Downloads provided by UsageCountsEvaluating the Performance of Palmer Drought Severity Index (PDSI) In Various Vegetation Regions of the Ethiopian Highlands
Copyright policy ) Lemenkova, Polina;
Evaluating the Performance of Palmer Drought Severity Index (PDSI) In Various Vegetation Regions of the Ethiopian Highlands
AbstractThis paper focuses on the environment of Ethiopia, a country highly sensitive to droughts severely affecting vegetation. Vegetation monitoring of Ethiopian Highlands requires visualization of environmental parameters to assess droughts negatively influencing agricultural sustainable management of crops. Therefore, this study presented mapping of several climate and environmental variables including Palmer Drought Severity Index (PDSI). The data were visualized and interpreted alongside the topographic data to evaluate the environmental conditions for vegetation. The datasets included WorldClim and GEBCO and Digital Chart of the World (DCW). Research has threefold objectives: i) environmental mapping; ii) technical cartographic scripting; iii) data processing. Following variables were visualized on seven new maps: 1) topography; 2) soil moisture; 3) T °C minimum; 4) T °C maximum; 5) Wind speed; 6) Precipitation; 7) Palmer Drought Severity Index (PDSI). New high-resolution thematic environmental maps are presented and the utility of GMT for mapping multi-source datasets is described. With varying degrees of soil moisture (mean value of 15.0), min T°C (−1.8°C to 24°C), max T°C (14.4°C to 40.2°C) and wind speed (0.1 to 6.1 m/s), the maps demonstrate the variability of the PDSI fields over the country area (from −11.7 to 2.3) induced by the complex sum of these variables and intensified by the topographic effects notable over the Ethiopian Highlands which can be used for vegetation analysis. The paper presents seven new maps and contributes to the environmental studies of Ethiopia.
- Alma Mater Studiorum University of Bologna Italy
- Université Libre de Bruxelles Belgium
- University of Salzburg Austria
Q40, [SDE] Environmental Sciences, Q42, Renewable Resources and Conservation: Forestry, Climate, Valuation of Environmental Effects, Renewable Resources and Conservation: Water, [INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR], Optimization Techniques, Kartographie, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], computer science, Dynamic Analysis, drought, Global Warming, Bodenfeuchtigkeit, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Environmental Economics: General, Géographie physique, cartography; vegetation; drought; PDSI; precipitation; soil moisture; temperature, Q51, Energy, sustainable development, Q54, Geography, PDSI, Q50, Mathematical Methods and Programming: Other, Trockenheit, Y91, Sciences de la terre et du cosmos, Géodésie appliquée topographie [télédétection], C60, [SDV] Life Sciences [q-bio], C61, [SDV.EE] Life Sciences [q-bio]/Ecology, environment, Disciplines auxiliaires de l'ingénieur, C69, environment, Sciences exactes et naturelles, Project Analysis, Systèmes d'information géographique, Earth science, O22, Télédétection, Natural Disasters, Temperatur, Computer Programs: General, Environment, [INFO] Computer Science [cs], precipitation, Aménagement du territoire, Q23, Q25, Energy: General, vegetation, Data Collection and Data Estimation Methodology, Niederschlag, cartography, Programming Models, environmental sustainability, Alternative Energy Sources, Vegetation, Cartographie, Pictures and Maps, temperature, P18, Mathematical Methods and Programming: General, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, [SDE.MCG] Environmental Sciences/Global Changes, Computer Programs: Other, C80, [SDU.STU] Sciences of the Universe [physics]/Earth Sciences, Climatologie, soil moisture, Géographie rurale, Photogrammétrie - cartographie, C89
Q40, [SDE] Environmental Sciences, Q42, Renewable Resources and Conservation: Forestry, Climate, Valuation of Environmental Effects, Renewable Resources and Conservation: Water, [INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR], Optimization Techniques, Kartographie, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], computer science, Dynamic Analysis, drought, Global Warming, Bodenfeuchtigkeit, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Environmental Economics: General, Géographie physique, cartography; vegetation; drought; PDSI; precipitation; soil moisture; temperature, Q51, Energy, sustainable development, Q54, Geography, PDSI, Q50, Mathematical Methods and Programming: Other, Trockenheit, Y91, Sciences de la terre et du cosmos, Géodésie appliquée topographie [télédétection], C60, [SDV] Life Sciences [q-bio], C61, [SDV.EE] Life Sciences [q-bio]/Ecology, environment, Disciplines auxiliaires de l'ingénieur, C69, environment, Sciences exactes et naturelles, Project Analysis, Systèmes d'information géographique, Earth science, O22, Télédétection, Natural Disasters, Temperatur, Computer Programs: General, Environment, [INFO] Computer Science [cs], precipitation, Aménagement du territoire, Q23, Q25, Energy: General, vegetation, Data Collection and Data Estimation Methodology, Niederschlag, cartography, Programming Models, environmental sustainability, Alternative Energy Sources, Vegetation, Cartographie, Pictures and Maps, temperature, P18, Mathematical Methods and Programming: General, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, [SDE.MCG] Environmental Sciences/Global Changes, Computer Programs: Other, C80, [SDU.STU] Sciences of the Universe [physics]/Earth Sciences, Climatologie, soil moisture, Géographie rurale, Photogrammétrie - cartographie, C89
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