Potential of Using Remote Sensing Techniques for Global Assessment of Water Footprint of Crops
暂无分享,去创建一个
Zhongbo Su | Mireia Romaguera | Maarten S. Krol | Mhd. Suhyb Salama | Arjen Y. Hoekstra | A. Hoekstra | Z. Su | M. S. Salama | M. Krol | M. Romaguera
[1] Maosheng Zhao,et al. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data , 2007 .
[2] P. Q. Hung,et al. Globalisation of water resources : international virtual water flows in relation to crop trade , 2005 .
[3] W. Bastiaanssen,et al. A remote sensing surface energy balance algorithm for land (SEBAL). , 1998 .
[4] M. Mccabe,et al. Estimating Land Surface Evaporation: A Review of Methods Using Remotely Sensed Surface Temperature Data , 2008 .
[5] Benjamin F. Zaitchik,et al. Evaluation of the Global Land Data Assimilation System using global river discharge data and a source‐to‐sink routing scheme , 2010 .
[6] Yong Zhou,et al. Crop discrimination in Northern China with double cropping systems using Fourier analysis of time-series MODIS data , 2008, Int. J. Appl. Earth Obs. Geoinformation.
[7] O. Hagolle,et al. LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION: Part 1: Principles of the algorithm , 2007 .
[8] Phillip A. Arkin,et al. An Intercomparison and Validation of High-Resolution Satellite Precipitation Estimates with 3-Hourly Gauge Data , 2009 .
[9] Thomas Heinemann,et al. THE EUMETSAT MULTI-SENSOR PRECIPITATION ESTIMATE ( MPE ) , 2004 .
[10] Christelle Vancutsem,et al. GlobCover: ESA service for global land cover from MERIS , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.
[11] Massimo Menenti,et al. Estimation of sensible heat flux using the Surface Energy Balance System (SEBS) and ATSR measurements , 2003 .
[12] A. Belward,et al. GLC2000: a new approach to global land cover mapping from Earth observation data , 2005 .
[13] J. Norman,et al. Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature , 1995 .
[14] Matthew F. McCabe,et al. Surface energy fluxes with the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) at the Iowa 2002 SMACEX site (USA) , 2005 .
[15] Jeffrey P. Walker,et al. THE GLOBAL LAND DATA ASSIMILATION SYSTEM , 2004 .
[16] Arjen Y. Hoekstra,et al. The global component of freshwater demand and supply: an assessment of virtual water flows between nations as a result of trade in agricultural and industrial products , 2008 .
[17] P. Döll,et al. MIRCA2000—Global monthly irrigated and rainfed crop areas around the year 2000: A new high‐resolution data set for agricultural and hydrological modeling , 2010 .
[18] A. Hoekstra,et al. A global and high-resolution assessment of the green, blue and grey water footprint of wheat , 2010 .
[19] Massimo Menenti,et al. S-SEBI: A simple remote sensing algorithm to estimate the surface energy balance , 2000 .
[20] A. Hoekstra,et al. Water footprints of nations: Water use by people as a function of their consumption pattern , 2006 .
[21] T. Gaiser,et al. Integrated assessment of groundwater resources in the Oueme Basin, Benin, West Africa , 2009 .
[22] A. Hoekstra,et al. Globalisation of water resources: Global virtual water flows in relation to international crop trade , 2005 .
[23] Xavier Blaes,et al. Efficiency of crop identification based on optical and SAR image time series , 2005 .
[24] Arjen Ysbert Hoekstra,et al. Water Footprint Manual : State of the Art 2009 , 2009 .
[25] J. Famiglietti,et al. Satellite-based estimates of groundwater depletion in India , 2009, Nature.
[26] N. R. Rao,et al. RETRACTED ARTICLE: Development of a crop‐specific spectral library and discrimination of various agricultural crop varieties using hyperspectral imagery , 2008 .
[27] Nicolas Ghilain,et al. 43. Towards a Continuous Monitoring of Evapotranspiration Based on MSG Data , 2007 .
[28] Yudong Tian,et al. Multitemporal Analysis of TRMM-Based Satellite Precipitation Products for Land Data Assimilation Applications , 2007 .
[29] John Wahr,et al. Monitoring the water balance of Lake Victoria, East Africa, from space. , 2009 .
[30] N. Batjes. ISRIC-WISE derived soil properties on a 5 by 5 arc-minutes global grid (ver. 1.2) , 2006 .
[31] M. Mccabe,et al. Closing the terrestrial water budget from satellite remote sensing , 2009 .
[32] Z. Su. The Surface Energy Balance System ( SEBS ) for estimation of turbulent heat fluxes , 2002 .
[33] H. Farah,et al. Estimation of regional evaporation under different weather conditions from satellite and meteorological data: a case study in the Naivasha Basin, Kenya , 2001 .
[34] Chen Zhongxin,et al. Crop discrimination in Northern China with double cropping systems using Fourier analysis of time-series MODIS data , 2008 .
[35] J. Janowiak,et al. CMORPH: A Method that Produces Global Precipitation Estimates from Passive Microwave and Infrared Data at High Spatial and Temporal Resolution , 2004 .
[36] A. Hoekstra,et al. Globalization of Water: Sharing the Planet's Freshwater Resources , 2008 .
[37] A. Holtslag,et al. A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation , 1998 .
[38] Kuolin Hsu,et al. Estimation of physical variables from multichannel remotely sensed imagery using a neural network: Application to rainfall estimation , 1999 .
[39] J. A. Allan,et al. Virtual Water: A Strategic Resource Global Solutions to Regional Deficits , 1998 .
[40] L. S. Pereira,et al. Revised FAO Procedures for Calculating Evapotranspiration: Irrigation and Drainage Paper No. 56 with Testing in Idaho , 2001 .
[41] Paul Berrisford,et al. Towards a climate data assimilation system: status update of ERA-interim , 2008 .
[42] L. Gómez-Chova,et al. Coupled retrieval of aerosol optical thickness, columnar water vapor and surface reflectance maps from ENVISAT/MERIS data over land , 2008 .
[43] Qile Zhao,et al. DEOS Mass Transport model (DMT-1) based on GRACE satellite data: methodology and validation , 2010 .
[44] Obi Reddy P. Gangalakunta,et al. Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium , 2009 .
[45] Rana Chatterjee,et al. Estimation of replenishable groundwater resources of India and their status of utilization , 2009 .
[46] Hong Yang,et al. Global consumptive water use for crop production: The importance of green water and virtual water , 2009 .
[47] S. Sorooshian,et al. Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks , 1997 .
[48] Pamela L. Nagler,et al. Integrating Remote Sensing and Ground Methods to Estimate Evapotranspiration , 2007 .
[49] Dafang Zhuang,et al. Advances in Multi-Sensor Data Fusion: Algorithms and Applications , 2009, Sensors.
[50] J. Janowiak,et al. COMPARISON OF NEAR-REAL-TIME PRECIPITATION ESTIMATES FROM SATELLITE OBSERVATIONS AND NUMERICAL MODELS , 2007 .
[51] N. Ramankutty,et al. Farming the planet: 1. Geographic distribution of global agricultural lands in the year 2000 , 2008 .
[52] Mutlu Ozdogan,et al. A new methodology to map irrigated areas using multi-temporal MODIS and ancillary data: An application example in the continental US , 2008 .
[53] Albert Olioso,et al. Evaluation of the Surface Energy Balance System (SEBS) applied to ASTER imagery with flux-measurements at the SPARC 2004 site (Barrax, Spain) , 2009 .
[54] Hong Yang,et al. Modeling the role of irrigation in winter wheat yield, crop water productivity, and production in China , 2007, Irrigation Science.
[55] Bart Nijssen,et al. Global Retrospective Estimation of Soil Moisture Using the Variable Infiltration Capacity Land Surface Model, 1980–93 , 2001 .
[56] Alan H. Strahler,et al. Global land cover mapping from MODIS: algorithms and early results , 2002 .
[57] M. Romaguera,et al. Land surface temperature retrieval from MSG1-SEVIRI data , 2004 .
[58] Assefa M. Melesse,et al. Spatially distributed storm runoff depth estimation using Landsat images and GIS , 2002 .
[59] Klaus Scipal,et al. Large-scale soil moisture mapping in western Africa using the ERS scatterometer , 2000, IEEE Trans. Geosci. Remote. Sens..
[60] Albert Olioso,et al. Application of a simple algorithm to estimate daily evapotranspiration from NOAA–AVHRR images for the Iberian Peninsula , 2007 .
[61] Martha C. Anderson,et al. A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 2. Surface moisture climatology , 2007 .
[62] T. D. Mitchell,et al. An improved method of constructing a database of monthly climate observations and associated high‐resolution grids , 2005 .
[63] Arjen Ysbert Hoekstra,et al. Globalization of water , 2008 .
[64] Martha C. Anderson,et al. A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation , 2007 .
[65] Petra Döll,et al. Quantifying blue and green virtual water contents in global crop production as well as potential production losses without irrigation , 2010 .
[66] Petra Döll,et al. Development and validation of the global map of irrigation areas , 2005 .