利用遥感技术探测德克萨斯州萨姆休斯顿国家森林的森林覆盖变化

Q2 Social Sciences
Recheal Naa, Dedei Armah, Z. H. Ning, M. Anokye, Y. Twumasi, D. B. Frimpong, A. Asare-Ansah, P. Loh, F. Owusu
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引用次数: 0

摘要

摘要萨姆·休斯顿国家森林是德克萨斯州的一大片森林,在过去的几十年里,它经历了重大的土地利用变化。研究区复制了该国丰富的气候、地理和土壤差异,这片森林面临着严重的退化和不同性质的干扰问题。本研究利用美国地质调查局地球探测器Landsat 4 ETM和Landsat 8遥感技术,对2001 - 2020年Sam Houston国家森林的森林覆盖变化进行了分析。我们还利用谷歌地球引擎目录中的Hansen全球森林覆盖数据来评估研究期间的森林覆盖损失和增加。此外,还使用i-Tree软件来估计森林中的碳固存,并评估森林管理实践的潜在效益。研究结果表明,在过去的几十年里,山姆休斯顿国家森林经历了森林覆盖的净损失,主要是由于农业扩张和城市化。然而,某些地区的森林也显示出再生和恢复的迹象,突出表明有可能采取有效的森林管理措施来促进碳封存和养护。总体而言,我们的研究强调了遥感技术对了解森林覆盖变化及其对碳封存和减缓气候变化的影响的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
USING REMOTE SENSING TO DETECT FOREST COVER CHANGE IN SAM HOUSTON NATIONAL FOREST, TEXAS
Abstract. The Sam Houston National Forest is a large, forested area in Texas that has experienced significant land-use changes over the past few decades. The study area replicates plentiful climatic, physiographic, and edaphic differences in the country and this forest faces a serious problem of degradation and disturbance of different nature. In this study, we utilized remote sensing technology specifically Landsat 4 ETM and Landsat 8 from USGS Earth Explorer with spatial resolution 30 m, to analyze forest cover change in Sam Houston National Forest from 2001 to 2020. We also employed the Hansen Global Forest Cover Data from the Google Earth Engine Catalogue to assess the forest cover loss and gain within the study period. Also, the i-Tree software was used to estimate carbon sequestration in the forest and assess the potential benefits of forest management practices. Results of the study showed that the Sam Houston National Forest has experienced a net loss of forest cover over the past few decades, primarily due to agricultural expansion and urbanization. However, the forest has also shown signs of regrowth and recovery in certain areas, highlighting the potential for effective forest management practices to promote carbon sequestration and conservation. Overall, our study highlights the importance of remote sensing technology for understanding forest cover change and its implications for carbon sequestration and climate change mitigation.
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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
949
审稿时长
16 weeks
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