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,...

The main objective of this article was to show an application principal component analysis (PCA) which is used in two science degrees. Particularly, PCA obtain information the land cover from satellite images. Three Landsat images were selected areas located municipalities Gandia and Vallat, both Valencia province (Spain). In first study area, just one image 2005 year used. second taken 1994 2000 years analyse most significant changes cover. According results, area allowed detecting presence...

The creation of a quality Digital Terrain Model (DTM) is essential for representing and analyzing the Earth in digital form. continuous improvements acquisition potential airborne Light Detection Ranging (LiDAR) data are increasing range applications this technique to study surface. aim was determine optimal parameters calculating DTM by using an iterative algorithm select minimum elevations from LiDAR steep mountain area with shrub vegetation. were: input type, analysis window size, height...

ABSTRACT Riparian corridors in semi‐arid Mediterranean environments are ecosystems of high biodiversity and complexity. However, they threatened because levels human intervention. River damming related flow manipulation is considered as one the most prominent impacts on riparian corridors. This study combines historical time series information river flows their manipulation, aerial images depicting changes land cover ground observations species – age composition morphology corridor a (the...

Coastal lagoons are transitional ecosystems with complex spatial and temporal variability. Remote sensing tools essential for monitoring unveiling their Turbidity is a water quality parameter used studying eutrophication sediment transport. The objective of this research to analyze the monthly turbidity pattern in shallow coastal lagoon along two years different precipitation regimes. selected study area Albufera de Valencia (Spain). For purpose, we Sentinel 2 images situ data from program...

Agricultural land abandonment is an important environmental issue in Europe. The proper management of agricultural areas has implications for ecosystem services (food production, biodiversity, climate regulation and the landscape). In coming years, increase abandoned expected due to socio-economic changes. identification quantification plots key monitoring this process applying measures. Valencian Region (Spain) fruit vegetable producing area Europe, it most citrus industry. However, sector...

The volume of water stored in reservoirs needs to be regularly monitored ensure that quality parameters meet the necessary standards for their intended uses. At other times surveillance is control new impacts may arise when solving primary needs, example, case eutrophication. Public administrations frequently monitor chlorophyll a (chl-a). It an indicator phytoplankton biomass, and increase its level alarm signal. Typically, chl-a levels below 2.5 mg/m3 are considered good quality, above 25...

Developing indicators to monitor environmental change in wetlands with the aid of Earth Observation Systems can help obtain spatial data that is not feasible situ measures (e.g., flooding patterns). In this study, we aim test Sentinel-2A/B images suitability for detecting small water bodies characterized by high diversity temporal and patterns using previously published indices. For purpose, used medium resolution four representative coastal Valencia Region (East Spain, Mediterranean Sea),...

Modelling fire behaviour in forest fires is based on meteorological, topographical, and vegetation data, including species’ type. To accurately parameterise these models, an inventory of the area analysis with maximum spatial temporal resolution required. This study investigated use UAV-based digital aerial photogrammetry (UAV-DAP) point clouds to classify tree shrub species Mediterranean forests, this information key for correct generation wildfire models. In July 2020, two test sites...

In smallholder areas, the abandonment of orchards is a recent phenomenon with socioeconomic and environmental consequences. Biomass estimation monitoring these areas essential to analyze their influence on CO2 balance quantify carbon pools. current context energy supply uncertainties considering demanding use alternative sources, quantification fruit tree biomass in abandoned question great interest. this study, above orange trees was estimated using parameters calculated from 3D points...

Dunes and beaches are highly dynamic interrelated spaces of great environmental social interest. The sediment displacement occurs at diverse temporal scales, both alongshore cross-shore, with an important interaction the foredune. Remote sensing techniques beginning to provide approaches for monitoring different spatial scales. While two-dimensional characterisation is possible high accuracy by defining changes in waterline position from optical satellite imagery, a holistic view sedimentary...

The aim of this study is to analyze methodologies based on airborne LiDAR (light detection and ranging) technology low pulse density points (0.5 m−2) for height volume quantification olive trees in Viver (Spain). A total 29 circular plots, each with a radius 20 m, were sampled their volumes heights obtained by dendrometric methods. For these estimations, several statistics derived from data calculated plot. Regression models used predict height. results showed good performance estimating (R2...

The development of new tools based on remote sensing data in agriculture contributes to cost reduction, increased production, and greater profitability. Airborne LiDAR (Light Detection Ranging) show a significant potential for geometrically characterizing tree plantations. This study aims develop methodology extract walnut (Juglans regia L.) crowns under leafless conditions using airborne data. An original approach the alpha-shape algorithm, identification local maxima, k-means algorithms is...

Agricultural land abandonment (ALA) is becoming a growing phenomenon around the world that needs to be monitored and quantified. A massive of citrus orchards has been experienced in last years Comunitat Valenciana (CV) region (Spain) driven by different socio-economic factors. Therefore, developing time cost-efficient methods for monitoring ALA priority. Citrus are perennial crop trees which make have low spectral variation during year. In CV region, they planted relatively small parcels,...

Abstract In this work we studied the height and coverage of shrub vegetation using light detection ranging (LIDAR) data. The maximum dominant heights were measured in field 83 stands a 0.5-m radius, data compared with figures for obtained from LIDAR concentric areas different radii. minimum root mean square error (RMSE) between measurements was found radii 1.5 2.25 m, RMSE being 0.26 m. When slopes are low an accurate digital terrain model is obtained, it shown that radius can be reduced....

Agricultural land abandonment is an increasing problem in Europe. The Comunitat Valenciana Region (Spain) one of the most important citrus producers Europe suffering this problem. This region characterizes by small sized plots and high spatial fragmentation which makes necessary to use Very High-Resolution images detect abandoned plots. In paper spectral Gray Level Co-Occurrence Matrix (GLCM)-based textural information derived from Normalized Difference Vegetation Index (NDVI) are used map...