Land cover maps play an integral role in environmental management. However, countries and institutes encounter many challenges with producing timely, efficient, and temporally harmonized updates to their land cover maps. To address these issues we present a modular Regional Land Cover Monitoring System (RLCMS) architecture that is easily customized to create land cover products using … CONTINUE READING
Subscribe to Blog via Email
Other Posts
-
Operational Flood Risk Index Mapping for Disaster Risk Reduction using Earth Observations and Cloud Computing Technologies: a Case Study on Myanmar
December 11, 2019
-
Linking Earth Observations for Assessing the Food Security Situation in Vietnam: a Landscape Approach
December 3, 2019
-
Convert the GPS waypoints to Shapefile
November 17, 2019
-
Ditch Snappy to use Graph Processor Tool (GPT) to process your Sentinel-1 Data
November 7, 2019
-
Land cover Mapping in Data Scarce Environments: Challenges and Opportunities. Another paper on Land Cover
November 5, 2019
-
Primitives as building blocks for constructing landcover maps – New paper out on RLCMS and Google Earth Engine
October 30, 2019
-
Downloading 12.5 m ALOS PALSAR High-Resolution DEM
October 28, 2019
-
Changing the size of the rectangle in Google Earth Engine
October 23, 2019
-
Connected Pixel Counts in Google Earth Engine
October 4, 2019
-
Area Calculation using Google Earth Engine
October 2, 2019
Find By Categories
- ArcGIS (2)
- Artificial Intelligence (1)
- Blog (13)
- conference (5)
- disaster management (6)
- Disaster Response (3)
- drone/uav (2)
- geomatics (45)
- GIS (6)
- Google Earth Engine (30)
- humanitarian (7)
- ict (7)
- it (12)
- Javascript (3)
- Machine Learning (1)
- Paper (8)
- Python (5)
- Remote Sensing (15)
- SDG (2)
- thailand (1)
- Tutorial (19)
- Vietnamese (1)