Fire-driven deforestation is the major source of carbon emissions from Amazonia. Recent expansion of mechanized agriculture in forested regions of Amazonia has increased the average size of deforested areas, but related changes in fire dynamics remain poorly characterized. We estimated the contribution of fires from the deforestation process to total fire activity based on the local frequency o...

To address deforestation, South Sumatra Goverment was committed to be the frontrunner in attaining Green Growth 2017. All economic activities related land use must comply with regulations. The private sector supports them some initiatives by several certifications as their commitment toward zero deforestation (ZDC). However, from cover data, Province is one of highest forest loss Indonesia foll...

Land-use changes result from in the human population, their activities, and social environmental which occur a complex dynamic manner. The change of forested areas to non-forested areas, also known as deforestation, is land-use change. Deforestation influences land cover by creating specific distribution pattern (fragmentation). Almost entire forest has been fragmented into smaller but each the...

Deforestation is estimated to cause about one quarter of anthropogenic carbon emissions. Only late, in 2005, Parties to the United Nations Framework Convention for Climate Change decided to start exploring approaches to reduce emissions from this major source. We carried out a global analysis of the potential effects of financial mechanisms to avoid deforestation. Avoiding deforestation is a lo...

We use land use data from Guatemala to estimate the impact of a community forest concession policy on avoided deforestation when accounting for group heterogeneity. Our analysis includes communities with significant forestry experience, along with communities comprising recent settlers with primarily agricultural backgrounds. Employing a matched difference-in-differences approach, we compare de...

This article examines the issue of deforestation on Sierra Leone's Freetown Peninsula, specifically analysingthe gap that exists between the rhetoric surrounding the problem of deforestation and the subsequentpolicies and projects that are implemented to address it. It is argued in this paper that this gap can be betterunderstood by examining how different actors involved in pol...

To address the need for timely information on newly deforested areas at medium resolution scale, we introduce a Bayesian approach to combine SAR and optical time series for near real-time deforestation detection. Once a new image of either of the input time series is available, the conditional probability of deforestation is computed using Bayesian updating, and deforestation events are indicat...

Classical deforestation methods fail to compose functions with accumulating parameters, which are function arguments to which intermediate result accumulates. This paper proposes a new deforestation method which solves this problem. The method is comprised of a few transformation steps, each of which is guided by type information. Though our solution draws its fundamental idea from a deforestat...

We have developed a near-real time deforestation monitoring system, named SAD (Sistema de Alerta de Desmatamento) to monitor the Brazilian Amazon states. Here, we present how SAD works and has been used to monitor deforestation in different types of forest reserves in the State of Mato Grosso, and the potential use of this information to stop illegal deforestation in these reserves. The types o...