PRIETO AMPARÁN, JESÚS ALEJANDRO (2020) MODELACIÓN Y ANÁLISIS GEOESPACIAL DE FACTORES DETERMINANTES EN LA PRODUCTIVIDAD DE LOS ECOSISTEMAS, EN EL ESTADO DE CHIHUAHUA, MÉXICO. Doctorado thesis, UNIVERSIDAD AUTONOMA DE CHIHUAHUA.
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Resumen
The spatial modelling and analysis of natural resources is an increasingly urgent need. The results of geospatial modeling can contribute to a better understanding of the current, past and future state of natural resources. The objective of this work is to model and analyze five regions of the state of Chihuahua using geographic information systems, remote sensing data, field information, and geospatial data. The work consisted of five case studies. In the first study, grassland biomass was correlated with spectral data from the Landsat sensor. In the second study, scenarios of land use/land cover change in the forest region of San Juanito were generated. In the third study, a set of Rio Conchos basins were analyzed using multivariate techniques and the compound parameter to find those basins with greater susceptibility to erosion. In the fourth study, the productivity of the forests of the Chinatu Ejido was analyzed, as well as their spatial distribution. The fifth study combined interpolation techniques and multivariate analysis for a set of wells in the Delicias 005 irrigation district, where seven physicochemical parameters were analyzed, to determine their spatial distribution. The results of the five studies can contribute to the analysis of large areas of land and low cost, to know their current status to take priority actions to avoid their deterioration.
Tipo de Documento: | Tesis (Doctorado) |
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Palabras Clave: | Landsat, Cadenas de Markov, Escenarios, Autómatas celulares, Cambio de cobertura de suelo/uso de suelo, sensores remotos, geoespacial, análisis multivariado, SIG, agrupación espacial, ACP. |
Clasificación temática: | T Technology > TL Motor vehicles. Aeronautics. Astronautics |
Usuario Remitente: | Admin Administrador del Respositorio |
Depositado: | 12 Mar 2021 17:09 |
Ultima Modificación: | 21 Jun 2022 20:35 |
URI: | http://repositorio.uach.mx/id/eprint/310 |
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