Remote Sensing - Startseite · Remote Sensing Remote sensing is done with Landsat 8 data, MODIS fire data, Finnmap orthophotos, Google Earth and other ... Semi-automatic classification

Remote Sensing

Remote sensing is done with Landsat 8 data, MODIS fire data, Finnmap orthophotos, Google Earth and other websites.Analysis can be done for land cover and land use change determination, tracks verification and measuring changes.The information is integrated into the management plan.

for conservation planning

3D visualization for better understanding of the environment

Semi-automatic classificationis used to interpret the Landsat 8 imagery to know the size of areas under different types of forests, rocky areas or other land cover.

Combining land cover with habitats of key species helps to select the

core zones and to focus the conservation efforts

Semi Automated Classification Results with Landsat 8 Imagery for April 2013, October 2013 and April 2014

Differences are due to the image quality, location of qualification points, detection of forest types and differences in humidity. Clear forest categorization will be difficult.

MODIS datafocussed on fire data for the Hin Nam No regionData from 2001 till June 2014

As fire indicates agricultural expansion, the locations of fire in the last few years can

indicate in which direction expansion is taking place. Also logging can thus be detected and result in active patrolling in the areas found.

Remote sensing is thus an integral part of planning and monitoring of the Hin Nam No NPA