About: Using satellite based soil moisture to quantify the water driven variability in NDVI: A case study over mainland Australia

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rdf:type	Item
description	article (en) wetenschappelijk artikel (nl) наукова стаття, опублікована в січні 2014 (uk) 2014 ജനുവരി 1 നു പ്രസിദ്ധീകരിച്ച ശാസ്ത്ര ലേഖനം (ml) article scientifique publié en 2014 (fr) im Jahr 2014 veröffentlichter wissenschaftlicher Artikel (de)
publication date	wds:Q57161743-AE0EDBCB-E722-4A4A-AA64-BCFD298830A5
publication date	2014-01-01 00:00:00Z (xsd:dateTime)
author name string	wds:Q57161743-18398581-53D3-4D80-8E43-289A56990049 wds:Q57161743-95CA9AA5-7D7B-44F6-B6B6-F7F0762EBC29 wds:Q57161743-A445B98C-F8B4-45E1-8BDA-996507790CA9
author name string	T. Chen R.A.M. de Jeu Y.Y. Liu
rdfs:label	Using satellite based soil moisture to quantify the water driven variability in NDVI: A case study over mainland Australia (en) Using satellite based soil moisture to quantify the water driven variability in NDVI: A case study over mainland Australia (nl)
skos:prefLabel	Using satellite based soil moisture to quantify the water driven variability in NDVI: A case study over mainland Australia (en) Using satellite based soil moisture to quantify the water driven variability in NDVI: A case study over mainland Australia (nl)
name	Using satellite based soil moisture to quantify the water driven variability in NDVI: A case study over mainland Australia (en) Using satellite based soil moisture to quantify the water driven variability in NDVI: A case study over mainland Australia (nl)
author	wds:Q57161743-2853DBAB-91EA-43A6-947F-BF7068513FC2 wds:Q57161743-72DDDF25-FED2-41B2-BC64-C69880D78441
author	A. Johannes Dolman Guido van der Werf
title	wds:Q57161743-02A5EEE5-EA8E-41BC-80AE-42880B9245C4
title	Using satellite based soil moisture to quantify the water driven variability in NDVI: A case study over mainland Australia (en)
page(s)	wds:Q57161743-F71B2DCC-C5A9-48E3-9E18-3D3575710E2B
page(s)	330-338
instance of	wds:Q57161743-E873A3DE-B1C7-48BA-84E5-475AA07E0B3E
instance of	scholarly article
main subject	wds:Q57161743-B90E7F31-A82F-4297-86C9-E6E50F741795 wds:Q57161743-C0BDFF08-2E1C-4CD4-BB38-07DEDDB6C6AA
main subject	soil moisture Australia
published in	wds:Q57161743-2A48783B-B648-435E-BE60-3A6BCC7D248B
published in	Remote Sensing of Environment
volume	wds:Q57161743-3A17CA28-948F-46AA-9F43-F6F20DDED68D
volume	140
DOI	wds:Q57161743-2B86FCD9-2E8A-4ECF-AB13-0DB06DB068ED
DOI	http://dx.doi.org/10.1016/J.RSE.2013.08.022
DOI	10.1016/J.RSE.2013.08.022
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q57161743
is cites work of	Time-lag effects of global vegetation responses to climate change A non-linear Granger-causality framework to investigate climate–vegetation dynamics Drought dominates the interannual variability in global terrestrial net primary production by controlling semi-arid ecosystems Climatic factors driving vegetation declines in the 2005 and 2010 Amazon droughts Anomalous carbon uptake in Australia as seen by GOSAT Assessment of Regional Vegetation Response to Climate Anomalies: A Case Study for Australia Using GIMMS NDVI Time Series between 1982 and 2006 Blending Landsat and MODIS Data to Generate Multispectral Indices: A Comparison of “Index-then-Blend” and “Blend-then-Index” Approaches Advantages of Using Microwave Satellite Soil Moisture over Gridded Precipitation Products and Land Surface Model Output in Assessing Regional Vegetation Water Availability and Growth Dynamics for a Lateral Inflow Receiving Landscape Forecasting dryland vegetation condition months in advance through satellite data assimilation Water memory effects and their impacts on global vegetation productivity and resilience. Fifty years since Monteith's 1965 seminal paper: the emergence of global ecohydrology Large-scale vegetation responses to terrestrial moisture storage changes Grassland gross carbon dioxide uptake based on an improved model tree ensemble approach considering human interventions: global estimation and covariation with climate
is cites work of	wds:Q57894752-5F97CE9E-C9BB-465F-B221-D594ECB3908E wds:Q33584527-6066B22B-16B4-41FA-8C0C-D685A13D4870 wds:Q36810233-CE15BEF1-8DDB-4166-93DF-CB6F925E77E1 wds:Q57655592-7317A971-EB87-43DB-B49F-06D8B241F442 wds:Q58399367-82DAE519-31CF-4CC0-8B6D-29AA2391EADE wds:Q58112783-ACE7E16F-38D9-414B-BC78-F7D4E29F010F wds:Q49224846-881820B3-437D-41DC-905F-7CD82E3B98D1 wds:Q57865751-8BE0FAC2-94E9-46C8-9DF6-2005789C015A wds:Q61443324-EBC139FC-0EF7-4B59-9885-DA5FC5D69BFA wds:Q58101802-294884B7-E9F2-47A7-8F32-D778563B1122 wds:Q30928392-58760DDD-89B1-45D9-81EB-59491F11E33A wds:Q31149016-03AE20D1-F678-498F-B451-A10B7EC2D074 wds:Q58101844-10882831-0A63-4C1B-9AB3-EF02FCEFCEDC

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