Acta Scientiarum Polonorum
serie Formatio Circumiectus – Environmental Processes
RESEARCH PAPER
Kharif rice crop acreage and yield estimation using microwave and optical remote sensing time series satellite data: A case study of the eastern region of Maharashtra
1
Geo-Informatics, Department of Civil Engineering, Graphic Era (Deemed to be University) (Accredited with Grade ‘A+’ by NAAC), 248002 Dehradun, Uttrakhand, India
Submission date: 2024-05-21
Final revision date: 2024-07-26
Acceptance date: 2024-07-27
Publication date: 2024-11-20
Corresponding author
Kishan Singh Rawat
Geo-Informatics, Department of Civil Engineering, Graphic Era (Deemed to be University) (Accredited with Grade 'A' by NAAC) Dehradun - 248002, Uttrakhand, India
Geo-Informatics, Department of Civil Engineering, Graphic Era (Deemed to be University) (Accredited with Grade 'A' by NAAC) Dehradun - 248002, Uttrakhand, India
Acta Sci. Pol. Formatio Circumiectus 2024;23(3):57-69
HIGHLIGHTS
- HIGHLIGHTS
- 1. Synthetic Aperture Radar excels in cloud-covered paddy field mapping."
- 2. "VH polarization better for wetland crop differentiation."
- 3. "Random Forest classification achieves 83.2% accuracy in paddy detection."
- 4. "Multi-year SAR data critical for monitoring paddy crop phenological changes."
KEYWORDS
TOPICS
ABSTRACT
Aim of the study:
The study aims to assess the feasibility of using remote sensing to estimate crop area and yield in a major rice-growing region of Maharashtra.
Material and methods:
Recent advancements in remote sensing technology, including improvements in image resolution and availability, allowed for timely data collection. The study employs a random forest classifier to identify rice crop using sentinel-1A SAR temporal backscatter satellite images. Additionally, a semi-physical method that incorporates remote sensing and physiological concepts such as Photo-synthetically Active Radiation and a fraction of PAR absorbed by the crop is used to estimate crop yield.
Results and conclusions:
Net Primary Product was calculated using the Monteith model. The calculation of Kharif rice yield involved considering the actual NPP, Radiation use efficiency, and Harvest index. The present study was conducted throughout two kharif seasons, 2020 and 2021. Although there are minor differences in kharif rice area and yield estimations, the model is still applicable in other significant kharif rice-growing regions of India.
The study aims to assess the feasibility of using remote sensing to estimate crop area and yield in a major rice-growing region of Maharashtra.
Material and methods:
Recent advancements in remote sensing technology, including improvements in image resolution and availability, allowed for timely data collection. The study employs a random forest classifier to identify rice crop using sentinel-1A SAR temporal backscatter satellite images. Additionally, a semi-physical method that incorporates remote sensing and physiological concepts such as Photo-synthetically Active Radiation and a fraction of PAR absorbed by the crop is used to estimate crop yield.
Results and conclusions:
Net Primary Product was calculated using the Monteith model. The calculation of Kharif rice yield involved considering the actual NPP, Radiation use efficiency, and Harvest index. The present study was conducted throughout two kharif seasons, 2020 and 2021. Although there are minor differences in kharif rice area and yield estimations, the model is still applicable in other significant kharif rice-growing regions of India.
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| ISSN: | 1644-0765 |
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