Change search
ReferencesLink to record
Permanent link

Direct link
Reaching the 2014 UN New York Declaration on Forests Goals, using satellites to monitor global value chains
Stockholm University, Faculty of Social Sciences, Department of Human Geography.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This master thesis in geography investigates how remote sens- ing can be used in Transnational Corporations (TNC) global Corporate Social Responsibility (CSR) initiatives. The study aims to delineate an accurate method in remote sensing to be used to monitor deforestation in global value chains. Research questions asked are 1) What are the current monitoring practises used by TNCs to monitor global value chains? 2) Which is the most user-friendly and accurate remote sensing technique to map deforestation? 3) How can remote sensing successfully be implemented in TNCs CSR-initiatives? The study is approached from two perspectives, building on theories of value chains, and qualitative methods to answer the first research question. While the second question is a method study, investigating how well a spectral approach versus a contextual approach can map deforest- ation in Landsat scenes. The results are compared with Global Forest Watch (GFW), and the highest accuracy were acquired from the WICS (Window Indipendent Context Segmentation) technique. Conclusions includes that remote sensing can be used in CSR initiatives, to establish a baseline level or as a fifth dimen- sion in a score sheet approach. However, inconclusive mapping of value chains are a big hinder today. 

Place, publisher, year, edition, pages
2015. , 113 p.
Keyword [en]
Remote Sensing, CSR, Value chains, Deforestation NDVI, WICS.
National Category
Human Geography
URN: urn:nbn:se:su:diva-128585OAI: diva2:915696
Available from: 2016-03-31 Created: 2016-03-30 Last updated: 2016-03-31Bibliographically approved

Open Access in DiVA

fulltext(9279 kB)24 downloads
File information
File name FULLTEXT01.pdfFile size 9279 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
Department of Human Geography
Human Geography

Search outside of DiVA

GoogleGoogle Scholar
Total: 24 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 74 hits
ReferencesLink to record
Permanent link

Direct link