Land use/land cover change analysis using geospatial techniques: a case of Geba watershed, western Ethiopia

被引:17
作者
Moisa, Mitiku Badasa [1 ]
Dejene, Indale Niguse [2 ]
Hinkosa, Lachisa Busha [1 ]
Gemeda, Dessalegn Obsi [3 ]
机构
[1] Wollega Univ, Fac Technol, Dept Agr Engn, Shambu Campus, Shambu, Ethiopia
[2] Wollega Univ, Coll Nat & Computat Sci, Dept Earth Sci, Nekemte Campus, Nekemte, Ethiopia
[3] Jimma Univ, Coll Agr & Vet Med, Dept Nat Resource Management, Jimma, Ethiopia
来源
SN APPLIED SCIENCES | 2022年 / 4卷 / 06期
关键词
Forest cover change; Maximum likelihood; Spatio-temporal; Supervised classification; LANDSCAPE; DYNAMICS; IMPACT;
D O I
10.1007/s42452-022-05069-x
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Land use/land cover change is a global environmental problem that significantly affects sustainable development and environmental quality. Anthropogenic activities are one of the main driving forces of land use/land cover change in developing countries like Ethiopia. This study is conducted in the Geba watershed in southwestern parts of Ethiopia. This study aimed to analyze the land use/land cover change over the past thirty years using geospatial technologies. The present study uses Landsat TM 1990, Landsat ETM + 2003, and OLI/TIRS 2020 to examine the land use/land cover change between 1990 and 2020. Land use/land cover classes are classified using a supervised classification method with the maximum likelihood technique. Results show that the agricultural land increased significantly, from 1786.6 km(2) (37.2%) in 1990 to 3163.2 km(2) (65.8%) in 2020, representing an increased rate of 45.9 km(2)/year. On the other hand, dense forest has declined from 2129.2 km(2) (44.3%) in 1990 to 1127.8 km(2) (23.5%) in 2020, which declines by the rate of 33.4 km(2)/year. Our findings suggest that sustainable land use planning and management are critically important in the study area.
引用
收藏
页数:10
相关论文
共 35 条
[21]   Land use and land cover changes in a sub-humid Montane forest in an arid setting: A case study of the Marsabit forest reserve in northern Kenya [J].
Muhati, Godwin Leslie ;
Olago, Daniel ;
Olaka, Lydia .
GLOBAL ECOLOGY AND CONSERVATION, 2018, 16
[22]   Forest cover change detection using Geographic Information Systems and remote sensing techniques: a spatio-temporal study on Komto Protected forest priority area, East Wollega Zone, Ethiopia [J].
Negassa M.D. ;
Mallie D.T. ;
Gemeda D.O. .
Environmental Systems Research, 2020, 9 (01)
[23]   Impact of land cover change on aboveground carbon stocks in Afromontane landscape in Kenya [J].
Pellikka, P. K. E. ;
Heikinheimo, V. ;
Hietanen, J. ;
Schafer, E. ;
Siljander, M. ;
Heiskanen, J. .
APPLIED GEOGRAPHY, 2018, 94 :178-189
[24]   Multi-Decadal Forest-Cover Dynamics in the Tropical Realm: Past Trends and Policy Insights for Forest Conservation in Dry Zone of Sri Lanka [J].
Ranagalage, Manjula ;
Gunarathna, M. H. J. P. ;
Surasinghe, Thilina D. ;
Dissanayake, Dmslb ;
Simwanda, Matamyo ;
Murayama, Yuji ;
Morimoto, Takehiro ;
Phiri, Darius ;
Nyirenda, Vincent R. ;
Premakantha, K. T. ;
Sathurusinghe, Anura .
FORESTS, 2020, 11 (08)
[25]  
Sayer J.A., 1992, CONSERVATION ATLAS T, DOI 10.1007/978-1-349-12961-4
[26]   Detecting Forest Changes Using Dense Landsat 8 and Sentinel-1 Time Series Data in Tropical Seasonal Forests [J].
Shimizu, Katsuto ;
Ota, Tetsuji ;
Mizoue, Nobuya .
REMOTE SENSING, 2019, 11 (16)
[27]  
Sultana M S., 2021, Environ. Chall., V4, P100120, DOI DOI 10.1016/J.ENVC.2021.100120
[29]  
Tolessa T, 2017, ECOSYST SERV, V23, P47, DOI [10.1016/j.ecoser.2016.11.010, 10.1080/14728028.2016.1221780]
[30]  
Wolteji B.N., 2022, ENV CHALL, V7, DOI [10.1016/j.envc.2022.100488, DOI 10.1016/J.ENVC.2022.100488]