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Journal articles on the topic 'Optical remote sensing satellite'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Liu, Tinghao, Zhen Li, Ting Li, et al. "Optimal Design of Flexible Imaging Modes for Agile Optical Remote Sensing Satellites." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-3-2024 (November 7, 2024): 305–10. http://dx.doi.org/10.5194/isprs-archives-xlviii-3-2024-305-2024.

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Abstract. By utilizing their ability to maneuver along the three axes of roll, pitch and yaw, agile satellites can point quickly at the imaging area and control the optical axis of the satellite sweep in a specific manner, thus achieve a flexible imaging work mode, which can greatly enhance the mission execution ability of the satellite, and give full play to the satellite's efficiency. Optical remote sensing satellites using dynamic imaging modes have more complex and diverse imaging modes, and the number of imaging parameters that can be combined and selected significantly increases. On the

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Ye, Fanghong, Tinghua Ai, Jiaming Wang, Yuan Yao, and Zheng Zhou. "A Method for Classifying Complex Features in Urban Areas Using Video Satellite Remote Sensing Data." Remote Sensing 14, no. 10 (2022): 2324. http://dx.doi.org/10.3390/rs14102324.

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The classification of optical satellite-derived remote sensing images is an important satellite remote sensing application. Due to the wide variety of artificial features and complex ground situations in urban areas, the classification of complex urban features has always been a focus of and challenge in the field of remote sensing image classification. Given the limited information that can be obtained from traditional optical satellite-derived remote sensing data of a classification area, it is difficult to classify artificial features in detail at the pixel level. With the development of te

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Kumar, Suresh, and Vijay Bhagat. "Remote Sensing Satellites for Land Applications: A Review." Remote Sensing of Land 2, no. 2 (2019): 96–104. http://dx.doi.org/10.21523/gcj1.18020203.

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Satellite remote sensing offers a unique opportunity in deriving various components of land information by integrating with ground based observation. Currently several remote sensing satellites are providing multispectral, hyperspectral and microwave data to cater the need of various land applications. Several old age remote sensing satellites have been updated with new generation satellites offering high spatial, spectral and temporal resolution. Microwave remote sensing data is now available with high spatial resolution and providing land information in cloudy weather condition that strength

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Li, Yuheng. "Optical and structural designs for GEO orbit remote-sensing satellite and its camera system." Theoretical and Natural Science 26, no. 1 (2023): 215–20. http://dx.doi.org/10.54254/2753-8818/26/20241070.

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Since 1957, when the Soviet Union launched the first artificial satellite, Sputnik I, attempts have been made to bring convenience to people by interacting with terrestrial facilities through orbital space. Geostationary Earth-orbiting remote sensing satellites provide the ability to continuously scan and explore a specific area, allowing researchers to obtain more accurate information about the Earth, which benefits mankind in many ways. This paper analyzes the payload satellite camera carried by remote sensing satellites, explains the working principle of the camera, and outlines the relevan

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Cao, Xibin, Fan Zhang, Xiaohui Lin, Zhaowei Sun, and Guodong Xu. "Optical remote sensing small satellite project." Acta Astronautica 54, no. 2 (2004): 139–43. http://dx.doi.org/10.1016/s0094-5765(02)00284-9.

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Yang, Wenbing, Feng Tong, Xiaoqi Gao, Chunlei Zhang, Guantian Chen, and Zhijian Xiao. "Remote Sensing Image Compression Evaluation Method Based on Neural Network Prediction and Fusion Quality Fidelity." Mobile Information Systems 2021 (May 11, 2021): 1–9. http://dx.doi.org/10.1155/2021/9948811.

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Lossy compression can produce false information, such as blockiness, noise, ringing, ghosting, aliasing, and blurring. This paper provides a comprehensive model for optical remote sensing image characteristics based on the block standard deviation’s retention rate (BSV). We first propose a compression evaluation method, CR_CI, that combines neural network prediction and remote sensing image quality fidelity. Through the compression evaluation and improved experimental verification of multiple satellites (CBERS-02B satellite, ZY-1-02C satellite, CBERS-04 satellite, GF-1, GF-2, etc.), CR_CI can

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Zheng, Zhonggang, Qingmei Li, and Kun Fu. "Evaluation Model of Remote Sensing Satellites Cooperative Observation Capability." Remote Sensing 13, no. 9 (2021): 1717. http://dx.doi.org/10.3390/rs13091717.

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This paper proposed a new remote sensing observation capability evaluation model (RSOCE) based on analytic hierarchy process to quantitatively evaluate the capability of multi-satellite cooperative remote sensing observation. The analytic hierarchical process model is a combination of qualitative and quantitative analysis of systematic decision analysis method. According to the objective of the remote sensing cooperative observation mission, we decompose the complex problem into several levels and a number of factors, compare and calculate various factors in pairs, and obtain the combination w

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Palani, Murugan, Lakshmi Gomathi, and Kumar Gautam Vivek. "High Resolution Optical Remote Sensing Satellites - Challenges and Techniques." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 5 (2020): 495–502. https://doi.org/10.35940/ijeat.E9670.069520.

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High spatial resolution satellite data is essential to identify small objects and extract minute details of the terrain. This data is provided by many satellites and being used in numerous applications. The realization of high resolution satellite is a challenging task. Significant complexity lies in the realization of high spatial resolution camera starting from material selection, high stiffness-low mass opto-mechanical system design, detector selection to high speed camera electronics design. The mass and size of camera increase with the improvement in spatial resolution. Alternate methods

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Bai, J., J. N. Gao, Y. Dang, and F. J. Luo. "RESEARCH ON AUTOMATED DATA PROCESSING METHOD OF PCI GEOGRAPHIC IMAGING ACCELERATOR (GXL) SYSTEM FOR BIG DATA OF SUPERVIEW-1 REMOTE SENSING IMAGE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W10 (February 7, 2020): 691–97. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w10-691-2020.

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Abstract. The Chinese government attaches great importance to the development of remote sensing satellites and has now formed satellite series such as meteorological satellites, ocean satellites, resource satellites and environmental disaster reduction satellites. At the same time, many commercial space programs have been put forward or implemented in China in recent years. As the first commercial-oriented multi-means and high-resolution optical remote sensing satellite constellation in China, "Superview-1" satellite constellation is undoubtedly one of the outstanding representatives. In the i

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Kabir, Sakib, Larry Leigh, and Dennis Helder. "Vicarious Methodologies to Assess and Improve the Quality of the Optical Remote Sensing Images: A Critical Review." Remote Sensing 12, no. 24 (2020): 4029. http://dx.doi.org/10.3390/rs12244029.

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Over the past decade, number of optical Earth-observing satellites performing remote sensing has increased substantially, dramatically increasing the capability to monitor the Earth. The quantity of remote sensing satellite increase is primarily driven by improved technology, miniaturization of components, reduced manufacturing, and launch cost. These satellites often lack on-board calibrators that a large satellite utilizes to ensure high quality (radiometric, geometric, spatial quality, etc.) scientific measurement. To address this issue, this work presents “best” vicarious image quality ass

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Ivanov, A. Yu, D. V. Khlebnikov, B. V. Konovalov, S. K. Klimenko, and N. V. Terleeva. "Kerch Strait and Its Technogenic Pollution: Possibilities of Optical and Radar Remote Sensing." Ecology and Industry of Russia 25, no. 8 (2021): 21–27. http://dx.doi.org/10.18412/1816-0395-2021-8-21-27.

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The possibilities of using satellite imagery of modern remote sensing satellites, both optical and radar, to study anthropogenic pollution and the state of the marine environment of the Kerch Strait are discussed. It is shown that satellite data and images allow one to quickly obtain practically complete information about a particular phenomenon and emergency situation in the strait.

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Zhao, Zilu, Hui Long, and Hongjian You. "An Optical Remote Sensing Image Matching Method Based on the Simple and Stable Feature Database." Applied Sciences 13, no. 7 (2023): 4632. http://dx.doi.org/10.3390/app13074632.

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Satellite remote sensing has entered the era of big data due to the increase in the number of remote sensing satellites and imaging modes. This presents significant challenges for the processing of remote sensing systems and will result in extremely high real-time data processing requirements. The effective and reliable geometric positioning of remote sensing images is the foundation of remote sensing applications. In this paper, we propose an optical remote sensing image matching method based on a simple stable feature database. This method entails building the stable feature database, extrac

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ARANUVACHAPUN, SASITHORN. "Satellite remote sensing of atmospheric optical depth spectrum." International Journal of Remote Sensing 7, no. 4 (1986): 499–514. http://dx.doi.org/10.1080/01431168608954705.

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Sozzi, Marco, Ahmed Kayad, Stefano Gobbo, Alessia Cogato, Luigi Sartori, and Francesco Marinello. "Economic Comparison of Satellite, Plane and UAV-Acquired NDVI Images for Site-Specific Nitrogen Application: Observations from Italy." Agronomy 11, no. 11 (2021): 2098. http://dx.doi.org/10.3390/agronomy11112098.

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Defining the most profitable remote sensing platforms is a difficult decision-making process, as it requires agronomic and economic considerations. In this paper, the price and profitability of three levels of remote sensing platforms were evaluated to define a decision-making process. Prices of satellite, plane and UAV-acquired vegetation indices were collected in Italy during 2020 and compared to the economic benefits resulting from variable rate nitrogen application, according to a bibliographic meta-analysis performed on grains. The quality comparison of these three technologies was perfor

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Korchemkina, Elena N., and Daria V. Kalinskaya. "Algorithm of Additional Correction of Level 2 Remote Sensing Reflectance Data Using Modelling of the Optical Properties of the Black Sea Waters." Remote Sensing 14, no. 4 (2022): 831. http://dx.doi.org/10.3390/rs14040831.

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Atmospheric correction of satellite optical data is based on an assessment of the optical characteristics of the atmosphere, such as the aerosol optical depth of the atmosphere and the spectral slope of its spectrum, the so-called Angstrom parameter. Inaccurate determination of these parameters is one of the causes of errors in the retrieval of the remote sensing reflectance spectra. In this work, the obtained large array of field and satellite data for the northeastern part of the Black Sea is used, including ship-based measurements of atmospheric characteristics and sea reflectance, MODIS Aq

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Li, Chuan, Xiangyu Zhu, Xuwen Li, et al. "All-Weather Monitoring of Ulva prolifera in the Yellow Sea Based on Sentinel-1, Sentinel-3, and NPP Satellite Data." Remote Sensing 15, no. 24 (2023): 5772. http://dx.doi.org/10.3390/rs15245772.

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Ulva prolifera (U. prolifera), a global eco-environmental issue, has been recurring annually in the Yellow Sea of China since 2007, leading to significant impacts on the coastal ecosystem and the economies of coastal cities. To enhance the frequency of daily monitoring for U. prolifera and to advance the multi-source remote sensing monitoring system, a combination of the Sentinel-1 SAR remote sensing satellite and the Sentinel-3 OLCI and NPP VIIRS optical remote sensing satellites was employed. This comprehensive analysis encompassed the examination of Sentinel-1 C band characteristics, the ra

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Zheliabov, Petro Oleksandrovich, Dmytro Faizullin, and Anatoliy Mikhaylovich Kulabukhov. "HIGH PERFORMANCE PROCESSING CLUSTER FOR REMOTE SENSING SPACECRAFTS." Journal of Rocket-Space Technology 28, no. 4 (2021): 103–9. http://dx.doi.org/10.15421/452014.

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Recently, there has been a tendency to complicate real time control algorithms, to process a large amount of information from the satellite payload (optical, radar, communication systems) directly on board and to create highly informative communication lines with both ground stations and other satellites. The conditions of outer space (vacuum, radiation) impose significant restrictions on the computing capabilities of onboard equipment, which is used as an onboard digital computer complex, and lead to a significant increasing in the cost of space components. A high-performance and relatively c

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Wang, Zhibao, Lu Bai, Guangfu Song, et al. "An Oil Well Dataset Derived from Satellite-Based Remote Sensing." Remote Sensing 13, no. 6 (2021): 1132. http://dx.doi.org/10.3390/rs13061132.

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Estimation of the number and geo-location of oil wells is important for policy holders considering their impact on energy resource planning. With the recent development in optical remote sensing, it is possible to identify oil wells from satellite images. Moreover, the recent advancement in deep learning frameworks for object detection in remote sensing makes it possible to automatically detect oil wells from remote sensing images. In this paper, we collected a dataset named Northeast Petroleum University–Oil Well Object Detection Version 1.0 (NEPU–OWOD V1.0) based on high-resolution remote se

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Volosheniuk, O. L., and D. O. Khramov. "Commercial constellations of small satellites for Earth remote sensing." Technical mechanics 2025, no. 1 (2025): 36–51. https://doi.org/10.15407/itm2025.01.036.

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In the development of Earth remote sensing (ERS) over the last decade, small spacecraft constellations owned by private companies have played a leading role. The analysis of these constellations carried out in this study allowed one to identify trends in their development for the coming years and possibilities for data collection and processing. Since 2011, a many-fold increase in the number and size of commercial constellations has been observed. It is expected that by the end of 2025 the number of constellations will have reached 81, which is almost 12 times greater than in 2015. The number

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Wang, Yusong, Chaoli Zeng, Xing Zhong, Xin Hu, Junchang Guan, and Xiaozhou Yu. "Preliminary design of lunar high-resolution remote sensing micro-nano satellite." Journal of Physics: Conference Series 2691, no. 1 (2024): 012043. http://dx.doi.org/10.1088/1742-6596/2691/1/012043.

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Abstract The development and utilization of lunar resources and the construction of lunar scientific research stations are important parts of China’s future lunar exploration plan. Aiming at the problems of China’s micro-nano satellites with low radiation resistance, lack of autonomous Earth-Moon transfer capability, and limited optical system volume and quality, a preliminary design scheme of a lunar remote sensing micro-nano satellite with autonomous Earth-Moon transfer capability is proposed. Using the analytical orbit average technology and transcription and collocation method to calculate

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YAMAZAKI, FUMIO, and MASASHI MATSUOKA. "REMOTE SENSING TECHNOLOGIES IN POST-DISASTER DAMAGE ASSESSMENT." Journal of Earthquake and Tsunami 01, no. 03 (2007): 193–210. http://dx.doi.org/10.1142/s1793431107000122.

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This paper highlights the recent applications of remote sensing technologies in post-disaster damage assessment, especially in the 2004 Indian Ocean tsunami and the 2006 Central Java earthquake. After the 2004 Indian Ocean tsunami, satellite images which captured the affected areas before and after the event were fully employed in field investigations and in tsunami damage mapping. Since the affected areas are vast, moderate resolution satellite images were quite effective in change detection due to the tsunami. Using high-resolution optical satellite images acquired before and after the 2006

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Cai, Wenting, Shuhe Zhao, Yamei Wang, Fanchen Peng, Joon Heo, and Zheng Duan. "Estimation of Winter Wheat Residue Coverage Using Optical and SAR Remote Sensing Images." Remote Sensing 11, no. 10 (2019): 1163. http://dx.doi.org/10.3390/rs11101163.

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As an important part of the farmland ecosystem, crop residues provide a barrier against water erosion, and improve soil quality. Timely and accurate estimation of crop residue coverage (CRC) on a regional scale is essential for understanding the condition of ecosystems and the interactions with the surrounding environment. Satellite remote sensing is an effective way of regional CRC estimation. Both optical remote sensing and microwave remote sensing are common means of CRC estimation. However, CRC estimation based on optical imagery has the shortcomings of signal saturation in high coverage a

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Dash, Jadunandan, and Booker O. Ogutu. "Recent advances in space-borne optical remote sensing systems for monitoring global terrestrial ecosystems." Progress in Physical Geography: Earth and Environment 40, no. 2 (2016): 322–51. http://dx.doi.org/10.1177/0309133316639403.

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Since the launch of the first Landsat satellite in the early 1970s, the field of space-borne optical remote sensing has made significant progress. Advances have been made in all aspects of optical remote sensing data, including improved spatial, temporal, spectral and radiometric resolutions, which have increased the uptake of these data by wider scientific communities. Flagship satellite missions such as NASA’s Terra and Aqua and ESA’s Envisat with their high temporal (<3days) and spectral (15–36 bands) resolutions opened new opportunities for routine monitoring of various aspects of terre

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Chen, Jiang, Tong Yu, Jerome H. Cherney, and Zhou Zhang. "Optimal Integration of Optical and SAR Data for Improving Alfalfa Yield and Quality Traits Prediction: New Insights into Satellite-Based Forage Crop Monitoring." Remote Sensing 16, no. 5 (2024): 734. http://dx.doi.org/10.3390/rs16050734.

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Global food security and nutrition is suffering from unprecedented challenges. To reach a world without hunger and malnutrition by implementing precision agriculture, satellite remote sensing plays an increasingly important role in field crop monitoring and management. Alfalfa, a global widely distributed forage crop, requires more attention to predict its yield and quality traits from satellite data since it supports the livestock industry. Meanwhile, there are some key issues that remain unknown regarding alfalfa remote sensing from optical and synthetic aperture radar (SAR) data. Using Sent

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Shi, Xiaoxia, Xindong Li, and Yu Wang. "A mission planning method for sunlight avoidance period of GEO optical remote sensing satellite." Journal of Physics: Conference Series 2364, no. 1 (2022): 012056. http://dx.doi.org/10.1088/1742-6596/2364/1/012056.

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Abstract GEO optical remote sensing satellites need to avoid sunlight entering the camera optical system at midnight hours. For the existing evasion methods such as thermal doors and posture planning, nearly 15% of the satellite in-orbit life cannot be reasonably utilized due to the passive evasion methods. To solve this problem, a method based on mission planning is proposed. When evasion begins, the satellite changes the orbital coordinate system into the inertial coordinate system and maintains the safe attitude in inertial space. If space missions are planned such as camera calibrations an

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Musa, Z. N., I. Popescu, and A. Mynett. "A review of applications of satellite SAR, optical, altimetry and DEM data for surface water modelling, mapping and parameter estimation." Hydrology and Earth System Sciences 19, no. 9 (2015): 3755–69. http://dx.doi.org/10.5194/hess-19-3755-2015.

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Abstract. Hydrological data collection requires deployment of physical infrastructure like rain gauges, water level gauges, as well as use of expensive equipment like echo sounders. Many countries around the world have recorded a decrease in deployment of physical infrastructure for hydrological measurements; developing countries especially have less of this infrastructure and, where it exists, it is poorly maintained. Satellite remote sensing can bridge this gap, and has been applied by hydrologists over the years, with the earliest applications in water body and flood mapping. With the avail

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Musa, Z. N., I. Popescu, and A. Mynett. "A review of applications of satellite SAR, optical, altimetry and DEM data for surface water modelling, mapping and parameter estimation." Hydrology and Earth System Sciences Discussions 12, no. 5 (2015): 4857–78. http://dx.doi.org/10.5194/hessd-12-4857-2015.

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Abstract. Hydrological data collection requires deployment of physical infrastructure like rain gauges, water level gauges, as well as use of expensive equipment like echo sounders. Many countries around the world have recorded a decrease in deployment of physical infrastructure for hydrological measurements; developing countries especially have less of this infrastructure and where they exist, they are poorly maintained. Satellite remote sensing can bridge this gap, and has been applied by hydrologists over the years, with the earliest applications in water body and flood mapping. With the av

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Sizov, O. S. "Comparative analysis of function of the optical spacecraft Earth's remote sensing based on the ratio between the mass of the satellite and the maximum spatial resolution of the target equipment." Geodesy and Cartography 920, no. 2 (2017): 46–56. http://dx.doi.org/10.22389/0016-7126-2017-920-2-46-56.

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The paper analyzes the development of the technical capabilities of civil optical satellite ERS with a spatial resolution higher than 10 m/pix. On the basis of the ratio between the mass of the spacecraft and the maximum resolution of target equipment is offered hyperbolic regression function that describes the average specification for remote sensing systems with varying degrees of detail. The statistical sampling includes all the civil remote sensing satellites with high and ultra-high resolution, functioning on the orbit at the beginning of May 2016. The analysis on the effectiveness of mis

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Yu, Wei, Hongjian You, Peng Lv, Yuxin Hu, and Bing Han. "A Moving Ship Detection and Tracking Method Based on Optical Remote Sensing Images from the Geostationary Satellite." Sensors 21, no. 22 (2021): 7547. http://dx.doi.org/10.3390/s21227547.

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Geostationary optical remote sensing satellites, such as the GF-4, have a high temporal resolution and wide coverage, which enables the continuous tracking and observation of ship targets over a large range. However, the ship targets in the images are usually small and dim and the images are easily affected by clouds, islands and other factors, which make it difficult to detect the ship targets. This paper proposes a new method for detecting ships moving on the sea surface using GF-4 satellite images. First, the adaptive nonlinear gray stretch (ANGS) method was used to enhance the image and hi

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Pujianiki, Ni Nyoman, and Komang Gede Putra Airlangga. "Analysis of Bathymetry Accuracy Using Sentinel 2 Satellite on Different Characteristics Waters in Bali Island." International Journal on Advanced Science, Engineering and Information Technology 14, no. 4 (2024): 1363–72. http://dx.doi.org/10.18517/ijaseit.14.4.19934.

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Bathymetry surveys today are often carried out using the echo-sounding method, but this method has disadvantages, such as requiring a lot of time and being quite expensive. Along with the development of technology, some alternative methods can be used to visualize bathymetry, such as remote sensing. Remote Sensing uses satellite imagery in the operation, while the technique to acquire bathymetry is called Satellite-Derived Bathymetry (SDB). This method uses an optical satellite with several color bands or multispectral images. In this research, a satellite used to map ocean depth is Sentinel-2

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He, Junjie, Yinan Lin, Fangzhe Shi, Jiajun Fu, and Boning Chen. "Sentinel-2 Research on the Detection and Classification Methods of Maritime Ship Targets from Remote Sensing Images." Journal of Physics: Conference Series 2425, no. 1 (2023): 012014. http://dx.doi.org/10.1088/1742-6596/2425/1/012014.

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Abstract There are problems such as low recognition accuracy and large classification error in the existing classification methods for ship identification based on optical remote sensing images. In this paper, we will analyze the characteristics of ships and determine the indicative factors for applying remote sensing to monitor ships in combination with optical remote sensing images. Using optical remote sensing image data, combined with U-Net and AttU-Net deep neural network models, we assist in extracting new remote sensing indices with strong generality and clear physical meaning, and esta

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Sun, Hequan, Chunhua Li, and Yifeng Cheng. "Monitoring Polar Sea Ice Using Optical and SAR Data." Marine Technology Society Journal 53, no. 6 (2019): 35–41. http://dx.doi.org/10.4031/mtsj.53.6.4.

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AbstractWith the movement and destructiveness of sea ice, conventional in situ instruments are restricted or unavailable for polar sea ice observation. Satellite remote sensing is a feasible way to monitor sea ice in the polar area. Multispectral imaging spectrometer and synthetic aperture radar are applied to monitoring the sea ice in this article with high spatial resolution, wide swath, and continuous imaging. The sea ice distribution and motion can be measured by analyzing satellite remote sensing images. The image segmentation method is presented in the article to obtain the sea ice distr

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Kalinskaya, Darya V., and Anna S. Papkova. "Why Is It Important to Consider Dust Aerosol in the Sevastopol and Black Sea Region during Remote Sensing Tasks? A Case Study." Remote Sensing 14, no. 8 (2022): 1890. http://dx.doi.org/10.3390/rs14081890.

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Atmospheric correction of satellite optical data is based on an assessment of the optical characteristics of the atmosphere, such as the aerosol optical thickness of the atmosphere and the spectral slope, the so-called Angstrom parameter. Inaccurate determination of these parameters is one of the causes of error in the retrieval of remote-sensed reflectance spectra. In this work, a large array of field and satellite data measured in Sevastopol and the northeastern part of the Black Sea were used, including ship-based measurements of atmospheric characteristics and sea reflectance, MODIS Aqua/T

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Zhong, Xing, Jiashi Feng, Yanjie Li, Chenglong Yang, Feifei Zhang, and Haofeng Li. "Stray Light Suppression Design and Test for the Jilin-1 GF04A Satellite Remote Sensing Camera." Remote Sensing 17, no. 9 (2025): 1512. https://doi.org/10.3390/rs17091512.

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The stray light suppression design aims to reduce the impact of stray light on optical systems. For high-resolution optical remote sensing systems, practical tests of stray light suppression performance are essential to ensure optimal functionality. However, due to system complexity and spatial constraints, physical test methods for evaluating the stray light suppression performance of large-aperture, long-focal-length remote sensing cameras remain scarce. To address this issue, a comprehensive test is conducted on the stray light suppression performance of the Jilin-1 GF04A satellite remote s

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Zhang, F., Z. Zhang, L. Yan, et al. "ADVANCES IN OPTICAL POLARIZATION REMOTE SENSING FOR MARINE OBSERVATION: A CASE STUDY IN NANCHANG RIVER PARK." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2022 (May 17, 2022): 101–6. http://dx.doi.org/10.5194/isprs-annals-v-3-2022-101-2022.

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Abstract. Marine observation is a worldwide challenge, which implicates for a large number of social, economic and scientific problems. Satellite remote sensing provides incredible convenience for marine observation, and remote sensing techniques with different wavelength range have been developed for scientific use related to oceanography, among of which optical polarization remote sensing is a rapidly growing field in the recent decade. Although some attempts have been made about utilizing optical polarization technique for marine observation, the potential of optical polarization remote sen

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Albertini, Cinzia, Andrea Gioia, Vito Iacobellis, and Salvatore Manfreda. "Detection of Surface Water and Floods with Multispectral Satellites." Remote Sensing 14, no. 23 (2022): 6005. http://dx.doi.org/10.3390/rs14236005.

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The use of multispectral satellite imagery for water monitoring is a fast and cost-effective method that can benefit from the growing availability of medium–high-resolution and free remote sensing data. Since the 1970s, multispectral satellite imagery has been exploited by adopting different techniques and spectral indices. The high number of available sensors and their differences in spectral and spatial characteristics led to a proliferation of outcomes that depicts a nice picture of the potential and limitations of each. This paper provides a review of satellite remote sensing applications

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Zhao, Rongkun, Yuechen Li, and Mingguo Ma. "Mapping Paddy Rice with Satellite Remote Sensing: A Review." Sustainability 13, no. 2 (2021): 503. http://dx.doi.org/10.3390/su13020503.

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Paddy rice is a staple food of three billion people in the world. Timely and accurate estimation of the paddy rice planting area and paddy rice yield can provide valuable information for the government, planners and decision makers to formulate policies. This article reviews the existing paddy rice mapping methods presented in the literature since 2010, classifies these methods, and analyzes and summarizes the basic principles, advantages and disadvantages of these methods. According to the data sources used, the methods are divided into three categories: (I) Optical mapping methods based on r

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Zhao, Rongkun, Yuechen Li, and Mingguo Ma. "Mapping Paddy Rice with Satellite Remote Sensing: A Review." Sustainability 13, no. 2 (2021): 503. http://dx.doi.org/10.3390/su13020503.

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Paddy rice is a staple food of three billion people in the world. Timely and accurate estimation of the paddy rice planting area and paddy rice yield can provide valuable information for the government, planners and decision makers to formulate policies. This article reviews the existing paddy rice mapping methods presented in the literature since 2010, classifies these methods, and analyzes and summarizes the basic principles, advantages and disadvantages of these methods. According to the data sources used, the methods are divided into three categories: (I) Optical mapping methods based on r

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Andrés-Anaya, Paula, Adolfo Molada-Tebar, David Hernández-López, Miguel Ángel Moreno, Diego González-Aguilera, and Mónica Herrero-Huerta. "Radiometric Improvement of Spectral Indices Using Multispectral Lightweight Sensors Onboard UAVs." Drones 8, no. 2 (2024): 36. http://dx.doi.org/10.3390/drones8020036.

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Close-range remote sensing techniques employing multispectral sensors on unoccupied aerial vehicles (UAVs) offer both advantages and drawbacks in comparison to traditional remote sensing using satellite-mounted sensors. Close-range remote sensing techniques have been increasingly used in the field of precision agriculture. Planning the flight, including optimal flight altitudes, can enhance both geometric and temporal resolution, facilitating on-demand flights and the selection of the most suitable time of day for various applications. However, the main drawbacks stem from the lower quality of

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PARIHAR, JAI SINGH. "FASAL concept in meeting the requirements of assessment and forecasting crop production affected by extreme weather events." MAUSAM 67, no. 1 (2021): 93–104. http://dx.doi.org/10.54302/mausam.v67i1.1151.

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The research in remote sensing application in India started first in agriculture way back in 1969. With the improvement in satellite sensors, data processing algorithms, models and computational power over time, this research culminated into development of operational projects of CAPE and FASAL, tackling an important issue of operationally providing pre-harvest crop production forecast to stakeholders. This review paper details the sequential developments in the use of remote sensing data for crop production forecasting. The scientific developments in the use of single and multi-temporal optic

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Delacourt, Christophe, Pascal Allemand, Etienne Berthier, et al. "Remote-sensing techniques for analysing landslide kinematics: a review." Bulletin de la Société Géologique de France 178, no. 2 (2007): 89–100. http://dx.doi.org/10.2113/gssgfbull.178.2.89.

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Abstract Surface displacement field of landslides is a key parameter to access to their geometries and mechanical properties. Surface displacements can be calculated using remote-sensing methods such as interferometry for radar data and image correlation for optical data. These methods have been elaborated this last decade and successfully applied on sensors (radar, cameras, terrestrial 3D laser scanner imaging) either attached to space or aerial platforms such as satellites, planes, and unmanned radio-controlled platforms (drones and helicopters) or settled at fixed positions emplaced in the

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Guo, Jian, Shuchen Wang, and Qizhi Xu. "Saliency Guided DNL-Yolo for Optical Remote Sensing Images for Off-Shore Ship Detection." Applied Sciences 12, no. 5 (2022): 2629. http://dx.doi.org/10.3390/app12052629.

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The complexity of changeable marine backgrounds makes ship detection from satellite remote sensing images a challenging task. The ubiquitous interference of cloud and fog led to missed detection and false-alarms when using imagery-based optical satellite remote sensing. An off-shore ship detection method with scene classification and a saliency-tuned YOLONet is proposed to solve this problem. First, the image blocks are classified into four categories by a density peak clustering algorithm (DPC) according to their grayscale histograms, i.e., cloudless areas, thin cloud areas, scattered clouds

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Gerbi, Gregory P., Emmanuel Boss, P. Jeremy Werdell, et al. "Validation of Ocean Color Remote Sensing Reflectance Using Autonomous Floats." Journal of Atmospheric and Oceanic Technology 33, no. 11 (2016): 2331–52. http://dx.doi.org/10.1175/jtech-d-16-0067.1.

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AbstractThe use of autonomous profiling floats for observational estimates of radiometric quantities in the ocean is explored, and the use of this platform for validation of satellite-based estimates of remote sensing reflectance in the ocean is examined. This effort includes comparing quantities estimated from float and satellite data at nominal wavelengths of 412, 443, 488, and 555 nm, and examining sources and magnitudes of uncertainty in the float estimates. This study had 65 occurrences of coincident high-quality observations from floats and MODIS Aqua and 15 occurrences of coincident hig

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Lynch, Heather J. "Satellite Remote Sensing for Wildlife Research in the Polar Regions." Marine Technology Society Journal 57, no. 3 (2023): 43–50. http://dx.doi.org/10.4031/mtsj.57.3.1.

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Abstract Wildlife research in the polar regions has historically been limited by the logistical constraints of site access, but recent developments in the use of satellite imagery for animal detection has unlocked new possibilities for pan-Arctic and pan-Antarctic monitoring of animal populations. A range of different sensor systems have been used for wildlife research, but most have focused on optical sensors that collect data in the visible spectrum and can be directly interpreted similar to a photograph. These include medium-resolution sensors like Landsat (30 m) and Sentinel-2 (10 m) and v

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Wang, Jingwen, Dayong Yang, Zhiwei Xie, et al. "Research Progress of Optical Satellite Remote Sensing Monitoring Asphalt Pavement Aging." Photogrammetric Engineering & Remote Sensing 90, no. 8 (2024): 471–82. http://dx.doi.org/10.14358/pers.23-00045r2.

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The aging condition of asphalt pavement is an invaluable basis for traffic infrastructure evaluation. Due to the amount of time and high cost of monitoring and identifying asphalt pavement aging, many current studies focus on satellite remote sensing methods. In this paper, some methods and technologies for monitoring asphalt pavement degradation by optical satellite remote sensing are introduced as a literature review. Many researchers have developed spectrum libraries based on the actual aging of asphalt pavements, and it is possible to construct pavement health indices based on spectrum cha

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Wang, Chao, and Ruifei Zhu. "Optical satellite image MTF compensation for remote-sensing data production." International Journal of Computer Applications in Technology 68, no. 2 (2022): 132. http://dx.doi.org/10.1504/ijcat.2022.123467.

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Wang, Chao, and Ruifei Zhu. "Optical satellite image MTF compensation for remote-sensing data production." International Journal of Computer Applications in Technology 68, no. 2 (2022): 132. http://dx.doi.org/10.1504/ijcat.2022.10048171.

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Qichang Wu, Hao Sun, Xian Sun, Daobing Zhang, Kun Fu, and Hongqi Wang. "Aircraft Recognition in High-Resolution Optical Satellite Remote Sensing Images." IEEE Geoscience and Remote Sensing Letters 12, no. 1 (2015): 112–16. http://dx.doi.org/10.1109/lgrs.2014.2328358.

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Walker, David, Magdalena Smigaj, and Nebo Jovanovic. "Ephemeral sand river flow detection using satellite optical remote sensing." Journal of Arid Environments 168 (September 2019): 17–25. http://dx.doi.org/10.1016/j.jaridenv.2019.05.006.

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Martínez-Vicente, Víctor, James R. Clark, Paolo Corradi, et al. "Measuring Marine Plastic Debris from Space: Initial Assessment of Observation Requirements." Remote Sensing 11, no. 20 (2019): 2443. http://dx.doi.org/10.3390/rs11202443.

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Sustained observations are required to determine the marine plastic debris mass balance and to support effective policy for planning remedial action. However, observations currently remain scarce at the global scale. A satellite remote sensing system could make a substantial contribution to tackling this problem. Here, we make initial steps towards the potential design of such a remote sensing system by: (1) identifying the properties of marine plastic debris amenable to remote sensing methods and (2) highlighting the oceanic processes relevant to scientific questions about marine plastic debr

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