Article
Environmental Sciences
Jianan Liu, Zongyu Yue, Kaichang Di, Sheng Gou, Yangting Lin
Summary: The lunar crater production function is crucial for surface dating and meteorite flux analysis. It is established by mapping primary craters in various geological units and normalizing size-frequency distributions. The widely used functions are based on century-old images, but can now be refined with high-resolution images. In this research, primary craters in 13 regions of the lunar surface were mapped using Lunar Reconnaissance Orbiter data, resulting in a new production function that improves accuracy in impact rate estimation.
Article
Geochemistry & Geophysics
Yiran Wang, Bo Wu, Haiou Xue, Xiaoming Li, Jun Ma
Summary: This study introduces a machine-learning approach for automatic crater detection and a method for extracting 3D morphometric information of craters. These approaches were applied to create a global crater dataset containing approximately 1.32 million craters with diameters of 1 km or larger, which were verified against previously published catalogs. This comprehensive crater catalog provides valuable data for various lunar scientific studies.
JOURNAL OF GEOPHYSICAL RESEARCH-PLANETS
(2021)
Article
Multidisciplinary Sciences
Antoine Labeyrie
Summary: The improved 'hypertelescope' version has been proposed for use on Earth, in space, and now on the Moon, allowing for direct high-resolution imaging with a high limiting magnitude. By utilizing many small mirrors arrayed in a lunar impact crater, a wide range of science targets can be studied, including near-Earth objects, exoplanets, neutron stars and black holes, and distant galaxies. Future larger versions, potentially spanning thousands of kilometers in space, could provide even higher resolution imaging capabilities for a variety of astronomical research purposes.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2021)
Article
Engineering, Multidisciplinary
Yier Zhou, Xiaolu Li, Baocheng Hua
Summary: This study proposes a three-dimensional data-based crater identification method to complete the craters by filling in the blind zone of LiDAR point cloud, improving detection accuracy and completion rate. The identification results of craters under different terrain conditions are evaluated by varying parameters related to terrain and the sensor. Simulation experiments show that the proposed method achieves a completion rate exceeding 84.18% and a detection probability of over 80.58% for crater identification.
Article
Energy & Fuels
Siyuan Chen, Yu Li, Tao Zhang, Xingyu Zhu, Shuyu Sun, Xin Gao
Summary: Researchers are actively looking for alternatives like Helium-3 on the Moon due to energy crisis and environmental impacts of fossil fuels. They developed a deep learning method to identify multiple lunar features simultaneously for potential energy source discovery, which showed effectiveness in comprehensive experiments on three datasets.
Article
Multidisciplinary Sciences
John A. Tarduno, Rory D. Cottrell, Kristin Lawrence, Richard K. Bono, Wentao Huang, Catherine L. Johnson, Eric G. Blackman, Aleksey Smirnov, Miki Nakajima, Clive R. Neal, Tinghong Zhou, Mauricio Ibanez-Mejia, Hirokuni Oda, Ben Crummins
Summary: Research indicates that the Moon did not possess a long-lived core dynamo, and was therefore not sheltered by a sustained paleomagnetosphere. This implies that the lunar regolith may contain buried He-3, water, and other volatile resources acquired from solar winds and Earth's magnetosphere over the past 4 billion years.
Article
Environmental Sciences
Wei Cao, Zhiyong Xiao, Fanglu Luo, Yizhen Ma, Rui Xu
Summary: Impact craters with layered ejecta deposits are common on Mars. The involvement of water and/or water ice is believed to be responsible for the formation of these ejecta. This study compares the roughness of these deposits with long-runout landslides and lobate debris aprons, in order to understand the emplacement mechanisms of layered ejecta deposits. The results suggest that the characteristics of the inner facies of the deposits and long-runout landslides are similar, while the outer facies are more similar to lobate debris aprons.
Article
Astronomy & Astrophysics
J. H. Fairweather, A. Lagain, K. Servis, G. K. Benedix, S. S. Kumar, P. A. Bland
Summary: Impact craters are the most common feature on the Moon's surface. A machine learning algorithm has been used to detect small impact craters with a 93% accuracy rate on high-resolution lunar images.
EARTH AND SPACE SCIENCE
(2022)
Article
Multidisciplinary Sciences
Giovanni Leone, Caitlin Ahrens, Jarmo Korteniemi, Daniele Gasparri, Akos Kereszturi, Alexey Martynov, Gene Walter Schmidt, Giuseppe Calabrese, Jari Joutsenvaara
Summary: Robotic and manned exploration of the Moon is the next target in Solar System exploration, given its availability of in situ resources and permanently sunlit areas. The southern polar crater Sverdrup-Henson is identified as a suitable area for a future base due to its abundant water ice, flat floor, accessibility, and nearby locations suitable for communications and solar power production.
Article
Geosciences, Multidisciplinary
Xi Yang, Wenzhe Fa, Jun Du, Minggang Xie, Tiantian Liu
Summary: The study explores the impact of topographic degradation on crater morphology and its influence on regolith thickness estimation using a shape model for small fresh craters and simulation results. A revised method is proposed and applied to Apollo landing sites for a more accurate regolith thickness estimate, contributing to a better understanding of lunar surface evolution.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Sudong Zang, Lingli Mu, Lina Xian, Wei Zhang
Summary: This paper introduces a new crater detection model, which achieves high accuracy by manually labeling a large amount of training data and utilizing the Two-Teachers Self-training with Noise method. The model can effectively extract crater information from DOM data, performing well in detecting small craters.
Article
Environmental Sciences
Imen Ben Salem, Manish Sharma, P. R. Kumaresan, A. Karthi, Fares M. Howari, Yousef Nazzal, Cijo M. Xavier
Summary: In this study, lunar floor-fractured craters (FFCs) were investigated using remote sensing data to explore their mineralogy, morphology and tectonic characteristics. The results revealed that the Posidonius crater belongs to the Class-III category of FFCs and the nearby volcanic activity has an impact on the crust.
Article
Environmental Sciences
Yuqing Mao, Rongao Yuan, Wei Li, Yijing Liu
Summary: In this study, we propose a dual-path convolutional neural network model based on a U-NET structure to effectively integrate feature information by complementary different types of lunar maps. The experimental results confirm that the feature complementarity can improve the detection performance and speed. Our model exhibits high robustness and potential in practical applications.
Article
Geosciences, Multidisciplinary
Jialong Lai, Yi Xu, Roberto Bugiolacchi, Hon Kuan Wong, Luyuan Xu, Xunyu Zhang, Ling Zhang, Xiaoping Zhang, Long Xiao, Bin Liu, Kaichang Di
Summary: The Lunar Penetrating Radar onboard Chang'e-4 (CE-4) rover (Yutu-2) has revealed the ancient paleo-surface of the lunar farside at a depth between 7 and 20 m, uncovering a possible 270 m sized buried crater associated with a larger circular depression on the lunar surface. This marks the first achievement for lunar radar sounding in identifying buried structures on the Moon.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Xiaoxue Ke, Chao Wang, Jinhuan Du, Yuting Yuan, Xiong Xu, Yongjiu Feng, Huan Xie, Shijie Liu, Xiaohua Tong
Summary: This study evaluates the impact of topography on the reflectance of the lunar south polar region using images obtained from the SELENE lunar orbiter. Three correction methods were applied and it was found that the b correction method is the most appropriate. The study highlights the significant contribution of topography on the reflectance of sunlit slopes and emphasizes the importance of considering compositional differences in specific regions.
Article
Environmental Sciences
S. Shanmuga Priyaa, V. S. Jeyakanthan, C. Heltin Genitha, S. Sanjeevi
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2018)
Article
Remote Sensing
S. Padma, S. Sanjeevi
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2014)
Article
Remote Sensing
T. Magendran, S. Sanjeevi
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2014)
Review
Remote Sensing
S. Shanmugam, P. SrinivasaPerumal
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2014)
Article
Environmental Sciences
Shanmuga Priyaa Sakthivel, Heltin C. Genitha, Jeyakanthan V. Sivalingam, Sanjeevi Shanmugam
JOURNAL OF APPLIED REMOTE SENSING
(2014)
Article
Environmental Sciences
Anto A. Micheal, K. Vani, S. Sanjeevi
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2014)
Article
Computer Science, Artificial Intelligence
Heltin Genitha Cyril Amala Dhason, Indhumathi Muthaia, Shanmuga Priyaa Sakthivel, Sanjeevi Shanmugam
IET IMAGE PROCESSING
(2020)
Article
Environmental Sciences
Heltin C. Genitha, M. Indhumathi, S. Sanjeevi
Summary: This study utilizes satellite image processing and remote sensing methods to estimate the water-spread area and capacity of a drinking water reservoir in Poondi, south India, demonstrating different algorithms and comparing error rates.
GEOCARTO INTERNATIONAL
(2021)
Article
Geosciences, Multidisciplinary
Padma SrinivasaPerumal, Sanjeevi Shanmugam, Pradeep Ganapathi
ARABIAN JOURNAL OF GEOSCIENCES
(2020)
Article
Water Resources
Aiswarya Rani Mahanta, Kishan Singh Rawat, Sudhir Kumar Singh, S. Sanjeevi, Anoop Kumar Mishra
Summary: The impact of rainfall and temperature on nitrate and electrical conductivity in groundwater was investigated in the Kancheepuram district of Tamil Nadu, India. Climate parameters were found to act as co-factors for the concentration of agrichemicals in groundwater. Some areas showed an increasing trend in nitrate loading and electrical conductivity, attributed to changes in land use and anthropogenic activities.
APPLIED WATER SCIENCE
(2022)
Article
Environmental Sciences
A. Ancy Micheal, K. Vani, S. Sanjeevi, Chao-Hung Lin
Summary: This paper proposes a novel methodology for object detection and tracking from UAV data, utilizing a deeply supervised object detector entirely trained on UAV images. The methodology outperforms pre-trained-based models and improves tracking accuracy by using Long-Short-Term Memory (LSTM) for tracking the detected object.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2021)
Proceedings Paper
Remote Sensing
S. Shanmuga Priyaa, S. Sanjeevi
MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL REMOTE SENSING TECHNOLOGY, TECHNIQUES AND APPLICATIONS V
(2014)
Proceedings Paper
Remote Sensing
T. Magendran, S. Sanjeevi
MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL REMOTE SENSING TECHNOLOGY, TECHNIQUES AND APPLICATIONS V
(2014)
Proceedings Paper
Remote Sensing
S. Padma, S. Sanjeevi
MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL REMOTE SENSING TECHNOLOGY, TECHNIQUES AND APPLICATIONS V
(2014)
Proceedings Paper
Geosciences, Multidisciplinary
L. Ashokkumar, S. Shanmugam
REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY XVI
(2014)