Delineation of Vulnerable Zones for YSB Attacks under Variable Temperatures Using Remote Sensing and GIS

Raza, Syed Muhammad Hassan; Mahmood, Syed Amer; Liesenberg, Veraldo; Hassan, Syed Zameer Ul

doi:10.17582/journal.sja/2018/34.3.589.598

Cited by 5 publications

(3 citation statements)

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“…Computation of Top of Atmosphere (TOA) reflectance is preprocessing phase which is essential to obtain noise free image. Removal of atmospheric noise is significant to get precise results [28]. Computation of TOA return more precise results as compared to atmospheric corrections.…”

Section: Methodsmentioning

confidence: 99%

Estimation of Net Rice Production for the Fiscal year 2019 using Multisource Datasets.

Rehman

Ayyaz

Riaz

et al. 2019

IJASD

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Smallholder farmers are threatened by various vulnerable risks which include hostile weather conditions, rainfall at odd times, disease outbreaks and the market shocks. Crop insurance is the only solution to mitigate these risks. Crop yield records are of great importance to predict the crop yield/area into a region but the developing countries like Pakistan, have limited availability of crop yield records. Crop Reporting Service (CRS) in Punjab province of Pakistan has taken this initiative to save crop related data. We obtained the CRS based datasets of rice crop from (2008-2018) to predict the rice yield/area for the fiscal year 2019. The CRS based datasets were incorporated in collaboration with remotely sensed dataset to obtain more accurate results. The spectral responses of rice crop were taken as input to compute NDVI/RVI values of each year. We applied linear regression to NDVI/RVI and the CRS based yield to generate regression equations for prediction of rice yield for the year 2019 which was computed as 2.09 (ton/ha). The area under rice cultivation was estimated using supervised classification that was 139616 hectors. The net rice production was estimated as 219797 tons. Spectral responses of rice crop canopy proved efficient to determine the net productions.

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Section: Methodsmentioning

confidence: 99%

Estimation of Net Rice Production for the Fiscal year 2019 using Multisource Datasets.

Rehman

Ayyaz

Riaz

et al. 2019

IJASD

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“…Temperature has high impacts on crop phenology [13,14]. The rice crop bearing less temperature leads to delayed productivity in each growth stage.…”

Section: Introductionmentioning

confidence: 99%

Identification of Potential Sites for Rice Plant Growth using Multi Criteria Decision (MCE) Technique Through Remote Sensing and GIS

Mahmood

Saifullah

Zafar

et al. 2019

IJASD

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Rice is one of major corps grown in Pakistan. It is considered as the backbone of Pakistan’s economy. Almost all the rural population of Pakistan is involved in rice preparation from its germination to final harvest. Although its contribution is less in Gross Domestic Product (GDP) of Pakistan, however efforts are on the way to enhance its productivity. The land of Punjab Pakistan produces rice of export quality which is famous throughout the world. Rice crop growth promoting parameters are considered essential to achieve high yield e.g., temperature, humidity, pressure, soil pH, soil type, drainage and electric conductivity. We used Multi-Criteria decision analysis to map temperature base and soil-based rice friendly zones. The results show that the total area under investigation was 3151km2, out of which 2075 km2 was observed highly suitable, 772 km2 was moderately suitable and 303 km2 was not suitable for rice cultivation. On ground validation, it was observed that the areas which were not suitable for rice cultivation, were actually urban area. The urban areas had high temperatures due to anthropogenic activities and fossil fuel emissions. Remote sensing and GIS techniques proved efficient in mapping the suitability zones for rice crop.

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“…Rainfall Spells during Aphid life cycle. Thermal bands are comprised of array of brightness values which are converted to irradiance[23]using the equations as below,…”

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confidence: 99%

Detecting Aphid Concentration in Wheat Leaf Using Remote Sensing and GIS

Khan

Batool

Rana

et al. 2022

IJIST

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Wheat lies among the most prominent cereal crop of Pakistan which has a significant role in the stability of Pakistan’s economy. Certain biotic and a biotic factors including agro-climatic conditions, rainfall, lack of irrigation infrastructure and conventional agricultural methods are raising the risk of aphid attacks. The current study utilized satellite imagery for obtaining thermal datasets of complete wheat growth. Results revealed that rainfall is a significant parameter for the determination of aphid growth on wheat plant. A region receiving 0-10 mm rainfall, supported the growth of aphid. Moreover, the aphid survival was highly supported at a moderate temperature ranging between 20-25 oC with relative humidity ranging from 70-75 %. The study also revealed the production of weed in wheat crop acted as a moistrizing agent which consequently provided favorable conditions to the aphid population for growth. Inapropriate usage of fertilizers increased the nitrogen content in soil which turned to be favourable for the aphid attack. Thus, the study concludes that agro-climatic conditions must be considered before the application of pesticides.

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Delineation of Vulnerable Zones for YSB Attacks under Variable Temperatures Using Remote Sensing and GIS

Cited by 5 publications

References 0 publications

Estimation of Net Rice Production for the Fiscal year 2019 using Multisource Datasets.

Estimation of Net Rice Production for the Fiscal year 2019 using Multisource Datasets.

Identification of Potential Sites for Rice Plant Growth using Multi Criteria Decision (MCE) Technique Through Remote Sensing and GIS

Detecting Aphid Concentration in Wheat Leaf Using Remote Sensing and GIS

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