Taking into account that the forests are one of the most voluble ecosystem of the World but the man, in his desire to improve his life conditions, carries out the activities bringing inevitable damage to this natural recourse with the famous problem of deforest. In this case, the present investigation work is denominated as "Monitor of Deforest in Moyobamba and Rioja Province in San Martin Region", with the purpose of relying on the base instrument to help in making proposals of supported development, compatible with natural and actual characteristics of the mentioned above provinces. lt's necessary to indicate that the analysis of the images of satellite Lansat 5 (TM 1986 year) and Landsat 7 (ETM + 1 999 year) were made first at the study, the same made first at the study, the same satellites were processed spending the Systems of Remote Perception and the Systems of Geographical lnform...

Teniendo en cuenta que los bosques constituyen uno de los ecosistemas más valiosos del mundo, pero el hombre en su afán de mejorar sus condiciones de vida realiza actividades que inevitablemente perjudican a este recurso natural con el tan conocido problema de la deforestación. En tal sentido, el presente trabajo de investigación denominado •Monitoreo de la Deforestación en las Provincias de Moyobamba y Rioja en la Región san Martín", se realizó con la finalidad de contar con una herramienta base que ayude a plantear propuestas de desarrollo sostenible, compatibles con las características físicas naturales y actuales de dichas provincias. Cabe indicar que en el estudio se priorizo el análisis de imágenes de satélite LANDSAT 5 (TM del año 1986) y LANDSAT 7 (ETM+ del año 1999), los mismos que fueron procesados empleando los Sistemas de Percepción Remota y los Sistemas de ...

Propone la delimitación de la faja marginal del río Cumbaza en dos tramos en el ámbito de la Autoridad Local del Agua (ALA) Tarapoto con el fin de realizar el procesamiento de modelamiento geométrico y numérico y elabora una propuesta técnica para dicha delimitación.

Rice is a globally important crop and a staple in the diet of a large part of the world's population. This underscores the need for hybridization and improvement of rice genotypes to meet food demand in an environmentally sustainable manner. Geographic Information Systems (GIS) have proven to be valuable tools for the morphometric phenotyping of different genotypes. In this study, seven different rice genotypes were evaluated with the objective of selecting those with high yield. Multispectral imagery was used to develop prediction models based on supervised learning algorithms, including Linear Regression (LR), Support Vector Machine (SVM), Random Forest (RF), Elastic Net (EN), and Neural Networks (NN). The variables studied were plant height, number of panicles, number of tillers, and yield. The results showed the following performances: R² = 0.44 for plant height using Random Forest,...