The study on variability of NDVI over Kerala using satellite observations

Sha, Kevin; Srinivasa, Apoorva; Madhu, Dhanya

doi:10.1063/5.0029907

Cited by 12 publications

(4 citation statements)

References 18 publications

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“…Remote sensing and geographic information systems are powerful scienti c tools for supporting analysis and monitoring land use and land cover change. Sha et al (2020) stated remote sensing systems provide valuable measurements to study changes in the various environmental factors. Further, they provide the means for observing regions.…”

Section: Introductionmentioning

confidence: 99%

Vegetation Cover Change and Its Diversity in Urban Areas of Medan

Zaitunah¹,

Samsuri²,

Sahara³

2021

Preprint

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Vegetation plays an important role in maintaining the environmental quality of urban areas. Increase in population and development of cities has led to land conversion with lesser vegetated areas. Land cover change analysis in urban areas is needed, especially for urban regional planning with green open space consideration. This research was conducted to analyze urban vegetation cover and its changes in two sub-districts of Medan between the years 1999 and 2019. Normalized difference vegetation index (NDVI) and change analysis were conducted in the research. The diversity of plant within this areas was observed. The results showed changes in vegetation cover areas in the mentioned years. In 1999, most of the areas were under a highly dense vegetation class while in 2019, they were under a low-density vegetation class. This indicates a decrease in vegetation cover due to changes to non-vegetation cover or land cover areas with less vegetation. There are a diverse of plants within the area such as paddy, cassava, corn etc and also many tree species. It is recommended to optimize the land by replanting in the area with no or less vegetation to maintain the environmental quality.

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Section: Introductionmentioning

confidence: 99%

Vegetation Cover Change and Its Diversity in Urban Areas of Medan

Zaitunah¹,

Samsuri²,

Sahara³

2021

Preprint

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“…Precipitation and soil moisture are strongly linked to the development and growth of vegetation (Sharma et al, 2022). The quantity and quality of vegetation in an area strongly correlate with temperature and precipitation (Sha et al, 2020). Although the impacts of vegetation changes on the climate are still poorly understood and there are significant uncertainties, especially across Central Asia, vegetation changes can play a significant role in influencing local land surface temperatures (Yuan et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Impacts of urbanization, LULC, LST, and NDVI changes on the static water table with possible solutions and water policy discussions: A case from Islamabad, Pakistan

Sohail

Manzoor²,

Ehsan³

et al. 2023

Front. Environ. Sci.

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Rapid urbanization, coupled with land use land cover changes (LULC), has caused stress on freshwater resources around the globe. As in the case of Islamabad, the capital of Pakistan, the population has increased significantly, creating a deficit of natural resources and affecting the environment adversely. Therefore, the purpose of this study is to examine the effects of urbanization and LULC on the decline of the static water table in Islamabad. It also seeks to analyze water policy issues in order to achieve sustainable water resource development. The excessive pumping of the existing groundwater has exceeded the safe limit, which is justified by the constantly growing population. However, the changes in the LULC of the study area have turned many green pastures into barren land. Our research data were obtained from the Capital Development Authority (CDA), Pakistan Meteorological Department (PMD), and Landsat Satellite images. After analyzing PMD and CDA data for the last 20 years (2000–2020), the results were interpreted using Arc GIS. It has been observed that the Normalized Difference Vegetation Index (NDVI) value increases as the Land Surface Temperature (LST) decreases. Therefore, the overall observation is a decreasing trend in Islamabad temperatures due to the increased vegetation in the study area during the period of 2000–2020. It was observed that there has been a considerable drop in water levels due to over-pumping in a few areas. It is primarily associated with the increasing population of the capital in the last 2 decades. This study uses a survey to explore the potential locations for check dams to enhance and recharge the groundwater aquifers in the capital, Islamabad. It suggests catchment areas throughout the Margalla Hills along with different localities, such as Rumli Village, Trail 5, and Shahdara.

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“…Temperature and precipitation are firmly connected with the vegetation amount and quality in a spot. Regular fluctuation in environment alongside human cooperations has significant effect (Sha et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Sensitivity of normalized difference vegetation index (NDVI) to land surface temperature, soil moisture and precipitation over district Gautam Buddh Nagar, UP, India

Sharma

Bangotra

Gautam

et al. 2021

Stoch Environ Res Risk Assess

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This study examines the trends in MODIS/TERRA derived Normalized Difference Vegetation Index (NDVI) and its correlation with Land Surface Temperature (LST), Soil Moisture (SM), and precipitation over Gautam Buddh Nagar (India), during the period 2005-2018. The region have a sub-humid and quite moderate climate, scattered into cultivable land, forest and fast growing urbanization zone, making it suitable for monitoring vegetation trends and its accompanying factors. The NDVI-derived vegetation growth patterns over the study region of District Gautam Buddh Nagar, illustrate vigorous seasonal cycles, and interannual variations. The correlation between NDVI, and LST (-0.45) was observed to be higher than the correlation of NDVI with SM (r = 0.43), and precipitation (r = 0.341), suggesting NDVI as more sensitive to LST as compare to SM, and precipitation, while SM shows the worthy positive correlation (r = 0.63) with the precipitation. On a seasonal basis, NDVI shows high values during winter (0.45 ± 0.02) followed by monsoon (0.44 ± 0.04), post-monsoon (0.41 ± 0.02), and pre-monsoon (0.37 ± 0.04). This study also aims to determine the phase wise status of NDVI and associated parameters.

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The study on variability of NDVI over Kerala using satellite observations

Cited by 12 publications

References 18 publications

Vegetation Cover Change and Its Diversity in Urban Areas of Medan

Vegetation Cover Change and Its Diversity in Urban Areas of Medan

Impacts of urbanization, LULC, LST, and NDVI changes on the static water table with possible solutions and water policy discussions: A case from Islamabad, Pakistan

Sensitivity of normalized difference vegetation index (NDVI) to land surface temperature, soil moisture and precipitation over district Gautam Buddh Nagar, UP, India

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