Recent land-cover/use change associated with land degradation in the Lake Baringo catchment, Kenya, East Africa: evidence from Landsat TM and ETM

被引:76
作者
Kiage, L. M.
Liu, K.-B.
Walker, N. D.
Lam, N.
Huh, O. K.
机构
[1] Louisiana State Univ, Inst Coastal Studies, Earth Scan Lab, Baton Rouge, LA 70803 USA
[2] Louisiana State Univ, Dept Oceanog & Coastal Sci, Baton Rouge, LA 70803 USA
[3] Dept Oceanog & Coastal Sci, Baton Rouge, LA 70803 USA
[4] Louisiana State Univ, Dept Environm Studies, Baton Rouge, LA 70803 USA
关键词
D O I
10.1080/01431160701241753
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Many parts of East Africa are experiencing dramatic changes in land-cover/ use at a variety of spatial and temporal scales, due to both climatic variability and human activities. Information about such changes is often required for planning, management, and conservation of natural resources. Several methods for land cover/change detection using Landsat TM/ETM+ imagery were employed for Lake Baringo catchment in Kenya, East Africa. The Lake Baringo catchment presents a good example of environments experiencing remarkable land cover change due to multiple causes. Both the NDVI differencing and post-classification comparison effectively depicted the hotspots of land degradation and land cover/use change in the Lake Baringo catchment. Change-detection analysis showed that the forest cover was the most affected, in some sections recording reductions of over 40% in a 14-year period. Deforestation and subsequent land degradation have increased the sediment yield in the lake resulting in reduction in lake surface area by over 10% and increased turbidity confirmed by the statistically significant increase ( t5284.699, p, 0.001) in the albedo between 1986 and 2000. Although climatic variations may account for some of the changes in the lake catchment, most of the changes in land cover are inherently linked to mounting human and livestock population in the Lake Baringo catchment.
引用
收藏
页码:4285 / 4309
页数:25
相关论文
共 76 条
[1]  
Aloo PA, 2002, ADV GLOB CHANGE RES, V12, P335
[2]  
[Anonymous], REMOTE SENSING NATUR
[3]   A comparative analysis of scanned maps and imagery for mapping applications [J].
Armenakis, C ;
Leduc, F ;
Cyr, I ;
Savopol, F ;
Cavayas, F .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2003, 57 (5-6) :304-314
[4]   A biogeophysical approach for automated SWIR unmixing of soils and vegetation [J].
Asner, GP ;
Lobell, DB .
REMOTE SENSING OF ENVIRONMENT, 2000, 74 (01) :99-112
[5]   An assessment of radiance in Landsat TM middle and thermal infrared wavebands for the detection of tropical forest regeneration [J].
Boyd, DS ;
Foody, GM ;
Curran, PJ ;
Lucas, RM ;
Honzak, M .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1996, 17 (02) :249-261
[6]   An improved strategy for regression of biophysical variables and Landsat ETM+ data [J].
Cohen, WB ;
Maiersperger, TK ;
Gower, ST ;
Turner, DP .
REMOTE SENSING OF ENVIRONMENT, 2003, 84 (04) :561-571
[7]  
Cohen WB, 1998, PHOTOGRAMM ENG REM S, V64, P293
[8]  
Collins JB, 1999, PHOTOGRAMM ENG REM S, V65, P41
[9]   CHANGE DETECTION USING THE GRAMM-SCHMIDT TRANSFORMATION APPLIED TO MAPPING FOREST MORTALITY [J].
COLLINS, JB ;
WOODCOCK, CE .
REMOTE SENSING OF ENVIRONMENT, 1994, 50 (03) :267-279
[10]  
Congalton R., 2019, Assessing the accuracy of remotely sensed data: principles and practices