Sökning: "Vegetation Indices"
Visar resultat 11 - 15 av 73 uppsatser innehållade orden Vegetation Indices.
11. Topographic controls of drought impact on Swedish primary forests
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Anthropogenic climate change has increased the frequency of extreme drought events and leads to “hotter” droughts. Topography controls plant available water and site-specific climatic conditions. Drought sensitivity may therefore vary over short distances between wet and dry locations of the landscape. LÄS MER
12. Effects of the 2018 drought on mire productivity in Skogaryd - Evaluation of ground sensors, satellite data and meteorological data
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : The drought is a complex meteorological phenomenon associated with low precipitation and low water saturation in atmosphere, soils and plants and can has a great effect on aboveground biomass and change the structure and function of the ecosystems. The droughts also are known to reduce the primary and secondary productivity of vegetation. LÄS MER
13. Multi-scale topography assessment for site-specific drought management in Sweden
Master-uppsats, SLU/Dept. of Soil and EnvironmentSammanfattning : Globally, as well as in Sweden, the occurrence of droughts is expected to increase due to global warming. The drought summer of 2018 revealed the vulnerability of Sweden’s agriculture – with cereal yield losses of up to 50 %. Subsequently, the development of more resilience crop production systems to mitigate future droughts is required. LÄS MER
14. The role of agricultural drainage in controlling the effectiveness of two-stage ditches in Sweden
Master-uppsats, SLU/Dept. of Soil and EnvironmentSammanfattning : Increased agricultural activities are causing eutrophication in downstream water bodies. To mitigate nutrient leaching from cropland, various in-field and edge-of-field practices have been implemented. LÄS MER
15. Development of a deep learning method for soil moisture estimation at high spatial and temporal resolution using satellite data
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Soil moisture (SM) is an essential climate variable that controls fundamental hydrological and climatic processes. Soil moisture products derived from microwave remote sensing often provide measurements at low spatial resolution and incomplete temporal records. LÄS MER