Model of Post Fire Erosion Assessment Using RUSLE Method, GIS Tools and ESA Sentinel DATA
作者： Gabriele Nolè , Valentina Santarsiero , Antonio Lanorte , Biagio Tucci , Vito Augusto Capurso
DOI: 10.1007/978-3-030-58814-4_36
关键词: Thematic map 、 Universal Soil Loss Equation 、 Environmental science 、 Geographic information system 、 Change detection 、 Erosion 、 Environmental resource management 、 Map algebra 、 Vegetation 、 Graphical model
摘要: Soil erosion in fired areas is one of the main environmental problem involves degrading quality soil and reducing productivity affected lands. The aim this work to implement a procedure that analyzes change detection potential eroded burned area, discriminate amount loss. As part MESARIP project (in agreement with Regional Civil Protection) order analyses pre post fire event, using Sentinel 2 data RUSLE (Revised Universal Loss Equation) method GIS open source environment, graphical model has been developed. application requires series consequential spatial analysis elaborations and, according scheme, developed Graphical Modeler. QGIS contains single environment multiplicity tools algorithms native other software, such as, for example, SAGA GRASS GIS. user interface very simple basic thematic input as DEM, MASK or vegetation indices etc. advantages construction can be identified standardization map algebra operations also speed execution steps. Currently tested some 2019 located northern Apulia Region will operational mode during 2020 summer season.
springer.com
sci-hub.st 参考文章(29)
Africa Heredia Laclaustra, Emilio Chuvieco Salinero, William Piñeros, Emely Quintero, Susana Martínez Sánchez, COMPARACIÓN DE DISTINTAS TÉCNICAS DE ANÁLISIS DIGITAL PARA LA CARTOGRAFÍA DE ÁREAS QUEMADAS CON IMÁGENES LANDSAT ETM Geofocus: Revista Internacional de Ciencia y Tecnología de la Información Geográfica. ,vol. 3, pp. 14- ,(2003)
D. C. Yoder, G. A. Weesies, D. K. McCool, G. R. Foster, K. G. Renard, Predicting soil erosion by water : a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE) ,(1997)
W. H. Wischmeier, D. D. Smith, Predicting rainfall erosion losses : a guide to conservation planning Predicting rainfall erosion losses - a guide to conservation planning.. ,vol. 537, pp. 62- ,(1978)
GD Richards, A General Mathematical Framework for Modeling Two-Dimensional Wildland Fire Spread International Journal of Wildland Fire. ,vol. 5, pp. 63- 72 ,(1995) , 10.1071/WF9950063
M. Sorriso-Valvo, R.B. Bryan, A. Yair, F. Iovino, L. Antronico, Impact of afforestation on hydrological response and sediment production in a small Calabrian catchment Catena. ,vol. 25, pp. 89- 104 ,(1995) , 10.1016/0341-8162(95)00002-A
J. A. Hartigan, M. A. Wong, A K-Means Clustering Algorithm Journal of The Royal Statistical Society Series C-applied Statistics. ,vol. 28, pp. 100- 108 ,(1979) , 10.2307/2346830
B. J. Fu, W. W. Zhao, L. D. Chen, Q. J. Zhang, Y. H. Lü, H. Gulinck, J. Poesen, Assessment of soil erosion at large watershed scale using RUSLE and GIS: a case study in the Loess Plateau of China Land Degradation & Development. ,vol. 16, pp. 73- 85 ,(2005) , 10.1002/LDR.646
M.J. López García, V. Caselles, Mapping burns and natural reforestation using thematic Mapper data Geocarto International. ,vol. 6, pp. 31- 37 ,(1991) , 10.1080/10106049109354290
I. O. A. Odeh, A. B. McBratney, D. J. Chittleborough, Soil pattern recognition with fuzzy-c-means : application to classification and soil-landform interrelationships Soil Science Society of America Journal. ,vol. 56, pp. 505- 516 ,(1992) , 10.2136/SSSAJ1992.03615995005600020027X
Saro Lee, Soil erosion assessment and its verification using the Universal Soil Loss Equation and Geographic Information System: a case study at Boun, Korea Environmental Earth Sciences. ,vol. 45, pp. 457- 465 ,(2004) , 10.1007/S00254-003-0897-8