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Layer: Deforestation Fronts (ID:0)

View In:   Map Viewer

Name: Deforestation Fronts

Display Field: Name

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: <span style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;">An Emerging Hotspot Analysis was used to derive deforestation fronts using the ArcGIS Emerging Hot Spot Analysis tool. This analysis was undertaken in 10kmĀ² hexagons, within country boundaries, based on the remote sensing data series from Terra-i data for Latin America, Africa, Asia and Oceania for the period from </span><b>2004 </b><span style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;">to </span><b>2017</b><span style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"> for which validated data was available. Locations with the highest incidence of deforestation were selected in the tropical and subtropical biomes in each country. Following the hotspot analysis, a visual interpretation of the spatial clustering of deforestation hotspots in the selected biomes by country was conducted in order to delineate the boundaries of deforestation fronts, which comprise all countries in which deforestation hotspots were detected. Deforestation fronts are places that contain an important area of remaining forests where there is a relatively larger spatial concentration or clustering of deforestation hotspots (measured in 10km2 hexagons). As a result of this exercise, based on the Terra-i data, 30 countries were retained in the analysis.</span>

Copyright Text: Please cite as: Pacheco, P., Mo, K., Dudley, N., Shapiro, A., Aguilar-Amuchastegui, N., Ling, P.Y., Anderson, C. and Marx, A. 2021. Supplement to Deforestation fronts: Drivers and responses in a changing world. WWF, Gland, Switzerland. [CC BY-SA-4.0]

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Supported query Formats: JSON, geoJSON, PBF

Use Standardized Queries: True

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HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Object ID Field: OBJECTID_1

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Last Edit Date: 5/20/2021 1:36:48 PM

Schema Last Edit Date: 5/20/2021 1:36:48 PM

Data Last Edit Date: 5/20/2021 1:36:48 PM

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