Advanced Tools for Studying Soil Erosion Processes
Erosion Modelling, Soil Redistribution Rates, Advanced Analysis, and Artificial Intelligence
-
20% KEDVEZMÉNY?
- A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.
- Kiadói listaár EUR 170.00
-
70 507 Ft (67 150 Ft + 5% áfa)
Az ár azért becsült, mert a rendelés pillanatában nem lehet pontosan tudni, hogy a beérkezéskor milyen lesz a forint árfolyama az adott termék eredeti devizájához képest. Ha a forint romlana, kissé többet, ha javulna, kissé kevesebbet kell majd fizetnie.
- Kedvezmény(ek) 20% (cc. 14 101 Ft off)
- Kedvezményes ár 56 406 Ft (53 720 Ft + 5% áfa)
Iratkozzon fel most és részesüljön kedvezőbb árainkból!
Feliratkozom
70 507 Ft
Beszerezhetőség
Megrendelésre a kiadó utánnyomja a könyvet. Rendelhető, de a szokásosnál kicsit lassabban érkezik meg.
Why don't you give exact delivery time?
A beszerzés időigényét az eddigi tapasztalatokra alapozva adjuk meg. Azért becsült, mert a terméket külföldről hozzuk be, így a kiadó kiszolgálásának pillanatnyi gyorsaságától is függ. A megadottnál gyorsabb és lassabb szállítás is elképzelhető, de mindent megteszünk, hogy Ön a lehető leghamarabb jusson hozzá a termékhez.
A termék adatai:
- Kiadó Elsevier Science
- Megjelenés dátuma 2024. augusztus 23.
- ISBN 9780443222627
- Kötéstípus Puhakötés
- Terjedelem632 oldal
- Méret 234x190 mm
- Súly 1310 g
- Nyelv angol 589
Kategóriák
Hosszú leírás:
Advanced Tools for Studying Soil Erosion Processes: Erosion Modelling, Soil Redistribution Rates, Advanced Analysis, and Artificial Intelligence presents the most recent technologies and methods in quantifying soil erosion, focusing on quantitative geomorphological assessment, soil erosion interaction with natural and man-made hazards using new methods, and technologies that employ GIS, remote sensing (RS), spatial modeling, and machine learning tools as an effective plan for decision-makers and land users.
Organized into three parts: 1) Erosion processes and impacts, 2) Advanced computing techniques to quantify soil erosion, and 3) Methods of Soil Erosion, this book will be an invaluable source material for researchers, academicians, graduate and undergraduate students, and professionals in the field of geology, specifically focused on geographic information systems and remote sensing.
Tartalomjegyzék:
Part-I - Erosional processes and impacts
1. Mapping land subsidence using time-series analysis of Sentinel-1 InSAR in various land use areas
2. Use of hydrological models in erosion and sediment studies: a review
3. Comprehensive introduction to Digital Elevation Models, as a key dataset in soil erosion mapping
4. Eco-geomorphic reconstruction and illustration of the erosional landforms from a geomorphological point of view
5. Extraction of water bodies using machine learning and water body indices in an arid region, comparison, and application: A case study Naser Lake Egypt
6. Leveraging remote sensing data and machine learning models to estimate suspended sediment concentration (SSC), a vital water quality parameter to assess soil erosion effects
7. The messianic tail of cyanobacteria: Revival role of microbial biological crust on restoring degraded soils
8. Analyzing the homogeneity of the paired catchments using the fractal dimension of the drainage network and catchment shape
9. Fractal analysis of drainage network and its relationship with flooding potential in arid areas
10. Climate change and soil erosion dynamics: An overview
11. Mapping rangeland vegetation types sensitive to soil erosion in semi-arid of Iran
Part-II - Advanced computing techniques to quantify soil erosion
12. Event-based soil erosion estimation in a tropical watershed using OpenLISEM
13. A scenario-based approach for modeling and monitoring the impacts of climate change on forest fire using MODIS time series images
14. Soil erosion analysis based on UAV and SPOT-6 satellite images
15. Gully erosion susceptibility assessment using machine learning methods and geostatistical multivariate approach
16. Land subsidence modeling and mapping in Darab region, Iran
17. Review of multihazards research with the basis of soil erosion
18. Prediction of soil erosion using machine learning
19. Artificial Intelligence including Machine Learning and Deep Learning algorithms
20. Understanding piping process on large dimension piping: Erosion versus weathering
21. Quantile random forest technique for soil moisture contents digital mapping, Sarvestan Plain, Iran
22. Modeling spatial variability of soil loss tolerance (T-value) using geostatistical approaches (case study: Dorudzan Watershed, Fars Province, Iran)
Part-III - Methods of soil analysis
23. Potential of spectroscopy-based approaches for predicting soil erosion-related parameters: A short review
24. Spatiotemporal variations in land use of Mahvelat plain in Iran using Google Earth Engine from 2011 to 2030
25. Detecting soil salinization, sodicity, and alkalization hazards within cultivated lands using digital soil mapping approaches
26. The impact of geomorphological hazards (i.e., mass movements/landslides) on soil erosion
27. Involvement of erosion processes in the development of landslides in the locality of Echiock-Santchou (West Cameroon)
28. Digital mapping of soil pH in arid and semi-arid regions
29. Unraveling the spatial signature of gully erosion in the arid and semi-arid regions of the northeast of Iran: Every single factor matters!
30. Soil erosion monitoring using the perpendicular soil moisture index as a remote sensing index
(case study: Salehiya Wetland, Iran)
31. Scrutinizing of soil erosion spatial distribution through explicit spatial HRU approaches in SWAT model
32. Application of ANSWERS model for calculating runoff and sediment prediction from steep agricultural watersheds in northern Iran and its comparison with the other related models
33. Susceptibility of the erosional landforms (Case study: Razavi Khorasan Province, Iran)
Index
Több