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Transitional relationships among typical loess geomorphologic types: Loess Plateau of China
Relaciones de transición entre tipos geomorfológicos típicos de loess: meseta de loess de China
DOI:
https://doi.org/10.15446/esrj.v29n1.118386Keywords:
transitional relationship, digital index systems, typical loess geomorphologic type, digital geomorphologic database, Landsat TM/ETM+ images, SRTM1 DEM data, Loess Plateau (en)relación transicional, sistemas de indexación digital, tipos geomorfológicos de loess, bases de datos geomorfológicas digitales, imágenes Landsat TM/ETM+, información SRTM1 DEM, Meseta de Loess (es)
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Taking the distribution area of typical loess geomorphologic types in the Loess Plateau of China as the study area, this research aims to explore the transitional relationships among typical loess geomorphologic types based on their constructed digital index systems using the data sources of digital geomorphologic database, Landsat TM/ETM+ images and SRTM1 DEM data. Based on Landsat TM/ETM+ images, the digital geomorphologic database was firstly checked and improved using visual interpretation combined with expert knowledge methods, so as to acquire the precise spatial distribution of the typical loess geomorphologic types. Then, the digital index systems for the typical loess geomorphologic types were constructed, which included topographic indexes, quantitative indexes from topographic profile method and remote sensing indexes. Finally, the transitional relationships among the typical loess geomorphologic types were explored based on the constructed digital index systems and the spatial distribution pattern on the remote sensing images. The research results show: loess tableland may transform to loess ridge or loess knoll, and loess ridge may transform to loess knoll. As to morphologic types, loess tableland may transform to loess residual tableland, and then to loess beam tableland; loess wide acclivitous ridge may transform to loess narrow acclivitous ridge, and then to loess knoll ridge. For the valley shape types of the loess ridge and loess knoll, the shallow and high valley may transform to deep and high valley, and then to shallow and low valley. This research is meaningful in the fields such as digital mapping of loess geomorphology, water and soil loss, soil erosion and digital topographic analysis.
Este trabajo toma como objeto de estudio el área de distribución de los tipos geomorfológicos de loess típicos en la Meseta de Loess de China, con el objetivo de explorar las relaciones de transición entre los tipos geomorfológicos de loess típicos en función de sus sistemas de índices digitales a través de bases de datos geomorfológicos digitales, imágenes Landsat TM/ETM+ y datos DEM SRTM1. Con base en las imágenes Landsat TM/ETM+, la base de datos geomorfológica digital fue verificada y mejorada a través de interpretación visual combinada con métodos de expertos para adquirir la distribución espacial precisa de los tipos geomorfológicos típicos de loess. Luego se construyeron los sistemas de indexación digital para esta clase de loess, los cuales incluyen índices topográficos, índices cuantitativos tomados de métodos de perfil topográfico e índices remotos. Finalmente, se exploraron las relaciones transicionales entre los tipos gemorfológicos de loess con base en los sistemas de indexación digital construidos y los patrones de distribución espacial en las imágenes de detección remota. Los resultados de la investigación muestran que los loess tipo meseta pueden transformarse en loess tipo crestas o montículos, y las crestas pueden transformarse en loess tipo montículos. En cuanto a los tipos morfológicos, los loess tipo meseta pueden transformarse en meseta residual y luego en meseta viga; los loess tipo cresta ancha e inclinada pueden transformarse en cresta estrecha e inclinada y luego en cresta de montículo. Para los tipos de forma de valle de la cresta loess y montículo loess, el valle superficial y alto puede transformarse en valle profundo y alto, y luego en valle superficial y bajo. Esta investigación es significativa en campos como el mapeo digital de la geomorfología del loess, la pérdida de agua y suelo, la erosión del suelo y el análisis topográfico digital.
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