Spatial YellowPage @spatialYP
The YellowPage for all spatial data and product listings! ✉️ [email protected] spatialyellowpage.vercel.app World Joined September 2022-
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🌍Happy #WorldEnvironmentDay 2024! 🌿 We all have a role in protecting our planet. Simple actions: 1. Reduce waste 2. Save energy & water 3. Support reforestation 4. Use eco-friendly transport Together, we can create a sustainable future! 🌏 #Sustainability #GISForGood
Welcome to June! As we enter the peak of summer, let's embrace the extended daylight and vibrant energy of the season. Wishing everyone a month of productivity, growth, and meaningful achievements. #NewMonth #June #ProfessionalGoals #gis
Whether you're focused on large-scale monitoring or precise field-level management, the integration of these technologies will be pivotal in driving the future of sustainable agriculture. #research #agric #geospatial #opensource #gis #dataset #data
- Open Data Cube: Provides analysis-ready satellite data tailored for agriculture research. By harnessing these diverse spatial data sources, agricultural researchers and practitioners can gain deeper insights, optimize resource use, and enhance crop productivity.
4. Weather Data Accurate weather data is crucial for predicting and managing crop performance. Key sources include: - NOAA (National Oceanic and Atmospheric Administration): Offers extensive climatic data and forecasts. - Local Weather Stations: Provide real-time weather data
- Variable Rate Technology (VRT): Applying inputs like fertilizers and pesticides at variable rates across a field to optimize use and reduce waste. - Yield Monitoring: Collecting data on crop yields in real-time to analyze performance and make informed decisions.
3. GPS and GIS Systems Global Positioning System (GPS) and Geographic Information System (GIS) technologies are fundamental for precision agriculture, allowing for: - Field Mapping: Creating detailed maps for soil types, crop yields, and pest infestations.
NDVI (Normalized Difference Vegetation Index) analysis. - Soil and Irrigation Management: Assessing soil moisture levels and optimizing irrigation schedules. - Plant Phenotyping: Detailed monitoring of plant traits and growth patterns.
2. UAVs (Drones) Unmanned Aerial Vehicles (UAVs) equipped with multispectral and thermal sensors can capture high-resolution images at a lower cost and with more flexibility than satellites. They are perfect for: - Crop Health Monitoring: Identifying stress areas through
Explore Spatial Data Sources for Agriculture Research: From Crop Monitoring to Precision Farming In the age of digital agriculture, spatial data has become a cornerstone for advancing research and optimizing farming practices. Whether you're involved in
- Sentinel Satellites (Copernicus Program): Delivers high-resolution imagery for detailed crop health analysis. - MODIS (Moderate Resolution Imaging Spectroradiometer): Provides daily global data, aiding in tracking seasonal changes and vegetation health.
1. Satellite Imagery Satellites provide comprehensive coverage and frequent updates, making them ideal for large-scale agricultural monitoring. Key providers include: - Landsat Program: Offers historical data dating back to the 1970s, useful for long-term agricultural studies.
crop monitoring, soil health assessment, or precision farming, leveraging the right spatial data sources can significantly enhance your research and operational efficiency. Here’s a guide to some of the most valuable spatial data sources in agriculture:
Spatial data visualization transforms complex datasets into compelling visual stories, making data more accessible and understandable. By leveraging these tools, you can gain deeper insights, share your findings more effectively, and drive better decision-making.
[ArcGIS Online](arcgis.com). - Create a Map: Use the Map Viewer to add layers and customize the basemap. - Analysis Tools: Leverage built-in analysis tools to perform spatial queries and generate heat maps. Tutorial Highlight: Build an interactive map
Ọmọwọnúọlá ... @Svelte_mo
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Charles 🇰🇪 @charlsonyango
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Mahadou @propmamadou
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carrajeen @carrajeen
122 Followers 358 Following Najeen PhD candidate studying Asparagopsis in the Great Barrier Reef from 🇵🇭 currently in 🇦🇺 Views expressed are my own.
Daniel Redel @DannyRedel
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ISAXON @isaxonWorldwide
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Dr Muhammad Moshiur R... @MoshiRahman18
24 Followers 118 Following Dr Moshiur Rahman is a senior researcher with more than 10 years’ experience in precision agricultural technologies, Remote Sensing and Crop-climate Modelling.
Juliet Ibenegbu @JulietAmaka18
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Samantha Wittke @swittke1
267 Followers 605 Following Application specialist @CSCfi | Community manager @coderefine | #PhDStudent at @fgi_nls & @AaltoUniversity | #RemoteSensing #Geoinformatics
Sricharan Srivatsa @meesacharan
189 Followers 2K Following Enjoy watching fluid football I Data Viz Noob I
Tim Gattinger @GattingerTim
513 Followers 2K Following Interests in AI with focus on remote sensing. Works as engineer in a project monitoring forests with remote sensing and AI In Schleswig-Holstein (Germany).
Sridhar Gutam, PhD, A... @SridharGutam
407 Followers 2K Following Alumni @iaripusa1, @IIMAhmedabad | ARS @icarindia @ICAR_IIHR | Convenor @OAIndia @IndiaRxiv @asia_open | Joint Sec @iarialumni | Org. Sec. @doasummit2026
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RACHELLE @omo_kosoko
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Levi @levikul09
39K Followers 196 Following I explain Data Science on Grandma's level. Writing https://t.co/25jLCDRZms
Matt Dancho (Business... @mdancho84
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Horacio @ahbritos
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听音 @wengqian053
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Melati @melati_aj
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#geoObserver 🌍🔭... @geoObserver_
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