September 2020 is a regular edition of the Journal of Spatial Science that includes research papers encompassing a broad range of topics.
Yu, Li, Wang and Han propose combining an aggregate constraint method with the unscented Kalman filter (UKF) to solve GPS/inertial navigation system integration with equality and inequality constraints. The proposed algorithm comprehensively combines the characteristics of the aggregate constraint method and UKF, and achieves results in a computationally efficient way.
In their study, Ghorbanzadeh, Blaschke, Aryal and Gholaminia evaluate the predictive performance of an adaptive neuro-fuzzy inference system (ANFIS) with six different membership functions. Using GIS, they applied ANFIS to land subsidence susceptibility mapping in northern Iran. The authors derived a land subsidence inventory from differential synthetic aperture radar interferometry of two Sentinel-1 images and investigated regions that are susceptible to subsidence via the ANFIS method.
Agricultural land is a limited resource and Poland has implemented new legal regulations to protect the sale of agricultural land. The Integrated Real Estate Information System (IREIS), was analysed by Klimach, Dawidowicz, Dudzińska and Źróbek to determine the extent to which it supports farmland management policies. The results of the study indicate that the IREIS is fit-for-purpose and can effectively protect agricultural land during market transactions.
In their paper that examines a polarized reflectance model for remote sensing of densely vegetated surfaces, Zhao, Yang, Wang, Wu and Sun propose a modified model that takes the variation of leaf orientation into consideration. The modified model is compared to the Rondeaux-Herman model, Nadal-Bréon model and a one-parametric linear model using remotely sensed polarized data obtained by the Research Scanning Polarimeter over Oklahoma (USA).
Liu and An created five new spectral indices and used MLC-RFI to determine their importance. The results showed that these spectral indices had a positive eﬀect on tree species classiﬁcation using WorldView-2. The experimental results indicate that important spectral indices for tree species classiﬁcation can be created that are beneﬁcial to mine spectral information from remote sensing images.
Texture mapping of 3D models in fields like architecture and archaeology is a real challenge especially with large numbers of images which are not always captured with the ideal photogrammetric order. Abdelhafiz and Mostafa investigate a new algorithm for fully automatic texture mapping based on several parameters and the results are qualitatively and quantitatively compared with state-of-the-art texture mapping algorithms.
Spatiotemporal monitoring of surface soil moisture using optical remote sensing data was investigated by Khellouk and a team as a means of assessing important parameters to estimate crop water requirements, especially in arid and semi-arid areas. Two approaches were applied in the irrigated perimeter of Tadla (Morocco) using multispectral bands of Landsat-8 OLI images. The first approach examined the potential of the visible and short-wave infrared drought index, normalized multi-band drought index and short-wave infrared water stress index, while the second approach attempted to develop a new model based on evaluation of the correlation between multispectral bands and measured surface soil moisture content using a stepwise multiple regression analysis.
Changing land use patterns have triggered urban area warming in recent times. The study by Dutta, Gupta and Kishtawal analyses the development and expansion of a heat island over Durgapur (Eastern India) in the last 25 years in terms of LULC change using various indices
Reliable information of croplands has useful implications for agriculture. Based on the random forest classifier, Su, Zhang and Tian developed a cropland extraction method. Landsat 8 multi-temporal image data were used for classifying crop and non-crop vegetation, and to solve the large redundancy problem, a new feature selection method was proposed based on a temporal feature selection criterion.
Ai, Liu, Wang and Sun use map load as an evaluation indicator for multi-scale representation of ocean flow fields using the Euler method. The map load of ocean flow fields is calculated and the suitable map load interval is analysed in order to obtain the key scale for multi-scale representation of ocean flow fields. The load is limited by appropriate load intervals to fit the relationship between map load and scale, and finally, a mathematical model for multilevel comprehensive evaluation is established, and the usability of the resulting ocean flow field map is evaluated.
Reference: Graeme Wright (2020) Editorial, Journal of Spatial Science, 65:3, 375-376
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