A5043064037- Synthetic Aperture Radar (SAR) Applications and Techniques
- Soil Moisture and Remote Sensing
- Landslides and related hazards
- Smart Agriculture and AI
- Insect and Arachnid Ecology and Behavior
- Remote Sensing and LiDAR Applications
- Cryospheric studies and observations
- Geophysical Methods and Applications
- Tree Root and Stability Studies
- Advanced SAR Imaging Techniques
- Remote Sensing in Agriculture
- Rangeland and Wildlife Management
- Rice Cultivation and Yield Improvement
- Seed and Plant Biochemistry
- Terahertz technology and applications
- Plant Pathogens and Fungal Diseases
- Antenna Design and Optimization
- Plant and Fungal Interactions Research
- Ecology and biodiversity studies
- Marine and environmental studies
- Geological Studies and Exploration
- Microwave Imaging and Scattering Analysis
- Spectroscopy and Chemometric Analyses
- Sugarcane Cultivation and Processing
- Plant Pathogens and Resistance
Universidade Estadual de Campinas (UNICAMP)
2019-2024
Peruvian University of Applied Sciences
2018
Accurate, high-resolution maps of for crop growth monitoring are strongly needed by precision agriculture. The information source such has been supplied satellite-borne radars and optical sensors, airborne drone-borne sensors. This article presents a novel methodology obtaining deficit with an accuracy down to 5 cm spatial resolution 1 m, using differential synthetic aperture radar interferometry (DInSAR). Results presented measurements DInSAR operating in three bands—P, L C. decorrelation...
Synthetic Aperture Radar (SAR) has become a powerful remote sensing tool during the last 25 years. Most relevant products are three dimensional and projected on cartographic system: topographic, thematic change-detection maps. Starting with requirements of precision agriculture, subsurface tomography, subsidence cartography low weight drone-borne SAR was designed. It operates in P, L C-bands cross-track (InSAR) differential Interferometry (DInSAR). The foreseen applications, concept, design,...
Differential synthetic aperture radar interferometry (DInSAR) has been widely applied since the pioneering space-borne experiment in 1989, and subsequently with launch of ERS-1 program 1992. The DInSAR technique is well assessed case SAR data, whereas data acquired from aerial platforms, such as airplanes, helicopters, drones, effective application this still a challenging task, mainly due to limited accuracy information provided by navigation systems mounted onboard platforms. first...
This article presents a novel method for predicting the sugarcane harvesting date and productivity using three-band imaging radar. Taking advantage of working with multi-band radar, this system was employed to estimate above-ground biomass (AGB), achieving root-mean-square error (RMSE) 2 kg m−2 in crops, which is an unprecedented result compared other works based on Synthetic Aperture Radar (SAR) system. By correlating field measurements ripening index (RI) AGB by indirect RI radar obtained....
This paper presents a high-accuracy single-pass drone-borne Interferometric Synthetic Aperture Radar System in the P-band (P-InSAR) for forest inventory, where ground and canopy heights are accurately determined. Full penetration is proven eucalyptus with tree spacing of 2.5 m by 3.0 m, measured digital terrain accuracy compared well-known statistical models. Combining C-band InSAR P-InSAR, height estimated 5 % inventory. Both surface models presented truth measurements.
In synthetic aperture radar (SAR) imaging, the goal of subsurface tomography is to create detailed images objects and structures underground. order obtain well-focused images, refraction effect must be taken into account during SAR processing. This work proposes an adjusted back-projection algorithm validates it with simulation experimental results. The model constitutes underground air cavity a multi-circular flight path. scenario includes buried quad-corner reflector unmanned aerial...
Defoliation by leaf-cutting ants in commercial forest plantations is one of the leading causes biomass and productivity losses affecting all Brazilian industrial forest. Thus, development monitoring tools that allow extracting information below surface large areas, such as synthetic aperture radar (SAR) systems, crucial. This work presents a method for ant nest size estimation based on SAR images. A field study carried out using drone-borne system to survey eucalyptus helical flight pattern...
This work presents a remote sensing solution for sugarcane precision agriculture based on drone-borne differential interferometric synthetic aperture radar (DlnSAR) operating in the P-, L-, and C-bands. With one flight pass, system can estimate soil moisture, plantation height, above-ground biomass map; predict harvest date respective productivity. two passes, it assesses crop growth via interferometry. A new methodology dedicated to was developed existing methodologies moisture measurement....
The presence of leaf-cutting ants in commercial forest plantations is one the main causes loss biomass and productivity that affect large pulp producers Brazil. Thus, development monitoring tools allow extraction information below surface areas, such as SAR systems, crucial importance. This work presents a set unprecedented electromagnetic simulations for detection ant nests with 6 up to 385 chambers industrial forests. different tests range from one-signal case tomographic processing based...
Leaf-cutting ants, notorious for causing defoliation in commercial forest plantations, significantly contribute to biomass and productivity losses, impacting producers Brazil. These ants construct complex underground nests, highlighting the need advanced monitoring tools extract subsurface information across large areas. Synthetic Aperture Radar (SAR) systems provide a powerful solution this challenge. This study presents results of electromagnetic simulations designed detect leaf-cutting...
The paper introduces a novel approach for estimating soil moisture in vegetated surfaces, specifically focusing on sugarcane crops throughout various growth stages agriculture applications. While existing models typically address bare scenarios, this model utilizes data from P-, L-, and C-band Synthetic Aperture Radar (SAR) to estimate moisture. semi-empirical Dubois forms the basis of proposed model, which has been adapted accommodate multiband operation crop height variations. datasets are...
Drone-borne synthetic aperture radar (SAR) is becoming a powerful remote sensing tool for subsoil tomography. Two challenging aspects need to be considered: the development of processing techniques complex tomography tasks and reduction in volume weight SAR system. These challenges will addressed through two key applications. The first aspect exemplified by describing identification ant nests an industrial forest using electromagnetic-based P-band approach. second tackled presenting...
Action planning and decision-making in the sugarcane management chain depend on yield estimates, which, turn, vary with soil.This study aimed to describe an applicable method of classifying productivity into three categories, based soil properties (medium, low, high), determining which is most associated biomass production.To this end, we applied machine learning methods Naïve Bayes, Decision Trees, Random Forest, as they proved be useful tools for faster more accurate results.Our results...
The presence of leaf-cutting Acromyrmerx ants in industrial forest plantations is one the main causes loss biomass and productivity that affect large pulp producers Brazil. Thus, development monitoring tools allow extraction information below surface areas, such as Synthetic Aperture Radar (SAR) systems, crucial importance. This work presents a set unprecedented electromagnetic simulations for detection Acromyrmex ant nests with 1 up to 13 chambers forests. Ant bare soil under cases were...
The presence of beaver burrows, primarily found on riverbanks, poses significant risks due to the increased probability subsidence, which can have a detrimental impact infrastructures such as railways, bridges, flood embankments, and footpaths. Currently, identifying these structures is complex tedious job because they are natural underground formations, located in hard-to-reach areas. Alternative methods remote sensing based Synthetic Aperture Radar (SAR) systems, offer great promise option...
Tomography using drone-borne synthetic aperture radar (SAR) has proven to be very useful and efficient in surveying the subsurface of areas with gravimetric soil moisture ranging from 0 50%. The SAR, along back-projection processing algorithms, proof concept through detection a corner reflector buried 1.7 meters deep clayey soil, are presented. Anthills 0.05 m2 120 were detected under an industrial eucalyptus forest, probability more than 80% two different regions.
This article reports two scenarios to demonstrate the subsurface survey capability for high resolution tomographic through a drone-borne tri-band synthetic aperture radar (SAR). In first scenario, linear flight was carried out identification of leaf-cutting ant nest. A reflectivity reduction up 8 dB obtained in nest area, demonstrating penetration SAR system. Additionally, electromagnetic simulations were better understand effects and also presented same reduction. The second scenario...