Remotely Sensed Boro Rice Production Forecasting Using MODIS-NDVI: A Bangladesh Perspective

Faisal, Budi; Rahman, Hafızur; Sharifee, Nur Hossain; Sultana, Nasrin; Islam, Mohammad Imrul; Ahammad, Tofayel

doi:10.3390/agriengineering1030027

Cited by 19 publications

(6 citation statements)

References 68 publications

(100 reference statements)

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“…Among all VIs, the Normalized Difference Vegetation Index (NDVI) is the most well-known and widely used. The NDVI is based on red and near-infrared (NIR) spectra [32,33]. The NDVI varies from -1.0 to +1.0, where positive values (following an increasing trend) denote healthy vegetation conditions.…”

Section: Introductionmentioning

confidence: 99%

Anthropogenic Factors Affecting the Vegetation Dynamics in the Arid Middle East

Rousta¹,

Ólafsson²,

Zhang³

et al. 2020

Preprint

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The spatiotemporal variability of vegetation in the Middle East was investigated for the period 2001–2019 using the Moderate Resolution Imaging Spectroradiometer (MODIS) 16-day/500 m composites of the Normalized Difference Vegetation Index (NDVI; MOD13A1). The results reveal a strong increase in the NDVI coverage in the Middle East during the study period (R = 0.75, p-value = 0.05). In Egypt, the annual coverage exhibits the strongest positive trend (R = 0.99, p-value = 0.05). In Turkey, both the vegetation coverage and density increased from 2001 to 2019, which can be attributed to the construction of some of the biggest dams in the Middle East, such as the Atatürk and Ilisu dams. Significant increases in the annual coverage and maximum and average NDVI in Saudi Arabia are due to farming in the northern part of the country for which groundwater and desalinated seawater are used. The results of this study suggest that the main factors affecting the vegetation coverage in the Middle East are governmental policies. These policies can have a positive effect on the vegetation coverage in some countries such as Egypt, Saudi Arabia, Qatar, Kuwait, Iran, and Turkey.

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Section: Introductionmentioning

confidence: 99%

Anthropogenic Factors Affecting the Vegetation Dynamics in the Arid Middle East

Rousta¹,

Ólafsson²,

Zhang³

et al. 2020

Preprint

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“…Compared with the collection V data set, the 8-day surface reflection data (pre-synthesized based on the Terra and Aqua data) were used, the CV-MVC synthesis method was modified, and the necessary SDS was adjusted to reflect the new input data flow, which improves the change-detection ability of the product [ 49 ]. We selected the best available pixel value from the data set collected in 16 days with a resolution of 500 m, resulting in NDVI values with low cloud cover and low viewing angles [ 50 ].…”

Section: Study Area and Data Processingmentioning

confidence: 99%

Spatial-Temporal Evolution and Driving Forces of NDVI in China’s Giant Panda National Park

Zhao

et al. 2022

IJERPH

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Identifying the ecological evolution trends and vegetation driving mechanisms of giant panda national parks can help to improve the protection of giant panda habitats. Based on the research background of different geomorphological zoning, we selected the MODIS NDVI data from 2000 to 2020 to analyze the NDVI trends using a univariate linear model. A partial correlation analysis and multiple correlation analysis were used to reveal the influence of temperature and precipitation on NDVI trends. Fourteen factors related to meteorological factors, topographic factors, geological activities, and human activities were selected, and the Geographically Weighted Regression model was used to study the mechanisms driving NDVI change. The results were as follows: (1) The NDVI value of Giant Panda National Park has fluctuated and increased in the past 21 years, with an annual growth rate of 4.7%/yr. Affected by the Wenchuan earthquake in 2008, the NDVI value fluctuated greatly from 2008 to 2012, and reached its peak in 2018. (2) The NDVI in 94% of the study area improved, and the most significant improvement areas were mainly distributed in the northern and southern regions of Southwest Subalpine and Middle Mountain and the Xiaoxiangling area. Affected by the distribution of fault zones and their local activities, vegetation degradation was concentrated in the Dujiangyan–Anzhou area of Hengduan Mountain Alpine Canyon. (3) The Geographically Weighted Regression analysis showed that natural factors were dominant, with climate and elevation having a double-factor enhancement effect, the peak acceleration of ground motion and fault zone having a superimposed effect, and river density and slope having a double effect, all of which had a significant impact on the NDVI value of the surrounding area. To optimize the ecological security pattern of the Giant Panda National Park, we recommended strengthening the construction of ecological security projects through monitoring meteorological changes, preventing, and controlling geo-hazards, and optimizing the layout and intensity of human activities.

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“…Among all VIs, Normalized Difference Vegetation Index (NDVI) is the most well-known and widely used. NDVI is based on red and near-infrared (NIR) spectra [42], [43]. NDVI varies from -1.0 to +1.0, where positive values (following an increasing trend) denote healthy vegetation conditions.…”

Section: Introductionmentioning

confidence: 99%

Anthropogenic Factors Affecting the Vegetation Dynamics in the Arid Middle East

Rousta

Ólafsson

Zhang

et al. 2022

Environmental and Climate Technologies

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The spatiotemporal variability of vegetation in the Middle East was investigated for the period 2001–2019 using the Moderate Resolution Imaging Spectroradiometer (MODIS) 16-day/500 m composites of the Normalized Difference Vegetation Index (NDVI; MOD13A1). The results reveal a strong increase in NDVI coverage in the Middle East during the study period (R = 0.75, p-value = 0.05). In Egypt, the annual coverage exhibits the strongest positive trend (R = 0.99, p-value = 0.05). In Turkey, both the vegetation coverage and density increased from 2001 to 2019, which can be attributed to the construction of some of the biggest dams in the Middle East, such as the Atatürk and Ilisu dams. Significant increases in the annual coverage and maximum and average NDVI in Saudi Arabia are due to farming in the northern part of the country for which groundwater and desalinated seawater are used. The results of this study suggest that one of the main factors affecting vegetation coverage in the Middle East are governmental policies. These policies could lead to an increase in vegetation coverage in some countries such as Egypt, Saudi Arabia, Qatar, Kuwait, Iran, and Turkey.

show abstract

Remotely Sensed Boro Rice Production Forecasting Using MODIS-NDVI: A Bangladesh Perspective

Cited by 19 publications

References 68 publications

Anthropogenic Factors Affecting the Vegetation Dynamics in the Arid Middle East

Anthropogenic Factors Affecting the Vegetation Dynamics in the Arid Middle East

Spatial-Temporal Evolution and Driving Forces of NDVI in China’s Giant Panda National Park

Anthropogenic Factors Affecting the Vegetation Dynamics in the Arid Middle East

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