Bibliometric Analysis of Remote Sensing Research Trend in Crop Growth Monitoring: A Case Study in China

Wang, Limin; Zhang, Guimin; Wang, Ziyi; Liu, Jiangui; Shang, Jiali; Liang, Liang

doi:10.3390/rs11070809

Cited by 45 publications

(34 citation statements)

References 39 publications

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“…Viana et al [54] performed a bibliometric analysis to appraise the publication, research trends, and characteristics regarding the application of remote sensing data in human health. Wang et al used the bibliometric method to study the research status and trends in the remote sensing of crop growth monitoring in China [55]. However, no attempt has been made to evaluate the inventory and monitoring of PAs in the literature using bibliometric analysis methods.…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing Applications in Monitoring of Protected Areas: A Bibliometric Analysis

2020

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The development of remote sensing platforms and sensors and improvement in science and technology provide crucial support for the monitoring and management of protected areas. This paper presents an analysis of research publications, from a bibliometric perspective, on the remote sensing of protected areas. This analysis is focused on the period from 1991 to 2018. For data, a total of 4546 academic publications were retrieved from the Web of Science database. The VOSviewer software was adopted to evaluate the co-authorships among countries and institutions, as well as the co-occurrences of author keywords. The results indicate an increasing trend of annual publications in the remote sensing of protected areas. This analysis reveals the major topical subjects, leading countries, and most influential institutions around the world that have conducted relevant research in scientific publications; this study also reveals the journals that include the most publications, and the collaborative patterns related to the remote sensing of protected areas. Landsat, MODIS, and LiDAR are among the most commonly used satellites and sensors. Research topics related to protected area monitoring are mainly concentrated on change detection, biodiversity conservation, and climate change impact. This analysis can help researchers and scholars better understand the intellectual structure of the field and identify the future research directions.

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Section: Introductionmentioning

confidence: 99%

Remote Sensing Applications in Monitoring of Protected Areas: A Bibliometric Analysis

2020

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“…Pesawat tanpa awak menawarkan resolusi dan akurasi yang cukup baik, harganya yang terbilang murah dan daya tahan terbatas hanya beberapa jam. Batasan satelit dan pesawat tanpa awak adalah biaya peluncuran dan penerbangan yang tinggi, pengumpulan data yang lambat dan tergantung cuaca, kemampuan maneuver terbatas, ketersedian terbatas, waktu terbang terbatas, resolusi tanah terbatas [5] Tingkat resolusi pengambilan data satelit sekitar 30cm/pixel untuk citra berbayar dan 60-150cm/pixel untuk citra gratis (GoogleEarth), hal ini dapat mengakibatkan kesulitan dalam pencocokan data pengolahan data yang akan dibuat. Kebutuhan akualitas data untuk pemetaan perkebunan harus didapatkan secara realtime, namun menggunakan citra satelit selalu menggunakan data citra arsip yang diambil beberapa bulan sebelum permintaan.…”

Section: Surveiunclassified

Unmanned Aerial Vehicle (UAV) for Mapping Plantation Area

Sugeng

Putra²,

Muslim³

et al. 2019

Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan

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The development of oil palm plantations from the beginning of planting in 1848 until now can be said to be very significant. As the largest palm oil production country in the world Indonesia has many developing palm oil companies, both national and international. To monitor the vast oil palm plantations, a cheaper and more efficient technological innovation is needed. In order to observe the vast plantation area and the different topography of the land, which can complicate logistical access especially if there is rain making access difficult to pass, we conduct research on monitoring and mapping oil palm plantation areas. The monitoring function is to monitor plantation logistics lines such as, finding a faster route by looking at the contour of the land so as to facilitate transportation access from collectors to each existing post. As for mapping, it functions to map an area of 225 hectares with the aim of assessing the condition of oil palm plantations, especially assets from the garden itself. this activity is commonly referred to as landholders by surveying assets or inventory. The use of mapping techniques using unmanned aircraft has several advantages, one of which is more accurate mapping than using satellite imagery. From this mapping data can be developed again such as census mapping data, land use maps, land use planning, and monitoring of pests and weeds. The methods we use include improving the quality of camera resolution, adjusting aircraft height, adjusting aircraft speed, making good airframes, using 2 axis gimbals and special image processing methods Keywords : Mapping, Unmanned Aerial Vehicle (UAV), Plantation, Remote Sense, Aerial Photo

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“…In order to support the agricultural systems of Nepal and other analogous developing countries, freely available multi-temporal and multi-spectral remote sensing images have shown to be excellent tools to effectively monitor crops and their growth stages as well as estimating crop yields before harvest [15][16][17]. Many works in the literature exemplify these facts.…”

Section: Introductionmentioning

confidence: 99%

Rice-Yield Prediction with Multi-Temporal Sentinel-2 Data and 3D CNN: A Case Study in Nepal

et al. 2021

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Crop yield estimation is a major issue of crop monitoring which remains particularly challenging in developing countries due to the problem of timely and adequate data availability. Whereas traditional agricultural systems mainly rely on scarce ground-survey data, freely available multi-temporal and multi-spectral remote sensing images are excellent tools to support these vulnerable systems by accurately monitoring and estimating crop yields before harvest. In this context, we introduce the use of Sentinel-2 (S2) imagery, with a medium spatial, spectral and temporal resolutions, to estimate rice crop yields in Nepal as a case study. Firstly, we build a new large-scale rice crop database (RicePAL) composed by multi-temporal S2 and climate/soil data from the Terai districts of Nepal. Secondly, we propose a novel 3D Convolutional Neural Network (CNN) adapted to these intrinsic data constraints for the accurate rice crop yield estimation. Thirdly, we study the effect of considering different temporal, climate and soil data configurations in terms of the performance achieved by the proposed approach and several state-of-the-art regression and CNN-based yield estimation methods. The extensive experiments conducted in this work demonstrate the suitability of the proposed CNN-based framework for rice crop yield estimation in the developing country of Nepal using S2 data.

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Bibliometric Analysis of Remote Sensing Research Trend in Crop Growth Monitoring: A Case Study in China

Cited by 45 publications

References 39 publications

Remote Sensing Applications in Monitoring of Protected Areas: A Bibliometric Analysis

Remote Sensing Applications in Monitoring of Protected Areas: A Bibliometric Analysis

Unmanned Aerial Vehicle (UAV) for Mapping Plantation Area

Rice-Yield Prediction with Multi-Temporal Sentinel-2 Data and 3D CNN: A Case Study in Nepal

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