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Vegetation Responses to 2012-2016 Drought in Northern and Southern California

Chunyu Dong, Glen M. MacDonald, Katherine Willis, Thomas W. Gillespie, Gregory S. Okin, A. Park Williams
2019 Geophysical Research Letters  
The prolonged 2012-2016 California drought has raised many issues including concerns over reduced vegetation health.  ...  A warmer and drier baseline climate in the future may further enhance southern vegetation vulnerability to drought.  ...  Additionally, MODIS-based NDVI measurements taken across different vegetation communities also can present uncertainties.  ... 
doi:10.1029/2019gl082137 fatcat:x6x6ipkdc5dthate24k5x3vu7u

MODIS Consistent Vegetation Parameter Specifications and Their Impacts on Regional Climate Simulations

Min Xu, Xin-Zhong Liang, Arthur Samel, Wei Gao
2014 Journal of Climate  
MODIS LAI is less than AVHRR by 2-6, except in the central Great Plains, eastern Rocky Mountains, and central Mexico.  ...  A consistent set of Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation parameters, including leaf and stem area index (LAI and SAI, respectively), land-cover category (LCC), fractional vegetation  ...  Martin Jung for providing us with the MTE data and the Land Processes Distributed Active Archive Center (LP DAAC) for making the MODIS collection 5 data available.  ... 
doi:10.1175/jcli-d-14-00082.1 fatcat:6wbvwjmldjgdlpcymub37uabgm

Quantifying agricultural drought in tallgrass prairie region in the U.S. Southern Great Plains through analysis of a water-related vegetation index from MODIS images

Yuting Zhou, Xiangming Xiao, Geli Zhang, Pradeep Wagle, Rajen Bajgain, Jinwei Dong, Cui Jin, Jeffrey B. Basara, Martha C. Anderson, Christopher Hain, Jason A. Otkin
2017 Agricultural and Forest Meteorology  
A comparison with other widely used national drought products, namely the Evaporative Stress Index (ESI), the Vegetation Drought Response Index (VegDRI), and the United States Drought Monitor (USDM), shows  ...  As an indicator of vegetation water stress at moderate spatial resolution (∼500 m), the LSWI has the potential to show drought conditions for an individual ranch and offer guidance for drought mitigation  ...  Zheng Shi, and Junyi Liang for their suggestions in the early stage of the manuscript and Hayden Mahan and Nicholas Cejda for English editing of the manuscript.  ... 
doi:10.1016/j.agrformet.2017.06.007 fatcat:zgqvkv6krncvdac7osmszovbzq

Terrestrial Ecosystem Carbon Fluxes Predicted from MODIS Satellite Data and Large-Scale Disturbance Modeling

Christopher Potter, Steven Klooster, Vanessa Genovese, Cyrus Hiatt, Shyam Boriah, Vipin Kumar, Varun Mithal, Ashish Garg
2012 International journal of geosciences  
An updated version of the CASA (Carnegie Ames Stanford Approach) model [9] was used in this study to predict terrestrial ecosystem fluxes using MODIS collection 5 of the Enhanced Vegetation Index (EVI;  ...  The unique aspects of our methodology are in the combination of MODIS satellite images to first quantify and map standing vegetation biomass pools across the globe in manner consistent with stand age,  ...  The framework depends upon the Enhanced Vegetation Index (EVI) from MODIS 16-day Level 3 1 km Vegetation Indices (MOD13A2) products.  ... 
doi:10.4236/ijg.2012.33050 fatcat:v6qa6v2qobal5lcipgpkgfxnji

Exacerbated grassland degradation and desertification in Central Asia during 2000-2014

Geli Zhang, Chandrashekhar M. Biradar, Xiangming Xiao, Jinwei Dong, Yuting Zhou, Yuanwei Qin, Yao Zhang, Fang Liu, Mingjun Ding, Richard J. Thomas
2018 Ecological Applications  
Existing studies hardly separated the two components and analyzed it as a whole based on time series vegetation index data, which cannot provide a clear and comprehensive picture for grassland degradation  ...  Furthermore, the trend analysis of Enhanced Vegetation Index during thermal growing season (EVI TGS ) was investigated in individual zones using linear regression and Mann-Kendall approaches.  ...  Mean summer temperature is around 20°C in the north of Central Asia, and more than 30°C in the south of Central Asia. In winter, the mean temperatures are below zero all over Central Asia.  ... 
doi:10.1002/eap.1660 pmid:29205627 fatcat:yprvqsm3ojgndc5xjfdyatpevm

Assessment of Spatio-Temporal Variation and Driving Mechanism of Ecological Environment Quality in the Arid Regions of Central Asia, Xinjiang

Xu Bi, Bianrong Chang, Fen Hou, Zihan Yang, Qi Fu, Bo Li
2021 International Journal of Environmental Research and Public Health  
Principal component analysis (PCA) was used to establish the MODIS data-based ecological index (MODEI) in the study area, and the spatial differentiation characteristics and driving mechanism of ecological  ...  FVC and GPP were more significant than other indicators. (2) The MODEI showed a spatial pattern of "excellent in the north and poor in the south" and changed from north to south in the study area. (3)  ...  more water for the vegetation to enhance its photosynthesis, thus improving the growth of the vegetation [63] .  ... 
doi:10.3390/ijerph18137111 fatcat:o36i4gjimrdtjjsd7kiujzqgrm

The greening of Northwest Indian subcontinent and reduction of dust abundance resulting from Indian summer monsoon revival

Qinjian Jin, Chien Wang
2018 Scientific Reports  
Here, using various in situ, satellite, and reanalysis data, we estimate firstly the changes of the ISM rainfall since 2000 in the NWIS, and then rainfall-induced changes in soil moisture and vegetation  ...  The monsoonal rainfall-induced trends in vegetation growth and dust abundance in the Northwest Indian Subcontinent have important implications for agriculture production and air quality given the projected  ...  Two MODIS land products have been retrieved-the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI).  ... 
doi:10.1038/s41598-018-23055-5 pmid:29545562 pmcid:PMC5854704 fatcat:4vkz7qv3xffrre4vymndwhq4ei

Remote Sensing Indices for Spatial Monitoring of Agricultural Drought in South Asian Countries

Muhammad Shahzaman, Weijun Zhu, Muhammad Bilal, Birhanu Asmerom Habtemicheal, Farhan Mustafa, Muhammad Arshad, Irfan Ullah, Shazia Ishfaq, Rashid Iqbal
2021 Remote Sensing  
This study intended to explore the performance of the evaporative stress index (ESI), vegetation health index (VHI), enhanced vegetation index (EVI), and standardized anomaly index (SAI) based on satellite  ...  Drought is an intricate atmospheric phenomenon with the greatest impacts on food security and agriculture in South Asia.  ...  Furthermore, this study will provide a new platform in the future, to enhance ESI-based investigations on different aspects over South Asia.  ... 
doi:10.3390/rs13112059 fatcat:vcfrtkyxwbaqroo4eyokgkgwba

Spatio-Temporal Variability in Remotely Sensed Vegetation Greenness Across Yellowstone National Park

Michael Notaro, Kristen Emmett, Donal O'Leary
2019 Remote Sensing  
The study's objective was to quantify the responses of vegetation greenness and productivity to climate variability and change across complex topographic, climatic, and ecological gradients in Yellowstone  ...  (2) Drought measures were the dominant contributors towards phenological variability, as winter–spring drought corresponded to enhanced April–June greening and spring–summer drought corresponded to reduced  ...  Acknowledgments: The valuable feedback from Monica Turner and her lab and from Benjamin Poulter was much appreciated. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs11070798 fatcat:xyrmabvbpfbw5eay7ewzqrvktq

A Geospatial Analysis of Bark Beetle-Induced Wildfire Risk Zones in the Okanogan Wenatchee National Forest

Marco Allain
2017 Agriculture Forestry and Fisheries  
Selected imagery from the Hyperion sensor was used to run a minimum distance supervised classification in ENVI, in attempt to detect the early "green stage" of infestation.  ...  A link between MPB attack and forest fires was then quantified using MODIS fire data.  ...  Acknowledgements We would like to sincerely thank our advisor Travis Freed of the US Forest Service for his detailed knowledge of the local geography. We also thank Dr.  ... 
doi:10.11648/j.aff.20170601.15 fatcat:iyndsmocufaffpvv7fsiw46qbq

Seasonal dynamics of vegetation indices as a criterion for grouping grassland typologies

Andreise Moreira, Carolina Bremm, Denise Cybis Fontana, Tatiana Mora Kuplich
2019 Scientia Agricola  
Moderate Resolution Imaging Spectroradiometer (MODIS), Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) images from Feb to Dec, 2000 to 2014 were analyzed for ten regions  ...  during the warm seasons of the year (spring and summer) and lowest in the colder seasons (autumn and winter).  ...  Acknowledgments We thank the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), for granting a PhD Scholarship to the first author.  ... 
doi:10.1590/1678-992x-2017-0173 fatcat:j5ovfbnotrgvjecduis7ivd6gm

Impacts of vegetation and groundwater dynamics on warm season precipitation over the Central United States

Xiaoyan Jiang, Guo-Yue Niu, Zong-Liang Yang
2009 Journal of Geophysical Research  
The model results suggest that the landatmosphere feedback is an important mechanism for summer precipitation over the Central United States.  ...  A series of experiments performed shows that incorporating vegetation and groundwater dynamics into the WRF model can improve the simulation of summer precipitation in the Central United States.  ...  We would like to express our thanks to David Gochis, Kenneth Mitchell, Lindsey Gulden, Enrique Rosero, and the anonymous reviewers for their insightful and constructive comments.  ... 
doi:10.1029/2008jd010756 fatcat:neulxwffzfdk7eatt5suoejbfi

A record-breaking trans-Atlantic African dust plume associated with atmospheric circulation extremes in June 2020

Bing Pu, Qinjian Jin
2021 Bulletin of The American Meteorological Society - (BAMS)  
Daily PM2.5 concentrations exceeded 50 μg m−3 in several Gulf States, while the air quality index reached unhealthy levels for sensitive groups in more than 11 States.  ...  While there are large uncertainties associated with assessing future trends in African dust emissions, model-projected atmospheric circulation changes in a warmer future generally favor increased long-range  ...  Pavia, 2020: The mid-summer 500 drought over Mexico and Central America in the 21st century.  ... 
doi:10.1175/bams-d-21-0014.1 fatcat:a6rgc4mnafbi7optzhs3olniti

Warm spring reduced carbon cycle impact of the 2012 US summer drought

Sebastian Wolf, Trevor F. Keenan, Joshua B. Fisher, Dennis D. Baldocchi, Ankur R. Desai, Andrew D. Richardson, Russell L. Scott, Beverly E. Law, Marcy E. Litvak, Nathaniel A. Brunsell, Wouter Peters, Ingrid T. van der Laan-Luijkx
2016 Proceedings of the National Academy of Sciences of the United States of America  
In 2012, the United States experienced the most severe drought since the Dust Bowl period, along with the warmest spring on record.  ...  In 2012, the contiguous United States experienced exceptionally warm temperatures and the most severe drought since the Dust Bowl era of the 1930s, resulting in substantial economic damage.  ...  Paul-Limoges for helpful comments on the manuscript. We also appreciate the constructive comments of the reviewers and the editor.  ... 
doi:10.1073/pnas.1519620113 pmid:27114518 pmcid:PMC4889356 fatcat:txghrbodhndtjgxaijaan3hvrq

Water use efficiency of China's terrestrial ecosystems and responses to drought

Yibo Liu, Jingfeng Xiao, Weimin Ju, Yanlian Zhou, Shaoqiang Wang, Xiaocui Wu
2015 Scientific Reports  
WUE is expected to continue to change under future climate change particularly as drought is projected to increase in both frequency and severity.  ...  Droughts usually increased annual WUE in Northeast China and central Inner Mongolia but decreased annual WUE in central China.  ...  Acknowledgements We obtained the MODIS reflectance and land cover data from NASA (http://ladsweb.nascom.nasa.gov/), MODIS NPP and ET data from the Numerical Terradynamic Simulation Group, University of  ... 
doi:10.1038/srep13799 pmid:26347998 pmcid:PMC4562296 fatcat:tlvxd5pe55gjjm4tdqqjvg2yv4
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