A5064295256- Remote Sensing and Land Use
- Remote Sensing in Agriculture
- Remote-Sensing Image Classification
- Environmental Impact and Sustainability
- Agriculture Sustainability and Environmental Impact
- Land Use and Ecosystem Services
- Soil and Land Suitability Analysis
- Water-Energy-Food Nexus Studies
- Data Visualization and Analytics
- Water Resources and Sustainability
- Global Energy and Sustainability Research
- Digital Games and Media
- Educational Games and Gamification
- Education and Digital Technologies
- Impact of Technology on Adolescents
- Cultural, Media, and Literary Studies
National Institute for Space Research
2013-2023
Abstract There is an urgent need for countries to transition their national food and land-use systems toward nutritional security, climate stability, environmental integrity. How can satisfy demands while jointly delivering the required transformative change achieve global sustainability targets? Here, we present a collaborative approach developed with FABLE—Food, Agriculture, Biodiversity, Land, Energy—Consortium reconcile both elements developing system pathways. This includes three key...
Abstract The achievement of several sustainable development goals and the Paris Climate Agreement depends on rapid progress towards food land systems in all countries. We have built a flexible, collaborative modeling framework to foster national pathways by local research teams their integration up global scale. Local researchers independently customize models explore mid-century use system transformation collaboration with stakeholders. An online platform connects models, iteratively...
The availability of a large amount remote sensing data made Earth Observation increasingly accessible and detailed. High temporal spatial resolution sensors are responsible for making available sets time series in unprecedented proportions. Within this context, the use efficient segmentation algorithms imagery represents an important role scenario, because they provide homogeneous regions space-time hence simplify set. In addition, spatio-temporal can bring new way interpreting by means...
Land-use and land-cover change (LULCC) models are important tools for environmental policy planning. LULCC frequently constrained to the generation of projections at a specific resolution. However, subsequent studies or may require finer resolutions. In this work, downscaling method is proposed that uses mathematical programming approach disaggregate multiple layers land-use while respecting series constraints. The calibrated validated with MapBiomas data years 2000 2018 converted...
With the amount of multitemporal and multiresolution images growing exponentially, number image segmentation applications is recently increasing and, simultaneously, new challenges arise. Hence, there a need to explore concepts techniques that make use data temporality. This study describes spatio-temporal adapts traditional region technique detect homogeneous regions in space time optical remote sensing images. Tests were conducted by considering Dynamic Time Warping measure as homogeneity...
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