The overall geometry of sedimentary basins is driven by a complex interplay between subsidence, water-level variations, sedimentation rates and basin-margin topography. Seaward movement of the shoreline is driven by either high sediment input or by base-level drop. The influence of the specific driving mechanisms is often overwritten by subsequent burial and compaction effects or it is below the resolution

ABSTRACT The red-edge bands of Sentinel-2 allow for a greater diversity of spectral Vegetation Indices (VIs) to be calculated and used for vegetation characterization. We evaluated the utility of a selection of 40 VIs to derive Leaf Area Index (LAI), fraction of Absorbed Photosynthetically Active Radiation (fAPAR) and fraction of vegetation Cover (fCover) of winter wheat crop using regression method

The Carnian Pluvial Episode (CPE) was a global environmental change and biotic crisis that occurred during the Carnian (Late Triassic). The climate during the CPE was characterized by a short-lived period of extreme rainfall, and an extinction of marine taxa is known to have occurred during the latest Julian (i.e. Early Carnian). Although these events are considered to have been caused by the Wrangellia

Limited studies, particularly in the low-latitudes, exist that monitor cave ventilation, an important process dictating cave geochemical properties. To investigate cave ventilation, we present multi-year monitoring results, including observations of cave-air CO2, cave-air temperature, and cave-air relative humidity, from three Brazilian caves: Paraíso (4.07°S, 55.45°W), Tamboril (16.19°S, 46.59°W)

Soil salinization is a world-wide phenomenon that threatens ecological environment and agricultural production. Modeling soil salt content (SSC) is a big challenge because of its huge spatiotemporal variation and the interference of soil water content (SWC) and soil salt types. Prior studies showed more interest in the use of hyperspectral reflectance, while few studies focused on thermal infrared

According to the agreement of border sharing between India and China, China was supposed to be posted till finger 8 position and India till finger 4 position and between the finger 8 and finger, 4 was considered no man’s land in which only patrolling is allowed. But in recent days, chinese has crossed finger 8 position and has set up its camp near finger 4 position means in no man’s land, therefore

Farmers have more requirements for the completion of cultivations. Remote sensing is a big technology for reducing this requirement. Now, we need an organic spraying system at a low cost. We have two methods, first one neural network algorithm of quantum geographic information system (QGIS) and another one global positioning system (GPS) with drone. This paper describes the analysis of drone remote

The shallow seawater depth inversion based on remote sensing technology is important for water depth detection, which is of considerable significance to marine engineering, shipping, and marine military security. In this study, we took the Taiping Island and its adjacent waters in the South China Sea as a test bed and developed a water depth inversion model on the basis of extreme learning machine

When using Global Navigation Satellite System (GNSS) measurements, Precise Point Positioning with Ambiguity Resolution (PPP-AR) has been a popular substitute for relative positioning in geoscience applications. Compared with the Fractional Cycle Biases (FCB) method, the processing of Integer Recovery Clocks (IRC) products estimate, especially for ambiguity datum fixing, is so complex that its application

In the present comparison, the degrees of equivalence of the measurement standards for vacuum pressures from 3E-4 Pa up to 1 Pa of three NMIs were evaluated by comparison with the measurement standards PTB serving as linking laboratory to the two key comparisons CCM.P-K15 and CCM.P-K4. The three NMIs were IMT, Slovenia, NIMT, Thailand and TUBITAK-UME, Turkey. Two spinning rotor gauges served as transfer

In India, the urban population is likely to be 40% of its total population by the year 2030. In such a scenario, managing urban areas is a challenge for planners in terms of developing sustainable infrastructures and addressing environmental issues. The transitional areas in the surroundings of the peripheral region of large and growing cities are called Desakota. Monitoring of such areas is essential

The land-use/land-cover (LU/LC) information can be extracted through continuous monitoring and observation of the global environment in the field of RS and GIS (remote sensing and geographic information system). With many inventions on satellite technologies, RS plays a crucial role throughout the world, and the researchers had shown their interest in finding the past, present, and future LU/LC information

Pan-sharpening methods are commonly used to synthesize multispectral and panchromatic images. Selecting an appropriate algorithm that maintains the spectral and spatial information content of input images is a challenging task. This review paper investigates a wide range of algorithms, including 41 methods. For this purpose, the methods were categorized as Component Substitution (CS-based), Multi-Resolution

Wetlands provide critical services such as protection against flooding and wave action, water quality maintenance, habitat provision, food products, etc. Ashtamudi is the second-largest wetland ecosystem in Kerala state, and it provides numerous ecosystem services (ES). This study has analysed the economic value and current status of 11 important ES provided by this wetland. The considered services

Paired records of δ13Ccarb and δ13Corg across the Llandovery-Wenlock boundary demonstrate asynchronous behavior during the onset of the Ireviken Biogeochemical Event (IBE). The extremely high-resolution data produced from the Altajme Core, drilled from Gotland, Sweden, capture a negative excursion in δ13Corg during the initiation of the Ireviken Extinction Event (IEE) and prior to the onset of the

Incorporation of hydrogen as structural hydroxyl (commonly referred to as water) in nominally anhydrous mantle minerals is known for the ‘hydrolytic weakening’ effect, which decreases the strength and electrical resistivity of the rock. Recent models have provided means of calculating rheological properties from geochemical data of upper mantle xenoliths. In the Carpathian-Pannonian region, upper mantle

Groundwater

Accurate soybean yield estimates are important for establishing effective agricultural and soybean trade policies aimed at ensuring food security in China. Unmanned aerial vehicles (UAV) have been used to collect hyperspectral remote sensing data for soybean yield inversion owing to the flexibility, efficiency, and low cost of the technology. Traditional yield inversion algorithms are based on physiological

UAV technology when aided with the unique data acquisition strategies, preprocessing techniques and analytical abilities of an established domain of remote sensing provide more affordable, customized and user-friendly option of “UAV-Remote Sensing”. This extended branch of remote sensing flourishes in both the mapping and measurement, if implemented in the ordered fashion to ensure remote sensing grade

Monitoring the spatio-temporal variation in soil moisture content (SMC) of the surface soil layer is essential for agriculture and water resource management activities, especially in regions where the socio-economic condition and livelihood depend upon agriculture and allied sectors. In the present study, we have compared different machine learning (ML) and linear regression models to estimate the

The Xiong'an New Area was established by the Chinese government on 1 April 2017 as a new district in the Hebei Province, and soon after its establishment, investigations on the waterbodies of the district began to initiate governance. In this study, data from 105 Sentinel-2 cloudless images for the period April 2016–September 2019 were analysed to understand the changes in the concentrations of chlorophyll-a

Dimensionality reduction strategies can be broadly categorized as band selection and feature extraction. Researchers and analysts from the remote sensing community give greater preference to band selection over feature extraction as the latter modifies the original reflectance values of hyperspectral data, making it difficult to understand the behavior of the materials in terms of their reflectance

In remote sensing images, domain adaptation (DA) deals with the regions where labeling information is unknown. Typically, hand-driven features for learning a common distribution among known and unknown regions have been extensively exploited to perform the classification task in hyperspectral images with the aid of state-of-the-art machine learning algorithms. Under limited training samples and using

The quality of the Soil Moisture and Ocean Salinity (SMOS) sea surface salinity (SSS) measurements has been noticeably improved in the past years. However, for some applications, there are still some limitations in the use of the Level-2 ocean salinity product. First, the SSS measurements are still affected by a latitudinal and seasonal bias. Second, the high standard deviation of the SSS error could

Deformation congruence models form the basis for conventional deformation analysis (CDA). In geometrical sense, these models connect an epochal object states—represented by its characteristic points—at stable/congruent points to disclose possible deformations. To this day, the deformation congruence models are usually specified using the global congruence test (GCT) procedure which, however, has a

Conodont ecology of the Early Triassic Smithian–Spathian transition is still poorly understood. Here we use oxygen isotope ratios of monogeneric conodonts from Omani samples to reveal the differences of oxygen isotopic composition between different taxa. Oxygen isotope analyses from Oman reveal that Neogondolella inhabited a deeper part of the water column relative to neospathodids and Icriospathodus

ABSTRACT In the present communication, using cloud-type distribution derived from CloudSat observations during the years 2006–2010 and vertical structure of LH derived from Tropical Rain Measuring Mission (TRMM) observations during the same period over the Indian summer monsoon (ISM) region, an attempt is made to relate the both. First, the regions where particular type of clouds forms predominantly

ABSTRACT Google Earth Engine (GEE) provides a convenient platform for applications based on optical satellite imagery of large areas. With such data sets, the detection of cloud is often a necessary prerequisite step. Recently, deep learning-based cloud detection methods have shown their potential for cloud detection but they can only be applied locally, leading to inefficient data downloading time

Abstract The tightly coupled GNSS precise point positioning (PPP) and inertial navigation system (INS) can provide high-precision position, velocity and attitude information. The coupled system utilizes single receiver, which is particularly suitable for the environment without reference station, such as marine survey. In the former works, the integer ambiguity resolution of PPP/INS in terrestrial

Satellite data are making revolutionary changes in the field of archaeology, and nowadays they have been widely used by the scientific community for regular mapping and monitoring of cultural heritage sites. The development of synthetic aperture radar (SAR) sensors helps in monitoring the heritage site with higher accuracy. This study uses the Persistent Scatter Interferometric SAR (PSInSAR), which

Classification of remotely sensed imagery with the integration of spatial context should be a constructive way of improved accuracy in image classification. An efficient spatial–spectral classification approach with colorimetric edge preservation of spatial–spectral modeling is processed. This research paper consists of three phases first, and the multispectral imagery [Captured by unmanned aerial

Currently, Global Navigation Satellite Systems (GNSS) do not contribute to the realization of origin and scale of combined global terrestrial reference frame (TRF) solutions due to present system design limitations. The future Galileo-like medium Earth orbit (MEO) constellation, called “Kepler”, proposed by the German Aerospace Center DLR, is characterized by a low Earth orbit (LEO) segment and the

The Global Positioning System (GPS) has revolutionized the ability to monitor Earth-system processes, including Earth’s water cycle. Several analysis centers process GPS data to estimate ground-antenna positions at daily temporal resolution. Differences in processing strategies can lead to inconsistencies in coordinate-position estimates and therefore influence the analysis of crustal displacement

A unique architecture of Sentinel-3A and Sentinel-3B satellites includes the shared ultra-stable oscillator (USO) by the DORIS and GPS receivers. This concept enables to apply onboard GPS clock estimates in the DORIS processing substituting the DORIS polynomial clock model by the GPS epoch-wise model, together with a DORIS-specific clock offset. Such an approach is particularly profitable for the mitigation

The Gauss–Legendre quadrature (GLQ) integration is a numerical method to calculate the gravitational field of a tesseroid and the approximation error of the GLQ integration increases as the tesseroid gets closer to the computation point. There are two ways to counterbalance this effect. One way is the subdivision of a tesseroid into smaller units and the other way is to increase the quadrature order

Subsidence and uplift patterns and thermal history of sedimentary basins are controlled by tectonics, mantle dynamics and surface processes, such as erosion, sediment transport and deposition and their links to climatic variations. We use combined thermo-mechanical and stratigraphic numerical modelling techniques to quantify the links between tectonic and surface processes. We aim to assess the thermal

ABSTRACT To combat global deforestation, monitoring forest disturbances at sub-annual scales is a key challenge. For this purpose, the new Planetscope nano-satellite constellation is a game changer, with a revisit time of 1 day and a pixel size of 3-m. We present a near-real time forest disturbance alert system based on PlanetScope imagery: the Thresholding Rewards and Penances algorithm (TRP). It

ABSTRACT Detection and monitoring of vigour decline are certainly useful for forest managers to support future interventions. In this work a new index, from Sentinel-2 retrieved NDVI (Normalized Difference Vegetation Index) time series, is proposed, hereafter called ‘normalized Vegetation Vigour Index (nVVI)’, which is specifically designed to quantify and map tree vigour decline. Results proved that

ABSTRACT Identification and characteristics of Internal Waves (IWs) are widely used in a variety of industries, including shipbuilding, maritime, as well as oil and marine engineering. In this study, IWs have been detected using field measurement and satellite remote sensing in the Persian Gulf during the period 2000–2015. In order to identify the potential areas for IWs after vertical changes in the

Motivated by the need to identify erroneous disparity estimates, various methods for the estimation of aleatoric uncertainty in the context of dense stereo matching have been presented in recent years. Especially, the introduction of deep learning based methods and the accompanying significant improvement in accuracy have greatly increased the popularity of this field. Despite this remarkable development

Infrastructure is one of the main pillars and parameter for India’s overall development. Monitoring and evaluation of the construction activities and concrete elements at early ages is necessary to increase structural stability and durability. There is a need for sophisticated technologies for real-time monitoring of construction activities for visually updating the progress in construction, which

Momentous studies have substantiated semantically enriched 3D city models with numerous urban related applications. Utility networks plays a vital role, hence detailed 3D data modeling of utility networks along with 3D urban space can perform various simulations and analysis on urban planning, utility and asset management. Detailed representation of utility networks is not yet studied till now, as

Robust estimation in the errors-in-variables (EIV) model remains a difficult problem because of the leverage point and the masking effect and swamping effect. In this contribution, a new robust estimator is introduced for the EIV model. This method is a follow-up to least trimmed squares, which is applied to the Gauss–Markov model when only the observation vector contains outliers. We call this estimator

In the investigation and evaluation of geological hazards such as those caused by co-seismic displacement, displacement due to underground mining, landslides, volcanic eruptions, it is important to retrieve the complete three-dimensional ground displacement components. However, both conventional D-InSAR (differential synthetic aperture radar interferometry) and MT-InSAR (multi-temporal InSAR) can only

The very low-degree Earth’s gravity coefficients, associated with the largest-scale mass redistribution in the Earth’s fluid envelope (atmosphere, oceans and continental hydrology), are the most poorly known. In particular, the first three degree geopotential terms are important, as they relate to intrinsic Earth’s mass references: gravitational coefficient (GM) of the Earth (degree 0), geocenter motion

We show that far-zone topography-implied gravitational effects may be accurately computed via external spherical harmonics not only above the limit sphere encompassing all the masses, but also inside it on planetary topographies. Although a rigorous mathematical proof is still missing, our numerical experiments indicate that this is possible, provided that near-zone masses within a certain spherical

Marine heatwaves (MHWs) are a central topic of research due to their extensive implications to marine fauna and flora. As far as we know, this is the first study focused on the occurrence of MHWs in the Eastern Boundary Upwelling systems (EBUs). For that purpose, trends in Sea Surface Temperature (SST) and in the number of MHW days were calculated to assess the different occurrence of MHWs nearshore

To track the evolution and formation of one of the major sub-basins of the Pannonian back-arc basin system, we re-evaluate pre-rift, syn-rift, post-rift, and inversion stages of the Danube Basin. This synthesis builds upon a new compilation of (i) geophysical measurements, (ii) current data about the substratum of the basin, (iii) recent advances in stratigraphic architecture of the basin fill, (iv)

The Unmanned Aerial Vehicle often known as UAV plays a central role in providing multifarious services which can be encapsulated under following major categories namely military, research and civil. Various studies have revealed that unlike the military UAV the civil UAV uses unauthenticated, unencrypted and predictable signals and thus can be easily manipulated. With the burgeoning dependency on UAVs

The changes that occur in various forms of land classes are known as land-use and land-cover changes (LULC). Such changes have a substantial impact on the contours of an urban basin and consequently have an effect on the surface runoff of the rainfall that occurs in the area. The runoff features obviously deteriorate because of the decrease in initial abstraction, and an increase in imperviousness

Supplementary comparison of distance measurements using pocket-type laser instruments (EDMs), following the previous comparison EURAMET.L-S20. Originally proposed by CEM (ES) as billateral comparison with BEV (AT), after the open call made at the 2014 EURAMET TC-L meeting, VSL (NL) joined the comparison too. Registered as Supplementary Comparison EURAMET.L-S25 with CEM acting as Coordinator and Pilot

The surface urban heat island (SUHI) is one of the most common effects of the urban ecological environment, and its long-term diurnal and seasonal fine-scale analysis remains poorly understood. This article utilized a modified reconstruction model and spatiotemporal fusion model to generate twice daily (day and night) and seasonal Landsat-scale (30 m) land surface temperature (LST) data using Moderate

Leaf area is a component of crop growth and yield prediction models. Few studies have used the structure from motion (SfM) algorithm, which is based on the principles of traditional stereophotogrammetry, to obtain the leaf area index (LAI). Thus, the objective of this study was to follow the evolution of the LAI and percentage of land cover (%COV) in coffee plants, using pre-established equations and

Line segment matching in two or multiple views is helpful to 3D reconstruction and pattern recognition. To fully utilize the geometry constraint of different features for line segment matching, a novel graph-based algorithm denoted as GLSM (Graph-based Line Segment Matching) is proposed in this paper, which includes: (1) the employment of three geometry types, i.e., homography, epipolar, and trifocal

Autonomous UAV technology is limited in its ability to land safely at distinct airfields that have not been precisely surveyed and where GPS is unavailable. In this paper, we present a multi-sensor system for the automatic landing of fixed-wing UAV. The system is composed of a high precision aircraft controller, a range finder (Lidar) and a vision module used for detection and tracking of runways.

Characterization of forests is an important aspect for the management and conservation of biodiversity and satellite remote sensing provides opportunity to rapidly assess biodiversity patterns across large geographical areas. The present study aimed to characterize vegetation in a landscape with heterogenous topography using medium resolution Sentinel-2 satellite data and random forest (RF) machine