K), slope length and steepness (LS), cover management (C), and conservation practice (P) factors in Google Earth Engine and ArcGIS 10.8. These RUSLE factors were combined to calculate soil loss in a year and provide an erosion risk map at a spatial level. The model output shows that 546 km² (32%) of the district experienced moderate erosion, 460.62 km2 (30%) experienced high erosion, and 307.08 km2 (20%) experienced severe erosion, which indicates that a significant area of the district is highly prone to soil erosion. The spatial distribution of erosion risk was further analysed by comparing it with topographic conditions, land cover characteristics, and documented erosion-prone locations, where erosion hotspots were identified, thereby offering qualitative validation of the hotspots. The study provides a localised soil erosion assessment using GIS data, which can support evidence-based land management and conservation planning in the Nuwara Eliya Highlands.

2026-09-03T00:00:00Z