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

Author: biplovbhandari Page 1 of 14

Comparing Sentinel-1 Surface Water Mapping Algorithms and Radiometric Terrain Correction Processing in Southeast Asia Utilizing Google Earth Engine

Satellite remote sensing plays an important role in the monitoring of surface water for historical analysis and near-real-time applications. Due to its cloud penetrating capability, many studies have focused on providing efficient and high-quality methods for surface water mapping using Synthetic Aperture Radar (SAR). However, few studies have explored the effects of SAR pre-processing steps … CONTINUE READING

Creating NDVI based thresholded thematic map from MODIS

In this tutorial, we will use the MODIS based V6 Terra Vegetation Indices 16-Day Global 250m product. This MODIS NDVI and EVI products are computed from atmospherically corrected bi-directional surface reflectances that have been masked for water, clouds, heavy aerosols, and cloud shadows. We will use this product to create NDVI based threshold classified thematic … CONTINUE READING

Predictive Analytics for Identifying Land Cover Change Hotspots in the Mekong Region

Understanding land cover change dynamics and potential pathways of change is of critical importance for sustainable resource management, to promote food security and resilience on a range of spatial scales. Data scarcity is a key concern, however, with the availability of free Earth Observation (EO) data, such challenges can be suitably addressed. In this research, … CONTINUE READING

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

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