Assessment of environmental impacts of river basin development on the riverine forests of eastern Kenya using multi-temporal satellite data

被引:29
|
作者
Maingi, JK [1 ]
Marsh, SE [1 ]
机构
[1] Univ Arizona, Off Arid Lands Studies, Arizona Remote Sensing Ctr, Tucson, AZ 85750 USA
关键词
D O I
10.1080/01431160010031298
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
The utility of Landsat MSS (Multispectral Scanner) and SPOT XS data in monitoring the impacts of river basin development on a riverine forest located in the lower Tana River Basin of eastern Kenya was evaluated. Land cover change maps derived from Landsat MSS indicated little change in total forest area between 1975 and 1984. Land cover change maps derived from SPOT XS data indicated a 27% decline in forest area between 1989 and 1996. Mean patch size and area-perimeter ratio of the closed riverine forest remained virtually unchanged whereas these parameters for the open forest class decreased by 31% and 4% respectively. In addition, the average extent of the open riverine forest from the river channel declined by about 200m between 1989 and 1996. This decline was attributed to decreased extent of floods along the floodplain following construction of dams in the upper river basin, and increased exploitation of the forests for fuelwood, especially in the vicinity of the established Bura Irrigation and Settlement Project. The greater lateral movement observed in the location of the river channel for the 1975-1985 period, compared to the 1985-1996 period, was also attributed to construction of dams in the upper river basin.
引用
收藏
页码:2701 / 2729
页数:29
相关论文
共 50 条
  • [41] Evolution of Opencast Mines in the Raniganj Coalfield (India): An Assessment through Multi-temporal Satellite Data
    Patra, Tanmoy
    Dutta, Dipanwita
    Kundu, Arnab
    Kumar, Mukesh
    Hossain, Sk Sabir
    Chattoraj, K. K.
    JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA, 2022, 98 (03) : 387 - 394
  • [42] Using Spatial Autocorrelation Techniques and Multi-temporal Satellite Data for Analyzing Urban Sprawl
    Nole, Gabriele
    Danese, Maria
    Murgante, Beniamino
    Lasaponara, Rosa
    Lanorte, Antonio
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2012, PT III, 2012, 7335 : 512 - 527
  • [43] Estimation of crop parameters using multi-temporal optical and radar polarimetric satellite data
    Betbeder, Julie
    Fieuzal, Remy
    Philippets, Yannick
    Ferro-Famil, Laurent
    Baup, Frederic
    REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY XVII, 2015, 9637
  • [44] Using multi-temporal and multispectral satellite data for coastal change analysis in Marmara Lake
    Yigit, Abdurahman Yasin
    Senol, Halil Ibrahim
    Kaya, Yunus
    GEOMATIK, 2022, 7 (03): : 253 - 260
  • [45] Monitoring shoreline change on Djerba Island using GIS and multi-temporal satellite data
    Bouchahma, Majed
    Yan, Wanglin
    ARABIAN JOURNAL OF GEOSCIENCES, 2014, 7 (09) : 3705 - 3713
  • [46] A highly automated algorithm for wetland detection using multi-temporal optical satellite data
    Ludwig, Christina
    Walli, Andreas
    Schleicher, Christian
    Weichselbaum, Juergen
    Riffler, Michael
    REMOTE SENSING OF ENVIRONMENT, 2019, 224 : 333 - 351
  • [47] Monitoring shoreline change on Djerba Island using GIS and multi-temporal satellite data
    Majed Bouchahma
    Wanglin Yan
    Arabian Journal of Geosciences, 2014, 7 : 3705 - 3713
  • [48] Assessment of post-flooding conditions of rice fields with multi-temporal satellite SAR data
    Lee, KS
    Lee, SI
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2003, 24 (17) : 3457 - 3465
  • [49] Evolution of Opencast Mines in the Raniganj Coalfield (India): An Assessment through Multi-temporal Satellite Data
    Tanmoy Patra
    Dipanwita Dutta
    Arnab Kundu
    Mukesh Kumar
    Sk Sabir Hossain
    K. K. Chattoraj
    Journal of the Geological Society of India, 2022, 98 : 387 - 394
  • [50] Extraction of detailed level flood hazard zones using multi-temporal historical satellite data-sets - a case study of Kopili River Basin, Assam, India
    Sharma, Shivaprasad S., V
    Roy, Parth Sarathi
    Chakravarthi, V
    Srinivasarao, G.
    Bhanumurthy, V
    GEOMATICS NATURAL HAZARDS & RISK, 2017, 8 (02) : 792 - 802