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/123456789/34444| Title: | Application of S-SEBI model for crop evapotranspiration using Landsat-8 data over parts of North India |
| Other Titles: | Not Available |
| Authors: | Abhishek Danodia N.R. Patel Choe Won Chol B.R. Nikam Vinay Kumar Sehgal |
| ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
| Author's Affiliated institute: | ISRO::Indian Institute of Remote Sensing ICAR::Indian Agricultural Research Institute |
| Published/ Complete Date: | 2017-09-20 |
| Project Code: | Not Available |
| Keywords: | Remote Sensing Evapotranspiration Crop water use Energy balance Scintillometer |
| Publisher: | Taylor & Francis |
| Citation: | Abhishek Danodia, N. R. Patel, Choe Won Chol, B. R. Nikam & V. K. Sehgal (2019) Application of S-SEBI model for crop evapotranspiration using Landsat-8 data over parts of North India, Geocarto International, 34:1, 114-131, DOI: 10.1080/10106049.2017.1374473 |
| Series/Report no.: | Not Available; |
| Abstract/Description: | Estimation and monitoring of crop evapotranspiration (ETc) or consumptive water use over large-area holds the key to irrigation management plans and regional drought preparedness. The objective of this study was to estimate ETc by applying the simplified-surface energy balance index (S-SEBI) model to Landsat-8 data for the 2014–2015 period in parts of North India. An average ETc was estimated 2.72 and 2.47 in mm day−1 with 0.22, 0.18 standard deviation and 0.11, 0.07 standard error for Kharif and Rabi crops, respectively. On validation part, a close relationship was observed between S-SEBI derived and scintillometer observed evaporative fraction with 0.85 correlation coefficient and 0.86 agreement index. The statistical analysis also endorses the results accuracy and reliability with 0.026 and 0.602, relative root-mean square errors and model efficiency for wheat crop, respectively. The study showed that normalized difference vegetation index and LST are closely related and serve as a proxy for qualitative representation of ETc. |
| Description: | Not Available |
| ISSN: | Not Available |
| Type(s) of content: | Research Paper |
| Sponsors: | Not Available |
| Language: | English |
| Name of Journal: | Geocarto International |
| NAAS Rating: | 9.79 |
| Volume No.: | 34(1) |
| Page Number: | 114 - 131 |
| Name of the Division/Regional Station: | Not Available |
| Source, DOI or any other URL: | https://doi.org/10.1080/10106049.2017.1374473 |
| URI: | http://krishi.icar.gov.in/jspui/handle/123456789/34444 |
| Appears in Collections: | CS-IARI-Publication |
Files in This Item:
There are no files associated with this item.
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.