ICAR Research Data Repository for Knowledge Management
Crop type identification using multi-temporal and multi-spectral satellite images for Gumara- Maksegnit watershed
MELSpace
View Archive Info| Field | Value | |
| Title |
Crop type identification using multi-temporal and multi-spectral satellite images for Gumara- Maksegnit watershed
|
|
| Creator |
Kibruyesfa, Sisay
|
|
| Contributor |
Ziadat, Feras M.
|
|
| Description |
Land use/land cover changes and their impacts on terrestrial ecosystems including forestry, agriculture and biodiversity have been identified as high priority issues at global, national, and regional levels (Lesschen et al., 2005; Fuchs, 1996; Li et al. 2009).
|
|
| Date |
2016-12-31
2017-02-13T12:51:16Z 2017-02-13T12:51:16Z |
|
| Type |
Book Chapter
|
|
| Identifier |
https://mel.cgiar.org/reporting/download/hash/pdIZ2wE6
Sisay Kibruyesfa, Feras M. Ziadat. (31/12/2016). Crop type identification using multi-temporal and multi-spectral satellite images for Gumara- Maksegnit watershed, in "Mitigating land degradation and improving livelihood: An integrated approach. ". New York, United States: Taylor & Francis (Routledge). https://hdl.handle.net/20.500.11766/5742 Limited access |
|
| Language |
en
|
|
| Rights |
CC-BY-NC-4.0
|
|
| Format |
PDF
|
|
| Publisher |
Taylor & Francis (Routledge)
|
|