The impact of structural parameters agricultural crops on the retrieval chlorophyll content presents a real challenge for remote-sensing community. Canopy reflectance can differ between different canopy structure even when they have same content. Thus, properties should be incorporated in mapping to reduce modelling errors. empirical relationships vegetation indices and are well established commonly used precision agriculture. Recent advances using unmanned aerial vehicle (UAV/drone)...

Unmanned aerial vehicles (UAV) are increasingly used for spatiotemporal monitoring of invasive plants in coastal wetlands. Early identification species is necessary planning, restoring, and managing This study assessed the effectiveness UAV technology to identify Phragmites australis Old Woman Creek (OWC) estuary using machine learning (ML) algorithms: Neural network (NN), support vector (SVM), k-nearest neighbor (kNN). The ML algorithms were compared with parametric maximum likelihood...

Due to their low light conditions, shadows reduce the accuracy of feature extraction and change detection in remote-sensing images. Unmanned aerial vehicles (UAVs) are capable acquiring images that have a resolution several centimetres removing is challenge. In this study, Maximum Likelihood (ML) Support Vector Machine (SVM) classifiers were used classify UAV image acquired using red–green–blue (RGB) camera over Old Woman Creek National Estuarine Research Reserve Ohio, USA. The impact on...

(2018). Multi-depth suspended sediment estimation using high-resolution remote-sensing UAV in Maumee River, Ohio. International Journal of Remote Sensing: Vol. 39, Unmanned Aerial Systems (UAS) for Environmental Applications, pp. 5472-5489.

The first generation of platforms for instruments generating remotely sensed data from the surface Earth comprised pilot-flown aircraft and second consisted Earth-orbiting ...

In recent years, the utilization of machine learning algorithms and advancements in unmanned aerial vehicle (UAV) technology have caused significant shifts remote sensing practices. particular, integration with physical models their application UAV–satellite data fusion emerged as two prominent approaches for estimation vegetation biochemistry. This study evaluates performance five regression (MLRAs) mapping crop canopy chlorophyll at Kellogg Biological Station (KBS) Michigan, USA, across...

The classification of wetland plants using unmanned aerial vehicle (UAV) and satellite synergies has received increasing attention in recent years. In this study, UAV-derived training validation data WorldView-3 imagery are integrated the five dominant Old Woman Creek (OWC) estuary, USA. Several classifiers explored: (1) pixel-based methods: maximum likelihood (ML), support vector machine (SVM), neural network (NN), (2) object-based Naïve Bayes (NB), k-nearest neighbors (k-NN). study...

Mapping land and aquatic vegetation of coastal areas using remote sensing for better management conservation has been a long-standing interest in many parts the world. Due to natural complexity heterogeneity cover, various sensors techniques are utilized monitoring ecosystems. In this study, two unsupervised supervised standard pixel-based classifiers were tested evaluate mapping performance second-generation airborne NASA Glenn Hyperspectral Imager (HSI2) over narrow area along Western Lake...

Satellite remote sensing has been widely used to map suspended sediment concentration (SSC) in waterbodies. However, due the complexity of sediment-water interactions, it difficult derive linear and non-linear regression equations reliably predict SSC, especially when trying estimate depth integrated sediment. This study uses Landsat 8 OLI (Operational Land Imager) sensor SSC within Maumee River Ohio, USA, at multiple intervals (15, 61, 91, 182 cm). Simple least squares (LLSR), three common...

Digital aerial photogrammetry has recently attracted great attention in forest inventory studies, particularly countries where airborne laser scanning (ALS) technology is not available. Further research, however, required to prove its practical applicability deriving three-dimensional (3D) point clouds and canopy surface height models (CSMs CHMs, respectively) over different types. The primary aim of this study investigate the image-based CHMs at spatial resolutions (1 m, 2 5 m) for use...

This special issue on Unmanned Aerial Systems (UAS) for Environmental Applications makes three important contributions:(1) It marks the launch of a new section in International Journal Remot...

The quality and accuracy of Unmanned Aerial System (UAS) products greatly depend on the methods used to define image orientations before they are create 3D point clouds. While most studies were conducted in non- or partially-forested areas, a limited number have evaluated spatial UAS derived by using different block orientation forested areas. In this study, three compared: (a) Indirect Sensor Orientation (InSO) method with five irregularly distributed Ground Control Points (GCPs); (b)...

High-rise buildings in the modern urban setting may have a considerable impact on land subsidence. The process of urbanization Beijing has been found to be direct relationship with permanent scatterers interferometric aperture radar (PSInSAR) technology is becoming conventional tool for subsidence monitoring. Synthetic (SAR) tomography, as an extension PSInSAR technology, allows full 3D imaging, and useful reconstruct building maps. In this study, SAR tomography method "scale-down by L1 norm...

Leaf area index (LAI) is a key biophysical variable and an ecosystem condition indicator that measured from multiple methods. In this study, LAI was by terrestrial laser scanner (TLS) Li-Cor LAI-2200 plant canopy analyzer for understanding differences. A total of six different methods consider leaf clumping, leaf–wood separation, orthographic stereographic projection were compared. reasonable agreement among all estimates observed (i.e., correlations r > 0.50). The Bayesian linear regression...

The timing and quantity of fertilizer herbicide applications in agricultural systems are critical where maximizing vigour yield is the ultimate goal. While fertilizers applied to soil promote plant growth, herbicides commonly used control weeds order reduce weeds' competition for nutrients. Satellite imagery frequently monitor activities vegetation indices (VIs) widely temporal analysis crop status. This study considers monitoring Landsat VIs period between 5 June 27 October 2014 under four...

In recent years, the utilization of machine learning algorithms and advancements in Unmanned Aerial Vehicle (UAV) technology have marked significant shifts remote sensing practices. particular, integration with physical models their application UAV-satellite data fusion emerged as two prominent approaches for estimating vegetation biochemistry. This study evaluates performance five regression (MLRAs) mapping crop canopy chlorophyll at Kellogg Biological Station (KBS) Michigan, USA, across...

Background and Purpose: Rapid assessments of forest damage caused by natural disasters such as ice-break, wind, flooding, hurricane, or fires are necessary for mitigation management.Forest directly impacts carbon uptake biogeochemical cycles, thus, has an impact on climate change.It intensifies erosion influences socio-economic well-being population.Quantification cover change represents a challenge the scientific community damaged areas often in mountainous remote regions.Forested area...

Identifying Persistent Scatterers (PSs) is one of the key processing steps Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) technique. The number, density, and reliability identified PSs directly affect monitoring accuracy land subsidence, especially in higher density urban environments. As a result side-looking viewing geometry SAR, layover effect poses major challenge to PS identification. This research proposes joint modeling PS-InSAR technique RELAX algorithm for SAR...

Digitalni model reljefa (DTM, engl. Digital Terrain Model ) ima široku i važnu primjenu u mnogim djelatnostima, uključujući šumarstvo. Međutim, precizno modeliranje terena, odnosno izrada DTM-a šumama, bilo korištenjem terenskih metoda ili daljinskih istraživanja, izazovan je vrlo zahtjevan zadatak. U većini razvijenih zemalja svijeta, zračno lasersko skeniranje (ALS, Airborne Laser Scanning bazirano na LiDAR (engl. Light Detection and Ranging tehnologiji trenutno predstavlja glavnu metodu...

Abstract. Growing monoculture impacts not just soil properties and biodiversity but also local hydrology including evapotranspiration (ET). The Midwest region of the U.S. is known for its trend by growing producing corn, which commonly replaces other crop types. In addition to large areas covered with photosynthetic adaptations being C4 crop, affects ET differently than C3 crops such as soybean, wheat, alfalfa. This study aims model compare using remote sensing (Sentinel-2 data) Boreal...

Accurate quantification of evapotranspiration (ET) is crucial for surface water resources and best agricultural management practices in watersheds. The aim this study was to better understand ET changes caused by the rapid expansion C4 (corn) cover stomatal conductance, which may be amplified future due environmental human-contributing factors, such as climate change practices. Linking enlargement land with physiological properties crops, photosynthetic adaptations necessary explore...