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Selection: Huete:A [3 articles] 

Publications by author Huete:A.
 

A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform

  
ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 144 (October 2018), pp. 325-340, https://doi.org/10.1016/j.isprsjprs.2018.07.017

Abstract

[Highlights] [::] Demonstrated a paradigm shift in continent-scale 30-m Landsat cropland mapping. [::] Captured spatial extent of very small to very large farms in Australia and China. [::] Applied Random Forest machine learning algorithm on cloud computing platform. [::] Overall accuracies of 30-m cropland products of Australia and China exceeded 94%. [::] Errors of omissions of cropland class were 1.2% for Australia and 20% for China. [::] Product view at: www.croplands.org download at: https://lpdaac.usgs.gov/node/1282. [Abstract] Mapping high resolution (30-m or better) cropland extent over very large areas such as ...

 

Evaluation of optical remote sensing to estimate actual evapotranspiration and canopy conductance

  
Remote Sensing of Environment, Vol. 129 (February 2013), pp. 250-261, https://doi.org/10.1016/j.rse.2012.11.004

Abstract

[Abstract] We compared estimates of actual evapotranspiration (ET) produced with six different vegetation measures derived from the MODerate resolution Imaging Spectroradiometer (MODIS) and three contrasting estimation approaches using measurements from eddy covariance flux towers at 16 FLUXNET sites located over six different land cover types. The aim was to assess optimal approaches in using optical remote sensing to estimate ET. The first two approaches directly regressed various MODIS vegetation indices (VIs) and products such as leaf area index (LAI) and fraction of ...

 

Ecosystem resilience despite large-scale altered hydroclimatic conditions

  
Nature, Vol. 494, No. 7437. (20 January 2013), pp. 349-352, https://doi.org/10.1038/nature11836

Abstract

Climate change is predicted to increase both drought frequency and duration, and when coupled with substantial warming, will establish a new hydroclimatological model for many regions1. Large-scale, warm droughts have recently occurred in North America, Africa, Europe, Amazonia and Australia, resulting in major effects on terrestrial ecosystems, carbon balance and food security2, 3. Here we compare the functional response of above-ground net primary production to contrasting hydroclimatic periods in the late twentieth century (1975–1998), and drier, warmer conditions in the early ...

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Integrated Natural Resources Modelling and Management - Meta-information Database. http://mfkp.org/INRMM/author/Huete:A

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