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Article

Identification of Abandoned Tea Lands in Kandy District, Sri Lanka Using Trajectory Analysis and Satellite Remote Sensing

by
Sirantha Jagath Kumara Athauda
1,* and
Takehiro Morimoto
2
1
Graduate School of Science and Technology, University of Tsukuba, 1-1-1, Tennodai, Tsukuba 305-8572, Japan
2
Institute of Life and Environmental Sciences, University of Tsukuba, 1-1-1, Tennodai, Tsukuba 305-8572, Japan
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2025, 14(8), 312; https://doi.org/10.3390/ijgi14080312
Submission received: 25 June 2025 / Revised: 10 August 2025 / Accepted: 14 August 2025 / Published: 15 August 2025

Abstract

Tea is a prominent cash crop in global agriculture, and it is Sri Lanka’s top agricultural export known as ‘Ceylon Tea,’ employing nearly one million people, with land covering an area of 267,000 ha. However, over the past decade, many tea lands in Sri Lanka have been abandoned, leading to a gradual decline in production. This research aims to identify, map, and verify tea land abandonment over time and space by identifying and analyzing a series of land use trajectories with Landsat, Google Earth, and PlanetScope imageries to provide a substantial knowledge base. The study area covers five Divisional Secretariats Divisions in Kandy District, Central Highlands of Sri Lanka: Delthota, Doluwa, Udapalatha, Ganga Ihala Korale, and Pasbage Korale, where around 70% of the tea lands in Kandy District are covered. Six land use/cover (LULC) classes were considered: tea, Home Garden and Other Crop, forest, grass and bare land, built-up area, and Water Body. Abandoned tea lands were identified if the tea land was converted to another land use between 2015 and 2023. The results revealed the following: (1) 85% accuracy in LULC classification, revealing tea as the second-largest land use. Home Garden and Other Crop dominated, with an expanding built-up area. (2) The top 22 trajectories dominating the tea trajectories were identified, indicating that tea abandonment peaked between 2017 and 2023. (3) In total, 12% (5457 ha) of pixels were identified as abandoned tea lands during the observation period (2015–2023) at an accuracy rate of 94.7% in the validation. Significant changes were observed between the two urban centers of Gampola and Nawalapitiya towns. (3) Tea land abandonment over 7 years was the highest at 35% (1892.3 ha), while 5-year and 3-year periods accounted for 535.4 ha and 353.6 ha, respectively, highlighting a significant long-term trend. (4) The predominant conversion observed is the shift in tea towards Home Garden and Other Crop (2986.2 ha) during the timeframe. The findings underscore the extent and dynamics of tea land abandonment, providing critical insights into the patterns and characteristics of abandoned lands. This study fills a key research gap by offering a comprehensive spatial analysis of tea land abandonment in Sri Lanka. The results are valuable for stakeholders in the tea industry, providing essential information for sustainable management, policy-making, and future research on the spatial factors driving tea land abandonment.
Keywords: tea land abandonment; LULC trajectory; Landsat; remote sensing; GIS tea land abandonment; LULC trajectory; Landsat; remote sensing; GIS

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MDPI and ACS Style

Athauda, S.J.K.; Morimoto, T. Identification of Abandoned Tea Lands in Kandy District, Sri Lanka Using Trajectory Analysis and Satellite Remote Sensing. ISPRS Int. J. Geo-Inf. 2025, 14, 312. https://doi.org/10.3390/ijgi14080312

AMA Style

Athauda SJK, Morimoto T. Identification of Abandoned Tea Lands in Kandy District, Sri Lanka Using Trajectory Analysis and Satellite Remote Sensing. ISPRS International Journal of Geo-Information. 2025; 14(8):312. https://doi.org/10.3390/ijgi14080312

Chicago/Turabian Style

Athauda, Sirantha Jagath Kumara, and Takehiro Morimoto. 2025. "Identification of Abandoned Tea Lands in Kandy District, Sri Lanka Using Trajectory Analysis and Satellite Remote Sensing" ISPRS International Journal of Geo-Information 14, no. 8: 312. https://doi.org/10.3390/ijgi14080312

APA Style

Athauda, S. J. K., & Morimoto, T. (2025). Identification of Abandoned Tea Lands in Kandy District, Sri Lanka Using Trajectory Analysis and Satellite Remote Sensing. ISPRS International Journal of Geo-Information, 14(8), 312. https://doi.org/10.3390/ijgi14080312

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