Assessment of Water Quality Parameters in the Hooghly Estuary, India, using Sentinel-3 and Global Biogeochemical Analysis and Forecasts Products
Vaishali Portal,Ramachandra Prasad Pillutla
An International Journal of Marine Sciences, Thalassas, 2024
Abs | | bib Tex
@inproceedings{bib_Asse_2024, AUTHOR = {Vaishali Portal, Ramachandra Prasad Pillutla}, TITLE = {Assessment of Water Quality Parameters in the Hooghly Estuary, India, using Sentinel-3 and Global Biogeochemical Analysis and Forecasts Products}, BOOKTITLE = {An International Journal of Marine Sciences}. YEAR = {2024}}
Analysing the fragile islandscape of Ritchie’s Archipelago: understanding land use changes, biodiversity loss, and tourism impacts on both the ecosystem and islanders
Mahammad Mustafa,Ramachandra Prasad Pillutla
GeoJournal, GJ, 2024
Abs | | bib Tex
@inproceedings{bib_Anal_2024, AUTHOR = {Mahammad Mustafa, Ramachandra Prasad Pillutla}, TITLE = {Analysing the fragile islandscape of Ritchie’s Archipelago: understanding land use changes, biodiversity loss, and tourism impacts on both the ecosystem and islanders}, BOOKTITLE = {GeoJournal}. YEAR = {2024}}
Assessing the water quality dynamics in the coastal waters of Kollam (Kerala, India) using Sentinel images
Anagha Prasad,Rama Chandra Prasad Pillutla,N. Srinivasa Rao
Anthropocene Coast, A Coast, 2024
@inproceedings{bib_Asse_2024, AUTHOR = {Anagha Prasad, Rama Chandra Prasad Pillutla, N. Srinivasa Rao}, TITLE = {Assessing the water quality dynamics in the coastal waters of Kollam (Kerala, India) using Sentinel images}, BOOKTITLE = {Anthropocene Coast}. YEAR = {2024}}
Coastal waters are complex, dynamic, and sensitive, and any change in the system impacts the marine environment and life. Coastal water quality has been decreasing due to the incursion of anthropogenic derived waste and toxins into the ocean. This study investigates water quality along the Kollam coast of Kerala State, India, using Sentinel-2 Multispectral Imager (MSI) data for the period of 2019–2022. Four key water quality parameters, chlorophyll (Chl-a), total suspended matter (TSM), turbidity, and coloured dissolved organic matter (CDOM), were analysed for seasonal variations and driving factors. The study highlights the potential of web-based platforms like Google Earth Engine for facilitating large-scale water quality assessments. The results reveal a distinct seasonal pattern in all parameters, primarily influenced by monsoonal riverine discharge and anthropogenic activities as contributing factors to water quality degradation. Overall, the study emphasises the need for comprehensive monitoring and management strate- gies to ensure the long-term sustainability of the coastal ecosystem.
Geoscape characterization of
Ashtamudi, Sasthamkotta, and Vembanad Ramsar sites in Kerala, India
Nandakrishnan,Rama Chandra Prasad Pillutla
Water Resources, WR, 2024
@inproceedings{bib_Geos_2024, AUTHOR = {Nandakrishnan, Rama Chandra Prasad Pillutla}, TITLE = {Geoscape characterization of
Ashtamudi, Sasthamkotta, and Vembanad Ramsar sites in Kerala, India}, BOOKTITLE = {Water Resources}. YEAR = {2024}}
Wetlands, which serve as transitional zones between terrestrial and aquatic environments, play a crucial role in providing diverse ecosystem services for the sustenance of wildlife and mankind. Unfortunately, these delicate systems have experienced illicit human interventions in recent times, resulting in degradation and deterioration. Despite being designated as protected areas, wetlands are being exploited beyond their ecological capacity, posing a threat to their sustainability and potential existence in the near future. The present study aims to analyse the historical spatial changes in three wetlands located in Kerala, India, both before and after their declaration as Ramsar sites. Ashtamudi Lake, Sasthamkotta Lake, and Vembanad Lake were the focus areas, and the study employed multi-temporal satellite data sets from 1988 to 2023 to generate land use and land cover maps. The objective was to assess the ecological transitions, particularly the expansion of urbanization and subsequent reclamation of wetlands. By analysing the changes in aerial extent of each land cover class within the study area, the study identified spatio-temporal transitions and modifications occurring in and around the Ramsar sites. A comparison of the thematic maps from 1988 to 2023 revealed a significant increase in built-up areas and a noticeable reduction in vegetation, agriculture, and water bodies, both in terms of extent and quality. The study identified various socio-economic drivers that are responsible for these changes and emphasized the urgent need for regular monitoring and management of these wetland ecosystems. It stresses the importance of treating wetland conservation as a priority.
Wind dispersed tree
species have greater maximum height.
Slik Ferry,Rama Chandra Prasad Pillutla
Global Ecology and Biogeography, GEBG, 2024
@inproceedings{bib_Wind_2024, AUTHOR = {Slik Ferry, Rama Chandra Prasad Pillutla}, TITLE = {Wind dispersed tree
species have greater maximum height.}, BOOKTITLE = {Global Ecology and Biogeography}. YEAR = {2024}}
Aim
We test the hypothesis that wind dispersal is more common among emergent tree species given that being tall increases the likelihood of effective seed dispersal.
Location
Americas, Africa and the Asia-Pacific.
Time period
1970–2020.
Major taxa studied
Gymnosperms and Angiosperms.
Methods
We used a dataset consisting of tree inventories from 2821 plots across three biogeographic regions (Americas, Africa and Asia-Pacific), including dry and wet forests, to determine the maximum height and dispersal strategy of 5314 tree species. A web search was used to determine whether species were wind-dispersed. We compared differences in tree species maximum height between biogeographic regions and examined the relationship between species maximum height and wind dispersal using logistic regression. We also tested whether emergent tree species, that is species with at least one individual taller than the 95% height percentile in one or more plots, were disproportionally wind dispersed in dry and wet forests within each biogeographic region.
Results
Our dataset provides maximum height values for 5314 tree species, of which more than half (2914) had no record of this trait in existing global databases. We found that, on average, tree species in the Americas have lower maximum heights compared to those in Africa and the Asia Pacific. The probability of wind dispersal increased significantly with tree species maximum height and was significantly higher among emergent than non-emergent tree species in both dry and wet forests in all three biogeographic regions.
Main conclusion
Wind dispersal is more prevalent in tall, emergent tree species than in non-emergent species and may thus be an important factor in the evolution of tree species maximum height. By providing the most comprehensive dataset so far of tree species maximum height and wind dispersal strategies, this study paves the way for advancing our understanding of the eco-evolutionary drivers of tree size.
Assessment of forest fire emissions in Uttarakhand State, India, using Open Geospatial data and Google Earth Engine
Laxmi Goparaju,Ramachandra Prasad Pillutla,Suresh Babu
Environmental Science and Pollution Research, ESPR, 2023
Abs | | bib Tex
@inproceedings{bib_Asse_2023, AUTHOR = {Laxmi Goparaju, Ramachandra Prasad Pillutla, Suresh Babu}, TITLE = {Assessment of forest fire emissions in Uttarakhand State, India, using Open Geospatial data and Google Earth Engine}, BOOKTITLE = {Environmental Science and Pollution Research}. YEAR = {2023}}
In the recent past, forest fires have increased due to the changing climate pattern. It is necessary to analyse and quantify various gaseous emissions so as to mitigate their harmful effects on air pollution. Satellite remote sensing data provides an opportunity to study the greenhouse gases in the atmosphere. The multispectral sensor of the Tropospheric Monitoring Instrument (Sentinel-5) is capable of recording the reflectance of wavelengths vital for measuring the atmospheric concentrations of methane, formaldehyde, aerosol, carbon monoxide, etc., at a spatial resolution of 0.01°. The present study utilized the Google Earth Engine (GEE) platform to study the emissions caused by forest fires in four districts of Uttarakhand State of India, which witnessed unprecedented fires in April-May 2021. All the datasets were ingested in GEE, which has the capability to analyse large datasets without the need to download them. The pre-fire period chosen was September 2020; the fire period was February-May 2021, and the post-fire period was June 2021. The variables chosen were aerosol absorbing index (AAI), carbon monoxide (CO) and nitrogen dioxide (NO2). The climate parameter temperature (Moderate Resolution Imaging Spectroradiometer Land Surface Temperature) and precipitation (from Climate Hazards Group InfraRed Precipitation (CHIRPS) Pentad) were also studied for the period mentioned. The results indicate a different trend for emissions in each district. For AAI, maximum emissions were noted in district Nainital
Assessing the impact of spatio-temporal land use and land cover changes on land surface temperature, with a major emphasis on mining activities in the state of Chhattisgarh, India
Shubham Bhagat,Ramachandra Prasad Pillutla
Spatial Information Research, SpIR, 2023
Abs | | bib Tex
@inproceedings{bib_Asse_2023, AUTHOR = {Shubham Bhagat, Ramachandra Prasad Pillutla}, TITLE = {Assessing the impact of spatio-temporal land use and land cover changes on land surface temperature, with a major emphasis on mining activities in the state of Chhattisgarh, India}, BOOKTITLE = {Spatial Information Research}. YEAR = {2023}}
The global impact of coal mining and associated activities on land use/land cover (LULC) changes is significant. This study used Landsat satellite images from 1990 to 2020 to assess LULC changes and their impact on land surface temperature (LST) in four districts of Chhattisgarh state, India. Over three decades, Korba and Raigarh districts saw expansion in coal mines, built-up areas, and water bodies, while forest areas diminished by 711.3 km2 and 212.87 km2, respectively. Koriya district saw coal mine expansion of 5.68 km2 (1990–2010), later declining to 2.85 km2, alongside growth in built-up regions, and forest cover reduction by 251.31 km2 in 2020. Surguja district experienced coal mine and built-up area expansion (1990–2020), with initial forest decline of 160.21 km2 in 2010 followed by recovery in 2020. LST was determined using the Mono-window algorithm. LST increased during winter and summer, with the most significant rise in summer. Vegetation-rich regions had lower LST, while coal mines had the highest temperatures. There was a positive relationship between mining land patch size and patch temperatures. This study underscores the need for vegetation restoration in mining areas, particularly abandoned sites, and sustainable mining practices to mitigate coal mining's warming effects.
Modeling Uncertainty Quantification of NDVI of Agricultural Fields through Bayesian Linear Regression in Time Series Prediction
MARIMGANTI SRINIVAS,Rama Chandra Prasad Pillutla
A Practical Guide to Sentiment Analysis, PGSA, 2023
@inproceedings{bib_Mode_2023, AUTHOR = {MARIMGANTI SRINIVAS, Rama Chandra Prasad Pillutla}, TITLE = {Modeling Uncertainty Quantification of NDVI of Agricultural Fields through Bayesian Linear Regression in Time Series Prediction}, BOOKTITLE = {A Practical Guide to Sentiment Analysis}. YEAR = {2023}}
Assessing impact of land-use changes on land surface temperature and modelling future scenarios of Surat, India
S. R. S. Vasanthawada,H. Puppala,Ramachandra Prasad Pillutla
International Journal of Environmental Science and Technology, IJEST, 2022
Abs | | bib Tex
@inproceedings{bib_Asse_2022, AUTHOR = {S. R. S. Vasanthawada, H. Puppala, Ramachandra Prasad Pillutla}, TITLE = {Assessing impact of land-use changes on land surface temperature and modelling future scenarios of Surat, India}, BOOKTITLE = {International Journal of Environmental Science and Technology}. YEAR = {2022}}
Understanding the nexus between land use land cover (LULC) and land surface temperature (LST) of a rapidly growing city may help planners mitigate the effects of uncontrolled urbanization on the micro- and macro-environment. The primary focus of the study is to monitor the transient LULC of Surat, one of the rapidly growing cities in India. To comprehend the urban dynamics, the study analyses the tri-decadal LULC of Surat using temporal Landsat imagery corresponding to 1990, 2001, 2009, and 2020. Besides classification of satellite data to derive LULC using the maximum likelihood algorithm, emphasis has been given to evaluate the normalized difference vegetation index and normalized difference built-up index, which help in differentiating vegetation and built-up from other land-use types. In addition, the LST of Surat is computed, and zonal analysis is performed to examine its association with LULC. Results show that the built-up area of Surat increased by 3.22 times during the considered time, while the aerial extent of vegetation decreased by 1.58 times. Future land-use dynamics are predicted using the Markov model. Findings revealed that the built-up area is expected to increase by 20% between 2020 and 2030, while the vegetation area is likely to decrease by 13%. The developed model attained an accuracy of 52.08%, which is in agreement with the past studies. The findings of this study help urban planners and stakeholders to devise effective policies that can mitigate the
