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Geocarto International Volume 14, 1999 - Issue 4
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Original Articles

Multi‐Season Atmospheric Normalization of NOAA AVHRR Derived NDVI for Crop Yield Modeling

M. B. Potdar Space Applications Center, Ahmedabad, 380 053, India
,
K. R. Manjunath Space Applications Center, Ahmedabad, 380 053, India
&
N. L. Purohit State Remote Sensing Applications Centre, Jodhpur, 342 003, India
Pages 52-57 | Published online: 02 Jan 2008

Citations (9)

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Amit Kumar Verma, Pradeep Kumar Garg, K. S. Hari Prasad & Vinay Kumar Dadhwal. (2020) Modelling of sugarcane yield using LISS-IV data based on ground LAI and yield observations. Geocarto International 35:8, pages 887-904.
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C. Brock Porth, Lysa Porth, Wenjun Zhu, Milton Boyd, Ken Seng Tan & Kai Liu. (2020) Remote Sensing Applications for Insurance: A Predictive Model for Pasture Yield in the Presence of Systemic Weather. North American Actuarial Journal 24:2, pages 333-354.
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Lenny Wall, Denis Larocque & Pierre‐Majorique Léger. (2008) The early explanatory power of NDVI in crop yield modelling. International Journal of Remote Sensing 29:8, pages 2211-2225.
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O. Rojas. (2007) Operational maize yield model development and validation based on remote sensing and agro‐meteorological data in Kenya. International Journal of Remote Sensing 28:17, pages 3775-3793.
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Jesús Soria-Ruíz & Yolanda Fernández-Ordoñez. (2003) Prediction of Corn Yield in Mexico Using Vegetation Indices from NOAA‐AVHRR Satellite Images and Degree‐days. Geocarto International 18:4, pages 33-42.
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K. R. Manjunath, M. B. Potdar & N. L. Purohit. (2002) Large area operational wheat yield model development and validation based on spectral and meteorological data. International Journal of Remote Sensing 23:15, pages 3023-3038.
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Articles from other publishers (3)

Alessia Cogato, Franco Meggio, Cassandra Collins & Francesco Marinello. (2020) Medium-Resolution Multispectral Data from Sentinel-2 to Assess the Damage and the Recovery Time of Late Frost on Vineyards. Remote Sensing 12:11, pages 1896.
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Felix Rembold, Clement Atzberger, Igor Savin & Oscar Rojas. (2013) Using Low Resolution Satellite Imagery for Yield Prediction and Yield Anomaly Detection. Remote Sensing 5:4, pages 1704-1733.
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C. Brock Porth, Lysa Porth, Wenjun Zhu, Milton S. Boyd, Ken Seng Tan & Kai Liu. (2018) Remote Sensing Applications for Insurance: A Predictive Model for Pasture Yield in the Presence of Systemic Weather. SSRN Electronic Journal.
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