A5037504849- Remote Sensing in Agriculture
- Business Law and Ethics
- American Environmental and Regional History
- Sports, Gender, and Society
- Sports Analytics and Performance
- Sport and Mega-Event Impacts
- Remote-Sensing Image Classification
- Legal Issues in Education
- Doping in Sports
- Legal Systems and Judicial Processes
- Archaeology and Natural History
- Remote Sensing and Land Use
- Botany, Ecology, and Taxonomy Studies
- Smart Agriculture and AI
- Geographic Information Systems Studies
- Economic Theory and Policy
- Landscape and Cultural Studies
- American Sports and Literature
- Economic Theory and Institutions
- Human Motion and Animation
- Political Economy and Marxism
- Schopenhauer and Stefan Zweig
- Conflict of Laws and Jurisdiction
- Sexual Assault and Victimization Studies
- Urban Planning and Landscape Design
Planet
2021-2024
Cypress College
2024
SGS Germany GmbH (Germany)
2023
Scripps Institution of Oceanography
2022
University of California, San Diego
2022
Uniformed Services University of the Health Sciences
2021
Wake Forest University
2001-2021
Emory University
2021
Technische Universität Berlin
2020
Office of Readiness and Response
2015
Earth observation is a fundamental tool for monitoring the evolution of land use in specific areas interest. Observing and precisely defining change, this context, requires both time-series data pixel-wise segmentations. To that end, we propose DynamicEarthNet dataset consists daily, multi-spectral satellite observations 75 selected interest distributed over globe with imagery from Planet Labs. These are paired monthly semantic segmentation labels 7 cover (LULC) classes. first provides...
Few experiments have been performed to investigate near-field egocentric distance estimation in an Immersive Virtual Environment (IVE) as compared the Real World (RW). This article investigates IVEs and RW conditions using physical reach verbal report measures, by apparatus similar that used Bingham Pagano [1998]. Analysis of our experiment shows compression both IVE participants' perceptual judgments targets. is consistent with previous research action space Augmented Reality (AR)....
SUMMARY It is well known that the axial dipole part of Earth’s magnetic field reverses polarity, so North Pole becomes South and vice versa. The timing reversals documented for past 160 Myr, but conditions lead to a reversal are still not understood. if there reliable ‘precursors’ (events indicate upcoming) or what they might be. We investigate machine learning (ML) techniques can reliably identify precursors based on time-series field. basic idea train classifier using segments dipole. This...
Accurate identification of crop phenology timing is crucial for agriculture. While remote sensing tracks vegetation changes, linking these to ground-measured growth stages remains challenging. Existing methods offer broad overviews but fail capture detailed phenological which can be partially related the temporal resolution datasets used. The availability higher-frequency observations, obtained by combining sensors and gap-filling, offers possibility more subtle changes in development, some...
Abstract. Benefiting from the high cadence and spatial resolution of new generation Earth observation satellites, remote sensing technology is allowing us to derive more valuable information for agricultural sector. Crop classification one fundamental derivatives data researchers used food security, crop monitoring, economic assessment. The robustness a model variations in environmental management conditions due time location crucial requirements. To achieve this, we developed novel...
This work proposes a deep learning based method to de-speckle SAR images that does not require noise-free reference data. Instead, our exploits the redundancy between of same area at different times train residual convolutional neural network in regression framework predict speckle-free images. Moreover, thanks end-to-end training network, approach explicit parameter tuning. Experiments show relevance on Sentinel 1 acquired over volcanic areas. The is shown compete well with well-known...
This paper describes the principles, implementation, and outcomes of a new undergraduate database course that uses semester-long project, known as MeTube (a variation well-known YouTube system), to motivate foster interest creativity in students, while providing adequate complexity introduce DBMS concepts techniques. Included our discussion are experiences two offerings, well detailed assessment results.
Abstract Shifting focus In the classic history of landscape architecture, Norman Newton's Design on Land, noted Harvard professor implied he was drawn to profession by a series photographs depicting creation Bronx River Parkway, which appeared in official reports and popular magazines 1910s 1920s.1 Newton reproduced two these images his book (figurer). The first photograph portrayed conditions prior parkway, showing denuded river banks lined small frame houses, privies, factories. second...
Under the sponsorship of European Union's Horizon 2020 program, RapidAI4EO will establish foundations for next generation Copernicus Land Monitoring Service (CLMS) products. The project aims to provide intensified monitoring Use (LU), Cover (LC), and LU change at a much higher level detail temporal cadence than it is possible today. Focus on disentangling phenology from structural in providing critical training data drive advancement community ecosystem well beyond lifetime this project. To...