This is a data-set for Madagascar to be used with the deforestprob Python module (https://ghislainv.github.io/deforestprob) to compute the spatial probability of deforestation for the year 2010. The data-set includes the following variables: forest/non-forest for the period 2000-2010 (1) distance to forest edge in 2010, distance to previous deforestation (period 1990-2000) (1) altitude, slope, aspect (2) distance to road, town, river (3) protected area network (4) Sources http://bioscenemada.cirad.fr, forest maps derived from Harper et al. 2007 and Hansen et al. 2013 http://srtm.csi.cgiar.org, SRTM 90m Digital Elevation Database v4.1 http://www.geofabrik.de, data extracts from the OpenStreetMap project for Madagascar, http://...
Madagascar is widely known for its exceptional biodiversity which is, for the terrestrial part, main...
Anthropogenic deforestation in tropical countries is responsible for a significant part of global ca...
Madagascar is known for having one of the most diverse ecosystems in the world. Unfortunately, the ...
The forestatrisk Python package can be used to model and forecast deforestation in the tropics. It p...
Website | PyPI | GitHub | JOSS Overview The forestatrisk Python package can be used to model and f...
High resolution and low uncertainty deforestation maps covering large spatial areas in tropical coun...
La spatialisation de la dynamique forestière est essentielle à l’estimation des niveaux d’émissions ...
High resolution and low uncertainty deforestation maps covering large spatial areas in tropical coun...
Protected areas (PAs) are a cornerstone for conservation biodiversity. Madagascar, as a hotspot for ...
Data associated with paper: "The effect of a political crisis on performance of community- and state...
This directory contains phenology and climate data from Betampona (Madagascar) and Kibale (Uganda), ...
This repository includes output data from the following article: Vieilledent G., C. Grinand, F. A. ...
The island of Madagascar has a unique biodiversity, mainly located in the tropical forests of the is...
Python code for: Map of global peatland extent estimated by machine learning. Abstract from associ...
Deforestation poses a significant threat to global biodiversity and ecosystem services. This study f...
Madagascar is widely known for its exceptional biodiversity which is, for the terrestrial part, main...
Anthropogenic deforestation in tropical countries is responsible for a significant part of global ca...
Madagascar is known for having one of the most diverse ecosystems in the world. Unfortunately, the ...
The forestatrisk Python package can be used to model and forecast deforestation in the tropics. It p...
Website | PyPI | GitHub | JOSS Overview The forestatrisk Python package can be used to model and f...
High resolution and low uncertainty deforestation maps covering large spatial areas in tropical coun...
La spatialisation de la dynamique forestière est essentielle à l’estimation des niveaux d’émissions ...
High resolution and low uncertainty deforestation maps covering large spatial areas in tropical coun...
Protected areas (PAs) are a cornerstone for conservation biodiversity. Madagascar, as a hotspot for ...
Data associated with paper: "The effect of a political crisis on performance of community- and state...
This directory contains phenology and climate data from Betampona (Madagascar) and Kibale (Uganda), ...
This repository includes output data from the following article: Vieilledent G., C. Grinand, F. A. ...
The island of Madagascar has a unique biodiversity, mainly located in the tropical forests of the is...
Python code for: Map of global peatland extent estimated by machine learning. Abstract from associ...
Deforestation poses a significant threat to global biodiversity and ecosystem services. This study f...
Madagascar is widely known for its exceptional biodiversity which is, for the terrestrial part, main...
Anthropogenic deforestation in tropical countries is responsible for a significant part of global ca...
Madagascar is known for having one of the most diverse ecosystems in the world. Unfortunately, the ...