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The characterization and evaluation of the recent status of biodiversity in Southern Africa's Savannas is a major prerequisite for suitable and sustainable land management and conservation purposes. This paper presents an integrated concept for vegetation type mapping in a dry savanna ecosystem based on local scale in-situ botanical survey data with high(More)
The diversity of nature, from genes to ecosystems, is an important resource we all benefit from. Yet, biodiversity is threatened by anthropogenic pressure causing habitat loss and fragmentation, climate change and its related effects (Thomas et al., 2004). This might lead to a severe decrease in ecosystem services with negative effects for human(More)
—Time series generated from remotely sensed data are important for regional to global monitoring, estimating long-term trends, and analysis of variations due to droughts or other extreme events such as El Niño. Temporal vegetation patterns including phenological states, photosynthetic activity, or biomass estimations are an essential input for climate(More)
Is the annoyance of snoring a reliable tool for the measurement of snoring or does it depend more on the sensitivity of the listener? During an automatized hearing experiment, 550 representative snoring sequences, recorded during polysomnography, were randomly presented to ten examiners for the evaluation of their annoyance (0-100). The mean annoyance score(More)
Estimating forest area at a national scale within the United Nations program of Reducing Emissions from Deforestation and Forest Degradation (REDD) is primarily based on land cover information using remote sensing technologies. Timely delivery for a country of a size like Mexico can only be achieved in a standardized and cost-effective 3924 manner by(More)
Long term observation of space-borne remote sensing data provides a means to explore temporal variation on the Earth's surface. This improved understanding of variability is required by numerous global change studies to explain annual and interannual trends and to separate those from individual events. This knowledge also can be included into budgeting and(More)
Globally acquired data from both MODIS instruments are suitable for science quality time series, because the unique concept of pixel-level quality information of each MODIS land product allows a detailed analysis of the data usability. MODIS datasets are regularly updated and reprocessed to meet present science requirements. This study compares time series(More)
This study presents a multi-scale procedure to derive continuous proportional cover of woody vegetation in savanna ecosystems. QuickBird data was classified to define a continuous training and validation data set of woody cover proportions. Using a regression tree algorithm based on Landsat TM data, this woody cover information was extrapolated to an area(More)