Explore "Data Privacy: A Look at What We Can and Cannot Do," a self-paced online course designed to empower you with knowledge about your rights as data subjects under the Data Privacy Act (DPA) 2012. Gain insights into essential data privacy practices and foster a privacy-conscious mindset.
About the Course:
The course covers primarily two remote sensing platforms, namely, satellites and unmanned aerial vehicles (UAV). The course introduces and describes the different satellites, the different sensors and bands, the process of data collection from satellites, and the types of remote sensing systems. The course also presents the basic concepts and principles of remote sensing tools, including spectral signatures, image analysis, and image classification. In addition to satellites, the course also presents the basic concepts of drones, the different types of UAVs, and the use of light detection or ranging (LiDAR).
Applications of remote sensing and LiDAR are also described, particularly in agriculture, soil and land use change, disease detection and infestation, and others.
About the Course:
The course covers an introduction to Geographic Information Systems (GIS) describing the basic principles, definitions, and components of GIS. The course provides basic concepts such as geographic data including spatial and attribute data, coordinate systems, the different feature types, and two data types, namely; vector and raster data. The two commonly used software, ArcGIS and Quantum GIS (QGIS) are also described. GIS functionalities and capabilities such as data capture, data management, manipulation, mapping, and spatial analysis are also described. The use of Map Algebra and Raster Calculator in spatial analysis is also described briefly, including general applications in ecology, agriculture, forestry, natural resource management, and environmental science.
About the Course:
The course provides an overview of Geographic Information Systems (GIS) and its application to agriculture, including forestry and environmental sciences. The course covers an introduction to GIS and other geospatial technologies such as Google Maps, Google Earth, satellites, and remote sensing. GIS functionalities and capabilities such as data capture, mapping, and spatial analysis are also described. Applications described include crop suitability analysis and hazard mapping like flooding, buffering, and overlay. Advanced applications such as precision agriculture, smart farming, the Internet of Things, and artificial intelligence are also briefly described.