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Deformation analysis of prefabricated structures in the shaking table test based on density point clouds J. Spat. Sci. (IF 1.9) Pub Date : 2024-03-15 Yanping Liu, Dongfeng Jia, Lishuo Zhang
In this paper, a point cloud extraction method based on the template grid was proposed for deformation analysis. Firstly, coordinate alignment was carried out by a coarse-to-fine strategy to ensure...
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A cold-start recommendation method for We-map considering co-occurrence collaborative signals and contrastive learning J. Spat. Sci. (IF 1.9) Pub Date : 2024-03-15 Wenjun Ma, Haowen Yan, Jingzhong Li, Xiaolong Wang, Zhuo Wang, Qili Yang, Xuan Fu
We-maps, augmenting traditional maps, confront cold-start problems with prevailing recommendation techniques. The Contrastive Collaborative Filtering (CCF) model tackles We-map's cold-start issues ...
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Coupling video vision transformer (ViVit) into land change simulation: a comparison with three-dimensional convolutional neural network (3DCNN) J. Spat. Sci. (IF 1.9) Pub Date : 2024-02-26 Haiyang Li, Liang Fan, Yifan Gao, Zhao Liu, Peichao Gao
To enhance land use/cover change (LUCC) simulation accuracy, we introduced ViViT-ANN-CA, blending video vision transformer’s spatio-temporal features extraction ability, artificial neural network‘s...
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Towards perfecting road extraction: the fusion of dilated convolution-based layers and vision transformer J. Spat. Sci. (IF 1.9) Pub Date : 2024-02-26 K. Madhan Kumar, A. Velayudham
This study addresses challenges in road extraction from remote sensing imagery by introducing a novel approach leveraging Dilated Convolution-based layers and Vision Transformer (ViT). ViT extracts...
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Building rooftop extraction from aerial imagery using low complexity UNet variant models J. Spat. Sci. (IF 1.9) Pub Date : 2024-02-06 Avudaiammal Ramalingam, Vandita Srivastava, Sam V George, Swarnalatha Alagala, Martin Leo Manickam
Retrieved rooftops from satellite images have enormous applications. The diversity and complexity of the building structures is challenging. This work proposes to extract building rooftops using tw...
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Contextual band addition and multi-look inferencing to improve semantic segmentation model performance on satellite images J. Spat. Sci. (IF 1.9) Pub Date : 2024-02-05 Syed Roshaan Ali Shah, Obaid-Ur- Rehman, Yasir Shabbir, Rana AhmadFaraz Ishaq
In this study, we introduce two spatial approaches to enhance semantic segmentation accuracy in remote sensing imagery in resource-constrained computational environments, with a focus on edge regio...
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Effective hyperspectral image classification based on segmented PCA and 3D-2D CNN leveraging multibranch feature fusion J. Spat. Sci. (IF 1.9) Pub Date : 2024-01-30 Masud Ibn Afjal, Md. Nazrul Islam Mondal, Md. Al Mamun
We present an innovative hyperspectral image (HSI) classification method addressing challenges posed by closely spaced wavelength bands. Our approach combines 3D-2D convolutional neural networks (C...
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Score-ranking smooth average precision loss for remote sensing image retrieval J. Spat. Sci. (IF 1.9) Pub Date : 2024-01-18 Yun Ge, Qiyang Liu, Gang Wu, Sijia Wang, Famao Ye
In remote sensing image retrieval task, deep metric learning loss is an effective method for learning semantic similarity relationships between images. However, most deep metric learning losses tre...
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Editorial J. Spat. Sci. (IF 1.9) Pub Date : 2023-12-19 Yong Chien Zheng
Published in Journal of Spatial Science (Vol. 68, No. 4, 2023)
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Author Awards 2023 J. Spat. Sci. (IF 1.9) Pub Date : 2023-12-19
Published in Journal of Spatial Science (Vol. 68, No. 4, 2023)
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Uncertainty based regional-decision fusion of multispectral and nDSM for ultra-high resolution UAV imagery J. Spat. Sci. (IF 1.9) Pub Date : 2023-12-14 Ashish Soni, Radhakanta Koner, Vasant Govind Kumar Villuri
The recent advancement in the pattern recognition technique has demonstrated the superiority of remote sensing technology. Deep neural networks use spatial feature representations such as convoluti...
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Estimation of natural vegetation phenology metrics using time series EVI over Jharkhand state, India J. Spat. Sci. (IF 1.9) Pub Date : 2023-12-07 Niraj Priyadarshi, Suparn Pathak, Debasish Chakraborty, Vemuri Muthayya Chowdary, Sushil Kumar Srivastav, Chandrasekar Kamalakannan, Jeganathan Chockalingam, Soumya Bandyopadhyay
This study used 18 years (2001–2018) of Moderate Resolution Imaging Spectroradiometer-based Enhanced Vegetation Index products over Jharkhand state to extract phenology metrics based on Ha...
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BIM-based connectivity graph and voxels classification for pedestrian-hazard interaction J. Spat. Sci. (IF 1.9) Pub Date : 2023-11-21 Mitko Aleksandrov, Sisi Zlatanova, David J. Heslop, Abdoulaye Diakite
This paper concentrates on establishing a connectivity graph between building entities to model hazard flow and the interaction between pedestrians and hazards. Although three different ways are ex...
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A Gaussian filter-based window for efficient SAR image matching J. Spat. Sci. (IF 1.9) Pub Date : 2023-11-21 Sourabh Paul, Pavitra Y., Rehana S., Vineesha D.
Repeatability of the extracted features and the distinctiveness of the descriptors have been the critical factors in synthetic aperture radar (SAR) image matching. These factors are significantly a...
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An expanded dual quaternion algorithm for 3D Helmert transformation and determination of the VCV matrix of the transformation’s parameters J. Spat. Sci. (IF 1.9) Pub Date : 2023-11-21 Sebahattin Bektas
3D coordinate transformation is a problem frequently encountered in many different fields, for example, computer graphics, robotics, aeronautics and computer vision, in addition, in surveying, datu...
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Event pattern analysis: the point density around the appearance and disappearance of points J. Spat. Sci. (IF 1.9) Pub Date : 2023-11-21 Yukio Sadahiro
Point pattern analysis is a fundamental analytical tool in various academic fields related to spatial information science. Basic but important patterns discussed in existing studies are spatially c...
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Salt Land classification based on pansharpening images using Random Forest algorithm J. Spat. Sci. (IF 1.9) Pub Date : 2023-10-19 Diastarini Diastarini, Riantini Virtriana, Agung Budi Harto
The analysis and policymaking of national salt production require quality Salt Land maps with more detailed object information. This study successfully classified Salt Land into Active and Inactive...
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GWPCA-based spatial analysis of urban vitality: a comparative assessment of three high-altitude Himalayan towns in India J. Spat. Sci. (IF 1.9) Pub Date : 2023-10-18 Subham Roy, Suranjan Majumder, Arghadeep Bose, Indrajit Roy Chowdhury
Urban vitality comprises the livingness, vibrancy and attractiveness of urban areas. This research analyzes urban vitality in three Himalayan towns in India: Darjeeling, Kalimpong, and Kurseong. Us...
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Semi physical and machine learning approach for yield estimation of pearl millet crop using SAR and optical data products J. Spat. Sci. (IF 1.9) Pub Date : 2023-09-22 Arvindd Kshetrimayum, Akash Goyal, Ramesh H, B. K Bhadra
Pearl millet (Pennisetum glaucum L.R.Br.), is the most widely cultivated food crop after rice, wheat, and maize. The aim of the project is to determine the crop acreage of Pearl millet (Bajra) usin...
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Spatiotemporal analysis of Urban Heat Island and land use land cover changes using Landsat images and CA-ANN machine learning techniques: a case study of Dakahlia government, Egypt J. Spat. Sci. (IF 1.9) Pub Date : 2023-09-19 Sara Sameh, Fawzi H. Zarzoura, Mahmoud El-Mewafi
This study explores the relationship between Land Use Land Cover (LULC), Land Surface Temperature (LST), and Urban Heat Island (UHI) in Dakahlia Government using Landsat 8 images from 2014 to 2020....
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Comparison of pressure, temperature and specific humidity from COSMIC-2 with radiosonde and ERA5 J. Spat. Sci. (IF 1.9) Pub Date : 2023-09-19 Chunhua Jiang, Xiang Gao, Shuaimin Wang, Qianfang An, Meizhen Zhu
Pressure, temperature and specific humidity profiles from COSMIC-2 are compared with those from ERA5 and radiosonde data from October 2019 to September 2020. The results demonstrate that COSMIC-2 p...
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Maximizing grid-on-grid transformation performance with regularized regression techniques for integrating multi-source geospatial data J. Spat. Sci. (IF 1.9) Pub Date : 2023-09-19 Maan Habib, Ahmed Thneibat, Ali Farghal
Three-dimensional coordinate transformations are required to harmonise different types of geospatial data accurately. Developing a mathematical model for data fusion relies on ground control points...
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BDS-3 phase bias products of new frequency B1C&B2a: ambiguity resolution and positioning accuracy evaluation J. Spat. Sci. (IF 1.9) Pub Date : 2023-09-12 Yuqing Liu, Hu Wang, Yamin Dang, Yangfei Hou, Yingying Ren, Yafeng Wang
ABSTRACT With the increase of BDS-3 in-orbit time, the number of the new signal ground stations has been gradually enlarged. So we analysed the time series characteristics of B1C&B2a from various perspectives. The two components of the new signal were solved separately, and the sequence continuity of L1X-L5X was found to be poor. The experimental results showed that the ambiguity resolution and position
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Improved TPH for object detection in aerial images J. Spat. Sci. (IF 1.9) Pub Date : 2023-09-04 Xiaobin Wang, Dekang Zhu, Ye Yan, Haohui Sun
ABSTRACT Deep learning has greatly enhanced the general object detection capability. However, when directly applied to aerial images, performance drops significantly due to: (1) Most objects in aerial images are dense and small; (2) UAV altitude variations cause diverse object scales. In this paper, we improve TPH algorithm for exceptional aerial object detection performance. Specifically, we introduce
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Correction J. Spat. Sci. (IF 1.9) Pub Date : 2023-08-10
Published in Journal of Spatial Science (Ahead of Print, 2023)
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Development of flood susceptibility map using a GIS-based AHP approach: a novel case study on Idukki district, India J. Spat. Sci. (IF 1.9) Pub Date : 2023-08-02 Zohaib Ahmed Khan, Bharat Jhamnani
ABSTRACT Flooding is a regular danger in the Idukki district of Kerala causing serious damage to life and property. An attempt has been undertaken in this research to identify crucial zones in the Idukki district that are more susceptible to flooding. The AHP technique was used to give relative weights to 12 flood contributing parameters. The resultant flood susceptibility map shows that 1346.4 km2
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Spatial statistics for legal process J. Spat. Sci. (IF 1.9) Pub Date : 2023-07-24 Riyajun Jannat, Mohammed Al-Amin
ABSTRACT This research was designed in a random sampling method for detecting legal drawbacks in Chattogram North Frest Division, Bangladesh. Land use and land cover (LULC) change, normalised difference vegetation indexing (NDVI), hotspot analysis, IDW and Ripley’s K function were applied for spatial analysis of forest crimes of five fiscal years. The LULC showed forests degraded from 76% to 12% while
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Gamification for road asset inspection from Mobile Mapping System data J. Spat. Sci. (IF 1.9) Pub Date : 2023-07-21 Álvaro Barros-Sobrín, Jesús Balado, Mario Soilán, Enrique Mingueza-Bauzá
ABSTRACT Gamification techniques have been proven effective in various fields such as education and industry. In this paper, we introduce a novel approach that applies gamification techniques to the identification of road assets in Mobile Laser Scanning (MLS) data. Our method utilises three gamification techniques: avatar (vehicle), point cloud segmentation into levels, and scoring. We implemented
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Fusion of PlanetScope and Sentinel 2 in assessing foliar C:N ratio in a rangeland J. Spat. Sci. (IF 1.9) Pub Date : 2023-07-21 Adeola. M. Arogoundade, Onisimo Mutanga, John Odindi
ABSTRACT The efficient monitoring of foliar nutrient such as the C:N ratio is important for sustainable rangeland productivity. Recent advances in Earth observation technology provide multispectral sensors with high spatial, spectral and temporal resolution suitable for modelling foliar nutrients. This study explored the fusion of Sentinel-2 and PlanetScope datasets using the pixel fusion technique
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The influence of two-dimensional currents on the sea surface radar backscattering coefficient J. Spat. Sci. (IF 1.9) Pub Date : 2023-07-19 Jiajie Chen, Lei Liu, Xunchao Liu, Hongli Miao, Qingjun Zhang
ABSTRACT In this paper, the current field modulation is described using a solution of the wave action equation. Using an integrated equation model (IEM), a current field modulated scattering model is established. The sea surface backscattering coefficient decreases with increasing current speed. At high wind speeds, the change of backscattering coefficient under 1 m ⋅ s−1 current field modulation is
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Improving hyperspectral image classification through spectral-spatial feature reduction with a hybrid approach and deep learning J. Spat. Sci. (IF 1.9) Pub Date : 2023-07-12 Md. Rashedul Islam, Md. Touhid Islam, Md. Palash Uddin
ABSTRACT The Hyperspectral Image (HSI) is a great source of information for observing the earth’s elements due to its numerous narrow and continuous spectral wavelength bands. There are some key difficulties, such as the fact that the image bands are spectrally and spatially highly correlated, and the ‘curse of dimensionality’ in using the original HSI for classification. Band (dimensionality/feature)
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Assessment of urban growth dynamics in eight Indian metropolitan cities using spatial metrics J. Spat. Sci. (IF 1.9) Pub Date : 2023-06-09 Gajender Kumar Sharma, Vidya V. Ghuge
ABSTRACT Assessment of urban growth dynamics is crucial for studying urban areas. Urban regions are defined by their growth dynamics and trends. Spatial metrics can greatly benefit the analysis of these dynamics. The study focuses on eight Indian metropolitan cities and uses urban built-up layers extracted from Global Human Settlement Layer. Spatial metrics were applied to assess pattern, compactness
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EDITORIAL J. Spat. Sci. (IF 1.9) Pub Date : 2023-06-06 Robert Odolinski
Published in Journal of Spatial Science (Vol. 68, No. 2, 2023)
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Resnet-Unet considering Patches (RUP) network to solve the problem of patches due to shadows in extracting building top information J. Spat. Sci. (IF 1.9) Pub Date : 2023-06-05 Dongliang Yang, Zichen Liu, Dejun Feng, Yakun Xie, Xudong Song, Ziqin Feng
ABSTRACT Some highrise buildings have elevator rooms or stair houses on the top, which will lead to obvious shadows on the top of the building. When using the deeplearning algorithm to extract the top information of buildings on highresolution remote sensing images, the extracted results have breakage or holes, which leads to the appearance of patches. Based on the Unet and Resnet network, the ResnetUnet
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Integrated mixture model and ensemble learning geographic object-based image analysis for road network extraction J. Spat. Sci. (IF 1.9) Pub Date : 2023-06-01 Elaveni Palanivel, Shirley Selvan
ABSTRACT Delineation of road networks is often hindered by shadows, occlusions and spectrally similar objects. A hybrid Geographic object-based Image analysis (GeOBIA) technique that combines Mixture Model segmentation with Ensemble Learning algorithms to extract road networks is proposed. The Multispectral Local Dirichlet Mixture Model (MLDMM) highlights the built-up area. The bagging or subspace
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Near real-time mapping of jute (Corchorus sp.) area using multi-temporal Sentinel-1 intensity data over the central part of West Bengal, India J. Spat. Sci. (IF 1.9) Pub Date : 2023-05-25 Nilimesh Mridha, Biplab Saha, Tanumoy Bera, Saptarshi Sarkar, Koushik Manna
ABSTRACT The present study aimed to develop a methodology to estimate jute (Corchorus sp.) cultivated areas in the Indian subcontinent using sentinel-1A Synthetic aperture radar (SAR) C band dual polarization data. We developed a hierarchical decision tree (DT) model to estimate jute area and compared it with other supervised and unsupervised methods. The proposed DT model showed improved overall accuracy
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Information extraction system for urban planning and governance using LiDAR based 3D repository J. Spat. Sci. (IF 1.9) Pub Date : 2023-05-01 Jayati Vijaywargiya, Anandakumar M. Ramiya
ABSTRACT In rapidly expanding cities, an accurate land-cover information system can assist in making decisions for sustainable urban planning and governance. Point cloud procured using Airborne LiDAR Scanning (ALS) can be harnessed by creating an adaptable urban semantic information layout with querying capability. We propose a novel methodology that isolates spatial objects and integrates them with
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Field-scale evaluation of remote sensing soil moisture retrievals using a multi-satellite approach J. Spat. Sci. (IF 1.9) Pub Date : 2023-04-06 Saeed Naseri, Bahman Farhadi Bansouleh, Bahareh Hassanpour, Arash Azari
ABSTRACT Nine remote sensing-based surface soil moisture (SSM) estimation models using images from Landsat 8, Sentinel-2 and Sentinel-1 satellites were compared. To evaluate these models, we measured SSM at 179 locations in a 50-ha sunflower field . The result showed that the Water Cloud-based model, a semi-empirical regression model, which used the synergy of Landsat 8 and Sentinel-1 data, was the
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The Optical Trapezoid Model (OPTRAM)-based soil moisture estimation using Landsat 8 data J. Spat. Sci. (IF 1.9) Pub Date : 2023-03-16 Rajat Pandey, Dr. Jyoti Sarup, Dr. Shafique Matin, Dr. Suresh Band Goswami
ABSTRACT Soil moisture is an important factor that can be used for referring to flood situations, monitoring drought estimation, and changes in the environment such as storms and soil erosion. The Optical Trapezoid Model (OPTRAM) estimates surface soil moisture using shortwave infrared transformed reflectance (STR) and the Normalised Difference Vegetation Index (NDVI) in trapezoidal space. In this
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Geocentric Datum of Australia 2020: the first Australian datum developed from a rigorous continental-scale adjustment J. Spat. Sci. (IF 1.9) Pub Date : 2023-03-02 Craig Harrison, Nicholas Brown, John Dawson, Roger Fraser
ABSTRACT We present the Geocentric Datum of Australia 2020, the latest update to the Australian national datum. This update results in a more accurate and precise datum that is better suited to modern positioning needs. Improvements include the removal of the distortions present in the previous national datum, a reduction in the offset to the current International Terrestrial Reference Frame, and the
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Phenological analysis and yield estimation of rice based on multi-spectral and SAR data in Maha Sarakham, Thailand J. Spat. Sci. (IF 1.9) Pub Date : 2023-03-01 Tingyan Fu, Shufang Tian, Qian Zhan
ABSTRACT Rice is one of the most essential food crops in the world and accurate estimation of rice yield is a major content of agricultural research. Recently, scholars have used machine learning algorithms for rice yield estimation. However, there are few studies on rice yield prediction based on rice phenological stages. In this study, a method for rice yield prediction on the basis of rice phenology
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EDITORIAL J. Spat. Sci. (IF 1.9) Pub Date : 2023-02-28
Published in Journal of Spatial Science (Vol. 68, No. 1, 2023)
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AUTHOR AWARDS 2023 J. Spat. Sci. (IF 1.9) Pub Date : 2023-02-28
Published in Journal of Spatial Science (Vol. 68, No. 1, 2023)
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A time series decomposition approach to detect coal fires in parts of the Gondwana coalfields of India from VIIRS data J. Spat. Sci. (IF 1.9) Pub Date : 2023-02-27 Ritesh Mujawdiya, R. S. Chatterjee, Dheeraj Kumar
ABSTRACT This paper proposes an algorithm to detect coal fires using time-series Land Surface Temperature (LST) maps generated from data acquired by a wide-swath Visible Infrared Imaging Radiometer Suite (VIIRS) satellite sensor. VIIRS provides remotely sensed thermal images daily during daytime and nighttime. The proposed algorithm primarily uses the trend component extracted at pixel level from time-series
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Objective Bayesian analysis for geostatistical Student-t processes J. Spat. Sci. (IF 1.9) Pub Date : 2023-02-23 Jose A. Ordoñez, Marcos O. Prates, Larissa A. Matos, Victor H. Lachos
ABSTRACT The choice of the prior distribution is a key aspect of Bayesian analysis. The spatial Student-t regression model poses some challenges when eliciting priors. It is well known that the propriety of the posterior distribution over objective priors is not always guaranteed, whereas the use of proper prior distributions may dominate and bias the posterior analysis. In this paper, we show the
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Paddy rice mapping in Red River Delta, Vietnam, using Sentinel 1/2 data and machine learning algorithms J. Spat. Sci. (IF 1.9) Pub Date : 2023-02-15 Truong Xuan Ngo, Nam Ba Bui, Hieu Dang Trung Phan, Hoang Minh Ha, Thanh Thi Nhat Nguyen
ABSTRACT This study focuses on building a paddy rice map for the Red River Delta region (Vietnam) during the spring crop of 2019. Experiments were conducted with traditional machine learning models (XGBoost, LightGBM) and deep learning models (U-Net, Linknet, DeeplabV3+) based on satellite data from Sentinel 1, Sentinel 2, and topographic maps. The experimental models all gave good evaluation results
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Correction J. Spat. Sci. (IF 1.9) Pub Date : 2023-02-09
Published in Journal of Spatial Science (Vol. 68, No. 1, 2023)
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HyMap imagery for copper and manganese prospecting in the east of Ameln valley shear zone (Kerdous inlier, western Anti-Atlas, Morocco) J. Spat. Sci. (IF 1.9) Pub Date : 2023-02-01 Soufiane Hajaj, Abderrazak El Harti, Amine Jellouli, Amin Beiranvand Pour, Saloua Mnissar Himyari, Abderrazak Hamzaoui, Mohamed Khalil Bensalah, Naima Benaouiss, Mazlan Hashim
ABSTRACT Eastern Kerdous demonstrates a polymetallic hydrothermal activity due its association with a paleorelief area. This study focuses on generating a Mineral Potential Map based on Fuzzy Logic Modelling and HyMap-Based input layers. The Relative Absorption Band Depth, Directed Principal Component Analysis, Line Density, and Mixture Tuned Matched Filtering techniques were implemented to perform
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Glacier facies characterisation in transboundary West Sikkim Himalaya from TerraSAR-X; GLCM based classification approach J. Spat. Sci. (IF 1.9) Pub Date : 2023-01-23 Arpan Sharma, Mousumi Gupta, Narpati Sharma
ABSTRACT The proposed facies classification approach uses three features of the GLCM with multitemporal X-band SAR data of TerraSAR-X combined with k-means clustering. This approach was tested on 15 transboundary Himalayan glaciers. They were classified into six facies namely debris, dry snow, wet snow, bare ice, percolation zone 1 and percolation zone 2 and the covered areas for these classes are
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Quantifying spatial similarity for use as constraints in map generalisation J. Spat. Sci. (IF 1.9) Pub Date : 2022-12-21 Haowen Yan
ABSTRACT Quantitatively expressing spatial similarity is a prerequisite of using it as constraints in map generalization; nevertheless, it has not yet been well solved. To fill the gap, this study firstly proposes the methods for calculating spatial similarity degree between an individual object (or an object group) at a larger scale and its generalized counterpart at a smaller scale, and forms formulae
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A fast two-level grid index algorithm for common edge extraction in vector data compression J. Spat. Sci. (IF 1.9) Pub Date : 2022-12-19 Wei Yang, Qiaojun Li, Xiaoning Li, Shuxia Li, Xianju Feng, YueMei Ren, Ling Wang
In this paper, a fast common edge extraction method based on a two-level grid indexing strategy was proposed for eliminating the common edge ‘cracks’. A coarse-grained first-level grid index was fi...
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SAR and Optical Pixel Level Fusion Methods and Evaluations J. Spat. Sci. (IF 1.9) Pub Date : 2022-12-14 Sanjay Singh, K. C. Tiwari
ABSTRACT In the past years, many vital improvements in image fusion have been recognised, particularly in the fusion of Synthetic Aperture Radar (SAR) and optical sensors. Many kinds of research have been published focusing on pixel-level fusion of SAR and optical images. This paper focuses on pixel-level SAR-optical fusion methods, along with performance assessment and applications. Five categories
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Study on spatial evolution of geographical names in Tongzhou Canal settlements J. Spat. Sci. (IF 1.9) Pub Date : 2022-12-07 Yingxia Shi, Xiangbin Meng, Ke Qin, Ziyue Wang, Yinghao Shi
This study takes the geographical names of Tongzhou Canal settlements as the objects, and analyses the spatial evolution laws of and formation reasons for the geographical names of Tongzhou Canal s...
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Research on infrared dim and small target detection algorithm based on local contrast and gradient J. Spat. Sci. (IF 1.9) Pub Date : 2022-11-08 Weihong Lin, Leihong Zhang, Zimin Shen, Dawei Zhang, Jian Chen, Jie Zhou, Wei Peng, Fengshou Wu
The rapid development of infrared technology makes it widely applicable in such fields as military, medical, testing and communications.This paper proposes an algorithm based on local contrast and ...
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Algorithm for detecting cyclone and anticyclone centres from mean sea level pressure layer J. Spat. Sci. (IF 1.9) Pub Date : 2022-11-07 Martin Prantl, Michal Žák, David Prantl
Automatic methods for identifying and tracking pressure systems have been traditionally focused on cyclones (and particularly on tropical cyclones), but the question of anticyclone centre detection...
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Detecting topographic database changes and updating 1:25.000 scale maps population class by changes J. Spat. Sci. (IF 1.9) Pub Date : 2022-11-02 Fatih Kalle, Huseyin Zahit Selvi, Ilkay Bugdayci
For rapid production of spatial data and topographic maps, map production systems should be transformed into a dynamic structure. Topographic map production system in Turkey, cartographic operation...
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Research on Real Time Reconstruction Technology of Regional Ionospheric Model with GNSS Data Integrated J. Spat. Sci. (IF 1.9) Pub Date : 2022-10-28 Liu Kun, Haining Wang, Jian Zhang, Qinglin Zhu, Xiang Dong, Dongsheng Sheng, Zhigang Yuan
On the basis of the International Reference Ionosphere (IRI) model, the reconstruction of the ionospheric model is realised by optimising the key parameters of the sunspots with the GNSS data integ...
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A GIS-based simulation and visualization tool for the assessment of gully erosion processes J. Spat. Sci. (IF 1.9) Pub Date : 2022-10-19 Adel Omran, Dietrich Schröder, Christian Sommer, Volker Hochschild, Michael Märker
Gully erosion is known to affect soil productivity, and to limit land use in many parts of the world. To assess the susceptibility of soils to gully erosion, the triggering factors must be analyzed...
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Investigating spatial relationship between vegetation cover and soil moisture using sentinel satellites: a case study of North Gondar Zone, Ethiopia J. Spat. Sci. (IF 1.9) Pub Date : 2022-10-13 Worku Nega, Wondifraw Nigussie, Abel Balew
Assessing spatial and temporal variations of soil moisture has a great role in different applications, such as natural resource management, flood-risk prediction, irrigation development, hydrology,...
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Downscaling land surface temperature with high-resolution image: a difference mean distribution (DMD) post-processing method J. Spat. Sci. (IF 1.9) Pub Date : 2022-10-11 Jinlong Zang, Qiaozhen Guo, Xiaoxu Wu, Huanhuan Wu, Yue Qiao, Yunhai He, Li Zhu
Land surface temperature (LST) inversion using remote sensing is a crucial tool to study the land surface thermal environment. To improve the resolution of the inverted LST, a downscaling method is...