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Journal ArticleDOI

Global Percent Tree Cover at a Spatial Resolution of 500 Meters: First Results of the MODIS Vegetation Continuous Fields Algorithm

TLDR
The first results of the MODIS vegetation continuous field algorithm's global percent tree cover are presented in this article, where a supervised regression tree algorithm is used to estimate tree cover per 500m MODIS pixel.
Abstract
The first results of the Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation continuous field algorithm's global percent tree cover are presented. Percent tree cover per 500-m MODIS pixel is estimated using a supervised regression tree algorithm. Data derived from the MODIS visible bands contribute the most to discriminating tree cover. The results show that MODIS data yield greater spatial detail in the characterization of tree cover compared to past efforts using AVHRR data. This finer-scale depiction should allow for using successive tree cover maps in change detection studies at the global scale. Initial validation efforts show a reasonable relationship between the MODIS-estimated tree cover and tree cover from validation sites.

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Journal ArticleDOI

High-Resolution Global Maps of 21st-Century Forest Cover Change

TL;DR: Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally, and boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms.
Journal ArticleDOI

Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature)

TL;DR: The Model of Emissions of Gases and Aerosols from Nature (MEGAN) is used to quantify net terrestrial biosphere emission of isoprene into the atmosphere as mentioned in this paper.
Journal ArticleDOI

Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997-2009)

TL;DR: In this paper, the authors used a revised version of the Carnegie-Ames-Stanford-Approach (CASA) biogeochemical model and improved satellite-derived estimates of area burned, fire activity, and plant productivity to calculate fire emissions for the 1997-2009 period on a 0.5° spatial resolution with a monthly time step.
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Interannual variability in global biomass burning emissions from 1997 to 2004

TL;DR: In this paper, the authors investigated fire emissions during the 8 year period from 1997 to 2004 using satellite data and the CASA biogeochemical model, and found that on average approximately 58 Pg C year −1 was fixed by plants as NPP, and approximately 95% of this was returned back to the atmosphere via R h.
References
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Journal ArticleDOI

Modern Applied Statistics with S-Plus.

W. N. Venables, +1 more
- 01 Dec 1996 - 
Journal ArticleDOI

Global land cover classification at 1 km spatial resolution using a classification tree approach

TL;DR: In this paper, a 1km spatial resolution land cover classification using data for 1992-1993 from the Advanced Very High Resolution Radiometer (AVHRR) is presented. But the approach taken involved a hierarchy of pair-wise class trees where a logic based on vegetation form was applied until all classes were depicted.
Journal ArticleDOI

Linear mixing and the estimation of ground cover proportions

TL;DR: In this paper, the relative proportions of ground cover components in a mixed pixel are estimated using a linear model for signal mixing and a number of methods, closely related, for estimating the proportions.
Journal ArticleDOI

Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data

TL;DR: In this paper, the authors presented the status of land-surface temperature (LST) standard products retrieved from Earth Observing System (EOS) Moderate Resolution Imaging Spectroradiometer (MODIS) data.
Journal ArticleDOI

Classification of multispectral images based on fractions of endmembers: Application to land-cover change in the Brazilian Amazon

TL;DR: In this article, four time-sequential Landsat Thematic Mapper (TM) images of an area of Amazon forest, pasture, and second growth near Manaus, Brazil were classified according to dominant ground cover, using a new technique based on fractions of spectral endmembers.
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