| dc.contributor.author | Baldygal, TJ | |
| dc.contributor.author | Miller, SN | |
| dc.contributor.author | Driese, KL | |
| dc.contributor.author | Gichaba, MC | |
| dc.date.accessioned | 2013-07-03T06:46:42Z | |
| dc.date.available | 2013-07-03T06:46:42Z | |
| dc.date.issued | 2005 | |
| dc.identifier.citation | XX International Grassland Congress: Offered Papers. , Wageningen- Netherlands: Wageningen Academic Publishers | en |
| dc.identifier.uri | http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/44390 | |
| dc.description.abstract | In developing nations where resources are scarce and increased population pressures create stress on available resources. methods are needed to examine effects of human migration and resultant changes in land cover. Widespread availability and low cost of remotely sensed imagery and Geographic Information Systems (GIS) are making such methods a reality to develop quantitative resource mapping and land cover change detection in developing nations (Sheng et al.. l997). However, difficulties arise in tropical regions When trying to analyze traditional vegetation bands (Bands 3 and 4). or indices such as NDVI because saturated pixels limit spectral distinction. | en |
| dc.language.iso | en | en |
| dc.publisher | University of Nairobi | en |
| dc.title | Using Landsat Imagery to Analyse Land Cover Change in the Njoro Watershed, Kenya | en |
| dc.type | Article | en |
| local.publisher | Department of Geology | en |
