This work is aimed at the environmental remote sensing community that uses UAV optical frame imagery in combination with airborne and satellite data. Taking into account economic costs involved time investment, we evaluated fit-for-purpose accuracy of four positioning methods UAV-acquired imagery: 1) direct georeferencing using onboard raw GNSS (GNSSNAV) data, 2) Post-Processed Kinematic single-frequency carrier-phase without situ ground support (PPK1), 3) double-frequency data (PPK2), 4)...

Open-pit mine is still an unavoidable activity but can become unsustainable without the restoration of degraded sites. Monitoring after extractive activities a legal requirement for companies and public administrations in many countries, involving financial provisions environmental liabilities. The objective this contribution to present rigorous, low-cost easy-to-use application Unmanned Aerial Systems (UAS) supporting opencast mining monitoring, complementing inspections with very high (<10...

The main objective of this research is to apply unmanned aerial system (UAS) data in synergy with field spectroradiometry for the accurate radiometric correction Landsat-8 (L8) and Sentinel-2 (S2) imagery. central hypothesis that imagery acquired multispectral UAS sensors are well calibrated highly measurements can fill scale gap between satellite conventional situ measurements; be possible by sampling a larger area, including difficult-to-access land covers, less time while simultaneously...

The use of Pseudoinvariant Areas (PIA) makes it possible to carry out a reasonably robust and automatic radiometric correction for long time series remote sensing imagery, as shown in previous studies large data sets Landsat MSS, TM, ETM+ imagery. In addition, they can be employed obtain more coherence among from different sensors. present work validates the PIA pairs images acquired almost simultaneously (Landsat-7 (ETM+) or Landsat-8 (OLI) Sentinel-2A (MSI)). Four region SW Spain,...

Unmanned Aerial Systems, or drones, are very helpful tools for managing open-pit mining operations and developing ecological restoration activities. This article presents a method identifying water erosion processes in active quarries by means of drone imagery remote sensing, the absence pre-existing mapping comparison. A Digital Elevation Model (DEM) with spatial resolution (SR) &gt;10 cm an orthophoto SR &gt;2.5 were generated from images captured their subsequent photogrammetric...

Mining is an important activity of the primary sector with strong economic and environmental impacts. All over world, governments have made efforts to regulate mine restoration by monitoring assessing evolution mined sites. Our work aims synthesize various remote sensing applications into a single workflow in order obtain cartographic products using Unmanned Aerial Systems (UAS), not only for management, but also as way mining whole. The performs image processing terrain analysis...

Mining is an essential activity that supports the provision of raw materials. However, extraction process mining has deep environmental impacts. For this reason, restoration actions are mandatory, and monitoring a key step in ensuring renaturalization affected areas. Erosion processes one main problems affect restored areas extractive activities due to frequently steep slopes difficulty revegetating technosols constructed using debris. This research aims develop method for determining soil...

In the field of mine engineering, a cross-section topographic survey is usually carried out to perform volumetric calculations earth movement in order restore areas affected by extractive activities. Nowadays, Remote Sensing and Geographical Information System (GIS) technologies make it possible same work using indirect methods such as images obtained photogrammetric flights. this context, Unmanned Aerial Systems (UAS) are considered very convenient option develop mapping projects short...

The Olympic Games are a sporting event and catalyst for urban development in the host city. In this study, we utilized remote sensing GIS techniques to examine impact of infrastructure on surface temperature areas. Using Landsat Series Collection 2 Tier 1 Level data, cloud computing, Google Earth Engine (GEE) methods, study examines effects various facility planning different historical moments location typologies: monocentric, polycentric, peripheric clustered ring. GEE code applies from...

This study provides an operational solution to directly connect drones internet by means of 4G telecommunications and exploit drone acquired data, including telemetry imagery but focusing on video transmission. The novelty this work is the application connection link a data server where (in case monitor road traffic) linear infrastructures) are processed. However, framework appliable any other monitoring purpose goal send real-time or headquarters processed, analyzed, exploited. We describe...

La gestión de las temperaturas, crucial en el contexto cambio climático, ha centrado la atención políticas urbanas, relegando a un segundo plano los espacios periurbanos, como campus universitarios. A través teledetección y del análisis estadístico, artículo examina efectos usos suelo medioambientales comportamiento espacial temperaturas superficiales Universitat Autònoma Barcelona entre 2014 2022. Se identifica una relación directa urbanizados desnudos con anomalías térmicas superiores...

This study focuses on the recovery of information from shadowed pixels in RGB or multispectral imagery sensed unmanned aerial vehicles (UAVs). The proposed technique is based concept that a property characterizing given surface its spectral reflectance, i.e., ratio between flux reflected by and radiant received surface, this usually similar under direct-plus-diffuse irradiance diffuse when Lambertian behavior can be assumed. Scene-dependent elements, such as trees, shrubs, man-made...

This work is aimed at the recovery of shadowed pixels in optical imagery acquired from Unmanned Aerial Vehicles (UAV) for environmental purposes. When acquiring with UAV, scene dependent elements as trees, man-made constructions or terrain morphology can block sun beam light (direct irradiance) and to project shadows, causing surface only receive diffuse (diffuse irradiance). We present a method reduce effects shadows recover information based on in-situ spectral reflectance measurements....

RESUMENEn Argentina las áreas forestales planificadas en parcelas con fines comerciales alcanzan 1.2 millones de hectáreas.En este estudio se plantea si la clasificación automática (CA) imágenes los sensores MSI (MultiSpectral Imager) Sentinel-2 (S2) y OLI (Operational Land Landsat-8 (L8) puede ser suficientemente exacta fiable para identificar dos tipos plantaciones más comunes el departamento Concordia (Entre Ríos, Argentina), correspondientes a Eucalyptus Pinus, así como también sus...

Accurate mapping of open-pit mine areas is a prerequisite for the efficient resource management extractive companies, but also detailed requirement public administrations, especially regarding monitoring restored areas. In previous works, our team has contributed to better knowledge use Unmanned Aerial Systems (UAS) technologies soil/vegetation restoration purposes, and in this work, we present novel protocol support combined interests both private companies governmental agencies. We...

While open-pit mining activities represent one of the human-derived most impactful land cover changes, these changes and linked restoration processes can be challenging to assess. This article presents a reproducible methodology carried out with cloud processing satellite images (Google Earth Engine (GEE)) evaluate evolution their in Mediterranean landscape. For this purpose, calculation normalized differential vegetation index (NDVI) was used obtain quantitative parameter monitor presence...

The popularization of cloud computing platforms, combined with the availability large amounts open access remote sensing data, has increased processing capacities land use and cover mapping. At same time, this development can also lead to a reduced performance procedures if these tools are not optimally used. objective paper, for first is evaluate key variables mapping obtained from optical radar data feed deep learning classifiers. Therefore, three different regions world landscapes were...

The Olympic Games are a sporting event and catalyst for urban development in their host city. In this study, we utilized remote sensing GIS techniques to examine the impact of infrastructure on surface temperature areas. Using Landsat Series Collection 2 Tier 1 Level data cloud computing provided by Google Earth Engine (GEE), study examines effects various forms facility planning different historical moments location typologies, as follows: monocentric, polycentric, peripheric clustered...

RESUMENEl objetivo global del trabajo consiste en exponer y aplicar las metodologías necesarias para obtener información útil procesos de modelaciones hidráulicas fluviales, a partir datos captados con vehículos aéreos no tripulados (UAV).Utilizando imágenes obtenidas dron ala fija un sensor una resolución espectral centrada el visible (RGB) espacial 15 cm, se realizan clasificaciones cubiertas suelo mediante diferentes métodos clasificación (mixta, máxima verosimilitud, kNN), obteniendo...

L'objectiu d'aquest treball es fer una diagnosi de l'incendi ocorregut l'any 1998 a la Catalunya Central, partir l'analisi dels canvis en les cobertes del sol diferents escales i seva relacio amb els Grans Incendis Forestals (GIF). Metodologicament, l'estudi combina quantitativa (cobertes sol) qualitativa (entrevistes dos propietaris finques afectades). L'analisi s'ha realitzat escala d'incendi finca, periodes 1956-2009, 1956-1993 1993-2009. Els resultats mostren tendencia transicio forestal...