Application of Remote Sensing and GIS for Crop lnventory- Crop Discrimination, Acreage and Yield estimation - A case study Saharanpur district, Uttar Pradesh State (lndia)

Mansour D; Saha S.k; Patel N.r; Road Kalidas

Article Details

Application of Remote Sensing and GIS for Crop lnventory- Crop Discrimination, Acreage and Yield estimation - A case study Saharanpur district, Uttar Pradesh State (lndia)

Authors:

Mansour D | Saha S.k | Patel N.r | Road Kalidas

Publisher:

Institut national de cartographie et de télédétection

Journal:

Bulletin des sciences géographiques de l'INCT Vol.16 Issue 1, pp.52-58

Document Type:

Article

Publication Date:

6/2012

Document Language:

English

Document ID (Org No.):

2001451663

pISSN:

2602-5574

Keywords:

Abstract:

 This paper reviews the application of remote sensing techniques and maximum likelihood classification for crop discrimination, using optical data for crop identification in both crop seasons (Rabi and Kharif'). Satellite data are extensively used to produce the crop and land use inventory. The present study was conducted to evaluate the contribution of multi -temporal images analysis to elaborate the cropland land use inventory. This study has been carried out for Saharanpur district of Uttar Pradesh State for crop acreage estimation and yield distribution, during Rabi and kharif of the year 2005-2006. Two types of data have been used in this study - IRS IC- LISS III for October 15,2005 and IRS IC- LISS III for February 12, 2006. In this approach, the district administrative boundary of Saharanpur district was overlaid over the remote sensing image to extract the image Saharanpur district in ali four bands. Then crops area were identified and estimated by following super vised maximum likelihood digital classification. Statistic results of multidate images classification of March and October, show accuracies 91.41% and 97% respectively for October and February. As well as the yield distribution around 39% of geographical area of Saharanpur district between 32q/ha to 39q/ha.

Article Details

Application of Remote Sensing and GIS for Crop lnventory- Crop Discrimination, Acreage and Yield estimation - A case study Saharanpur district, Uttar Pradesh State (lndia)

Authors:

Mansour D | Saha S.k | Patel N.r | Road Kalidas

Publisher:

Institut national de cartographie et de télédétection

Journal:

Bulletin des sciences géographiques de l'INCT Vol.16 Issue 1, pp.52-58

Document Type:

Article

Publication Date:

6/2012

Document Language:

English

Document ID (Org No.):

2001451663

pISSN:

2602-5574

remote sensing

digital classification

crop inventory

acreage

yields

Issues

Article Details

Application of Remote Sensing and GIS for Crop lnventory- Crop Discrimination, Acreage and Yield estimation - A case study Saharanpur district, Uttar Pradesh State (lndia)

Authors: Mansour D | Saha S.k | Patel N.r | Road Kalidas

Publisher: Institut national de cartographie et de télédétection

Journal: Bulletin des sciences géographiques de l'INCT Vol.16 Issue 1, pp.52-58

Document Type: Article

Publication Date: 6/2012

Document Language: English

Document ID (Org No.): 2001451663

pISSN: 2602-5574

remote sensing

digital classification

crop inventory

acreage

yields

Issues

Authors:

Mansour D | Saha S.k | Patel N.r | Road Kalidas

Publisher:

Institut national de cartographie et de télédétection

Journal:

Bulletin des sciences géographiques de l'INCT Vol.16 Issue 1, pp.52-58

Document Type:

Article

Publication Date:

6/2012

Document Language:

English

Document ID (Org No.):

2001451663

pISSN:

2602-5574