Location Map Research Articles

Using Remote Sensing Data and Graph Theory to Identify Polycentric Urban Structure

Polycentric urban structures determine the combination and correlation of urban resources. In the past, nighttime light data were often used to identify the center locations, but the borders of polycentric urban regions (PURs) could not be obtained. Using multisource remote sensing data and graph, this research proposes an effective method for polycentric structure identification. First, we regard nighttime light data as a continuous mathematical surface, which can be constructed as nighttime light intensity graphs (NLIGs). Then, the space-optimized Girvan–Newman (SGN) method is proposed to detect the communities, and the eigenvector centrality (EC) and gray value are used to discover the central node of each community. Finally, the geographical location mapping (GLM) between Landsat 8 data segmentation objects and nodes is established, and the PURs and centers can be mapped to the communities and central nodes. This study took Shenyang, Chengdu, and Xi’an as study areas and used monthly Visible Infrared Imaging Radiometer-National Polar-orbiting Partnership (NPP-VIIRS) data in April 2019 and Landsat 8 data in January and August 2019. The average accuracies of PURs and centers identified by the proposed method were 86.24% and 72.5%, respectively. The developed method can provide technical support and data support for urban planning.

Placement Location Mapping for Nature-based Solutions in Flood Vulnerable Areas as a Disaster Management Alternative in Bantul Regency

The purpose of this study is to determine potential locations around flood-vulnerable areas for developing the concept of Nature-based Solutions (NbS) in Bantul Regency-Yogyakarta, Indonesia. The data utilized includes rainfall, slope, elevation, land use, soil type, landform, distance from the river, actual flood data, and historical flood data. This data was obtained from the Climate Hazards Group InfraRed Precipitation with Station, National Digital Elevation Model, Bantul Regional Development Planning Agency, and Bantul Regional Disaster Management Agency. The data were overlaid between the flood vulnerability maps processed using the Spatial Multi-Criteria Analysis method and Hydromorphological Landscape Unit Floodplain maps. Results of data processing and analysis for floodplain-based NbS indicate several locations for the implementation of NbS in the pilot project area, particularly at the confluence of the Opak and Oyo rivers. In the intersection of the Opak and Oyo River, various NbS types can be identified and applied. The suggested NbS includes porous pavements, riparian zones, detention basins, and inland wetlands. The placement of the four NbS is based on environmental conditions and the characteristics of each NbS object to prevent flooding.

Study to evaluate the effect of terrain surface on performance of a wind farm in Ninh Thuan province, Vietnam

Topography is one of the important factors directly related to the distribution of wind resources, so it plays an important role in determining the layout and operation efficiency of wind power farms. In this research, we use a combination of Computational Fluid Dynamics (CFD) method and Geographic Information Systems (GIS) data to determine suitable locations for building wind turbines in complex terrain conditions. The selected region to build the analytical model is an area with many hills and mountains adjacent to the East Sea, in Thuan Nam and Ninh Phuoc districts, Ninh Thuan province. The first part, this article will provides a general method for determining the best locations for installation of wind turbines according to specific terrain conditions. Then, apply this method to build accurate 3D models for the area, the models are meshed by hexagonal elements combined with tetrahedron elements with side lengths of 200m. The results obtained from the models are the distributions of wind speed by altitude at specific locations such as mountain peaks, mountain slopes, valleys of the area pointed out. Based on these results, the locations with high and stable wind speed, suitable for wind turbine operation are suggested. In addition, the article also presents some locations where wind with high turbulence or eddy winds may appear, which may adversely affect turbine performance. Finally, the paper gives an optimal location map for a wind farm with a capacity of less than 100MW using a turbine with a 4MW capacity.

Detecting Locally, Patching Globally: An End-to-End Framework for High Speed and Accurate Detection of Fingerprint Minutiae

Billions of fingerprint images are acquired and matched to protect the national borders and in a range of egovernance applications. Fast and accurate minutiae detection from fingerprint images is the key to advance fingerprint matching algorithms for large-scale applications. However, currently available fingerprint minutiae extraction methods are not accurate and fast enough to support such large-scale applications. This paper proposes a new method that uses a lightweight pixelwise local dilated neural network to extract local features and a patch-wise global neural network to recover the global features. It consolidates the local and global fingerprint features to generate a full-size minutiae location map, and then accurately localizes the minutiae positions by using a recursive connected components algorithm. We design a new loss function to accurately detect minutia orientation and incorporate a dynamic end-to-end loss to provide effective supervision in learning discriminant features. It is due to the proposed design and loss function that can enable higher accuracy with significantly less computations. We present reproducible experimental results from five publicly available contact-based and contactless databases that indicate significant improvement in the minutiae detection accuracy, which also leads to enhanced fingerprint matching accuracy. Since the minutiae represent key points in the fingerprint images, the proposed end-to-end minutiae detection method also has a potential to be employed in many other key points detection tasks.

Time-dependent cracking and brittle creep in macrofractured sandstone

Time-dependent cracking and brittle creep of rock is fundamental to understanding the long-term evolution and dynamic failure in underground rock engineering. In the present paper, we present a systematic laboratory investigation into the control of single open macrofractures of differing orientations on time-dependent cracking and brittle creep in sandstone using digital image correlation (DIC). For a given macrofracture inclination angle β, we find that the failure of macrofractured sandstone under a constant stress is accompanied by the generation of more tensile fractures (wing cracks and secondary cracks) than in our constant strain rate experiments. This result differs from experiments performed on intact sandstones, for which macroscopic failure under a constant stress and constant strain rate were essentially identical. The nucleation site for the wing cracks is β-dependent. As β is increased, the crack nucleation position gradually moves from the center of the fracture towards the fracture tip with a decreasing speed. The kink angle of the secondary crack (k1) increases quasi-linearly with the increase of fracture angle γ. With the increase of the secondary crack angle θ, the kink angle of the tail crack (k2) shows different increasing trends for the left-lateral and right-lateral shear. The secondary crack could be inclined at a maximum of 26° (θ) to the maximum principal stress direction. Creep bursts—transient accelerations in deformation—are more easily triggered in macrofractured rock than in initially intact rock, and coincide in time with the coalescence of secondary cracks. The likelihood of occurrence of a creep burst was found to be higher for lower values of β. Finally, we present a secondary crack location map that defines the swing interval and identifies the fracture mechanism. The influence of a macrofracture, and its orientation, on damage evolution and the likelihood of creep bursts during interseismic periods provides crucial information for those tasked with monitoring hazards associated with the dynamic failure of crustal rocks.

Analisis Usahatani Padi di Selogiri Wonogiri

Farming activities are a source of farmers' income and are expected to be profitable or provide maximum profits to implement business sustainability. The aim research was to analyze the profitability and factors that influence the income of rice farming in Selogiri. The study was conducted from January – March 2022. The research location was in Selogiri District, Wonogiri Regency, which was chosen purposively because it has the highest rice area in Wonogiri Regency. Survey methods were used in the research, with 96 farmers selected as respondents. The types of data used were primary and secondary. Preliminary data were taken from interviews with farmers in Selogiri District consisting of production costs, investment, and respondent data. Secondary data were of BPS data, journals, and literacy taken from the internet, including the research location's general condition, population data, maps, and bank deposit interest rates. Data were analyzed by analyzing profitability and multiple linear regression analysis. They showed that farming is profitable, with a profitability value of 77.86% and a BRI bank interest rate of 2.3%. Prices of seeds, fertilizers, pesticide labor wages, irrigation prices, and land rents simultaneously affect income. In contrast, fertilizer prices, labor wages, and irrigation prices partially affect income.

An Algorithm to Detect Endangered Cultural Heritage by Agricultural Expansion in Drylands at a Global Scale

This article presents AgriExp, a remote-based workflow for the rapid mapping and monitoring of archaeological and cultural heritage locations endangered by new agricultural expansion and encroachment. Our approach is powered by the cloud-computing data cataloguing and processing capabilities of Google Earth Engine and it uses all the available scenes from the Sentinel-2 image collection to map index-based multi-aggregate yearly vegetation changes. A user-defined index threshold maps the first per-pixel occurrence of an abrupt vegetation change and returns an updated and classified multi-temporal image aggregate in almost-real-time. The algorithm requires an input vector table such as data gazetteers or heritage inventories, and it performs buffer zonal statistics for each site to return a series of spatial indicators of potential site disturbance. It also returns time series charts for the evaluation and validation of the local to regional vegetation trends and the seasonal phenology. Additionally, we used multi-temporal MODIS, Sentinel-2 and high-resolution Planet imagery for further photo-interpretation of critically endangered sites. AgriExp was first tested in the arid region of the Cholistan Desert in eastern Pakistan. Here, hundreds of archaeological mound surfaces are threatened by the accelerated transformation of barren lands into new irrigated agricultural lands. We have provided the algorithm code with the article to ensure that AgriExp can be exported and implemented with little computational cost by academics and heritage practitioners alike to monitor critically endangered archaeological and cultural landscapes elsewhere.

Analysis of the Effectiveness of Traffic Flow Diversion on Road Performance: A Case of Jalan Gajah Mada Development Project, Batam

Indonesia is a country that is included in the top 5 rankings as the country with the most Population, with a population of 276 million people. Jalan Gajah Mada is one arterial road in Sekupang District, Batam City. Jalan Gajah Mada is often used to going to work and school. This has caused Jalan Gajah Mada to become one of the congestion points in Batam. This study aims to determine the effect of diverting cross-traffic flow on road performance during peak hours, namely morning or evening. The method used in this study is quantitative. The data used in this study consisted of primary data and secondary data. The primary data includes location conditions, road dimensions, number of vehicles, and vehicle speed. At the same time, the secondary data needed are the location map, data population, and land use. The location of the selected road performance analysis study. From the survey results, it can be concluded that Jalan Gajah Mada has a relatively good level of road service. The vehicle speed at the diversion of traffic flow is 48.78 Km/h, and the speed before the diversion of traffic flow is 26.16 Km/h.

EVALUATION OF DRAINAGE CHANNEL CAPACITY ON JALAN BUDI KARYA, PONTIANAK SELATAN SUB-DISTRICT

Drainage is one of the most critical components to be maintained and developed in a strategically healthy and comfortable urban environment. There are often puddles of water on Budi Karya Street, especially at the Permai Reservoir Complex. In solving the existing inundation problem, primary and secondary data are needed. Primary data is in the form of longitudinal and transverse sections of the channel, while secondary data is in the form of location maps, tidal data, and rainfall data used to analyze hydrology. Based on the analysis of the capacity of Budi Karya's drainage channel using HEC -RAS software as a drainage channel flow modeling tool to view the water level profile along the channel, channel perspective drawing, or hydrograph, it was found that the Budi Karya drainage channel could not accommodate the planned discharge for return periods 2 and 5 Year. Therefore, it is necessary to improve drainage in the form of the normalization of drainage channels.

EVALUATION OF DRAINAGE CHANNEL CAPACITY ON JALAN BUDI KARYA, PONTIANAK SELATAN SUB-DISTRICT

Drainage is one of the most critical components to be maintained and developed in a strategically healthy and comfortable urban environment. There are often puddles of water on Budi Karya Street, especially at the Permai Reservoir Complex. In solving the existing inundation problem, primary and secondary data are needed. Primary data is in the form of longitudinal and transverse sections of the channel, while secondary data is in the form of location maps, tidal data, and rainfall data used to analyze hydrology. Based on the analysis of the capacity of Budi Karya's drainage channel using HEC -RAS software as a drainage channel flow modeling tool to view the water level profile along the channel, channel perspective drawing, or hydrograph, it was found that the Budi Karya drainage channel could not accommodate the planned discharge for return periods 2 and 5 Year. Therefore, it is necessary to improve drainage in the form of the normalization of drainage channels.

Place cells are nonrandomly clustered by field location in CA1 hippocampus.

A challenge in both modern and historic neuroscience has been achieving an understanding of neuron circuits, and determining the computational and organizational principles that underlie these circuits. Deeper understanding of the organization of brain circuits and cell types, including in the hippocampus, is required for advances in behavioral and cognitive neuroscience, as well as for understanding principles governing brain development and evolution. In this manuscript, we pioneer a new method to analyze the spatial clustering of active neurons in the hippocampus. We use calcium imaging and a rewarded navigation task to record from 100 s of place cells in the CA1 of freely moving rats. We then use statistical techniques developed for and in widespread use in geographic mapping studies, global Moran's I, and local Moran's I to demonstrate that cells that code for similar spatial locations tend to form small spatial clusters. We present evidence that this clustering is not the result of artifacts from calcium imaging, and show that these clusters are primarily formed by cells that have place fields around previously rewarded locations. We go on to show that, although cells with similar place fields tend to form clusters, there is no obvious topographic mapping of environmental location onto the hippocampus, such as seen in the visual cortex. Insights into hippocampal organization, as in this study, can elucidate mechanisms underlying motivational behaviors, spatial navigation, and memory formation.

Implementing a simulation-based curriculum for hybrid intracavitary/interstitial brachytherapy using a new, commercially available, US/MR/CT-compatible gynecologic phantom

To establish a simulation-based workshop for teaching hybrid intracavitary/interstitial (IC/IS) brachytherapy skills using a new, commercially available US/CT/MRI-compatible gynecologic phantom prototype. The VIOMERSE gynecological trainer phantom consisted of tissue-like colloid material and was US, CT, and MRI-compatible. We designed a hands-on workshop incorporating the phantom prototype to teach skills for hybrid IC/IS brachytherapy including pre-implant planning, procedural steps of implant placement, and post-implant evaluation. The workshop impact was evaluated with pre- and post-workshop surveys and responses were analyzed with Wilcoxon matched-pairs signed-rank test. Thirteen residents, divided into small groups, attended one of three separate 1-h workshop sessions held during the gynecologic education block. Workshop steps included IC applicator placement, tumor mapping and pre-planning desired location and depth of needles for hybrid IC/IS application, IS needle labelling and insertion, image review of needle placements, comparison of IC-alone versus IC/IS brachytherapy plans. Responses to questions ascertaining knowledge, confidence, and ability in planning and executing hybrid IC/IS procedures all demonstrated significant improvement from pre- to post-workshop. In response to whether the session was an effective learning experience, all residents rated the workshop with a score of 9 (n = 1) or 10 (n = 12) out of 10, with a score of 10 indicating "strongly agree." Implementation of a hybrid IC/IS brachytherapy workshop utilizing a new, commercially-available phantom prototype was successful, with clear, subjective benefit for the residents in our program. This experience may inform continued efforts towards standardizing brachytherapy curricula across programs and increasing trainee exposure to interstitial procedures.

Local Waste Management as an Effort Increasing the Productivity of Fine Art Works

This research wants to examine how the management of the creation of works of art made from organic waste (wood and marine biota) in Jaring Halus Village, North Sumatra. The method used in this study was the method of creation with an experimental model by utilizing waste as a model for creating works of art. The research was conducted in Jaring Halus Village, Langkat, North Sumatra. The stages in this research begin with identifying internal and external potentials. The internal potential is the location and organic waste such as waste wood and marine biota and the like. Furthermore, the external potential was the community's ability to explore the aesthetic power of waste to become an expression of works of art; in this case, presentations and design workshops are held through design simulations and references. The next step was selecting the quality of the waste wood, which includes elements of shape, structure, texture, and size. Based on the results of the research conducted, it can be concluded that some of the research findings are as follows: 1) the steps taken include: Planning, Mapping of waste locations, Mapping types of waste in categories, Understanding design as a material for creating works of art, Process of assembling forms works of art, the process of refining, the Process of presenting works of art. 2). In managing the creation of works of art by utilizing organic waste (wood and marine biota), we have produced several new prototypes of works of art made from organic waste. 3) Using creative methods based on adaptive and connotative patterns greatly encourages the creation of more significant and productive works of art.

Tick maps on the virtual globe: First results using the example of Dermacentor reticulatus

Digital maps, particularly displayed on virtual globes, will represent the most important source of geographical knowledge in the future. The best known of these virtual globes is Google Earth, whose use in teaching at schools and universities is now common practice. As the first result of a series of forthcoming digital tick maps, the worldwide distribution of the marsh tick Dermacentor reticulatus is shown on Google Earth. For this purpose, various distribution maps of D. reticulatus were compiled, including digitized expert maps and a map of suitable habitats compiled with a species distribution model (SDM). A random forest model that estimates suitable habitats by combining information from tick observations, bioclimatic variables, altitude, and land cover was chosen for the latter. In the Google Earth application, the following maps can be selected: a historical expert map, a current expert map, a SDM predicted habitat suitability map, a combined expert-habitat suitability map (considered to be the best representation of the current distribution of D. reticulatus), and a map of rasterized tick locations. Users can overlay these maps according to their own requirements or combine it with other Google Earth content. For example, a comparison of the historical with the current expert map shows the spread of D. reticulatus over the past few decades. Additionally, high-resolution city maps of Bilbao (Spain), Grenoble (France), Berlin (Germany), Wrocław (Poland), Budapest (Hungary), Bucharest (Romania), and Tomsk (Russia) demonstrate the urban distribution of D. reticulatus in public parks, fallow land, and recreational areas. The Google Earth application, developed using the Keyhole Markup Language (KML), also contains fact sheets on biology, ecology, seasonal activity, and vector competence of D. reticulatus. This information has been prepared in a compact and easily understandable way for the target group, i.e. scientists from various disciplines, students, and lay people interested in the geographical distribution of ticks.

Perception, Path Planning, and Flight Control for a Drone-Enabled Autonomous Pollination System

The decline of natural pollinators necessitates the development of novel pollination technologies. In this work, we propose a drone-enabled autonomous pollination system (APS) that consists of five primary modules: environment sensing, flower perception, path planning, flight control, and pollination mechanisms. These modules are highly dependent upon each other, with each module relying on inputs from the other modules. In this paper, we focus on approaches to the flower perception, path planning, and flight control modules. First, we briefly introduce a flower perception method from our previous work to create a map of flower locations. With a map of flowers, APS path planning is defined as a variant of the Travelling Salesman Problem (TSP). Two path planning approaches are compared based on mixed-integer programming (MIP) and genetic algorithms (GA), respectively. The GA approach is chosen as the superior approach due to the vast computational savings with negligible loss of optimality. To accurately follow the generated path for pollination, we develop a convex optimization approach to the quadrotor flight control problem (QFCP). This approach solves two convex problems. The first problem is a convexified three degree-of-freedom QFCP. The solution to this problem is used as an initial guess to the second convex problem, which is a linearized six degree-of-freedom QFCP. It is found that changing the objective of the second convex problem to minimize the deviation from the initial guess provides improved physical feasibility and solutions similar to a general-purpose optimizer. The path planning and flight control approaches are then tested within a model predictive control (MPC) framework where significant computational savings and embedded adjustments to uncertainty are observed. Coupling the two modules together provides a simple demonstration of how the entire APS will operate in practice.

Sense of Place

Starting from the observation that anthropogenic climate change manifests differently across geographical locations, this article argues that it is critical to examine the spatial representation of climate change in books for young readers. Such an examination necessarily navigates the global reach of climate change and the localised experiences of climate change around the world. We use a mixed method of close and distant reading to facilitate this navigation to study a corpus of climate change books for young readers that includes books written in and books translated into Dutch. We first zoom out, by creating maps of the geographic locations that are evoked in both sets of works. Then we zoom in, using a critical analysis of those areas that are indicated as significant by our visualisations. By mapping the geographical representation of climate change in works written in and translated into Dutch, we can better understand how the spatiality of climate change is presented to young readers and how these readers are encouraged to position themselves and others in this global crisis.

Characteristics of the Stone Age of Crimea in the Creative Heritage of A.S. Moiseev.

The purpose of the article is to characterize the contribution of the Russian scientist Alexander Silovich Moiseev to the archaeological study of the Stone Age of the Mountainous Crimea. To achieve the goal, the following tasks were envisaged: the selection of articles on the primitive archeology of the Crimea from the entire array of scientific publications of the scientist, their subsequent historiographical analysis and generalization. The research methodology was based on the complex application of scientific principles: historicism, objectivity, comparative historical approach, retrospection. The problem field of the research included the following components: establishing continuity in the history of the study of the Stone Age of the Crimean peninsula, formulating priority problems of the primitive archeology of the region in the works of the scientist. The source base for the study was the published articles by A.S. Moiseev on the history of the Stone Age of the Mountainous Crimea. In the course of the conducted research, it was found that during the short-lived but important expeditions of A.S. Moiseev as director of the Natural History Museum in Yalta, the source base was gradually formed in the articles of the scientist and the program of future studies of the ancient history of the peninsula was concretized. A.S. Moiseev put the study of the Stone Age of the Crimea to a qualitatively new level. In particular, he actualized the need to search and excavate primitive monuments with careful fixation of all finds in plan and section, justified the expediency of joint stationary excavations of several well-known archaeological sites with systematic searches in new, not yet explored areas. In addition, the author's innovations are the transition from the simple collection of flints and tools to their systematization and typology, the formation of ordered collections; the creation of a complete archaeological map of primitive sites and locations of the peninsula with their detailed stratigraphy, as well as the strengthening of scientific ties between representatives of regional and academic science in the study of Paleolithic, Mesolithic and Neolithic monuments of the Crimea.

Degenerate mapping of environmental location presages deficits in object-location encoding and memory in the 5xFAD mouse model for Alzheimer's disease

A key challenge in developing diagnosis and treatments for Alzheimer's disease (AD) is to detect abnormal network activity at as early a stage as possible. To date, behavioral and neurophysiological investigations in AD model mice have yet to conduct a longitudinal assessment of cellular pathology, memory deficits, and neurophysiological correlates of neuronal activity. We therefore examined the temporal relationships between pathology, neuronal activities and spatial representation of environments, as well as object location memory deficits across multiple stages of development in the 5xFAD mice model and compared these results to those observed in wild-type mice. We performed longitudinal in vivo calcium imaging with miniscope on hippocampal CA1 neurons in behaving mice. We find that 5xFAD mice show amyloid plaque accumulation, depressed neuronal calcium activity during immobile states, and degenerate and unreliable hippocampal neuron spatial tuning to environmental location at early stages by 4 months of age while their object location memory (OLM) is comparable to WT mice. By 8 months of age, 5xFAD mice show deficits of OLM, which are accompanied by progressive degradation of spatial encoding and, eventually, impaired CA1 neural tuning to object-location pairings. Furthermore, depressed neuronal activity and unreliable spatial encoding at early stage are correlated with impaired performance in OLM at 8-month-old. Our results indicate the close connection between impaired hippocampal tuning to object-location and the presence of OLM deficits. The results also highlight that depressed baseline firing rates in hippocampal neurons during immobile states and unreliable spatial representation precede object memory deficits and predict memory deficits at older age, suggesting potential early opportunities for AD detecting.

Tren pemberitaan sonokeling dalam portal berita daring di Indonesia

Introduction. It has never been a study on the news trend of rosewood in Indonesia. This study aimed to determine the trend of rosewood news in online news portals and to create a distribution map of rosewood planting locations in Indonesia.
 Data Collection Method. Data were obtained by collecting online news related to rosewood from 2016‒2022. Data were compiled and analyzed descriptively. A distribution map of rosewood was made and superimposed with data from Global Biodiversity Information Facility.
 Results and Discussions. The number of rosewood news in Indonesia on online news portals increased from 2016‒2022. The most topic of the news is criminal (illegal logging and distribution of woods), followed by the topic of economic (woods potential use), disasters (trees fallen), social (tree-planting movements), and political (wood distribution regulation), respectively. In Indonesia, rosewood was planted in Jambi, Lampung, West Java, Central Java, DI Yogyakarta, East Java, Bali, West Nusa Tenggara, and East Nusa Tenggara, which correspond to the areas of rosewood cultivation and distribution in Indonesia.
 Conclusions. The number of rosewood news in Indonesia on online news portals increased from 2016‒2022, dominated by criminal topics. In Indonesia, rosewood was planted in southern Sumatra, Java, Bali, and Nusa Tenggara.

EST-SSR development and genetic diversity in the medicinal plant Pseudostellaria heterophylla (Miq.) Pax

Pseudostellaria heterophylla is a perennial herb plant with high medicinal value. Germplasm development and improvement play a crucial role in the modern pseudostellaria industry. In present study, we genotyped 10 representative cultivars and 102 F1 hybrid individuals with developed markers in China, aiming at (1) screening a set of markers for correctly identifying P. heterophylla cultivars and F1 hybrid individuals, and (2) confirming the genetic diversity and parent-offspring (PO) relationships among them. The results showed that 360 EST-SSR markers were developed using transcriptome library. Based on genotyping data of 10 representative cultivars, 20 of them showed high fingerprinting power and genetic diversity with mean observed heterozygosity (Ho), Shannon's Information Index (I), PI and PIsibs value of 0.330, 0.560, 0.505 and 0.704, respectively. A combination of 20 markers could further reduce the value. of PI and PIsibs to 3.2 × 10−7 and 6.7 × 10−4, respectively. Furtherly, above 20 EST-SSR were recommended as a set marker for analyzing the genetic diversity and parentage of 102 F1 hybrid individuals. The results showed that the markers are highly polymorphic among the F1 individuals with an average Shannon's Information Index of 0.642. It was possible to discriminate 100 test samples by a combination of twenty markers, and the overall possibility of finding two random individuals having the same genotypes across the 20 loci was estimated to be 2.0 × 10−8. Meanwhile, parentage analysis based on the genotyping data confirmed 63 pairs of putative PO relationships, whereas the other 13 were identified as pseudo-hybrids relationships. Overall, this study will provide 20 credible EST-SSR marker and 102 hybrid materials for further germplasm conservation, genetic improvement, genetic mapping and functional gene location.