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Examining hickory plantation expansion and evaluating suitability for it using multitemporal satellite imagery and ancillary data

机译:使用多立体卫星图像和辅助数据检查山核桃种植园扩展和评估它的适用性

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摘要

Hickory (Carya cathayensis) plantations in northwestern Zhejiang Province, China, have been extensively expanded in the past three decades due to their high economic value; however, improper management has caused serious soil erosion problems. To better manage hickory plantations, it is necessary to accurately map the spatial distribution of hickory expansion and to evaluate land suitability of current hickory plantations, but little research on these issues has been conducted. This research used bi-temporal Chinese satellite Gaofen-1 images in 2015 (leaf-on and leaf-off) in combination with digital elevation model (DEM) data to develop a land-cover map with emphasis on young and mature hickory plantations using the random forest (RF) approach. The distribution data of hickory plantations in 2015 was then used to extract the spectral signatures of the 2010 Landsat imagery. The extracted spectral signatures were classified into different land covers using cluster analysis. The same approach was used with the Landsat imagery in 2005, 2000, 1995, 1990, and 1985 for mapping hickory dynamic change over time. The maximum entropy-based (MaxEnt) model was then used to evaluate the land suitability of these hickory plantations based on the identified factors from DEM, soil, and climate data. The results indicate that (1) the RF classifier based on multisource data can effectively produce a land-cover map with an overall accuracy of 89.5%, in particular, producer's and user's accuracies of 88.7% and 90.2%, respectively, for mature hickory, and 95.2% and 88.9%, respectively, for young hickory plantations; (2) the areas of hickory plantations increased from 157.6 km(2) in 1985 to 528.5 km(2) in 2015 with the highest average annual increase rate of 25.3 km(2) in 2000-2005 and mainly at the cost of coniferous forests, followed by shrub and broadleaf forests; and (3) the MaxEnt model can be effectively used to evaluate suitability for hickory plantations. Three suitability levels-highly suitable, moderately suitable, and marginally suitable-were grouped. The mature hickory forests in 1985 had a higher proportion at the highly suitable level than the expanded hickory plantations between 1985 and 2015. This research provides important results for local governments and farmers to improve the management of young hickory plantations. The approach used in this research may be used for evaluation of land suitability for other cash forests such as Torreya.
机译:中国西北部的山核桃(Carya Cathayensis)种植园,由于其高经济价值,过去三十年已广泛扩大;然而,管理不当引起了严重的土壤侵蚀问题。为了更好地管理山核桃园,有必要准确地映射山核桃膨胀的空间分布,并评估当前山核桃植物的土地适用性,但已经对这些问题进行了很少的研究。这项研究在2015年使用双颞中国卫星高芬-1图像(叶片和叶子)与数字海拔模型(DEM)数据相结合,以开发一个陆地覆盖地图,重点是使用的年轻和成熟的山核桃随机森林(RF)方法。然后使用2015年山核桃种植园的分布数据提取2010年Landsat图像的光谱签名。使用聚类分析将提取的光谱签名分为不同的陆地盖。与2005年,2000年,1995年,1990年和1985年的Landsat Imager使用相同的方法,用于随着时间的推移绘制山核桃动态变化。然后基于来自DEM,土壤和气候数据的鉴定因素来评估这些基于熵的(MAXENT)模型来评估这些山核桃库种植园的土地适用性。结果表明(1)基于多源数据的RF分类器可以有效地产生陆地覆盖图,其总精度为89.5%,特别是生产者和用户的准确性,分别为88.7%和90.2%,对于成熟的山核桃,对于年轻的山核桃园,分别为95.2%和88.9%; (2)山核桃种植园的地区从1985年的157.6公里增加到2015年的528.5公里(2)年,年增长率为25.3公里(2)在2000 - 2005年,主要是针叶林的成本,其次是灌木和阔叶林; (3)最大模型可以有效地用于评估山核桃种植园的适用性。三种适用性水平 - 高度合适,适度适合,并略有合适 - 被分组。 1985年成熟的山洪森林比1985年至2015年间扩张的山核桃植物在高度合适的水平上具有更高的比例。本研究为地方政府和农民提供了重要成果,以改善年轻的山核桃库种植园的管理。本研究中使用的方法可用于评估其他现金森林(如Torreeya)的土地适用性。

著录项

  • 来源
    《Applied Geography》 |2019年第2019期|共14页
  • 作者单位

    Fujian Normal Univ Fujian Prov Key Lab Subtrop Resources &

    Environm Fuzhou 350007 Fujian Peoples R China;

    Zhejiang A&

    F Univ Sch Environm &

    Resource Sci State Key Lab Subtrop Silviculture Hangzhou Zhejiang Peoples R China;

    Fujian Normal Univ Fujian Prov Key Lab Subtrop Resources &

    Environm Fuzhou 350007 Fujian Peoples R China;

    Zhejiang A&

    F Univ Sch Environm &

    Resource Sci State Key Lab Subtrop Silviculture Hangzhou Zhejiang Peoples R China;

    Zhejiang A&

    F Univ Sch Environm &

    Resource Sci State Key Lab Subtrop Silviculture Hangzhou Zhejiang Peoples R China;

    Anhui Normal Univ Coll Terr Resources &

    Tourism Wuhu 241002 Peoples R China;

    Zhejiang Prov LinAn Meteorol Bur Hangzhou 311300 Zhejiang Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自然地理学;
  • 关键词

    Hickory plantations; Random forest; Land-cover classification; Maximum entropy-based model; Zhejiang province;

    机译:山核桃种植园;随机森林;陆地覆盖分类;最大熵的模型;浙江省;
  • 入库时间 2022-08-20 01:13:47

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