Assessment of tree cover density of Sri Lanka using visual interpretation of open-source high-resolution imagery and geographic information system interface mapping

IF 0.4 4区 综合性期刊 Q4 MULTIDISCIPLINARY SCIENCES
K. T. Premakantha, R.P.D.S. Chandani, G.G.J.R. Silva, R.P.S.I.K. Gunatilaka, D.K.N.G. Pushpakumara
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Abstract

Trees are found in various formations, ranging from individual trees to randomly occurring tree clusters and systematically established tree plantations, as well as natural forests. Accurate information about trees, their distribution and density is crucial for the development of national policies, strategies, and management decisions related to tree planting, and environmental management. While some organizations and individuals have mapped forests, home gardens, and trees outside forests at different scales, the lack of comprehensive and systematic spatial distribution data on trees and tree cover density in Sri Lanka has been a significant challenge for policymakers. To address this issue, this study utilized the tree cover mapping (TCM) tool developed by U.S. Geological Survey. High-resolution images were visually interpreted within a geographic information system interface to map tree cover. The TCM tool employed a systematic sample grid, with a sampling interval of 200 m. The study encompassed 1.64 million sampling units, and mapping and interpretation were conducted at a scale of 1:3000. The resulting tree density map had a resolution of 200 m. Results show that 78% of the country’s land area has a tree cover density exceeding 10%, resembling open and sparse forests, while 64% of the country exhibits a tree cover density exceeding 40%, comparable to dense forest areas. The study found that although forest cover was limited in districts such as Colombo, Gampaha, and Jaffna, these areas still displayed a significant level of tree cover density, offering services and functions similar to those provided by forests.
利用开放源高分辨率图像的视觉解读和地理信息系统界面制图评估斯里兰卡的树木覆盖密度
树木的形态多种多样,从单独的树木到随机出现的树群、系统建立的植树造林以及天然林,不一而足。有关树木及其分布和密度的准确信息对于制定与植树和环境管理相关的国家政策、战略和管理决策至关重要。虽然一些组织和个人已经绘制了不同尺度的森林、家庭菜园和森林外树木的分布图,但斯里兰卡缺乏全面系统的树木空间分布数据和树木覆盖密度数据,这对政策制定者来说是一个巨大的挑战。为解决这一问题,本研究使用了美国地质调查局开发的树木覆盖物绘图(TCM)工具。通过地理信息系统界面对高分辨率图像进行视觉解读,从而绘制树木覆盖图。TCM 工具采用了系统取样网格,取样间隔为 200 米。研究涵盖 164 万个取样单位,制图和判读比例为 1:3000。结果显示,全国 78% 的土地面积的树木覆盖密度超过 10%,类似于疏林,而 64% 的土地面积的树木覆盖密度超过 40%,类似于密林地区。研究发现,虽然科伦坡、甘帕哈和贾夫纳等地区的森林覆盖率有限,但这些地区的树木覆盖密度仍然很高,所提供的服务和功能与森林类似。
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来源期刊
CiteScore
0.90
自引率
0.00%
发文量
57
审稿时长
>12 weeks
期刊介绍: The Journal of National Science Foundation of Sri Lanka (JNSF) publishes the results of research in Science and Technology. The journal is released four times a year, in March, June, September and December. This journal contains Research Articles, Reviews, Research Communications and Correspondences. Manuscripts submitted to the journal are accepted on the understanding that they will be reviewed prior to acceptance and that they have not been submitted for publication elsewhere.
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