In the frame of project FoGLIE (Fruition Goods and Landscape in Interactive Environment), UAS were used to survey a park area its less accessible zones, for scenic stereoscopic videos, 3D modeling vegetation monitoring. For this last application, specifically, through acquisition very high resolution images taken with two UAS-borne compact cameras (RGB NIR), DSM small vegetated corresponding orthoimages produced co-registered. Planimetric height accuracies block adjustments orthophotos are...

In this article, we propose an automatic procedure for classification of UAV imagery to map weed presence in rice paddies at early stages the growing cycle. The objective was produce a (common weeds and cover crop remnants) support variable rate technologies site-specific management. A multi-spectral ortho-mosaic, derived from images acquired by Parrot Sequoia sensor mounted on quadcopter, classified through unsupervised clustering algorithm; cluster labelling into 'weed'/'no weed' classes...

Italian dry-stone wall terracing represents one of the most iconic features agricultural landscapes across Europe, with sites listed among UNESCO World Heritage Sites and FAO Globally Important Agricultural Systems (GIAHS). The analysis microclimate modifications induced by alterations hillslope walls is particular interest for valuation benefits drawbacks terraces cultivation, a global land management technique. aim this paper to perform thermal characterization terraced vineyard in Chianti...

In a plane-channel displacement flow of two visco-plastic fluids, it is possible for there to be static residual layer the displaced fluid left stuck walls channel. This phenomenon provides an idealized model formation wet micro-annulus , due poor mud removal, during primary cementing oil well. Using lubrication approximation, shown that sufficient conditions non-existence wall can computed simply in terms dimensionless parameters: Bingham number displacing ( B 1 ) and ratio yield stresses...

Abstract. UAVs systems represent a flexible technology able to collect big amount of high resolution information, both for metric and interpretation uses. In the frame experimental tests carried out at Dept. ICA Politecnico di Milano validate vector-sensor assess accuracies images acquired by UAVs, block photos taken fixed wing system is triangulated with several software. The test field rural area included in an Italian Park ("Parco Adda Nord"), useful study flight imagery performances on...

This paper focuses on the use of ultra-high resolution Unmanned Aircraft Systems (UAS) imagery to classify tree species. Multispectral surveys were performed a plant nursery produce Digital Surface Models and orthophotos with ground sample distance equal 0.01 m. Different combinations multispectral images, multi-temporal data, texture measures employed improve classification. The Grey Level Co-occurrence Matrix was used generate images different window sizes procedures for optimal features...

Abstract. New sensors mounted on UAV and optimal procedures for survey, data acquisition analysis are continuously developed tested applications in precision farming. Procedures to integrate multispectral aerial about soil crop ground-based proximal geophysical a recent research topic aimed delineate homogeneous zones the management of agricultural inputs (i.e., water, nutrients). Multispectral multitemporal orthomosaics were produced over test field (a 100 m x 200 plot within maize field),...

This paper is about the geometric and radiometric consistency of diverse overlapping datasets acquired with Parrot Sequoia camera. The multispectral imagery were above agricultural fields in Northern Italy calibration images taken before each flight. Processing was performed Pix4Dmapper suite following a single-block approach: different flight missions processed as many projects, where block orientation strategies adopted compared. Results assessed terms areas. evaluated point cloud distance...

Climate change and competition among water users are increasingly leading to a reduction of availability for irrigation; at the same time, traditionally non-irrigated crops require irrigation achieve high quality standards. In context precision agriculture, particular attention is given optimization on-farm management, based on knowledge within-field variability crop soil properties, increase yield ensure an efficient use. Unmanned Aerial Vehicle (UAV) imagery used in agriculture monitor...

Abstract. The use of aerial imagery acquired by Unmanned Aerial Vehicles (UAVs) is scheduled within the FoGLIE project (Fruition Goods Landscape in Interactive Environment): it starts from need to enhance natural, artistic and cultural heritage, produce a better usability employing audiovisual movable systems 3D reconstruction improve monitoring procedures, using new media for integrating fruition phase with preservation ones. pilot focus on test area, Parco Adda Nord, which encloses various...

New sensors mounted on UAV and optimal procedures for survey, data acquisition analysis are continuously developed tested applications in precision farming. Procedures to integrate multispectral aerial about soil crop ground-based proximal geophysical a recent research topic aimed delineate homogeneous zones the management of agricultural inputs (i.e., water, nutrients). Multispectral multitemporal orthomosaics were produced over test field (a 100 m x 200 plot within maize field), map...

Climate issues are nowadays one of the most pressing societal challenges, with cities being identified among landmarks for climate change. This study investigates effect urban land cover composition on a relevant climate-related variable, i.e., air temperature. The analysis exploits different big geo-data sources, namely high-resolution satellite imagery and in-situ temperature observations, using city Milan (Northern Italy) as case study. Satellite from Landsat 8, Sentinel-2, RapidEye...

Satellite data provide the spatial distributions of burned areas worldwide; assessing their accuracy and comparing area estimates from different products is relevant to gain insights into reliability sources error. We compared BA maps derived multispectral satellite with resolutions, ranging Planet (3 m) Sentinel-2 (S2, 10–20 m), Sentinel-3 (S3, 300 MODIS (250–500 over selected African sites for year 2019. S2 images were processed derive a supervised Random Forest algorithm used assess...

Abstract. The International Service for the Geoid (ISG, https://www.isgeoid.polimi.it/, last access: 31 March 2021) provides free access to a dedicated and comprehensive repository of geoid models through its website. In archive, both latest releases most important well-known models, as well less recent or known ones, are freely available, giving users wide range possible applications perform analyses on evolution computation research field. ISG is an official service Association Geodesy...

How accurately do Sentinel-2 (S2) images describe vine row spatial variability? Can they produce effective management zones (MZs) for precision viticulture? S2 and UAV datasets acquired over two years different drip-irrigated vineyards in the Colli Morenici region (northern Italy) were used to assess actual need use UAV-NDVI maps instead of obtain MZ maps. First, correlation between values was investigated. Secondly, contingency matrices dichotomous tables (considering UAV-MZ as a reference)...

Sentinel-2 (S2) multi-spectral instrument (MSI) images are used in an automated approach built on fuzzy set theory and a region growing (RG) algorithm to identify areas affected by fires Mediterranean regions. S2 spectral bands their post- pre-fire date (Δpost-pre) difference interpreted as evidence of burn through soft constraints membership functions defined from statistics burned/unburned training regions; brought the (partial evidence) is integrated using ordered weighted averaging (OWA)...

Over the last two decades, advancements in airborne imaging spectroscopy have prompted exploitation of lightweight drones for detailed vegetation assessment at unprecedented resolutions. Yet, surface reflectance anisotropy and view-illumination effects may bias spectra extracted from push-broom scanners derived spectral indices (SIs), particularly over aquatic vegetation, thus impacting retrieval biophysical biochemical parameters. In this study, impact illumination conditions (overcast...

Soil electrical conductivity (EC) maps obtained through proximal soil sensing (i.e., geophysical data) are usually considered to delineate homogeneous site-specific management zones (SSMZ), used in Precision Agriculture improve crop production. The recent literature recommends the integration of monitoring data with information acquired multispectral (VIS-NIR) imagery. In non-flat areas, where topography can influence water conditions and consequently status yield, considering together may...

The paper proposes a fully automatic algorithm approach to map burned areas from remote sensing characterized by human interpretable mapping criteria and explainable results. This is partially knowledge-driven data-driven. It exploits active fire points train the fusion function of factors deemed influential in determining evidence conditions reflectance values multispectral Sentinel-2 (S2) data. used compute seeds (burned pixels) that are adaptively expanded applying Region Growing (RG)...

We study steady miscible displacements of two visco-plastic fluids in a long plane channel. If the yield stress displacing fluid is less than that displaced fluid, uniform static residual layers can be left attached to walls channel as displacement front propagates steadily. investigate this finger propagation and problem width selection. The fully two-dimensional, with separated by sharp interface. For given fixed interface, chosen from wide class physically sensible interface shapes, we...