Parameterization of the modified water cloud model (MWCM) using normalized difference vegetation index (NDVI) for winter wheat crop: a case study from Punjab, India-Reference-Cited by-同舟云学术

Parameterization of the modified water cloud model (MWCM) using normalized difference vegetation index (NDVI) for winter wheat crop: a case study from Punjab, India

Published:2020-07-09 Issue: Volume: Page:1-14
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Rawat Kishan Singh¹,Singh Sudhir Kumar²^ORCID,Ray Ram L.³^ORCID,Szabo Szilard⁴^ORCID

Affiliation:

1. Centre for Remote Sensing and Geo-Informatics, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India

2. K. Banerjee Centre for Atmospheric and Ocean Studies, IIDS, Nehru Science Centre, University of Allahabad, Allahabad, Uttar Pradesh, India

3. Cooperative Agricultural Research Center, Prairie View A&M University, Prairie View, TX, USA

4. Department of Physical Geography and Geoinformation Systems, University of Debrecen, Debrecen, Hungary

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2020.1783579

Reference46 articles.

1. Vegetation modeled as a water cloud

2. Calibration of the Water Cloud Model at C-Band for Winter Crop Fields and Grasslands

3. Assessment and validation of evapotranspiration using SEBAL algorithm and Lysimeter data of IARI agricultural farm, India

4. Extracting water-related features using reflectance data and principal component analysis of Landsat images

5. Advantages and limitations of genetic algorithms for clustering records

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