Falzon Das Se Ag Compressed
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Falzon "The Dynamic Aerial Survey Algorithm: Precision Fertiliser Applications", SEAg 2011 Conference, Sep, Surfers Paradise, Qld, Australia.
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The document provides an introduction to the NAVSTAR GPS system, including its history, components, and functions. It describes the three segments (space, control, and user), how GPS determines position via satellite timing signals, sources of error, and applications for civilian and military use. It also covers differential GPS techniques which improve accuracy, such as WAAS.
Selm Falzon Compressed
Falzon "Functional Data Analysis Tools for the Livestock Science Researcher", 2011 Spatially Enabled Livestock Management Symposium, 29th Sep. 2011, Surfers Paradise, Qld, Australia.
goGPS (March 2010)
goGPS is open source software that improves the accuracy of low-cost GPS devices through real-time kinematic (RTK) positioning and Kalman filtering. It was initially developed through 2007-2009 at the Polytechnic of Milan and Osaka City University. The software provides sub-meter level positioning and is being ported from MATLAB to Java to manage it as a collaborative open source project. goGPS processing will also be offered as a web service to provide accurate positioning from raw GPS data. Future work includes expanding supported signals and sensors and developing hardware to run the software-defined radio front-end.
Chap2 ofdm basics
This document discusses single carrier and multicarrier transmission techniques. Multicarrier transmission divides the transmission bandwidth into multiple narrow subchannels transmitted in parallel. This reduces intersymbol interference compared to single carrier as each subchannel experiences flat fading, even if the overall channel is frequency selective. Orthogonal frequency division multiplexing (OFDM) is described as a multicarrier technique that achieves orthogonality between subcarriers using the discrete Fourier transform. This allows overlapping subcarriers to prevent interference. OFDM is used widely but has drawbacks including sensitivity to synchronization errors and high peak-to-average power ratios.
2_prats_IGARSS2011_distributed_imaging_v4.ppt
The document discusses experiments performed using TerraSAR-X (TSX) and TanDEM-X (TDX) satellites to demonstrate capabilities of distributed imaging with bi-static SAR systems. Three key experiments are described:
1) Super resolution in range was achieved through step-frequency acquisitions from both satellites, combining the signals coherently to increase range resolution beyond the individual satellite limitations.
2) Super resolution in azimuth used the satellites' Doppler offsets to synthesize a signal with twice the azimuth resolution of either satellite alone.
3) Quad-polarized images were synthesized from dual-polarized acquisitions from each satellite, using one polarization for imaging and the other for calibration.
Real Time Spectroscopy
In this talk I will present real-time spectroscopy and different code to perform this kind of calculations.
This presentation can be download here:
http://www.attaccalite.com/wp-content/uploads/2022/03/RealTime_Lausanne_2022.odp
Bloco2 produtos gerados_pelo_inpe
This document provides a list and descriptions of products available from the GEONETCAST system operated by INPE. It includes composites of GOES and MSG images, visible and infrared channels from GOES, water vapor, enhanced infrared, nowcasting of convection, winds, rainfall estimates, vegetation indices, fire detection, land surface temperature, dry days, lightning, UV index, and 5-day weather forecasts. It also describes CBERS satellite images from CCD and HRC sensors and the process for fusing them into colorized high-resolution CHC images.
Modal Analysis Basic Theory
This document discusses modal analysis and parameter estimation. It introduces single degree of freedom (SDOF) and multi degree of freedom (MDOF) system theory, including equations of motion, transfer functions, frequency response functions, and impulse responses. Parameter estimation can be performed in the frequency domain using FRFs or the time domain using impulse response functions. The goal is to estimate modal parameters like natural frequencies, damping ratios, and mode shapes.
CELEBRATION 2000 (3rd Deployment) & ALP 2002 Generation of a 3D-Model of the ...
CELEBRATION 2000 and ALP 2002 are two large 3-D-refraction campaigns which target the crustal and upper mantle structure in Central Europe. This study is based on these seismic data sets and concentrates on the area of the Eastern Alps region and the surrounding forelands and basins. The tectonic setting of the investigation area is characterized by a continent-continent-collision of the Adriatic and European plate and subsequently by a lateral extrusion eastwards to the Pannonian basin. (Fig. Xxx)
The 3-D-model is described by a tomographic solution of the crust and depths and velocities for the Moho. In both cases, lateral resolution is 20 km on a 31x34-horizontal grid. The vertical distance of the depth nodes for the crust is 1 km down to 20 km depth and larger intervals from there on.
The merged datasets of ALP2002 and of the 3rd deployment of CELEBRATION 2000 result in approximately 78000 seismic traces. Signal detection (STA/LTA) and stacking techniques (offset bins) were applied to the data in order to guarantee a reliable interpretation even in areas of degraded seismic energy transmission. Refractors like the Moho are modeled by a delaytime approach at a first step. The following depth conversion will make use of the velocity model of the crust. These techniques will be presented at this meeting on Friday .
Modelling the crust
To obtain the tomographic image of the crust, for each gridpoint with sufficient coverage CMP-sorted traces over all azimuths were stacked. The stack is treated as a 1D-traveltime-curve, subsequently picked (Pg only !) and inverted. On the expense of detailed images of shallow layers, the stacking process enhances Pg at large (over-critical) offsets, so that the average penetration depth is 16 km, with a maximum of over 40 km.
射頻電子 - [第六章] 低雜訊放大器設計
This document discusses the design of low-noise amplifiers. It begins with an overview of the basic structure of transmitters and receivers in wireless communication systems. It then reviews the relationships between power and gain and introduces the concept of the available power gain circle. The document discusses a design method for amplifiers that does not require simultaneous conjugate matching of both ports. It also covers noise theory for two-port networks and the fixed noise figure circle. The key points are utilizing available power gain circles and fixed noise figure circles to design amplifiers through tradeoffs between gain and noise on the Smith chart.
CAPACITIVE SENSORS ELECTRICAL WAFER SORT
This document discusses testing capacitive sensors using electrical measurements. It describes an electrical model of a capacitive sensor and how its capacitance varies with applied bias voltage. Methods are presented for testing for leakage currents, measuring the capacitance-voltage relationship, and determining the sensor's dynamic behavior by analyzing its resonant frequency and quality factor. Requirements for the test setup include using a capacitance meter, waveform generator, and digitizer configured for Fourier analysis to isolate the sensor's motional signal from background terms in its output current spectrum. Calibration procedures are also outlined to compensate for stray capacitances in the test circuit.
MUMS Opening Workshop - Model Uncertainty in Data Fusion for Remote Sensing -...
MUMS Opening Workshop - Model Uncertainty in Data Fusion for Remote Sensing -...The Statistical and Applied Mathematical Sciences Institute
Data fusion is the process of combining data from different sources to enhance the utility of the combined product. In remote sensing, input data sources are typically massive, noisy, and have different spatial supports and sampling characteristics. We take an inferential approach to this data fusion problem: we seek to infer a true but not directly observed spatial (or spatio-temporal) field from heterogeneous inputs. We use a statistical model to make these inferences, but like all models it is at least somewhat uncertain. In this talk, we will discuss our experiences with the impacts of these uncertainties and some potential ways addressing them.2.5 pda-capwap - gray
The document discusses high strain pile testing using a Pile Driving Analyzer (PDA) system. It provides an overview of PDA testing methodology, including measuring strain and acceleration at the pile top to determine forces and stresses in the pile. It also describes using PDA data to evaluate pile integrity, bearing capacity, and resistance distribution. The document outlines PDA capabilities such as remote monitoring and analyzing restrike data. It further explains the Case Method for determining static pile capacity from PDA measurements.
Pda capwap - frank rausche
The document discusses high strain pile testing using the Pile Driving Analyzer (PDA) system. It outlines how the PDA measures strain, acceleration, force and velocity during pile driving to evaluate forces and stresses in piles, integrity, bearing capacity and resistance. It provides examples of PDA testing results and discusses problems that can be identified. The PDA and CAPWAP methods are described for analyzing test results to determine pile capacity and resistance distributions.
Lb2519271931
This document summarizes a research paper that proposes using complex wavelet transform (CWT) with a custom thresholding algorithm to estimate Doppler profiles from MST radar signals. CWT has advantages over real wavelet transforms by generating complex coefficients. The custom thresholding function is continuous around the threshold and can be adapted to signal characteristics. The algorithm applies CWT thresholding to the radar signal spectrum before Doppler estimation. Results on test radar data show the method can estimate Doppler at higher altitudes where noise dominates, unlike existing techniques.
Similar to Falzon Das Se Ag Compressed (20)
Second Order Perturbations During Inflation Beyond Slow-roll
Second Order Perturbations During Inflation Beyond Slow-roll
CELEBRATION 2000 (3rd Deployment) & ALP 2002 Generation of a 3D-Model of the ...
CELEBRATION 2000 (3rd Deployment) & ALP 2002 Generation of a 3D-Model of the ...
MUMS Opening Workshop - Model Uncertainty in Data Fusion for Remote Sensing -...
MUMS Opening Workshop - Model Uncertainty in Data Fusion for Remote Sensing -...
Falzon Das Se Ag Compressed
- 1. The Dynamic Aerial Survey Algorithm Precision Fertiliser Applications Falzon GA, Lamb DW & Schneider DA
- 2. Overview The Need for Top-dress Fertilisers. The Advent of Active Optical Sensors. Real-Time Aerial Crop Survey & its Challenges. The Solution: DAS. Future Developments.
- 3. Top-Dress Fertilisers Irrigated durum wheat: 2 applications of N/season 322 kg N/ha, $A309.84/ha (July 2011). 300 ha cereal feld requires $A92,952 N/application and $A185,904 total. Extra on-costs! Aircraft cost $A7000- $A10000/9ight. We need greater effciency!!!
- 4. Active-Optical Sensors CropCircleTM ACS210 'red head' & GeoSCOUT 400 data-logger λ 1=650nm (red) λ 2=880nm (NIR) 4.00m 2.28m m 0.44
- 5. Real-Time Aerial Survey Fletcher FU24954 aircraft Garmin GPS18 5Hz On-The-Go Sensing: 80 kts = 144 km/h Can we create an accurate prescription map after each pass?
- 6. The DAS Algorithm: Pt I Paddock Polygons cumulative passes Ragged Arrays geo-referenced samples: different dimensions
- 7. The DAS Algorithm: Pt II
- 8. The DAS Algorithm: Pt III Support Vector Machines Nk f ( z)=∑i=1 [β −β K ( z i , z)+β0 ] 1 i 2 i Kernels Polynomial Radial Sigmoid T n (γ z⋅z +κ) −∣z−z T∣ T tanh (γ z⋅z +κ) exp( 2 ) 2σ
- 9. The DAS Algorithm: Pt IV
- 10. The DAS Algorithm: Pt V Divide f ( z) into prescription zones M P =( M 1, P ,… , M N , P ) Pre-set Levels e.g. NDVI = {0.0,0.2,0.4,0.6,0.8} Divide into N levels e.g. n = 10 K-means clustering, e.g. cluster into three groups (low, med, high).
- 11. The DAS Algorithm: In Action
- 12. Future Developments Incorporate Prior Information Prior survey results Additional information such as soil surveys and yield maps Expert knowledge
- 13. Future Developments Joint Air-Ground Operations Extension of Prior Survey Models. Ground Validation, Small Scale Areas, Combined Air/Ground Fertiliser Teams. Field Calibration & Validations Wind shear, height, droplet size (I. Yule), servo latency. Compare drop zone to management map.
- 14. Thank you! M. Trotter (UNE PARG) SUPERAIR CRC for Spatial Information (CRCSI) Sugar Research & Development Corporation (SRDC) Nick Barton (Twynam Agriculture) Andrew Smart (Precision Cropping Technologies) Nick Gillingham (Sundown Pastoral Company) Dr. F. Honey (SpecTerra Services)