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Displaying 1126 - 1130 of 1605Suitability of short or long conservation contracts under ecological and socio-economic uncertainty
Acquisition of land rights has become a primary tool used to protect terrestrial biodiversity. Fixed length contracts are often used when trying to secure conservation benefits on private land in agri-environment schemes and payment for environmental services schemes, but the duration of the conservation contracts used in different programmes varies.
Addressing the spatiotemporal sampling design of MODIS to provide estimates of the fire radiative energy emitted from Africa
Satellite-based estimates of the fire radiative power (FRP) and energy (FRE) emitted from open biomass burning are affected by the spatiotemporal resolution of polar-orbiting and geostationary sensors. Here the impacts of the MODIS sampling design on estimates of FRE are characterized by superimposing the timing and extents of the Terra and Aqua granules onto the SEVIRI active fire product. Results for different land-cover types across Africa indicate that the FRE measured by SEVIRI during eight days is linearly related to the sum of FRP measured by SEVIRI within the MODIS granules.
Considering the social dimension of invasive species: the case of buffel grass
The status of many invasive plant species that are also of high commercial value is contentious. Management of negative impacts depends on the support and co-operation of people who regard the species as an asset. For example, buffel grass (Cenchrus ciliaris) is highly prized by many pastoralists in Australia as an introduced pasture grass for livestock but it also has significant and deleterious environmental impacts. Identifying management strategies that minimise environmental impacts yet support production benefits is crucial for achieving sustainable outcomes.
Ecosystem mapping at the African continent scale using a hybrid clustering approach based on 1-km resolution multi-annual data from SPOT/VEGETATION
The goal of this study is to propose a new classification of African ecosystems based on an 8-year analysis of Normalized Difference Vegetation Index (NDVI) data sets from SPOT/VEGETATION. We develop two methods of classification. The first method is obtained from a k-nearest neighbour (k-NN) classifier, which represents a simple machine learning algorithm in pattern recognition. The second method is hybrid in that it combines k-NN clustering, hierarchical principles and the Fast Fourier Transform (FFT).
Hierarchical mapping of Northern Eurasian land cover using MODIS data
The Northern Eurasian land mass encompasses a diverse array of land cover types including tundra, boreal forest, wetlands, semi-arid steppe, and agricultural land use. Despite the well-established importance of Northern Eurasia in the global carbon and climate system, the distribution and properties of land cover in this region are not well characterized. To address this knowledge and data gap, a hierarchical mapping approach was developed that encompasses the study area for the Northern Eurasia Earth System Partnership Initiative (NEESPI).