Tutorials/Post - ICT, GIS, Remote Sensing, Earth System, Humanitarian, Disaster Management, Travel

Author: biplovbhandari Page 2 of 15

Transferring datasets between different buckets in Google Cloud Storage

Google Cloud Storage is great because it allows storing large datasets at a minimum cost. Moreover, if you do processing on the cloud, it’s one of the best providers. Datasets are stored in what’s called a bucket. Sometimes, though it becomes necessary to transfer datasets between one bucket to another bucket. The tutorial … CONTINUE READING

Operational Flood Risk Index Mapping for Disaster Risk Reduction using Earth Observations and Cloud Computing Technologies: a Case Study on Myanmar

People, livelihoods, and infrastructure in Myanmar suffer from devastating monsoonal flooding on a frequent basis. Quick and effective management of flood risk relies on planning and preparedness to ensure the availability of supplies, shelters and emergency response personnel. The mandated government agency Department of Disaster Management (DDM) as well as local and international organizations play … CONTINUE READING

Linking Earth Observations for Assessing the Food Security Situation in Vietnam: a Landscape Approach

Land cover change and its impact on food security is a topic that has major implications for development in population-dense Southeast Asia. The main drivers of forest loss include the expansion of agriculture and plantation estates, growth of urban centers,extraction of natural resources, and water infrastructure development. The design and implementation of appropriate land use … CONTINUE READING

Convert the GPS waypoints to Shapefile

In this document, I will convert the GPS way-points (with photo-link, name, latitude, longitude) into shapefile using arcpy and python modules. Find the example gpx file from this link. Use the following example code and modify according to your need. The photos are in the same folder as the gpx file.… CONTINUE READING

Ditch Snappy to use Graph Processor Tool (GPT) to process your Sentinel-1 Data

Last week, I was doing some testing using the Python API interface for sentinel-1 toolbox with Snappy and the SNAP desktop to see the time taken by each of them. The workflow for processing the data is described here. The results were astonishing. Each and every steps were significantly slower, especially the co-registration process … CONTINUE READING

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