Using MODIS time series data to estimate aboveground biomass and its spatio-temporal variation in Inner Mongolia’s grassland between 2001 and 2011

Author：              

Publisher： Taylor & Francis Ltd

ISSN： 1366-5901

Source： International Journal of Remote Sensing, Vol.34, Iss.21, 2013-11, pp. : 7796-7810

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Modelling gross primary production in semi-arid Inner Mongolia using MODIS imagery and eddy covariance data

By John Ranjeet   Chen Jiquan   Noormets Asko   Xiao Xiangming   Xu Jianye   Lu Nan   Chen Shiping  

International Journal of Remote Sensing, Vol. 34, Iss. 8, 2013-04 ,pp. : 2829-2857

Taylor & Francis Ltd

Access to resources Recommend Favorite

Discrimination of invaded and native species sites in a semi-desert grassland using MODIS multi-temporal data

By Huang C.   Geiger E. L.   Van Leeuwen W. J. D.   Marsh S. E.  

International Journal of Remote Sensing, Vol. 30, Iss. 4, 2009-01 ,pp. : 897-917

Taylor & Francis Ltd

Access to resources Recommend Favorite

Evaluating vegetation phenological patterns in Inner Mongolia using NDVI time-series analysis

By Lee R.   Yu F.   Price K. P.   Ellis J.   Shi P.  

International Journal of Remote Sensing, Vol. 23, Iss. 12, 2002-06 ,pp. : 2505-2512

Taylor & Francis Ltd

Access to resources Recommend Favorite

Seasonal variability in aerosol optical depth over India: a spatio-temporal analysis using the MODIS aerosol product

By    

International Journal of Remote Sensing, Vol. 34, Iss. 13, 2013-07 ,pp. : 4832-4849

Taylor & Francis Ltd

Access to resources Recommend Favorite

A Dynamical method to estimate gene regulatory networks using time‐series data

By  

COMPLEXITY (ELECTRONIC), Vol. 21, Iss. 2, 2015-11 ,pp. : 134-144

John Wiley & Sons Inc

Access to resources Recommend Favorite