Leaf Area Index

Results: 454



#Item
321Area / Index of recycling articles

LEAF and LIMB COLLECTION (No Grass Clippings) City of Ceres RECYCLING

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Source URL: www.ci.ceres.ca.us

Language: English - Date: 2014-06-30 11:38:18
322Statistical models / Actuarial science / Agronomy / Linear regression / Generalized linear model / Leaf Area Index / Dummy variable / Basal area / Coefficient of determination / Statistics / Regression analysis / Econometrics

-6Ê   Silva Fennica[removed]research articles

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Source URL: www.silvafennica.fi

Language: English - Date: 2013-05-07 04:01:30
323Moderate-Resolution Imaging Spectroradiometer / Primary production / EVI / Remote sensing / FluxNet / Leaf Area Index / Cloud cover / Biome / Eddy covariance / Meteorology / Atmospheric sciences / Earth

1908 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 44, NO. 7, JULY 2006 Evaluation of Remote Sensing Based Terrestrial Productivity From MODIS Using Regional

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Source URL: secure.ntsg.umt.edu

Language: English - Date: 2006-07-27 12:10:38
324EVI / Agronomy / Nature / Normalized Difference Vegetation Index / Ecology / Forest ecology / Phenology / Leaf Area Index / Canopy / Remote sensing / Biology / Planetary science

September  6,  2013          CH4  Workshop     Session  4. Regional to continental scale evaluation of ecosystem Carbon budget; Synthesis with Observation, RS, and modeling. Es#ma#on

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Source URL: www.iarc.uaf.edu

Language: English - Date: 2013-09-26 10:57:14
325Atmospheric sciences / Ecology / Plants / Primary production / Moderate-Resolution Imaging Spectroradiometer / EVI / Normalized Difference Vegetation Index / Leaf Area Index / Cloud cover / Remote sensing / Earth / Meteorology

Remote Sensing of Environment[removed] – 176 www.elsevier.com/locate/rse Improvements of the MODIS terrestrial gross and net primary production global data set Maosheng Zhaoa,T, Faith Ann Heinscha, Ramakrishna R.

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Source URL: secure.ntsg.umt.edu

Language: English - Date: 2006-01-10 12:38:16
326Agronomy / Planetary science / Physical geography / METRIC / Evapotranspiration / Leaf Area Index / Temperature / Crop coefficient / Earth / Remote sensing / Hydrology

Evapotranspiration Workshop: New Technologies and Methods for estimating ET Use of Remote Sensing to estimate ET José L. Chávez Assistant Professor and Irrigation Extension Specialist

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Source URL: ccc.atmos.colostate.edu

Language: English - Date: 2012-03-28 13:31:18
327Physical geography / Remote sensing / Geomorphology / LIDAR / Robotic sensing / Geographic information systems / ICESat / Digital elevation model / Leaf Area Index / Cartography / Earth / Planetary science

The role of LiDAR in sustainable forest management by Michael A. Wulder1,2, Christopher W. Bater3, Nicholas C. Coops3, Thomas Hilker3 and Joanne C. White1 ABSTRACT The Forestry Chronicle Downloaded from pubs.cif-ifc.org

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Source URL: www.cif-ifc.org

Language: English - Date: 2014-08-12 15:36:37
328Agriculture / Viticulture / Agronomy / Remote sensing / Medicinal plants / Vine training / Canopy / Leaf Area Index / Vine / Biology / Vines / Botany

Vegetation characteristics of green facades, green cloaks and naturally colonized walls of wooden barns located in the Mid-Atlantic Region of North America David Tilley1, Serena Matt2, Laura Schumann3 and Patrick Kangas4

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Source URL: greenroofs.org

Language: English - Date: 2014-08-29 19:46:23
329Hydrology / Habitats / Forests / Agronomy / Remote sensing / Evapotranspiration / Leaf Area Index / Biome / Evergreen forest / Physical geography / Systems ecology / Biology

App. 1. Detailed description of the PhenLAI model. Initial maximum LAI module Maximum LAI in a mature stand reaches a more or less steady state that is associated with long-term climate (Grier & Running 1977; Woodward 19

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Source URL: www.fs.fed.us

Language: English - Date: 2013-03-28 15:14:47
330Meteorology / Weather prediction / Agronomy / Remote sensing / Control theory / Data assimilation / Climate / Forecasting / Leaf Area Index / Statistical forecasting / Atmospheric sciences / Statistics

Integrating Remote Sensing Data into Crop Models to Improve Crop Forecasts Emily Sorensen, Barnard College Department of Environmental Science Amor Ines, International Research Institute for Climate and Society, Columbia

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Source URL: www.earthinstitute.columbia.edu

Language: English - Date: 2012-05-09 17:06:32
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