MyJournals Home  

RSS FeedsRemote Sensing, Vol. 12, Pages 273: Innovative Remote Sensing Methodologies for Kenyan Land Tenure Mapping (Remote Sensing)

 
 

14 january 2020 15:00:05

 
Remote Sensing, Vol. 12, Pages 273: Innovative Remote Sensing Methodologies for Kenyan Land Tenure Mapping (Remote Sensing)
 


There exists a demand for effective land administration systems that can support the protection of unrecorded land rights, thereby assisting to reduce poverty and support national development—in alignment with target 1.4 of UN Sustainable Development Goals (SDGs). It is estimated that only 30% of the world’s population has documented land rights recorded within a formal land administration system. In response, we developed, adapted, applied, and tested innovative remote sensing methodologies to support land rights mapping, including (1) a unique ontological analysis approach using smart sketch maps (SmartSkeMa); (2) unmanned aerial vehicle application (UAV); and (3) automatic boundary extraction (ABE) techniques, based on the acquired UAV images. To assess the applicability of the remote sensing methodologies several aspects were studied: (1) user needs, (2) the proposed methodologies responses to those needs, and (3) examine broader governance implications related to scaling the suggested approaches. The case location of Kajiado, Kenya is selected. A combination of quantitative and qualitative results resulted from fieldwork and workshops, taking into account both social and technical aspects. The results show that SmartSkeMa was potentially a versatile and community-responsive land data acquisition tool requiring little expertise to be used, UAVs were identified as having a high potential for creating up-to-date base maps able to support the current land administration system, and automatic boundary extraction is an effective method to demarcate physical and visible boundaries compared to traditional methodologies and manual delineation for land tenure mapping activities.


 
193 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 12, Pages 272: Continuous Tracking of Targets for Stereoscopic HFSWR Based on IMM Filtering Combined with ELM (Remote Sensing)
Remote Sensing, Vol. 12, Pages 275: Do Game Data Generalize Well for Remote Sensing Image Segmentation? (Remote Sensing)
 
 
blog comments powered by Disqus


MyJournals.org
The latest issues of all your favorite science journals on one page

Username:
Password:

Register | Retrieve

Search:

Physics


Copyright © 2008 - 2024 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Nachrichten