Siberian Federal University 
- Issue
- Journal of Siberian Federal University. Engineering & Technologies. 2017 10 (6)
- Authors
- Tepanosyan, Garegin O.; Asmaryan, Shushanik G.; Muradyan, Vahagn S.; Sagatelyan, Armen K.
- Contact information
- Tepanosyan, Garegin O.: Center for Ecological-Noosphere Studies NAS RA 68 Abovyan Str., Yerevan, 0025, Armenia; ; Asmaryan, Shushanik G.: Center for Ecological-Noosphere Studies NAS RA 68 Abovyan Str., Yerevan, 0025, Armenia; Muradyan, Vahagn S.: Center for Ecological-Noosphere Studies NAS RA 68 Abovyan Str., Yerevan, 0025, Armenia; Sagatelyan, Armen K.: Center for Ecological-Noosphere Studies NAS RA 68 Abovyan Str., Yerevan, 0025, Armenia
- Keywords
- soil degradation; erosion; overgrazing; remote sensing; linear spetral unmixing; QuickBird imagery
- Abstract
In Armenia soil degradation is determined by different factors, including overgrazing, and is a grave concern in terms of food safety and sustainable development. Assessing soil degradation is essential to reveal probable consequences and potential management measures. This article considers a possibility of determining degradation related soil surface components (fractional vegetation cover – FVC, bare soils fractions – BSF and surface rock cover – SRC) with help of linear spectral unmixing (LSU) and NDVI-SMA methods, using a QuickBird satellite imagery, and their applicability to assessment and mapping of degradation degree of pasturelands. The results have indicated that LSU and NDVI-SMA methods as applied to a QuickBird satellite image gives a unique opportunity to precisely determine FVC and BSF, whereas the proposed soil degradation assessment and mapping method adequately reflects the actual situation
- Pages
- 764-774
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/35010
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).