Cotton cultivated area detection and yield monitoring combining remote sensing with field data in lower Indus River basin, Pakistan

Naveed, Muhammad; He, Hong S.; Zong, Shengwei; Du, Haibo; Satti, Zulqarnain; Sun, Hang; Chang, Song

doi:10.1007/s10661-023-11004-3

Cited by 2 publications

(3 citation statements)

References 39 publications

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“…At 1350 to 1580 nm, leaves with high EWT and other indicators show comparatively low reflectance. The spectral region of the reflectance spectrum is primarily influenced by pigment absorption (mostly by chlorophyll molecules) 56 , 57 . Increased relative reflectance at wavelengths between 1400–1580 nm resulted from the dehydration of leaves, affecting their optical characteristics.…”

Section: Discussionmentioning

confidence: 99%

“…The spectral region of the reflectance spectrum is primarily influenced by pigment absorption (mostly by chlorophyll molecules). 56,57 Increased relative reflectance at wavelengths between 1400-1580 nm resulted from the dehydration of leaves, affecting their optical characteristics. However, numerous published research documents erratic changes in leaf reflectance during dehydration, such as an overall rise, a decrease, and no significant fluctuations in reflectance.…”

Section: Leaf Properties Based On Individual Wavelengthmentioning

confidence: 99%

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Spectral indices for tracing leaf water status with hyperspectral reflectance data

Yasir

Zhang

Tang

et al. 2023

J. Appl. Rem. Sens.

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Plant water stress can be detected via remote sensing. The objective of the study was to determine which leaf water index is best for assessing leaf water content from the laboratory standpoint. This study investigated the relationship between equivalent water thicknesses (EWT), gravimetric water content (GWC), and plant water concentration in the 350-to 2500-nm reflectance spectral range. A total of 277 leaf samples taken from ten different plants were used as calibration dataset, and 605 leaves from different plants, including LOPEX93 and ANGERS database, were used for validation. Three specific indices were analyzed: simple ratio, normalized ratio, and double difference (Datt type of index). A regression approach based on the iteration method at 5-nm interval was used for model calibration. Three bands index was found the most suitable and was validated by 605 leaf samples: for the linear regression model, the index is ðR 1910 − R 1340 Þ∕ðR 1910 − R 1125 Þ with R 2 ¼ 0.96 and root mean square error ðRMSEÞ ¼ 0.001 ðg∕cm 2 Þ and, for nonlinear regression model the index is ðR 1930 − R 1425 Þ∕ðR 1930 − R 1360 Þ with R 2 ¼ 0.95 and RMSE ¼ 0.001 ðg∕cm 2 Þ for EWT. The newly proposed indices take advantage of being able to eliminate additional noise created by the leaf surface, making them helpful for agricultural-related research.

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Section: Discussionmentioning

confidence: 99%

Section: Leaf Properties Based On Individual Wavelengthmentioning

confidence: 99%

Spectral indices for tracing leaf water status with hyperspectral reflectance data

Yasir

Zhang

Tang

et al. 2023

J. Appl. Rem. Sens.

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“…Agriculture and cotton is the backbone of Pakistan economy. After wheat crop fiber is the most important cash crop of Pakistan (Naveed et al, 2023). According to Bhutto et al, (2018) demand for cotton is increasing day by day as population is also increasing.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Impact of Better Cotton Production Initiatives Taken by Small Farmers in District Tando Allahyar, Sindh, Pakistan within the Context of the Circular Economy

Khan,

Wagan

2024

ABGMCE

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Cotton is an important source of income for small farm holders in India and Pakistan. Production of cotton in Pakistan is lesser than potential due to different socio-economic factors, effective decision-making, lack of proper marketing, high insect/pests attack and less use of fertilizer (Abbas, et al 2017). Present study was carried out to study the impact of Better Cotton (BT) production initiatives taken by small farmers in district Tando Allahyar Sindh Pakistan. Results show that the Farmer Field School (FFS) training in cotton is very beneficial for farmers by creating awareness regarding the proper use of pesticides, fertilizers there by increasing cotton yield and reducing farmer’s exposure to use poisonous pesticides which in turn decrease, human and animal health hazards. Results revealed that average revenue per acre was Rs.93800 while the average cost of production was 38635.81 per acre. Average net income per acre stood at Rs.55165.19 for small farmers who adopted better cotton production initiatives in district Tando Allahyar. Government should arrange such training programs at the national level, take actions against distribution and usage of banned and un-registered pesticides and incorporate the same at policy level.

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Cotton cultivated area detection and yield monitoring combining remote sensing with field data in lower Indus River basin, Pakistan

Cited by 2 publications

References 39 publications

Spectral indices for tracing leaf water status with hyperspectral reflectance data

Spectral indices for tracing leaf water status with hyperspectral reflectance data

Assessing the Impact of Better Cotton Production Initiatives Taken by Small Farmers in District Tando Allahyar, Sindh, Pakistan within the Context of the Circular Economy

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