A Bibliometric Analysis of the Application of Remote Sensing in Crop Spatial Patterns: Current Status, Progress and Future Directions

Xiao, Pengnan; Qian, Peng; Xu, Jie; Lu, Mengyao

doi:10.3390/su14074104

Cited by 4 publications

(5 citation statements)

References 81 publications

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“…The cultivated land system has certain scale features as an organic aspect of the natural environment and social economic system. Its spatial scale from large to small is shown as regional scale, plain landscape scale, grid scale and parcel scale [ 70 ]. There are substantial discrepancies in the abstraction and expression of cultivated land systems at different space-time scales [ 70 ].…”

Section: Discussionmentioning

confidence: 99%

“…Its spatial scale from large to small is shown as regional scale, plain landscape scale, grid scale and parcel scale [ 70 ]. There are substantial discrepancies in the abstraction and expression of cultivated land systems at different space-time scales [ 70 ]. The basic elements of the cultivated land system fluctuate with the time-space change rate, and the rate of change reflects the characteristics of human causes > biological variables > soil variables > geological variables [ 71 ].…”

Section: Discussionmentioning

confidence: 99%

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The Spatiotemporal Evolution Characteristics of Cultivated Land Multifunction and Its Trade-Off/Synergy Relationship in the Two Lake Plains

Xiao

Yong

et al. 2022

IJERPH

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The material foundation of sustainable agricultural development is cultivated land resources, and their sustainable use is critical to fostering agricultural sustainability and guaranteeing national food security. In this paper, the multifunctional evaluation framework of the cultivated land system based on the “GESEL” model at the grid scale (5 km × 5 km) is constructed to explore the spatiotemporal evolution characteristics of a multifunctional cultivated land system in two lake plains and the trade-off and synergy between the functions. The five functions are all unstable in time scales, and their spatial distribution characteristics are also different. The trade-off and synergy between the multiple functions of the cultivated land system in the two lake plains from 2000 to 2019 showed significant spatial heterogeneity. Most of the functions were mainly collaborative, and a few were trade-offs. The two lake plains can be divided into four multi-functional cultivated land zones: a grain production leading zone, a distinctive agricultural planting zone, a high-efficiency agricultural development zone, and an ecological agricultural construction zone. This research puts forward some countermeasures and suggestions to promote the sustainable utilization of cultivated land resources.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

The Spatiotemporal Evolution Characteristics of Cultivated Land Multifunction and Its Trade-Off/Synergy Relationship in the Two Lake Plains

Xiao

Yong

et al. 2022

IJERPH

Self Cite

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“…Compared with traditional survey methods, it has incomparable advantages and is increasingly used in agricultural production and management. As early as the 1960s, the Remote Sensing Agricultural Applications Laboratory at Purdue University in the United States was the first to use remote sensing data for crop planting area monitoring research, successfully monitoring a single corn crop and demonstrating the feasibility of satellite remote sensing data for crop monitoring [4]. In China, in 1979, Academician Chen Shupeng began to advocate using remote sensing technology for crop yield estimation.…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing Application in Chinese Medicinal Plant Identification and Acreage Estimation—A Review

Meng,

You,

Zhang

et al. 2023

Remote Sensing

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Chinese Materia Medica Resources (CMMRs) are crucial for developing the tradition and industry of traditional Chinese medicine. Given the increasing demand for CMMRs, an accurate and effective understanding of CMMRs is urgently needed. Chinese medicinal plants (CMPs) are the most important sources of CMMRs. Traditional methods of investigating medicinal plant resources have limitations, including severe subjectivity and poor timeliness, which make it difficult to meet the demand for real-time monitoring of large-scale medicinal plant resources. In recent years, remote sensing technology has become an important means of obtaining information on medicinal plants, and the application of this technology has made up for the shortcomings of traditional methods. This paper first discusses the development of investigation methods of CMMRs; points out the importance of remote sensing technology in the application of spatial distribution and information identification and extraction of Chinese medicinal plant resources (CMPRs); analyzes the characteristics of CMPs in different planting patterns, different habitats, and different regions from the perspective of remote sensing information extraction; and explores the selection of suitable data sources, providing a reference for medicinal plant identification and information extraction. Secondly, according to the existing classification and identification methods, previous studies are summarized from the perspectives of classification scales, classification features, and classification accuracy, and the advantages and disadvantages of the commonly used remote sensing classification methods in the investigation of CMPRs are summarized and compared. Finally, the development trend of remote sensing technology in the identification and information extraction of CMPs is examined, and the key technical problems to be solved in the identification and classification of CMPs and the extraction of area information are summarized so as to provide technical support and experience references for the application of remote sensing in the investigation of CMPRs.

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“…In this study, we aimed to analyze remote sensing research and SDG 11 from an interdisciplinary perspective. While numerous bibliometric analyses have addressed the different perspectives of remote sensing [19][20][21][22][23] and SDG 11 [24,25], a comprehensive bibliometric analysis of the interaction between remote sensing studies and their contributions to SDG 11 is not yet available. Here, we used a dataset spanning from 1 January 2016 to 30 June 2023 to provide a comprehensive analysis of the trends, collaborations, and thematic developments at the intersection of these two fields.…”

Section: Introductionmentioning

confidence: 99%

From Pixels to Sustainability: Trends and Collaborations in Remote Sensing for Advancing Sustainable Cities and Communities (SDG 11)

Ekmen,

Kocaman

2023

Sustainability

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Remote sensing data and methods have become indispensable for observing and modeling the Earth and have great potential for monitoring a substantial portion of the targets defined under the United Nations Sustainable Development Goals (SDGs). This study investigates remote sensing research on SDG 11 (sustainable cities and communities) from 2016 to 2023, highlighting the growing interest in the field. By evaluating a large number of selected articles (6820) using a specialized keyword selection strategy and various filters, a significant increase in publication frequency was observed. Remote Sensing and Sustainability were found to be the most relevant journals. A trend towards research addressing urban ecological quality, changes in land use patterns, and the impact of impervious surfaces was found in domain-specific citations. Semi-niche motor themes encompass deep learning, feature extraction, and semantic segmentation. Simultaneously, remote sensing, machine learning, and change detection serve as foundational motor themes, merging elements of both basic and motor themes. The introduction of new analytical methods (e.g., new indices), together with the use of open data and crowdsourcing, has gained great interest. While there has been a strong focus on land cover, urban expansion, and land surface temperature, the main gaps were identified in regional development, disaster, resilience, natural and cultural heritage, housing, and inclusiveness. The findings show the significance of remote sensing research and its practical applications for shaping urban policy, planning strategies, and sustainable urban development. By extracting research patterns using centrality and density analyses and identifying underexplored areas, valuable insights into relationships, significance, and developmental progress within SDG 11-related remote sensing research were gained and may contribute to future planning and informing policymaking decisions.

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A Bibliometric Analysis of the Application of Remote Sensing in Crop Spatial Patterns: Current Status, Progress and Future Directions

Cited by 4 publications

References 81 publications

The Spatiotemporal Evolution Characteristics of Cultivated Land Multifunction and Its Trade-Off/Synergy Relationship in the Two Lake Plains

The Spatiotemporal Evolution Characteristics of Cultivated Land Multifunction and Its Trade-Off/Synergy Relationship in the Two Lake Plains

Remote Sensing Application in Chinese Medicinal Plant Identification and Acreage Estimation—A Review

From Pixels to Sustainability: Trends and Collaborations in Remote Sensing for Advancing Sustainable Cities and Communities (SDG 11)

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