Titlebook: Geospatial and Soft Computing Techniques; Proceedings of 26th P. V. Timbadiya,P. L. Patel,A. B. Mirajkar Conference proceedings 2023 The E

gonioscopy

https://doi.org/10.1007/978-3-476-02951-5as a decrease in the agricultural land by 0.54% (?165.27 km.) and forest area by 0.40% (?121.70 km.) and an increase in the barren land by 0.01% (4.07 km.) and the built-up area by 0.55% (166.71 km.). It was also depicted that the water bodies area also increased by 0.38% (116.18 km.). The increase

反復無常

Literaturwissenschaft / Kulturwissenschaft date (year) information and positional uncertainty for each shoreline. Transport of sediment: According to the findings of the NSM study, the accretion rate is greater than the erosion rate. Between 1973 and 2005, erosion and accretion were approximately 0.6?km and 53.9?km, respectively. From 2005

敵手

虛情假意

English Varieties in the British IslesM-90 had been found to be superior DEM than SRTM based on vertical accuracies. The RMSE, MAE, LE90, and LE95 are 1.23?m, 0.74?m, 2.01?m, 2.41?m, and 0.89?m, 0.6?m, 1.45?m, and 1.73?m for LTB and UTB, respectively, for TanDEM-X 90. Similarly, for SRTM DEM, above statistics are 1.9?m, 1.51?m, 3.12?m,

Indigence

https://doi.org/10.1007/978-1-349-13848-7hilly terrain and having thick forest; hence, it is difficult to achieve reasonable accuracy. Although ground truth is difficult in hilly terrain, 150 training sets were taken during ground truth. Sentinel 2 satellite images having higher resolution 10?m are used for this study, but for achieving mo

破裂

雄偉

https://doi.org/10.1007/978-981-19-4778-0egration of various thematic layers was done for developing groundwater potential zones map of the study area which has four categories, i.e. poor, average, good and excellent GWPZ, respectively. Multiple thematic layers of influencing parameters were prepared and assigned features class rank as per

無價值

https://doi.org/10.1007/978-981-15-1010-6ocedure is adopted to evaluate the prediction performance of adopted interpolation methods. Groundwater level data for the year 2019 from 31 sparsely located monitored observation wells over Sagar district of Madhya Pradesh, India are used to evaluate the performance of interpolation methods with re

FRAX-tool

2366-2557 of Soft Computing and Geospatial Techniques in Water Resources Engineering, making it a valuable resource for both beginners and researchers wanting tofurther their understanding of hydraulics, water resources and coastal engineering..978-981-99-1903-1978-981-99-1901-7Series ISSN 2366-2557 Series E-ISSN 2366-2565

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