In this video, NASA Harvest sits down with highly experienced food security specialists, senior market analysts, economists, and remote sensing experts to discuss the near and potential long term impacts of the Russian invasion of Ukraine on global food security and market volatility. In the face of crises that impact global supply chains and the agrifood system on the whole, we discuss how Earth observation data plays a critical role in agricultural monitoring when ground access is limited.
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The NASA Earth Observatory showcases almost two decades of global cropland maps recently produced by Harvest partners from the Global Land Analysis and Discovery (GLAD) lab at the University of Maryland. These maps show global cropland has expanded by an area equivalent to the country of Egypt between 2003 and 2019. This research will assist policymakers in ensuring food production needs are met while also protecting local ecosystems, biodiversity, and in meeting carbon sequestration goals.
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A team of remote sensing researchers, including Harvest's Dr. Mehdi Hosseini, recently evaluated frequently used machine learning models on their ability to accurately estimate common crop characteristics across a variety of commodity crops. Focusing on wheat, canola, and soybeans, the team explored the selected model's accuracy and speed for individual and multi-crop mapping.
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Sarah Brennan, Deputy Program Manager for the Water Resources and Agriculture Applications areas within NASA’s Applied Science Program, was selected for this honor based on her dedication and success in positively impacting NASA operations. Sarah Brennan is a tireless advocate for the Harvest program and has been instrumental in helping the consortium grow since its inception.
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NASA Harvest partners at the Stanford University's Center on Food Security and the Environment, were featured on NASA's Earth Observatory Blog for their work utilizing NASA's GEDI mission to map maize. While GEDI was originally designed for global forest canopy mapping, the team at Stanford realized that given the significant height difference between maize and other crops, GEDI can be repurposed to help monitor this globally important commodity crop.
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Frontiers in Remote Sensing is accepting manuscripts for the special issue "Women in Remote Sensing". The editors hope to see a varied set of submissions from female-led research groups or individuals representing the true breadth of topics within remote sensing, as well as reflecting the array of institutional types, regions, backgrounds, diversity, rank, and organizations. The group of editors for this issue represent four female remote sensing researchers at various stages in their careers who are all excited to lead and engage with these diverse topics. Submissions for this issue are due by September 30th 2022 and the organizers would appreciate an initial reflection of interest also be submitted in the form of an abstract, to allow us to manage submissions and reviews as efficiently and smoothly as possible. Abstracts should ideally be submitted by April 29th 2022.
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The University of Maryland is looking for an Assistant Professor experienced in remote sensing and applying satellite data to Earth System Science. The position will be part of the University's new Center of Excellence in Remote Sensing and has an expected start date of August 2022. Candidates with background experience in SAR remote sensing, hyperspectral remote sensing, and remote sensing fusion are encouraged, though all backgrounds will be considered. Further the position encourages experience in machine learning and data analysis as it applies to remote sensing data. Interested applicants can learn more about the position here.
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NASA Harvest's AI Lead Dr. Hannah Kerner will be giving the keynote address at Planet's AI4EO Food Security Challenge Ceremony. AI4EO, a program within the European Space Agency, tasked participants in the Challenge with developing new ML and AI techniques for crop identification using Planet and Sentinel-1 and -2 data. In addition to the the keynote address, the ceremony will feature pitch presentations from the Top 4 selected solutions. Registration is free and open to the public.
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NASA’s Applied Remote Sensing Training (ARSET) is building off previous agricultural monitoring workshops with a 4 part online advanced training on the use of synthetic aperture radar (SAR) and optical imagery for the mapping of crops and crop characteristics. Training will use data from Sentinel-1, RadarSat, SAOCOM, and Sentinel-2. Participants will also learn about radar polarimetry and receive training in the use of the Sentinel Application Platform (SNAP) and Python for Jupyter Notebooks. Training available in English and Spanish.
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NASA’s Applied Remote Sensing Training (ARSET) is hosting a 3-part online training on the tracking of emissions and removals of carbon dioxide and methane from the atmosphere. The training is in support of the 2023 Global Stocktake – an effort by parties to the Paris Agreement to compile national inventories of GHG budgets. At the end of the training, participants will be able to describe how CO2 and methane budgets are derived using atmospheric measurements and explore the data and products necessary to model these budgets.
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