A5026641590- Geographic Information Systems Studies
- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Species Distribution and Climate Change
- Particle Detector Development and Performance
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- Radiation Detection and Scintillator Technologies
- High-Energy Particle Collisions Research
- Solar Radiation and Photovoltaics
- Human Mobility and Location-Based Analysis
- Data Management and Algorithms
- Data-Driven Disease Surveillance
- Remote Sensing and Land Use
- Agriculture and Rural Development Research
- Scientific Computing and Data Management
- Solar Thermal and Photovoltaic Systems
- Atmospheric and Environmental Gas Dynamics
- Semantic Web and Ontologies
- Environmental Impact and Sustainability
- CCD and CMOS Imaging Sensors
- Mobile Crowdsensing and Crowdsourcing
- Photovoltaic System Optimization Techniques
- Pituitary Gland Disorders and Treatments
- Spatial and Panel Data Analysis
St. Luke's University Health Network
2022
Temple University
2022
University of Freiburg
2005-2018
International Institute for Applied Systems Analysis
2011-2017
Fraunhofer Institute for Solar Energy Systems
2011-2014
Fraunhofer Society
2012
Abstract A new 1 km global IIASA ‐ IFPRI cropland percentage map for the baseline year 2005 has been developed which integrates a number of individual maps at to regional national scales. The products include existing land cover such as GlobCover and MODIS v.5, AFRICOVER from mapping agencies other organizations. different are ranked level using crowdsourced data Geo‐Wiki create that reflects likelihood cropland. Calibration with subnational crop statistics was then undertaken distribute...
Global land cover is one of the essential terrestrial baseline datasets available for ecosystem modeling, however uncertainty remains an issue. Tools such as Google Earth offer enormous potential validation. With ever increasing amount very fine spatial resolution images (up to 50 cm × cm) on Earth, it becoming possible every Internet user (including non remote sensing experts) distinguish features with a high degree reliability. Such approach inexpensive and allows users from any region...
In the last 10 years a number of new global datasets have been created and new, more sophisticated algorithms designed to classify land cover. GlobCover MODIS v.5 are most recent cover products available, where (300 m) has finest spatial resolution other comparable such as (500 GLC-2000 (1 km). This letter shows that thematic accuracy in cropland domain decreased when comparing these two latest products. disagreement is also evident spatially examining maps forest between GLC-2000,...
There is currently a lack of in-situ environmental data for the calibration and validation remotely sensed products development verification models. Crowdsourcing increasingly being seen as one potentially powerful way increasing supply but there are number concerns over subsequent use data, in particular quality. This paper examined crowdsourced from Geo-Wiki crowdsourcing tool land cover to determine whether were significant differences quality between answers provided by experts...
Abstract Global land cover is an essential climate variable and a key biophysical driver for earth system models. While remote sensing technology, particularly satellites, have played role in providing datasets, large discrepancies been noted among the available products. use typically more difficult to map many cases cannot be remotely sensed. In-situ or ground-based data high resolution imagery are thus important requirement producing accurate datasets this precisely what lacking. Here we...
Abstract The recent rise of neogeography and citizen sensing has increased the opportunities for use crowdsourcing as a means to acquire data support geographical research. value resulting volunteered geographic information is, however, often limited by concerns associated with its quality degree which contributing sources may be trusted. Here, on was derived using latent class analysis. land cover interpreted visually from satellite sensor images main focus labeling 299 sites seven 65...
This paper presents a methodology for the creation of cropland map Africa through combination five existing land cover products: GLC-2000, MODIS Land Cover, GlobCover, Crop Likelihood and AfriCover. A synergy is created in which products are ranked by experts, reflects likelihood or probability that given pixel cropland. The then calibrated with national sub-national crop statistics using novel approach. Preliminary validation was undertaken results presented. resulting has an accuracy 83%,...
Recent estimates of additional land available for bioenergy production range from 320 to 1411 million ha. These were generated four scenarios regarding the types suitable using coarse-resolution inputs soil productivity, slope, climate, and cover. In this paper, these maps availability assessed high-resolution satellite imagery. Samples selected crowdsourcing Google Earth images was used determine type cover degree human impact. Based on sample, a set rules formulated downward adjust...
Crowdsourcing is a popular means of acquiring data, but the use such data limited by concerns with its quality. This evident within cartography and geographical sciences more generally, quality volunteered geographic information (VGI) recognized as major challenge to address if full potential citizen sensing in mapping applications be realized. Here, characterize volunteers, based only on they contribute, was used explore issues connected quantity volunteers for attribute mapping. The focus...
Corrosion can seriously affect the service life of components for solar energy conversion. We present results mapping potential atmospheric corrosion in coastal regions with aid a Geographical Information System (GIS). Concentration sea salt aerosols, which are main pollutants maritime regions, gives an indication probability leading to PV-module degradation. Two approaches estimate distribution aerosol across worldwide investigated. The first approach is geo-statistical analysis that has...
Photon detectors based on micropattern gas represent a new generation of gaseous photon detectors. In the context project to upgrade COMPASS RICH-1, we are performing an R&D programme aimed both establish principles and develop engineering aspects multi-layer arrangements thick GEMs electron multipliers coupled CsI photoconverter. this context, reduced rate backflow positive ions generated in multiplication process is required overcome critical issues related bombardment photoconverter by...
Simple consensus methods are often used in crowdsourcing studies to label cases when data provided by multiple contributors. A basic majority vote rule is used. This approach weights the contributions from each contributor equally but contributors may vary accuracy with which they can cases. Here, potential increase of crowdsourced on land cover identified satellite remote sensor images through use weighted voting strategies explored. Critically, information weight based a labels class and...
Crowdsourcing is a popular means of acquiring data, but the use such data limited by concerns with its quality. This evident within cartography and geographical sciences more generally, quality volunteered geographic information (VGI) recognized as major challenge to address if full potential citizen sensing in mapping applications be realized. Here, characterize volunteers, based only on they contribute, was used explore issues connected quantity volunteers for attribute mapping. The focus...
The photon detectors based on MPGD (MicroPattern Gaseous Detector) represent the new generation of gaseous detectors. We report about an R&D programme dedicated to study both principles and engineering aspects Thick GEMs (THGEM) electron multipliers coupled a CsI photoconverting coating.
Fraunhofer ISE is running a PV-module outdoor testing set-up on the Gran Canaria island, one of Canary Island located west Morroco in Atlantic Ocean. The performance modules assessed by IV-curve monitoring every 10 minutes. electronic system - consisting individual loads for each module which go into an MPP-tracking mode between IV-measurements will be described detail. Soiling exposed happened because building constructions nearby. We decided not to clean modules, but radiation sensors and...
This paper mainly focuses on the two issues through remote sensing: assessment of renewable energy potential and integration model. Three methods for assessing with sensing (RS) are proposed. The can provide more precise evaluation potential, which is first vital step to develop then presents three integrations model RS points out that respect problems one them employed. based illustrated by a simple example Europe solar data set. results show Germany optimal country install photovoltaic...
The GANDALF 6U-VME64x/VXS module has been designed to cope with a variety of readout tasks in high energy and nuclear physics experiments, particular the COMPASS experiment at CERN. exchangeable mezzanine cards allow for an employment system very different applications such as analog-to-digital or time-to-digital conversions, coincidence matrix formation, fast pattern recognition trigger generation. Based on this platform, we present 128-channel TDC which is implemented single Xilinx...
Abstract The availability, quality and accessibility of G eographic I nformation ( GI ) have significant socio‐economic environmental benefits, but the collection maintenance require substantial investments. Cost‐benefit assessments CBA s) attempt to justify costs geospatial data investments, applying different methodologies focusing on diverse areas. Therefore, R eturns nvestment ROI vary considerably across studies, regions sectors. objective this study is explain some variation in average...