Forest loss of Sarlahi, Nepal between 2010 and 2013

The past few decades have seen high levels of deforestation and forest degradation in the Hindu Kush Himalayan (HKH) region. In this context, under SERVIR Himalaya programme, ICIMOD has developed forest cover monitoring system to identify forest change hotspot areas which need critical forest management attention in four pilot areas. This forest loss data of Sarlahi, Nepal between 2010 and 2013 has been developed using LandSat 8 data in a semi-automated manner as part of the forest cover monitoring system.

Date ( Publication ): 2013-11-30

Author

ICIMOD - Mr. Kabir Uddin ( Associate Remote Sensing Specialist )

Nepal

977-1-5275222

Purpose: Develop forest cover change detection methodology using multi temporal Landsat data. Evaluate and verify change reporting in terms of size, type and frequency of change using Landsat multi resolution satellite data.

Credit: This dataset has been developed by SERVIR Himalaya. SERVIR is a joint USAID-NASA project. For more information on SERVIR, visit http://www.servirglobal.net. For references, use: International Centre for Integrated Mountain Development (ICIMOD), SERVIR Himalaya. Forest Cover Monitoring Hot-Spots using LANDSAT. Nov 2013.http://apps.geoportal.icimod.org/forestmonitoring/

Status: Completed

Maintenance and update frequency: As needed

GEOSS THEME ( Theme )

Forest loss
forest hotspots
servircat
icimod-servir
geo-biodiversity

Keywords ( Place )

Sarlahi
Nepal

Use limitation: geossDataCore

Use limitation: The SERVIR Project, NASA, USAID and ICIMOD make no express or implied warranty of this data as to the merchantability or fitness for a particular purpose. Neither the US Government nor its contractors shall be liable for special, consequential or incidental damages attributed to this data.

Use limitation: Free to use with attribution to the source. Suggested citation:

ICIMOD. (2013). Forest loss of Sarlahi, Nepal between 2010 and 2013 [Data set]. ICIMOD. https://doi.org/10.26066/rds.23020

Use limitation: Users are permitted to copy, use, adapt, and redistribute SERVIR data without limitations. SERVIR encourages users to keep any adapted or redistributed versions of this data freely available for public use.