KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/31466
Title: | Regional Rice Yield Estimation by Integration of Spatial Technologies and Crop model |
Other Titles: | Not Available |
Authors: | Sailaja B., Voleti S. R., Subrahmanyam D., Nathawat M.S., Rao N.H. |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | Directorate of Rice Research, Rajendranagar, Hyderabad, India 2 Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India National Academy of Agricultural Research Management (NAARM), Rajendranagar |
Published/ Complete Date: | 2013-06-01 |
Project Code: | Not Available |
Keywords: | rice, yield estimation, remote sensing, GIS, Oryza2000 model, NDVI |
Publisher: | STM Journals |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | This study investigates how spatial technologies like remote sensing and GIS (Geographic Information System) integrated with a crop growth model to estimate paddy rice yields. Two approaches were used to estimate rice yield one is from remote sensing images and another from soil, climate layers of GIS, linked to the crop model. Oryza2000 model was used as a crop model to link with these technologies. Results show that yield estimated from these two approaches were closed to the reported values from department of Agriculture, Andhra Pradesh, India and yield estimated from remote sensing is more precise than GIS layers. This underscores the potential value of remote sensing, GIS and crop model for yield estimation. The successful application of methodology used in our study to other areas will depend on number of factors including the secondary data estimates, distribution of different crops grown in that area, crop condition at the time of satellite overpass and land scene anomalies. |
Description: | Not Available |
ISSN: | 2230 -7990 |
Type(s) of content: | Journal |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Journal of Remote Sensing & GIS |
Volume No.: | 4 |
Page Number: | 56-66 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/31466 |
Appears in Collections: | CS-IIRR-Publication |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
2013 Journal of Remote sensing & GIS.pdf | 559.73 kB | Adobe PDF | View/Open |
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.