Remote Sensing Applied in Forest Management to Optimize Ecosystem Services: Advances in Research

Abad-Segura, Emilio; González-Zamar, Mariana-Daniela; Vázquez‐Cano, Esteban; López-Meneses, Eloy

doi:10.3390/f11090969

Cited by 34 publications

(8 citation statements)

References 131 publications

(127 reference statements)

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“…These clusters can indicate the most current lines of interest among related researchers. There is another function of this software by calculating the term's relevance and nd the future direction of SLs research 41 . Analysis of terms' relevance is a helpful tool through the current and past development process of the research eld, grasp the research hotspot, and provide a reference for the exploration of the starting direction of the research.…”

Section: Scientometrics Analysis Methodsmentioning

confidence: 99%

“…Six clusters of the keywords and their links were grouped, and each group was identi ed with a different color. Figure 8 shows the group of pioneering keywords that has established the basis of the SLs studies 41 , such as livelihoods, deforestation, adaptation, impacts, resilience, governance. In addition, among the recent keywords related to this topic.…”

Section: Analysis Of the Abstract Co-occurrencementioning

confidence: 99%

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Unveiling the Past, Current and Future of Global Sustainable Livelihoods Research by Visual and Quantitative Analysis

Li¹,

Cui²,

Singh³

et al. 2021

Preprint

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Sustainable Livelihoods (SLs) is now a high-priority field in global environmental change research, becoming one of the key research paradigms in sustainability science increasingly and an important component of the Sustainable Development Goals. A Scientometrics analysis based on Science Citation Index-Expanded was performed to understand the research trends and areas in SLs studies. A total of 6441 papers related to SLs studies and 265, 759 references published from 1991 to 2020 were selected as the research objects. Using advanced quantitative analysis tools such as CiteSpace and VOSviewer, we quantify and visualize the characteristics and evolution of the literature in the field of SLs research, to clarify the historical research characteristics, knowledge base, and future research trends. The results show that the annual number of documents increased exponentially since 1991. Ecological sciences and ecology were the most popular Web of Science research areas. The institution with the greatest research documents and most citations was the CGIAR. The most influential journal is Word Development. Singh R.K., Shackleton C.M., was the most productive author. Six clusters of research areas were determined by keyword co-occurrence analysis. The results of the evolution of research hotspots show that the four tags currently still active. We also detected 11 directions of SLs research studies based on the keywords’ score relevance, which has allowed the iden-tification of future lines of research with more importance. These results can help related researchers better understand the past current and future of SLs research studies, which is significant for achieving livelihoods sustainability.

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Section: Scientometrics Analysis Methodsmentioning

confidence: 99%

Section: Analysis Of the Abstract Co-occurrencementioning

confidence: 99%

Unveiling the Past, Current and Future of Global Sustainable Livelihoods Research by Visual and Quantitative Analysis

Li¹,

Cui²,

Singh³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…The SSs have been applied to agricultural production to improve the efficiency of processes during all supply chain operations, such as monitoring leaf water content during crop growth in the field and the quality control process during the post-harvest phases [ 7 , 8 ]. The application of SSs in agriculture field have permitted improvements in several agricultural practices, e.g., crop breeding and phenotyping in high-throughput phenotyping application [ 9 ], agricultural land use monitoring and crops classification from satellites or airborne platforms [ 10 , 11 ], cereal yield forecasting [ 12 ], and ecosystem services focused on soil and water resources or losses in biodiversity [ 13 ]. The SSs are classified as multispectral (MS) and hyperspectral (HS) based on the number of the spectral bands resolved and samples in the same data acquisition, where the simultaneous acquisition of more or less than fourteen spectral bands is considered as the conventional threshold [ 1 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

A Novel Correction Methodology to Improve the Performance of a Low-Cost Hyperspectral Portable Snapshot Camera

Genangeli,

Avola,

Bindi

et al. 2023

Sensors

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The development of spectral sensors (SSs) capable of retrieving spectral information have opened new opportunities to improve several environmental and agricultural practices, e.g., crop breeding, plant phenotyping, land use monitoring, and crop classification. The SSs are classified as multispectral and hyperspectral (HS) based on the number of the spectral bands resolved and sampled during data acquisition. Large-scale applications of the HS remain limited due to the cost of this type of technology and the technical difficulties in hyperspectral data processing. Low-cost portable hyperspectral cameras (PHCs) have been progressively developed; however, critical aspects associated with data acquisition and processing, such as the presence of spectral discontinuities, signal jumps, and a high level of background noise, were reported. The aim of this work was to analyze and improve the hyperspectral output of a PHC Senop HSC-2 device by developing a general use methodology. Several signal gaps were identified as falls and jumps across the spectral signatures near 513, 650, and 930 nm, while the dark current signal magnitude and variability associated with instrumental noise showed an increasing trend over time. A data correction pipeline was successfully developed and tested, leading to 99% and 74% reductions in radiance signal jumps identified at 650 and 830 nm, respectively, while the impact of noise on the acquired signal was assessed to be in the range of 10% to 15%. The developed methodology can be effectively applied to other low-cost hyperspectral cameras.

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“…Hu et al (2017) used a scientometric visualization method to analyze night-time light remote sensing research from 1991 to 2016 [25]. In contrast, bibliometric or scientometric research methods have been widely used in other research fields related to remote sensing, such as water environmental processes [26], forest management [27], marine protected areas [28], human-environment interactions [29], human health [30], and crop growth monitoring [17].…”

Section: Introductionmentioning

confidence: 99%

Quantitative Analysis of the Research Trends and Areas in Grassland Remote Sensing: A Scientometrics Analysis of Web of Science from 1980 to 2020

Cui

et al. 2021

Remote Sensing

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Grassland remote sensing (GRS) is an important research topic that applies remote sensing technology to grassland ecosystems, reflects the number of grassland resources and grassland health promptly, and provides inversion information used in sustainable development management. A scientometrics analysis based on Science Citation Index-Expanded (SCI-E) was performed to understand the research trends and areas of focus in GRS research studies. A total of 2692 papers related to GRS research studies and 82,208 references published from 1980 to 2020 were selected as the research objects. A comprehensive overview of the field based on the annual documents, research areas, institutions, influential journals, core authors, and temporal trends in keywords were presented in this study. The results showed that the annual number of documents increased exponentially, and more than 100 papers were published each year since 2010. Remote sensing, environmental sciences, and ecology were the most popular Web of Science research areas. The journal Remote Sensing was one of the most popular for researchers to publish documents and shows high development and publishing potential in GRS research studies. The institution with the greatest research documents and most citations was the Chinese Academy of Sciences. Guo X.L., Hill M.J., and Zhang L. were the most productive authors across the 40-year study period in terms of the number of articles published. Seven clusters of research areas were identified that generated contributions to this topic by keyword co-occurrence analysis. We also detected 17 main future directions of GRS research studies by document co-citation analysis. Emerging or underutilized methodologies and technologies, such as unmanned aerial systems (UASs), cloud computing, and deep learning, will continue to further enhance GRS research in the process of achieving sustainable development goals. These results can help related researchers better understand the past and future of GRS research studies.

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Remote Sensing Applied in Forest Management to Optimize Ecosystem Services: Advances in Research

Cited by 34 publications

References 131 publications

Unveiling the Past, Current and Future of Global Sustainable Livelihoods Research by Visual and Quantitative Analysis

Unveiling the Past, Current and Future of Global Sustainable Livelihoods Research by Visual and Quantitative Analysis

A Novel Correction Methodology to Improve the Performance of a Low-Cost Hyperspectral Portable Snapshot Camera

Quantitative Analysis of the Research Trends and Areas in Grassland Remote Sensing: A Scientometrics Analysis of Web of Science from 1980 to 2020

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