Remote Sensing Mapping of Land Use and Land Cover Changes in Upper Casamance, Senegal, 1987-2018
Boubacar Solly,
El Hadji Balla Dieye,
Oumar Sy
Issue:
Volume 8, Issue 2, December 2020
Pages:
35-49
Received:
6 September 2020
Accepted:
19 September 2020
Published:
28 September 2020
Abstract: In order to study the evolution of land use and the changes in land cover in Upper Casamance, from Landsat images acquired in 1987 and 2018, we used a method of multistage unsupervised classification. Recently developed to mapping and quantification of vegetation land cover changes in West-African coastal, this method is based on the following stages: first classification (K-means) over 15 classes, interpretation of the spectral signatures of the resulting classes followed by reclassification according to the chosen nomenclature, creation of thematic masks, classifications on masks, and finally reclassification. With the only difference, our study aims also to contribute, methodologically, to the knowledge of the spectral profiles of plant formation types. On a thematic level, the results show that between 1987 and 2018, forest areas decreased by 377,118.7 ha (or 27.4%), while wooded areas and agricultural and soil surfaces increased by 263,172.4 ha (or 19.1%) and 1560 75.5 ha (11.3%). In terms of change, deforestation by increasing agricultural and soil surfaces is noted along the border with the Gambia, savanization and anthropization is noted along the central part, and stability of forest surfaces followed by a slight increase in savannas and agricultural and soil surfaces is noted in the south.
Abstract: In order to study the evolution of land use and the changes in land cover in Upper Casamance, from Landsat images acquired in 1987 and 2018, we used a method of multistage unsupervised classification. Recently developed to mapping and quantification of vegetation land cover changes in West-African coastal, this method is based on the following stag...
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Experiments and Analysis Advance R2100 Distance Sensors Used for Safety Systems of TOMI
Chunhua Zhao,
Simon Blackmore,
Sam Wane,
Michael Warbrick
Issue:
Volume 8, Issue 2, December 2020
Pages:
50-57
Received:
12 October 2020
Accepted:
27 October 2020
Published:
4 November 2020
Abstract: In order to increase safety systems reliability of TOMI harvester, it is necessary to use advance R2100 Distance sensors which can scan all kinds of targets and receive data from automatic control system. The Structure and function of R2100 Distance sensors were provided in this paper, In order to determine the best application function of the R2100, effectiveness of R2100 sensors used for TOMI robot with robotic cutting forage were tested and analyzed. For application in precision agricultural engineering automatic control safety systems, static tests were applied with a box, cylinder, cone and person as 4 target samples which were set at different points and lines with each segment at 8° angle within 11 segments, the target samples were set at 0°, 14°, 44°, 74° and 88° angles with the reference of the sensor at centre, respectively, samples represent obstacles such as tractors, telegraph pole, car, and person which were detected and received by TOMI equipped with R2100 Distance sensors. TOMI Robot equipped with R2100 sensors setting at 240, 420 and 850 mm height, respectively, were set location at about 0.2m, 0.3m, 0.5m, 1m, 1.5m, 2m, 2.5m, 3m, 3.5m and then added up to 0.5 m step up to 10 m with the reference of R2100 sensor in semicircle centre, respectively. In dynamistic testing, the target samples were set at the same method and location, and TOMI robot equipped with Advance R2100 sensors was running at speed of 0.8~1.2 m/s from 5 m to the test centre in dynamistic tests. Tests and statistical evaluate results showed that the average R2 on TOMI robot was up to 98.96% in static tests, while the average R2 is up to 98.67% in dynamistic test, and as far as TOMI robot’s safety system, 420 mm height was the best location for scanning all kinds of obstacles. The experiment results showed that the Advance R2100 was accurate sensor for application, it had been carried out on TOMI's intelligence safety systems which more practical and safety working in various fields.
Abstract: In order to increase safety systems reliability of TOMI harvester, it is necessary to use advance R2100 Distance sensors which can scan all kinds of targets and receive data from automatic control system. The Structure and function of R2100 Distance sensors were provided in this paper, In order to determine the best application function of the R210...
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