###### Abstract
The identification of the factors involved in land changes is important to develop real land-use change models that allow for the analysis of changes in phenology, the detection of vulnerable areas and the analysis of the state of natural resources [3]. Methodologies to detect different land uses are closely linked to remote sensing, geographic information systems and computer processes that allow the processing of data sets. There are different modeling approaches to determine land-use changes, for example, dynamic and static models. Dynamic models are related to temporal and dynamic changes in land use, relating changes in past transitions and their trajectories. Static models are used to examine land-use change factors based on local knowledge. Other examples are inductive and deductive models. Inductive models are elaborated from correlations between land-use transitions and a selected set of variables that provide information on possible land change scenarios. Deductive models use theory as a basis for establishing patterns of change, developing the model based on the relationships between humans and the environment [4]. Changes in land use are accompanied by variations in their ecosystem value, which is why it is important to address methodologies that evaluate changes in the ecosystem valuation of natural resources; this type of method is based on assigning a monetary value to natural resources related to the production of environmental services [5]. The environmental services (ESs) provided by the Andean zones to their environment according to the type of service are provisioning services, which are of direct use, and regulating services, cultural services and support services, which are of indirect use. Provisioning services are related to the food products that people obtain from the resource. Regulating services represent the contribution to the conservation of air and soil quality. Cultural services provide stability in the sense of belonging and spirituality, landscape aesthetics,customs, heritage and identity. Support services are made up of the processes necessary for the production of all other ecosystem services [13]. There are different methodologies for natural resource ESs, based on two approaches: (1) the anthropocentric approach and (2) the intrinsic approach [14]. The first approach studies the value of natural resources from the utility that ESs provide to human beings, and the second approach analyzes the value of natural resources by affirming that every natural good is worth its own existence. The anthropocentric valuation approach divides the EV by the type of value into the categories of use value and option value. The use values allow determining the economic income obtained from provisioning services and are divided into the direct use value and the indirect use value. Indirect use values help to determine the value of support, regulatory and cultural ESs. Option values provide costs linked to future values. The intrinsic valuation approach is studied with the non-use value and the existence value. This vision is predominant in some Native peoples and communities with a total conservation vision [6]. Monitoring land-cover changes in Andean systems and analyzing the variability of their ecosystem valuation (EV) is a challenge that must be addressed in a comprehensive manner in order to develop sustainable strategies in accordance with the reality of the conservation status of the resource [15; 16]. Several studies have assessed land-cover change using the maximum similarity ranking and minimum distance ranking methods. The maximum similarity classification methodology is based on the assumption that the reflectivity data for each of the land-cover categories follow a multivariate normal distribution. The method allows setting probability thresholds for each category and rejecting pixels with low probability. However, the basic assumption of normality is not always met, so it is always necessary to verify it [17; 18].