Remote Sensing-Based Yield Estimation of Winter Wheat Using Vegetation and Soil Indices in Jalilabad, Azerbaijan

Concerns about the expanding human population’s adequate supply of food draw attention to the field of Food Security. Future-focused analysis and processing of agricultural data not only improve planning capabilities in this field but also enables the required precautions to be taken beforehand. How...

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Bibliographic Details
Published in:ISPRS international journal of geo-information 2023-03, Vol.12 (3), p.124
Main Authors: Karimli, Nilufar, Selbesoğlu, Mahmut Oğuz
Format: Article
Language:English
Subjects:
Agricultural production
Agriculture
Cotton
Crop fields
Crop yield
DEM
Food security
Food supply
Geographic information systems
Growth models
Human populations
Laboratories
LAI
Methods
NDVI
Optical measuring instruments
Planning
Productivity
Radar
Regression analysis
Regression models
Remote sensing
Remote sensors
Salinity
Satellites
slope
SQI
Trends
Unmanned aerial vehicles
Vegetation
Wheat
Winter wheat
yield
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Summary:Concerns about the expanding human population’s adequate supply of food draw attention to the field of Food Security. Future-focused analysis and processing of agricultural data not only improve planning capabilities in this field but also enables the required precautions to be taken beforehand. However, given the breadth and number of these regions, field research would be an expensive and time-consuming endeavour. With the advent of remote sensing and optical sensors, it is now possible to acquire diverse data remotely, quickly, and inexpensively. This study investigated the limitations and capabilities of remote sensing data application in the field of planning Food Security. As a result, Sentinel 2 and Shuttle Radar Topography Mission (SRTM) data were used to estimate winter wheat yields with a high degree of accuracy (98.03%) using the Mamatkulov technique and the MEDALUS model, which was both free and widely available. This method can make it possible to make predictions about the productivity of newly created crop fields or for which we do not have information about the productivity of previous years, without the need to wait for building regression models or any field studies. Considering the outcome, wide-range and larger analyses on this topic can be carried through.
ISSN:2220-9964
2220-9964
DOI:10.3390/ijgi12030124