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Estimation of Net Rice Production through Improved CASA Model by Addition of Soil Suitability Constant (ħα)

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  • Syed Muhammad Hassan Raza

    (Remote Sensing group, Department of Space Science, University of the Punjab, Quaid-e-Azam Campus, Lahore 54590, Pakistan)

  • Syed Amer Mahmood

    (Remote Sensing group, Department of Space Science, University of the Punjab, Quaid-e-Azam Campus, Lahore 54590, Pakistan)

Abstract

Net primary production (NPP) is an important indicator of the supply of food and wood. We used a hierarchy model and real time field observations to estimate NPP using satellite imagery. Net radiation received by rice crop canopies was estimated as 27,428 Wm −2 (215.4 Wm −2 as averaged) throughout the rice cultivation period (RCP), including 23,168 Wm −2 (118.3 Wm −2 as averaged) as shortwave and 4260 Wm −2 (34.63 Wm −2 as averaged) as longwave radiation. Soil, sensible and latent heat fluxes were approximated as 3324 Wm −2 , 16,549 Wm −2 , and 7554 Wm −2 , respectively. Water stress on rice crops varied between 0.5838 and 0.1218 from the start until the end of the RCP. Biomass generation declined from 6.09–1.03 g/m 2 in the tillering and ripening stages, respectively. We added a soil suitability constant (ħα) into the Carnegie-Ames-Stanford Approach (CASA) model to achieve a more precise estimate of yield. Classification results suggest that the total area under rice cultivation was 8861 km 2 . The spatial distribution of rice cultivation as per suitability zone was: 1674 km 2 was not suitable (NS), 592 km 2 was less suitable (LS), 2210 km 2 was moderately suitable (MS) and 4385 km 2 was highly suitable (HS) soil type with ħα ranges of 0.05–0.25, 0.4–0.6, 0.7–0.75 and 0.85–0.95 of the CASA based yield, respectively. We estimated net production as 1.63 million tons, as per 0.46 ton/ha, 1.2 ton/ha 1.9 ton/ha and 2.4 ton/ha from NS, LS, MS and HS soil types, respectively. The results obtained through this improved CASA model, by addition of the constant ħα, are likely to be useful for agronomists by providing more accurate estimates of NPP.

Suggested Citation

  • Syed Muhammad Hassan Raza & Syed Amer Mahmood, 2018. "Estimation of Net Rice Production through Improved CASA Model by Addition of Soil Suitability Constant (ħα)," Sustainability, MDPI, vol. 10(6), pages 1-21, May.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:1788-:d:149602
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    References listed on IDEAS

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    3. Qiang Zhu & Jianjun Zhao & Zhenhua Zhu & Hongyan Zhang & Zhengxiang Zhang & Xiaoyi Guo & Yunzhi Bi & Li Sun, 2017. "Remotely Sensed Estimation of Net Primary Productivity (NPP) and Its Spatial and Temporal Variations in the Greater Khingan Mountain Region, China," Sustainability, MDPI, vol. 9(7), pages 1-16, July.
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    1. Awais Karamat & Abdul Rehman, 2019. "Estimation of net rice production for the fiscal year 2019 using historical datasets," International Journal of Agriculture & Sustainable Development, 50sea, vol. 1(2), pages 47-65, March.
    2. Ayesha Behzad & Usman Rafique, 2019. "Estimation of Net Primary Production of Rice Crop using CASA model in Nankana Sahib," International Journal of Agriculture & Sustainable Development, 50sea, vol. 1(1), pages 30-46, February.
    3. Muhammad Saifullah & Bilal Islam, 2019. "Estimation of Water Stress on Rice Crop Using Ecological Parameters," International Journal of Agriculture & Sustainable Development, 50sea, vol. 1(1), pages 17-29, January.
    4. Syeda Areeba Gillani & Saif ul Rehman, 2019. "Appraisal of Urban Heat Island over Gujranwala and its Environmental Impact Assessment using Satellite Imagery (1995-2016)," International Journal of Innovations in Science & Technology, 50sea, vol. 1(1), pages 1-14, January.

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