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Displaying 1161 - 1165 of 1605Assessing the application of a geographic presence-only model for land suitability mapping
Recent advances in ecological modeling have focused on novel methods for characterizing the environment that use presence-only data and machine-learning algorithms to predict the likelihood of species occurrence. These novel methods may have great potential for land suitability applications in the developing world where detailed land cover information is often unavailable or incomplete.
Is Oregon's land use planning program conserving forest and farm land? A review of the evidence
Planners have long been interested in understanding ways in which land use planning approaches play out on the ground and planning scholars have approached the task of evaluating such effects using a variety of methods. Oregon, in particular, has been the focus of numerous studies owing to its early-adopted and widely recognized statewide approach to farm and forest land protection and recent experiment with relaxation of that approach in 2004 with the passage of ballot Measure 37.
Land use and land cover classification over a large area in Iran based on single date analysis of satellite imagery
Accelerated soil erosion, high sediment yields, floods and debris flow are serious problems in many areas of Iran, and in particular in the Golestan dam watershed, which is the area that was investigated in this study. Accurate land use and land cover (LULC) maps can be effective tools to help soil erosion control efforts.
REDD+, transparency, participation and resource rights: the role of law
One of the crucial questions which emerges in the context of REDD+ is how the rights of indigenous peoples and local communities will be protected. These rights include the rights of sharing in the financial benefits of REDD+, the rights to participate in decision-making around REDD+ schemes, and the rights to have their knowledge about forestry resources respected. Each of these issues depends on the extent to which they have some sort of claim to, or tenure over, tropical rainforests.
Adapting a global stratified random sample for regional estimation of forest cover change derived from satellite imagery
A desirable feature of a global sampling design for estimating forest cover change based on satellite imagery is the ability to adapt the design to obtain precise regional estimates, where a region may be a country, state, province, or conservation area. A sampling design stratified by an auxiliary variable correlated with forest cover change has this adaptability. A global stratified random sample can be augmented by additional sample units within a region selected by the same stratified protocol and the resulting sample constitutes a stratified random sample of the region.