scholarly journals Landsat Imagery Monitoring and Quantification of the Land Cover Changes in the Kan Watershed at Tiébissou (Center of Côte d'Ivoire)

2019 ◽  
Vol 8 (1) ◽  
pp. 2889-2900
Author(s):  
Aimé Koudou ◽  
◽  
Cristian Constantin Stoleriu ◽  
Koffi Fernand Kouamé ◽  
Alin Mihu-Pintilie ◽  
...  
Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 429
Author(s):  
Jean-Luc Kouassi ◽  
Amos Gyau ◽  
Lucien Diby ◽  
Yeboi Bene ◽  
Christophe Kouamé

Deforestation and land degradation remain two major economic and environmental threats in Côte d’Ivoire. This study assessed land use and land cover (LULC) change and farmers’ perceptions of the drivers and effects of deforestation and land degradation in south-western Côte d’Ivoire. We used remotely sensed data to determine LULC change trends, and a household survey to collect farmers’ perceptions of deforestation and land degradation. A total of 411 households were interviewed using a structured questionnaire and the focus group discussions involved 25 farmers. Landsat image analysis reported a drastic LULC change and a conversion of forestlands into agriculture from 1987 to 2015 at a rate of 1.44%/year and 3.44%/year for dense forests and degraded forests, respectively. The household survey revealed that the major causes of deforestation perceived by farmers included population growth (79.3%), extensive agriculture (72.9%), migration (54.2%) and logging (47.7%). Land degradation evolved, from a shortened fallow period (46.7%) and an inappropriate application of inputs (31.4%). The perceived major effects linked to deforestation encompassed land degradation (70.6%), loss of biodiversity (63.8%), global warming (56.9%) and loss of livelihood assets (54.3%). Therefore, this study recommends participatory landscape planning, reforestation and capacity building of stakeholders for sustainable intensification of the production systems to reduce LULC challenges for enhanced productive and protective functions of remaining forests.


2019 ◽  
Vol 4 (5) ◽  
pp. 12-20
Author(s):  
Kouakou Guy-Casimir Douffi ◽  
Moussa Koné ◽  
Kouadio Ignace Kouassi ◽  
Yao Joachim N’Guessan ◽  
Adama Bakayoko

The deforestation is a major problem in Côte d’Ivoire. Monogaga protected forest is strongly cleared for agriculture. Thus, the research aims to determine the influence of the farmer’s occupancies on the forest dynamic. The supervised classification by Neural net has been applied with success to Landsat imagery of 1986 and 2017. It has been preceded by the vegetation physiognomic characterization. The vegetation units are the closed forest, the degraded forest and the fallow-crops. The neural Net classification has been used to discriminate the closed forest area. To the dynamic level, the loss of closed forest proportion between 1986 and 2017 is 86.52%. The annual deforestation rate in regular (linear) and irregular (exponential) level is respectively 2.88% and 6.46% on 30 years. The anthropogenic units descended of the degradation represent some more 90 % of land cover, with a contribution of the crops at more than 40%. These same units are also implied in regeneration to a proportion of some more 90%, always with the crops proportion of 60%. Several mutations are in use. It’s the degradation, conservation and regeneration, with a predominance of degradation. The result shows the bad conservation. This survey showed that the protected forest is submitted to agricultural pressure and all other anthropogenic activities. It is important to have a forest conservation politics and more efficient management.


2018 ◽  
Vol 14 (33) ◽  
pp. 408
Author(s):  
Touao Kah Martine Gauze ◽  
Kouamé Yao Morton ◽  
Mélèdje N’diaye Hermann ◽  
Sékongo Guénolé Largaton ◽  
Soro Gnéneyougo Emile

The main objective of this study is to asssess the impacts of climate change and land cover change on the hydrology of the Davo river basin located in southwestern of Côte d'Ivoire. Two scenarios of climate change (A2 and B2) and two scenarios of land cover called scenario 1 (deforestation) and scenario 2 (reforestation) were established, and streamflows under these scenarios were simulated by the hydrological model CEQUEAU. Each scenario showed distinct variations in streamflows. Regarding the impacts of land cover change, scenario 1 and scenario 2 indicate increases of 10.6% and 1%, respectively. As for the impacts of climate change, climate models predict a very wide range of possible changes in streamflows. The multimodel approach indicates a decrease in streamflows of 0.5% and 2.75% respectively under the A2 and B2 scenarios by 2050. By 2080, streamflows would increase by 14.75% under the scenario A2 and 3.5% under scenario B2. In order to implement adaptation and mitigation strategies, Representative Concentration Pathways (RCP) scenarios should be used, regional climate models should be applied, and combined assessments of the impacts of climate change and land cover should be made.


2019 ◽  
Vol 13 (4) ◽  
pp. 369-374
Author(s):  
A. Yao ◽  
A. Hué ◽  
J. Danho ◽  
P. Koffi-Dago ◽  
M. Sanogo ◽  
...  

2009 ◽  
Vol 48 (4) ◽  
pp. 323-325
Author(s):  
Drissa Kone ◽  
Amani N’Goran ◽  
Diomandé Ve

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