Vegetation Index
& Phenology Lab.

...Understanding a piece of the Earth system
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Our NASA MEaSUREs Project
Vegetation Phenology and Vegetation Index Products from Multiple Long Term Satellite Data Records

MEASURES Publications

Brook R, Leafloor J, Abraham K, Douglas D. Density dependence and phenological mismatch: consequences for growth and survival of sub-arctic nesting Canada Geese. Avian Conservation and Ecology. 2015 Feb 17;10(1)

Browna JF, Miurab T, Wardlowc B, Gud Y. Merging Climate and Multi-Sensor Time-Series Data in Real-Time Drought Monitoring Across the USA. In34th International Symposium on Remote Sensing of Environment 2011

Chen J, John R, Shao C, Fan Y, Zhang Y, Amarjargal A, Brown DG, Qi J, Han J, Lafortezza R, Dong G. Policy shifts influence the functional changes of the CNH systems on the Mongolian plateau. Environmental Research Letters. 2015 Aug 4;10(8):085003

Dass P, Rawlins MA, Kimball JS, Kim Y. Environmental controls on the increasing GPP of terrestrial vegetation across northern Eurasia. Biogeosciences. 2016 Jan 1;13(1):45

Dass P, Rawlins MA, Kimball JS, Kim Y. Environmental controls on the greening of terrestrial vegetation across northern Eurasia. Biogeosciences Discussions. 2015 Jun 15;12(12)

Didan K, Barreto-munoz A, Miura T, Tsend-Ayush J. A 30-Year Multi-Sensor Vegetation Index and Land Surface Phenology Data Record: Methods Challenges and Potentials. In AGU Fall Meeting Abstracts 2013 Dec.

Didan K, Barreto-munoz A, Miura T, Tsend-Ayush J. Propagation and Estimation of Error and Uncertainty in a Multi-Sensor Vegetation Index and Phenology Earth Science Data Records. InAGU Fall Meeting Abstracts 2011 Dec (Vol. 1, p. 1415)

Didan K, Barreto-munoz A. A Multi-sensor Remote Sensing Study of the Dynamic of the Nile Basin Vegetation Cover. InAGU Fall Meeting Abstracts 2014 Dec (Vol. 1, p. 0064)

Doherty TS, Davis RA, Etten EJ, Algar D, Collier N, Dickman CR, Edwards G, Masters P, Palmer R, Robinson S. A continental‐scale analysis of feral cat diet in Australia. Journal of Biogeography. 2015 May 1;42(5):964-75

Ehammer A, Fensholt R, Horion S, Tagesson T. Integration of high spatial resolution land cover maps to understand opposing trends in vegetation productivity: A case study for the Dry Chaco ecoregion of South America. InAGU Fall Meeting Abstracts 2013 Dec

El Vilaly MM, Van Leeuwen WJ, Didan K, Marsh SE, Crimmins M. Remote Sensing Approach to Drought Monitoring to Inform Range Management at the Hopi Tribe and Navajo Nation. InAGU Fall Meeting Abstracts 2012 Dec (Vol. 1, p. 0399)

Fensholt R, Horion S, Tagesson T, Ehammer A, Grogan K, Tian F, Huber S, Verbesselt J, Prince SD, Tucker CJ, Rasmussen K. Assessment of Vegetation Trends in Drylands from Time Series of Earth Observation Data. InRemote Sensing Time Series 2015 (pp. 159-182). Springer International Publishing

Jenkerson C, Meyer D, Didan K. Case Study for EOSDIS Support to MEaSUREs: the Vegetation Index and Vegetation Phenology ESDRs. InAGU Fall Meeting Abstracts 2009 Dec (Vol. 1, p. 1165)

John R, Chen J, Kim Y, Ou-yang ZT, Xiao J, Park H, Shao C, Zhang Y, Amarjargal A, Batkhshig O, Qi J. Differentiating anthropogenic modification and precipitation-driven change on vegetation productivity on the Mongolian Plateau. Landscape ecology. 2016 Mar 1;31(3):547-66

John R, Chen J, Kim Y, Yang Z, Xiao J, Shao C, Batkhishig O. Differentiating between Land Use and Climate-driven Change using Long-term Vegetation Index Trends adjusted for Precipitation on the Mongolian Plateau. InAGU Fall Meeting Abstracts 2014 Dec (Vol. 1, p. 0474)

John R, Chen J, Xiao J, El Vilaly MM, Samanta A, Ganguly S, Batkhishig O, Zhang G. Long term trends in GPP and ET on the Mongolian Plateau in context of climate and land cover/land use change. InAGU Fall Meeting Abstracts 2013 Dec

Kang L, Di L, Deng M, Yu E, Xu Y. Forecasting vegetation index based on vegetation-meteorological factor interactions with artificial neural network. InAgro-Geoinformatics (Agro-Geoinformatics), 2016 Fifth International Conference on 2016 Jul 18 (pp. 1-6). IEEE

Kern A, Marjanović H, Barcza Z. Evaluation of the Quality of NDVI3g Dataset against Collection 6 MODIS NDVI in Central Europe between 2000 and 2013. Remote Sensing. 2016 Nov 17;8(11):955

Kim Y, Kimball JS, Didan K, Henebry GM. Response of vegetation growth and productivity to spring climate indicators in the conterminous United States derived from satellite remote sensing data fusion. Agricultural and Forest Meteorology. 2014 Aug 15;194:132-43

Kim Y, Kimball JS, Du J, Glassy JM, Schaaf CL. Quantifying the effects of spring freeze-thaw transitions and snowpack dynamics on surface albedo change using satellite optical and microwave remote sensing

Kim Y, Kimball JS, Zhang K, Didan K. The effect of winter frozen season changes on Northern Hemisphere vegetation canopy growth determined from satellite microwave and optical remote sensing. InAGU Fall Meeting Abstracts 2012 Dec (Vol. 1, p. 0548)

Klosterman, Stephen, Koen Hufkens, J. M. Gray, E. Melaas, O. Sonnentag, I. Lavine, L. Mitchell, R. Norman, M. A. Friedl, and Andrew Richardson. "Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery." (2014).

Linck, E., Bridge, E.S., Duckles, J.M., Navarro-Sigüenza, A.G. and Rohwer, S., 2016. Assessing migration patterns in Passerina ciris using the world’s bird collections as an aggregated resource. PeerJ, 4, p.e1871

Liu Y, Wang Y, Peng J, Du Y, Liu X, Li S, Zhang D. Correlations between urbanization and vegetation degradation across the world’s metropolises using DMSP/OLS nighttime light data. Remote Sensing. 2015 Feb 12;7(2):2067-88



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