🌍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.
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
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
2K Followers 850 FollowingOwl at @satelligenceEO, RemoteSensing, OpenSource, theSwarm, Containers, Patterns. “Bacteria that turns shit into fuel” - the Mouth of Joe.
566 Followers 6K Following🇰🇪,passionate on increasing returns from smallholder 👩🌾.Works @TaitaTaveta006 , Agri Dep.Catch me @smartagricare- ag tweet @unimelb alumni.Views are my own
406 Followers 4K Followinghttps://t.co/BJZIQV9YPu. (Hons) Geography🗺️🌏📗Student at Amity Institute of Geo-Informatics and Remote Sensing 📡🛰) Cryosphere, Geomorphology, Atmospheric science.
25 Followers 120 FollowingDr Moshiur Rahman is a senior researcher with more than 10 years’ experience in precision agricultural technologies, Remote Sensing and Crop-climate Modelling.
519 Followers 2K FollowingInterests in AI with focus on remote sensing. Works as engineer in a project monitoring forests with remote sensing and AI In Schleswig-Holstein (Germany).
5K Followers 2K FollowingGain more value from data by connecting it across hundreds of sources with FME – the # 1 platform for integrating spatial data. #FME #DataIntegrationPlatform
2K Followers 850 FollowingOwl at @satelligenceEO, RemoteSensing, OpenSource, theSwarm, Containers, Patterns. “Bacteria that turns shit into fuel” - the Mouth of Joe.
5K Followers 2K FollowingGain more value from data by connecting it across hundreds of sources with FME – the # 1 platform for integrating spatial data. #FME #DataIntegrationPlatform
781 Followers 926 FollowingArchaeologist and remote sensing specialist at Newcastle University @ArchaeologyNCL. NUAcT fellow in sustainable ancient water management.
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298 Followers 934 Following25+ Yrs in the Weather Business | Data | Forecasts | Frost Freeze Alerts | Agriculture | Energy | Construction | Analytics | https://t.co/MeeGRKkZkk
2K Followers 1K Following1. Brauchen wir keinen Raumbezug und 2. ist die Erde eine Scheibe. 1. we do not need a spatial reference and 2. the earth is a disc.