确定角豆树(Neltuma piurensis)生态底层空间覆盖范围的新算法:奇拉-皮乌拉河流域案例

IF 3.8 Q2 ENVIRONMENTAL SCIENCES
Cristhian Aldana , Jaime Lloret , Wilmer Moncada , Joel Rojas Acuña , Yesenia Saavedra , Vicente Amirpasha Tirado-Kulieva
{"title":"确定角豆树(Neltuma piurensis)生态底层空间覆盖范围的新算法:奇拉-皮乌拉河流域案例","authors":"Cristhian Aldana ,&nbsp;Jaime Lloret ,&nbsp;Wilmer Moncada ,&nbsp;Joel Rojas Acuña ,&nbsp;Yesenia Saavedra ,&nbsp;Vicente Amirpasha Tirado-Kulieva","doi":"10.1016/j.rsase.2024.101363","DOIUrl":null,"url":null,"abstract":"<div><div>The carob tree (<em>Neltuma piurensis</em>) is characteristic of the forests of northern Peru, withstand extreme climatic events such as “El Niño” and droughts, in addition to the influence of climate change, affecting its distribution of coverage at different altitudes. The objective of this article is to propose an algorithm to determine the Spatial Coverage of Carob by Ecological Floor (SCCEF) in the Chira-Piura River Basin, Peru. The method used consisted of measuring the spectral signature of the carob tree with the FieldSpec4 spectroradiometer at three sampling points corresponding to the localities of Cardal, Lancones and Macacará, located on different ecological floors. The comparison of the spectral signatures for Cardal and Lancones gives an R<sup>2</sup> = 0.9459, for Cardal and Macacará an R<sup>2</sup> = 0.9866 and for Lancones with Macacará an R<sup>2</sup> = 0.9469, which allows an accurate identification of the carob tree in the satellite images. The Mann-Whitney-Wilcoxon <em>U</em> test validates the spectral signatures extracted from the satellite images with the spectral signatures measured with the spectroradiometer at Lancones (p-value = 0.9705 &gt;α = 0.05), Cardal (p-value = 0.9819 &gt; 0.05) and Macacará (p-value = 0.7959 &gt; 0.05). The results show that the SCCEF in the Tropical (T) ecological floor represents 1.55 % of the T area, in the Tropical Pre-Montane (TPM) ecological floor it is 1.47 % of the TPM area, in the Low Tropical Montane (LTM) ecological floor it is 0.78 % of the LTM area, in the Montane (M) ecological floor it is 0.69 % of the M area and in the Paramo (P) ecological floor it is 0.35 % of the P area. Therefore, the SCCEF decreases in each ecological floor as its altitude increases.</div></div>","PeriodicalId":53227,"journal":{"name":"Remote Sensing Applications-Society and Environment","volume":"36 ","pages":"Article 101363"},"PeriodicalIF":3.8000,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new algorithm to determine the spatial coverage of carob (Neltuma piurensis) by ecological floor: Chira-Piura River Basin case\",\"authors\":\"Cristhian Aldana ,&nbsp;Jaime Lloret ,&nbsp;Wilmer Moncada ,&nbsp;Joel Rojas Acuña ,&nbsp;Yesenia Saavedra ,&nbsp;Vicente Amirpasha Tirado-Kulieva\",\"doi\":\"10.1016/j.rsase.2024.101363\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The carob tree (<em>Neltuma piurensis</em>) is characteristic of the forests of northern Peru, withstand extreme climatic events such as “El Niño” and droughts, in addition to the influence of climate change, affecting its distribution of coverage at different altitudes. The objective of this article is to propose an algorithm to determine the Spatial Coverage of Carob by Ecological Floor (SCCEF) in the Chira-Piura River Basin, Peru. The method used consisted of measuring the spectral signature of the carob tree with the FieldSpec4 spectroradiometer at three sampling points corresponding to the localities of Cardal, Lancones and Macacará, located on different ecological floors. The comparison of the spectral signatures for Cardal and Lancones gives an R<sup>2</sup> = 0.9459, for Cardal and Macacará an R<sup>2</sup> = 0.9866 and for Lancones with Macacará an R<sup>2</sup> = 0.9469, which allows an accurate identification of the carob tree in the satellite images. The Mann-Whitney-Wilcoxon <em>U</em> test validates the spectral signatures extracted from the satellite images with the spectral signatures measured with the spectroradiometer at Lancones (p-value = 0.9705 &gt;α = 0.05), Cardal (p-value = 0.9819 &gt; 0.05) and Macacará (p-value = 0.7959 &gt; 0.05). The results show that the SCCEF in the Tropical (T) ecological floor represents 1.55 % of the T area, in the Tropical Pre-Montane (TPM) ecological floor it is 1.47 % of the TPM area, in the Low Tropical Montane (LTM) ecological floor it is 0.78 % of the LTM area, in the Montane (M) ecological floor it is 0.69 % of the M area and in the Paramo (P) ecological floor it is 0.35 % of the P area. Therefore, the SCCEF decreases in each ecological floor as its altitude increases.</div></div>\",\"PeriodicalId\":53227,\"journal\":{\"name\":\"Remote Sensing Applications-Society and Environment\",\"volume\":\"36 \",\"pages\":\"Article 101363\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2024-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Remote Sensing Applications-Society and Environment\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352938524002271\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing Applications-Society and Environment","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352938524002271","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

角豆树(Neltuma piurensis)是秘鲁北部森林的特色树种,除了受气候变化的影响外,还能抵御 "厄尔尼诺 "和干旱等极端气候事件,影响其在不同海拔高度的覆盖分布。本文旨在提出一种算法,用于确定秘鲁奇拉-皮乌拉河流域角豆树的空间生态覆盖率(SCCEF)。所采用的方法包括使用 FieldSpec4 分光辐射计测量角豆树在三个采样点的光谱特征,这三个采样点分别位于卡达尔、兰科内斯和马卡卡拉等地的不同生态层。通过比较卡达尔和兰科内斯的光谱特征,得出 R2 = 0.9459,卡达尔和马卡卡拉的 R2 = 0.9866,兰科内斯和马卡卡拉的 R2 = 0.9469,这样就能在卫星图像中准确识别角豆树。Mann-Whitney-Wilcoxon U 检验验证了从卫星图像中提取的光谱特征与在 Lancones(p 值 = 0.9705 >α=0.05)、Cardal(p 值 = 0.9819 >0.05)和 Macacará(p 值 = 0.7959 >0.05)用分光辐射计测量的光谱特征。结果显示,热带(T)生态区的 SCCEF 占 T 区面积的 1.55%,热带前山地(TPM)生态区的 SCCEF 占 TPM 区面积的 1.47%,低热带山地(LTM)生态区的 SCCEF 占 LTM 区面积的 0.78%,山地(M)生态区的 SCCEF 占 M 区面积的 0.69%,帕拉莫(Paramo)生态区的 SCCEF 占 P 区面积的 0.35%。因此,随着海拔的升高,每个生态层的 SCCEF 都在减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new algorithm to determine the spatial coverage of carob (Neltuma piurensis) by ecological floor: Chira-Piura River Basin case
The carob tree (Neltuma piurensis) is characteristic of the forests of northern Peru, withstand extreme climatic events such as “El Niño” and droughts, in addition to the influence of climate change, affecting its distribution of coverage at different altitudes. The objective of this article is to propose an algorithm to determine the Spatial Coverage of Carob by Ecological Floor (SCCEF) in the Chira-Piura River Basin, Peru. The method used consisted of measuring the spectral signature of the carob tree with the FieldSpec4 spectroradiometer at three sampling points corresponding to the localities of Cardal, Lancones and Macacará, located on different ecological floors. The comparison of the spectral signatures for Cardal and Lancones gives an R2 = 0.9459, for Cardal and Macacará an R2 = 0.9866 and for Lancones with Macacará an R2 = 0.9469, which allows an accurate identification of the carob tree in the satellite images. The Mann-Whitney-Wilcoxon U test validates the spectral signatures extracted from the satellite images with the spectral signatures measured with the spectroradiometer at Lancones (p-value = 0.9705 >α = 0.05), Cardal (p-value = 0.9819 > 0.05) and Macacará (p-value = 0.7959 > 0.05). The results show that the SCCEF in the Tropical (T) ecological floor represents 1.55 % of the T area, in the Tropical Pre-Montane (TPM) ecological floor it is 1.47 % of the TPM area, in the Low Tropical Montane (LTM) ecological floor it is 0.78 % of the LTM area, in the Montane (M) ecological floor it is 0.69 % of the M area and in the Paramo (P) ecological floor it is 0.35 % of the P area. Therefore, the SCCEF decreases in each ecological floor as its altitude increases.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
8.00
自引率
8.50%
发文量
204
审稿时长
65 days
期刊介绍: The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信