Method for assessing spectral indices efficiency for mapping tropical wetlands—SIA_MW

IF 2.3 Q2 REMOTE SENSING Applied Geomatics Pub Date : 2023-10-19 DOI:10.1007/s12518-023-00526-7
Doris Mejia Ávila, Sonia Lobo Cabeza, Viviana Cecilia Soto Barrera
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Abstract

A novel method for assessing spectral index efficiencies for landscape mapping in tropical wetlands was formulated: spectral indices assessment for mapping tropical wetlands (SIA_MW). SIA_MW consists of three stages: (1) identification of covers that make up the landscape, (2) feature selection consistency assessment, and (3) result validation. These stages are evaluated based on six criteria, each of which contains a decision rule (DR) with their respective rating alternatives. The DRs are integrated into two equations: efficiency of an index for landscape mapping in tropical wetlands (EIM_W) and efficiency of an index for water body mapping in tropical wetlands (EIM_Ww). SIA_MW has been proposed as a novel instrument that allows each of the stages of supervised classification to be developed and evaluated in an orderly and coherent manner. This ensures that the final decision to select an index is supported by a robust process that integrates qualitative and quantitative methods of spectral evaluation. SIA_MW is applicable to multiple remote sensing products and can be used in environments other than wetlands. This is because it is independent of factors such as landscape cover categories, the type of sensor product from which spectral indices are derived, and spectral classification algorithms. For the formulation of SIA_MW, the Bajo Sinú Wetland Complex (BSWC), located in northern Colombia, was selected as a pilot site, and 9 vegetation indices derived from a PlanteScope image were compared and evaluated. The soil-adjusted vegetation and water-adjusted vegetation indices (SAVI and WAVI, respectively) yielded the best results with values for EMI_W of 0.94 and 0.89, respectively. These results indicate SIA_MW was consistent because the covariance between the two best indices was 0.88. Additionally, the correlation between the DR scores of the evaluated indices was low, thus, indicating criteria complementarity.

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热带湿地制图光谱指数效率评估方法——sia_mw
提出了一种评估热带湿地景观制图光谱指数效率的新方法:热带湿地制图光谱指数评估(SIA_MW)。SIA_MW包括三个阶段:(1)组成景观的覆盖物识别,(2)特征选择一致性评估,(3)结果验证。这些阶段基于六个标准进行评估,每个标准都包含一个决策规则(DR)及其各自的评级选择。将dr整合到两个方程中:热带湿地景观制图效率指数(EIM_W)和热带湿地水体制图效率指数(EIM_Ww)。SIA_MW被提议作为一种新的工具,允许以有序和连贯的方式开发和评估监督分类的每个阶段。这确保了最终决定选择一个指数是由一个强大的过程,整合定性和定量方法的光谱评估支持。SIA_MW适用于多种遥感产品,可用于湿地以外的环境。这是因为它独立于诸如景观覆盖类别、衍生光谱指数的传感器产品类型和光谱分类算法等因素。为了构建SIA_MW,我们选择了位于哥伦比亚北部的Bajo Sinú湿地复合体(BSWC)作为试点,并对PlanteScope图像中的9个植被指数进行了比较和评估。土壤调节植被指数(SAVI)和水分调节植被指数(WAVI)的EMI_W值分别为0.94和0.89,效果最好。结果表明SIA_MW是一致的,两个最佳指标的协方差为0.88。此外,评估指标的DR评分之间的相关性较低,表明标准具有互补性。
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来源期刊
Applied Geomatics
Applied Geomatics REMOTE SENSING-
CiteScore
5.40
自引率
3.70%
发文量
61
期刊介绍: Applied Geomatics (AGMJ) is the official journal of SIFET the Italian Society of Photogrammetry and Topography and covers all aspects and information on scientific and technical advances in the geomatics sciences. The Journal publishes innovative contributions in geomatics applications ranging from the integration of instruments, methodologies and technologies and their use in the environmental sciences, engineering and other natural sciences. The areas of interest include many research fields such as: remote sensing, close range and videometric photogrammetry, image analysis, digital mapping, land and geographic information systems, geographic information science, integrated geodesy, spatial data analysis, heritage recording; network adjustment and numerical processes. Furthermore, Applied Geomatics is open to articles from all areas of deformation measurements and analysis, structural engineering, mechanical engineering and all trends in earth and planetary survey science and space technology. The Journal also contains notices of conferences and international workshops, industry news, and information on new products. It provides a useful forum for professional and academic scientists involved in geomatics science and technology. Information on Open Research Funding and Support may be found here: https://www.springernature.com/gp/open-research/institutional-agreements
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