Since I’ve first been involved in GIS works, I have always used ICIMOD LULC data for Koshi basin and for Nepal as a whole, because it has good classification measures and always met my needs. But there is a slight problem that last LULC map was published in 2010. They have yet to publish any LULC map for the 2020s. Last week, Esri published a land use land cover map of the entire world at 10m resolution. Even if the resolution was great, the spatial information in the increased pixel numbers was unsatisfactory.
With recent completion of my “15 days GIS project based course” with good success, I had to distribute certificates for the same to learners. So, I planned to create a verification portal for verification of digital course completion certificates as digital certificates can be easily duplicated. I had to strictly pursue free and long-lasting approach as the verification portal has to last for years to come. Survey123 of ArcGIS supposedly does this easily, but it was not a free service
Artificial intelligence has impacted almost every industrial sector, and civil engineering has now joined the bandwagon. According to McKinsey’s report, the civilian construction industry has a net worth of more than $ 10 trillion a year and is one of the largest consumer bases. This is because civil engineering was one of the few areas where the basic methods of brick making and concrete were the same during the century. However, the construction industry is undergoing another industrial revolution, one
The world’s oceans and fisheries are at a turning point. Over a billion people depend on wild-caught fish for their primary source of protein. Fisheries are intertwined with global food security, slave labor issues, livelihoods, sovereign wealth and biodiversity but our fisheries are being harvested beyond sustainable levels. Fish populations have already plummeted by 90 percent for some species within the last generation, and the human population is only growing larger
A startup called Doxel launched today with the promise that its robots and artificial intelligence hold the key to solving late and over-budget construction projects. The company uses robots to autonomously capture 3D scans of construction sites and then feeds that data into a deep neural network that classifies how far along different sub-projects are. If things seem out of whack, the management team can step in to deal with small problems before they become major issues.