Mapping standing dead trees, especially, in natural forests is very important for evaluation of the forest's health status, and its capability storing Carbon, conservation biodiversity. Apparently, have larger areas which renders classical field surveying method challenging, time-consuming, labor-intensive, unsustainable. Thus, effective forest management, there need an automated approach that would be cost-effective. With advent Machine Learning, Deep Learning has proven to successfully...

Few studies have used crustal displacements sensed by the Global Positioning System (GPS) to assess terrestrial water storage (TWS), which causes loadings. Furthermore, no study has investigated feasibility of using GPS image TWS over South America (SA), contains world’s driest (Atacama Desert) and wettest (Amazon Basin) regions. This work presents a resolution analysis an inversion data SA. Firstly, synthetic experiments were verify spatial resolutions GPS-imaged examine resolving...

Abstract This research evaluated the influence of road geometric attributes on crash frequency. Survey data route was collected and used to design 15km using AutoCAD civil 3D. is according judgment survey team in terms alignment conditions; serves as control for study. The geometry altered by increasing curves' radii 15 30m yield alternative options 2 3 respectively. resets other elements such superelevation slopes that best fit new radii. three versions are modeled AIMSUN NEXT...

Understanding forest health is of great importance for the conservation integrity ecosystems. The monitoring is, therefore, indispensable long-term forests and their sustainable management. In this regard, evaluating amount quality dead wood utmost interest as they are favorable indicators biodiversity. Apparently, remote sensing-based Machine Learning (ML) techniques have proven to be more efficient with unprecedented accuracy in inventory. However, application these still its infancy...

Abstract Surface structure and chemical properties of adsorbents are important factors required to understand the mechanism adsorption. The purpose this study was produce hydrochars from biomass using hydrothermal carbonisation (HTC) analyse their sorption capacities. used in were coco-peat (CP), coconut shell (CS), eggshell (ES), rice husk (RH) lemon peel (LP). operating conditions for HTC 200 °C 20 h residence time. characterisation methods consisted Scanning Electron Microscopy (SEM),...

ABSTRACT The digital elevation model (DEM) is one of the most critical sources terrain elevations, which are essential in various geoscience applications. Most these applications need precise available at a high cost. Thus, like Shuttle Radar Topography Mission (SRTM) DEM frequently accessible to all users but with low accuracy. Consequently, many studies have tried improve accuracy DEMs acquired from free sources. Importantly, using SRTM not recommended for an area that partly contains...

Abstract Nowadays, the global navigation satellite system (GNSS) positioning techniques based on International GNSS Service (IGS) products are extensively used for various precise applications. However, specific conditions such as dual-frequency observations and final IGS required. Consequently, absence of data using single-frequency will degrade these techniques’ accuracy. In this paper, two algorithms through separated stages formulated improving by one receiver broadcast ephemerides in...

Abstract. Forests play key roles in climate regulation and essential environmental services for living organisms. This is why forests are the central focus of United Nations (UN) Sustainable Development Goal (SDG 15). Thus, effective forest management critical sustainability preservation. Remote sensing advancements have improved mensuration leveraging cost time, contrary to field surveying approach. Often, data required validate remotely sensed results. However, circumstances may render...

Effective forest management is essential for mitigating climate change effects. This why understanding growth dynamics critical its sustainable management. Thus, characterizing plot deadwood levels vital dynamics, and assessments of biomass, carbon stock, biodiversity. For the first time, this study used leaf area index (LAI) L-moments to characterize model in Bavarian Forest National Park from airborne laser scanning (ALS) data. proposes methods that can be tested forests, especially those...

Understanding forest health is of great importance for the conservation integrity ecosystems. In this regard, evaluating amount and quality dead wood utmost interest as they are favorable indicators biodiversity. Apparently, remote sensing-based machine learning techniques have proven to be more efficient sustainable with unprecedented accuracy in inventory. This study, first time, automatically categorizing individual coniferous trees (Norway spruce) into five decay stages (live, declining,...

This paper demonstrates the application of Markov chain model with non-stationary transition probabilities to study data Reservoir elevation Shiroro dam in dry and raining seasons.The result indicates an optimal 40% 49% at equilibrium for season wet respectively.The confirms reality on ground that higher reservoir is obtained more during season.Conversely, lower experienced largely season.The variation directly affects hydro electric power generation availability other resources.Markov could...

Abstract. In the last two decades, Light detection and ranging (LiDAR) has been widely employed in forestry applications. Individual tree segmentation is essential to forest management because it a prerequisite reconstruction biomass estimation. This paper introduces general framework extract individual trees from LiDAR point cloud based on graph link prediction problem. First, an undirected generated K-nearest neighbors (KNN). Then, this used train convolutional autoencoder that extracts...

This paper presents the application of Markov chain model with non-stationary transition probabilities to study monthly data power distribution in Niger state wet, Dry-Hot and Hamatten/Dry- Hot seasons. The result indicates an optimal over 150,000MWwith probability 0.49 during wet season, 0.25 hot-dry season 0.19 hot-cold respectively. variation directly affects electricity consumers. could be used as a predictive tool for determining pattern at different seasons Study area. These...

The Jessu Formation is one of the marine Cretaceous sediments in Yola Sub-basin Northern Benue Trough, NE Nigeria. Lithofacies studies was carried out on exposed at Dukul and Cham streams outcrops, order to identify facies, establish facies association re-construct paleodepositional environment. Ten (10) were identified bases lithology, grain size, sedimentary structures degree bioturbation. These form four (4) associations, namely: FA-1 (offshore marine), FA-2 (lower shoreface), FA-3...

Abstract Background: Terminalia avicennioides is a medicinal plant used traditionally in Nigeria to treat numerous ailments and disorders which include coughs, purgative emetic. Objective: This study scientifically evaluated the probable mechanism of anti-emetic activity methanol root extract Guill. & Perr. on histaminergic serotonergic receptors isolated rabbit ileum. Methodology: Fresh bark was extracted using antiemetic effect by experimenting small segment (3 cm) ileum, data capsule...