Tuesday, December 22, 2020

Cloudless Atlas Laos 2020

To track down new hydro power reservoir and schemes I've downloaded most 2020 Landsat 8 scenes of northern Laos and applied my cloudless script.

Cloudless Atlas Laos 2020
Northern Laos

Friday, December 20, 2019

The Nam Ngiep Hydropower Scheme

Just recently I continued mapping the Nam Ngiep hydropower scheme, see also my previous post about Nam Ngiep 1.

So far my findings:

Nam Ngiep1

Friday, December 7, 2018

Yet Another Hydropower Dam: Nam Ngiep 1

Meanwhile Nam Ngiep 1 dam has been completed and the reservoir has been filled during rainy season in 2018. I.e., it's high time to put in on the map!
Nam Ngiep 1 reservoir area in January 2018

Wednesday, November 1, 2017

New hydropower dam: Nam Phay

Just recently I've put the Nam Phay hydropower reservoir on the map!

During Lao New Year 2014 I had the chance to visite this area, see pictures below:
The Nam Phay reservoir area in Januar 2015

Saturday, November 26, 2016

Another Hydropower dam: Xekaman 1

Just recently I've found by chance the Xekaman 1 hydropower reservoir on Landsat 8 imagery. Time to put it on the map!

The Xekaman river area recorded on 24th January 2015, just before water storage started

Sunday, November 29, 2015

Raster math in GRASS GIS using numpy

Houay Lamphan Gnai, yet another hydropower plant just started commercial operations recently with a reservoir area of seven square kilometers as reported by local media. Time to put it on OpenStreetMap using up-to-date Landsat 8 imagery and the new GRASS GIS 7 plugin for QGIS 2.12. To get familiar with GRASS GIS' interface to numpy, I've decided to extract the reservoir using numpy.

Houay Lamphan Gnai on Landsat 8 image
Houay Lamphan Gnai on Landsat 8 image taken on the 23rd Oct, 2015

Thursday, August 14, 2014

Web Map Service with PyCairo and Pyramid

From time to time I have the chance to work with PyCairo, the Python bindings to the cairo graphic library. I appreciate this library because it allows to draw graphics primitives so super fast and thus it is very suitable to use it in web projects.
After my trials with GRASS GIS as WMS backend I thought I could create a raster web map service with improved performance by using PyCairo instead of GRASS GIS as renderer.

Zoom in - it is a super fast WMS!