Global Land Cover (GLC) information is fundamental for environmental change studies, land resource management, sustainable development, and many other societal benefits. Although GLC data exists at spatial resolutions of 300 m 1000 m, a 30 resolution mapping approach now feasible option the next generation products. Since most significant human impacts on system can be captured this scale, number researchers are focusing such This paper reports operational used in project, which aims to...

Abstract As a topographic modelling technique, structure‐from‐motion (SfM) photogrammetry combines the utility of digital with flexibility and ease use derived from multi‐view computer vision methods. In conjunction rapidly increasing availability imagery, particularly unmanned aerial vehicles, SfM represents powerful tool for geomorphological research. However, to fully realize this potential, its application must be carefully underpinned by photogrammetric considerations, surveys should...

Cultural Heritage (CH) is recognised as being of historical, social, and anthropological value considered an enabler sustainable development. As a result, it included in the United Nations’ Sustainable Development Goals (SDGs) 11 8. SDG 11.4 emphasises protection safeguarding heritage, 8.9 aims to promote tourism that creates jobs promotes local culture products. This paper briefly reviews geoinformatics technologies photogrammetry, remote sensing, spatial information science their...

Vehicle speed is a key variable for the calibration, validation, and improvement of traffic emission air quality models. Lidar technologies have significant potential in vehicle tracking by scanning surroundings 3-D frequently, hence can be used as flow monitoring sensors accurate counting estimation. However, characteristics lidar-based estimation, such attainable accuracy, remain open questions. This research therefore proposes framework from roadside lidar to detect track vehicles with...

Abstract The use of Global Positioning System ( GPS ) precise point positioning PPP on a fixed‐wing unmanned aerial vehicle UAV is demonstrated for photogrammetric mapping at accuracies centimetres in planimetry and about decimetre height, from flights 25 to 30 minutes duration. estimated camera station positions are used constrain estimates image the bundle block adjustment, as with relative positioning. alleviates all spatial operating constraints associated installation ground control...

Cost-effective on-demand computing resources can help to process the increasing number of large, diverse datasets generated from smart internet-enabled technology, such as sensors, CCTV cameras, and mobile devices, with high temporal resolution. Category 1 emergency services (Ambulance, Fire Rescue, Police) benefit access (near) real-time traffic- weather data coordinate multiple services, reassessing a route on transport network affected by flooding or road incidents. However, there is...

Validation studies of global Digital Elevation Models (DEMs) in the existing literature are limited by diversity and spread landscapes, terrain types considered sparseness groundtruth. Moreover, there knowledge gaps on accuracy variations rugged complex previous have often not relied robust internal external validation measures. Thus, is still only partial understanding perspective reliability adequacy DEMs for several applications. In this study, we utilize a dense LiDAR groundtruth to...

Abstract This paper reports research carried out to develop a novel method of monitoring coastal change, using an approach based on digital elevation models (DEMs). In recent years change has become increasingly important issue, particularly for landforms and areas that are potentially hazardous human life assets. The zone is currently sensitive policy area those involved with its management, as phenomena such erosion landslides affect the stability both natural built environment. With legal...

Abstract. Temporal analyses and multi-temporal 3D reconstruction are fundamental for the preservation maintenance of all forms Cultural Heritage (CH) basis decisions related to interventions promotion. Introducing fourth dimension time into three-dimensional geometric modelling real data allows creation a representation site. In this way, scholars from various disciplines (surveyors, geologists, archaeologists, architects, philologists, etc.) provided with new set tools working methods...

Abstract. Consumer-grade Unmanned Aircraft Systems (UAS), and particularly Small (SUA) weighing less than 20 kg, have recently become very attractive for photogrammetric data acquisition across a wide range of applications. Compared to other more expensive remote-sensing technology, DJI Phantom series SUA provide trade-off between cost, sensor quality, functionality portability. Because the significant interest in such systems, rigorous accuracy assessment metric performance is crucial. This...

Abstract. Unmanned aerial vehicles (UAVs) can provide observations of high spatio-temporal resolution to enable operational landslide monitoring. In this research, the construction digital elevation models (DEMs) and orthomosaics from UAV imagery is achieved using structure-from-motion (SfM) photogrammetric procedures. The study examines additional value that morphological attribute openness, amongst others, surface deformation analysis. Image-cross-correlation functions DEM subtraction...

The mosaicking of Unmanned Aerial Vehicle (UAV) imagery usually requires information from additional sensors, such as Global Position System (GPS) and Inertial Measurement Unit (IMU), to facilitate direct orientation, or 3D reconstruction approaches (e.g., structure-from-motion) recover the camera poses. In this paper, we propose a novel method for UAV in which neither nor indirect orientation procedures are required. Inspired by embedded deformation model, widely used non-rigid mesh present...

Climate change is increasing the risk of glacial lake outburst floods (GLOFs) in many world's most vulnerable and high mountain regions. Simultaneously, remote sensing technologies now facilitate continuous monitoring evolution around globe, although accurate reliable automated mapping from satellite data remains challenging. In this study, a Second-order Attention Network (SoAN) devised for segmentation lakes imagery. particular, novel Module (SoAM) proposed to capture long-range spatial...

Abstract Despite the relatively high cost of airborne lidar‐derived digital elevation models (DEMs), such products are usually presented without a satisfactory associated estimate accuracy. For most part, DEM accuracy estimates typically provided by comparing lidar heights against finite sample check point coordinates from an independent source higher accuracy, supposing normal distribution derived height differences or errors. This paper proposes new methodology to assess vertical DEMs...

From approximately 400 glaciers of the western Antarctic Peninsula, no in situ records mass balance exist and their recent contribution to sea level is consequently poorly constrained. We seek address this shortcoming by using surface elevations from USGS BAS airborne (1948–2005) ASTER spaceborne (2001–2010) stereo imagery, combined a rigorous semi‐automated registration approach, determine multi‐decadal glacier elevation changes Peninsula for 12 glaciers. All observed show near‐frontal...

Despite being of paramount importance to humanity, tangible cultural heritage is often at risk from natural and anthropogenic threats worldwide. As a result, discovery conservation remain huge challenge for both developed developing countries, with sites inadequately cared for, be it due lack resources, nonrecognition the value by local people or authorities, human conflict, some other reason. This paper presents an online geo-crowdsourcing system, termed Share Our Cultural Heritage (SOCH),...

Abstract Landslides represent hazardous phenomena, often with significant implications. Monitoring landslides time‐series surface observations can indicate failure. Unmanned aerial vehicles (UAVs) employing compact digital cameras, in conjunction structure‐from‐motion (SfM) and multi‐view stereo (MVS) image processing approaches, have become commonplace the geoscience research community. These methods offer relatively low‐cost, flexible solutions for many geomorphological monitoring...

Landslides are hazardous events with often disastrous consequences. Monitoring landslides observations of high spatio-temporal resolution can help mitigate such hazards. Mini unmanned aerial vehicles (UAVs) complemented by structure-from-motion (SfM) photogrammetry and modern per-pixel image matching algorithms deliver a time-series landslide elevation models in an automated inexpensive way. This research investigates the potential mini UAV, equipped Panasonic Lumix DMC-LX5 compact camera,...

There has been a rapid evolution of tree-based ensemble algorithms which have outperformed deep learning in several studies, thus emerging as competitive solution for many applications. In this study, ten (random forest, bagging meta-estimator, adaptive boosting (AdaBoost), gradient machine (GBM), extreme (XGBoost), light (LightGBM), histogram-based GBM, categorical (CatBoost), natural (NGBoost), and the regularised greedy forest (RGF)) were comparatively evaluated enhancement Copernicus...

Cities are complicated entities with multiple stakeholders operating data infrastructures complying to different regulations and standards in heterogeneous environments; this can be challenging when developing a smart city platform support cross-sector urban management. Recent advances Internet-of-Things technology combine real-time streams, such as weather sensors, traffic lights, cameras, parking that supports decision-making enables new collaborations knowledge production. This paper uses...