In this paper, two main approaches for automatic building detection and localization using high spatial resolution imagery LiDAR data are compared evaluated: thresholding-based object-based classification. The approach is founded on the establishment of threshold values: one refers to minimum height be considered as building, defined data, other presence vegetation, which according spectral response. follows standard scheme image classification: segmentation, feature extraction selection,...

Mapping forest structure variables provides important information for the estimation of biomass, carbon stocks, pasture suitability or wildfire risk prevention and control. The optimization prediction models these requires an adequate stratification landscape in order to create specific each structural type strata. This paper aims propose validate use object-oriented classification methodology based on low-density LiDAR data (0.5 m−2) available at national level, WorldView-2 Sentinel-2...

In this article various methodologies, based on the use of Gabor filters, are described and analysed for extraction texture features subsequent classification aerial satellite digital images. Images urban, forest agricultural areas were used, where complexity terrain differences in vegetation density require consideration existing as a base elaborating land cartography. The filters is driven by potential they have to isolate according particular frequencies orientations. parameters that...

Abstract. Crop classification based on satellite and aerial imagery is a recurrent application in remote sensing. It has been used as input for creating updating agricultural inventories, yield prediction land management. In the context of Common Agricultural Policy (CAP), farmers get subsidies crop area cultivated. The correspondence between declared actual needs to be monitored every year, parcels must properly maintained, without signs abandonment. this work, Sentinel- 2 time series...

<p>En este trabajo se proponen y evalúan diferentes parámetros matemáticos extraídos del semivariograma experimental para la clasificación de los usos suelo mediante imágenes alta resolución, usando límites catastrales definición objetos análisis. En primer lugar, describe el proceso cálculo a partir valores niveles gris objeto imagen. Con fin optimizar tiempo presentan dos técnicas selección píxeles que conservan forma original semivariograma. A continuación definen varios Final-...

The authors appreciate the financial support provided by Spanish Ministerio de Ciencia e Innovacion and FEDER in framework of projects CGL2009-14220 CGL2010-19591/BTE, Instituto Geografico Nacional.

This paper analyzes the effect of addition historical land-use as a descriptive feature in plot-based image classification when updating land-use/land-cover geospatial databases. Several databases have been simulated to assess influence and significance this classification. The causes, nature, evolution errors database currency varies are analyzed; impact these on change detection during process is evaluated. results show that information increases overall accuracy classifications. During...

The inclusion of technological innovation and the development remote sensing tools in wine production are an efficient productive factor that supports improves quality produced. In this study we explored models based on Sentinel-2 image bands spectral indices to estimate key variables, such as phenols (TP), anthocyanins (TA) color intensity (CI), providing different sensory characteristics wine. Two Cabernet Sauvignon harvest seasons were studied, 2017 2018, with coefficients determination...

Abstract. We present a study for the evaluation of efficiency context features in object-based land-use classification urban environments using aerial high spatial resolution imagery and LiDAR data. Objects were defined by means cartographic boundaries derived from cadastral geospatial database. are exhaustively described through different types image (i.e. spectral texture), three-dimensional computed data, geometrical describing shape each object. Additionally, object is considering...

Abstract. In many publications the performance of different classification algorithms regarding to agricultural classes is evaluated. contrast, this paper focuses on potential imagery for two most frequent classes: cropland and grassland. For our experiments three categories imagery, high resolution aerial images, RapidEye satellite images medium Disaster Monitoring Constellation (DMC) are examined. An object-based image classification, as one reliable methods automatic updating evaluation...

To monitor the ripeness and composition of wine grape berries establish an optimal harvest date, determination °Brix pH is vital. This research studies two seasons Cabernet Sauvignon grapes: 2017 2018. Field data were periodically collected to follow phenological state fruits. In parallel, eight bands four spectral indices from Sentinel-2 image time series used, which are directly related foliage properties activity, indirectly fruit evolution. They variables measured field samples: pH. The...

Introducción: Puede identificarse como problema los bajos resultados de Colombia en comprensión lectora las pruebas PISA. Como objetivo se asumió la validación una rúbrica y producción textual, aplicada entre 2019-2021, que sirvió soporte para nueva aplicación 2023, con estudiantes Sociología Universidad Popular del Cesar (UPC). Metodología: Se escogieron 11 asignatura Investigación 1, a les aplicó un ejercicio artículo sobre el método científico; 17 Seminario trabajo grado evaluaron 11,...

In this article, a technique towards the generation of hybrid raster-attributes map for use in mobile devices is described. Our solution based on coding attributes within an image using RGB values. The designed method enables simultaneous storage discrete thematic and continuous quantitative attributes. This approach offers wide range possible uses. Small memory requirements simplicity software enable to be used efficiently without Internet connection. article describes basic fundamentals...