Essays about: "Satellite Image Time Series"
Showing result 1 - 5 of 13 essays containing the words Satellite Image Time Series.
-
1. Night-time lights as a proxy for socioeconomic indicators in Uganda
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : A large amount of economic research is reliant upon census, survey, or national accounts as a source of data. For many developing nations, the quality of this data is widely recognised to be unreliable and is rarely available at the sub-national level. READ MORE
-
2. Deep Learning for Earth Observation: improvement of classification methods for land cover mapping : Semantic segmentation of satellite image time series
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Satellite Image Time Series (SITS) are becoming available at high spatial, spectral and temporal resolutions across the globe by the latest remote sensing sensors. These series of images can be highly valuable when exploited by classification systems to produce frequently updated and accurate land cover maps. READ MORE
-
3. NDVI time series analysis for desert locust outbreak detection and quantification analysis of its impact on vegetation productivity of Sahel
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : It has been shown that the semi-arid environment of the Sahelian belt plays an important role in the global carbon uptake as the fluctuation of its primary productivity can be determinant for the global carbon uptake. The insect Schistocerca gregaria commonly known as the desert locust is a disturbance factor that can affect the vegetation productivity for consecutive seasons. READ MORE
-
4. Comparison of multi-temporal and multispectral Sentinel-2 and Unmanned Aerial Vehicle imagery for crop type mapping
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Precision Agriculture aims to maximize crop production and the efficiency of land use to meet the increased demand for food while minimizing environmental impact and economic cost of food production. Crop type maps are needed for Precision Agriculture applications and remote sensing techniques are an efficient way to produce this information. READ MORE
-
5. Evaluating Multitemporal Sentinel-2 data for Forest Mapping using Random Forest
University essay from Stockholms universitet/Institutionen för naturgeografiAbstract : The mapping of land cover using remotely sensed data is most effective when a robust classification method is employed. Random forest is a modern machine learning algorithm that has recently gained interest in the field of remote sensing due to its non-parametric nature, which may be better suited to handle complex, high-dimensional data than conventional techniques. READ MORE
