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Article ; Online: Gauging the effects of the COVID-19 pandemic lockdowns on atmospheric pollution content in select countries.

Mandal, Jayatra / Patel, Priyank Pravin

Remote sensing applications : society and environment

2021 Volume 23, Page(s) 100551

Abstract: Image 1. ...

Abstract	Image 1.
Language	English
Publishing date	2021-06-05
Publishing country	Netherlands
Document type	Journal Article
ISSN	2352-9385
ISSN (online)	2352-9385
DOI	10.1016/j.rsase.2021.100551
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Crop-type mapping and acreage estimation in smallholding plots using Sentinel-2 images and machine learning algorithms

Manas Hudait / Priyank Pravin Patel

Egyptian Journal of Remote Sensing and Space Sciences, Vol 25, Iss 1, Pp 147-

Some comparisons

2022 Volume 156

Abstract: Crop acreage analysis and yield estimation are of prime importance in field-level agricultural monitoring and management. This enables prudent decision making during any crop failure event and for ensuing crop insurance. The free availability of the high ...

Abstract	Crop acreage analysis and yield estimation are of prime importance in field-level agricultural monitoring and management. This enables prudent decision making during any crop failure event and for ensuing crop insurance. The free availability of the high resolution Sentinel-2 satellite datasets has created new possibilities for mapping and monitoring agricultural lands in this regard. In the present study conducted on the Tamluk Subdivision of the Purba Medinipur District of West Bengal, the heterogeneous crop area was mapped according to the respective crop type, using Sentinel-2 multi-spectral images and two machine learning algorithms- K Nearest Neighbour (KNN) and Random Forest (RF). Plot-level field information was collected from different cropland types to frame the training and validation datasets (comprising 70% and 30% of the total dataset, respectively) for cropland classification and accuracy assessment. Through this, the major summer crop acreage was identified (Boro rice, vegetables and betel vine- the three main crops in the study area). The extracted maps had an overall accuracy of 97.16% and 97.22%, respectively, in the KNN and RF classifications, with respective Kappa index values of 95.99% and 96.08%, and the RF method proved to be more accurate. This study was particularly useful in mapping the betel leaf acreage herein since scant information exists for this crop and it is cultivated by many smallholder farmers in the region. The methods used in this paper can be readily applied elsewhere for accurately enumerating the respective crop acreages.
Keywords	Machine learning algorithms ; Smallholder agriculture ; Crop acreage ; Betel vine cultivation ; Geodesy ; QB275-343
Subject code	571
Language	English
Publishing date	2022-02-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Crop-type mapping and acreage estimation in smallholding plots using Sentinel-2 images and machine learning algorithms: Some comparisons

Hudait, Manas / Patel, Priyank Pravin

National Authority of Remote Sensing & Space Science The Egyptian Journal of Remote Sensing and Space Sciences (Online). 2022 Feb., v. 25, no. 1

2022

Abstract	Crop acreage analysis and yield estimation are of prime importance in field-level agricultural monitoring and management. This enables prudent decision making during any crop failure event and for ensuing crop insurance. The free availability of the high resolution Sentinel-2 satellite datasets has created new possibilities for mapping and monitoring agricultural lands in this regard. In the present study conducted on the Tamluk Subdivision of the Purba Medinipur District of West Bengal, the heterogeneous crop area was mapped according to the respective crop type, using Sentinel-2 multi-spectral images and two machine learning algorithms- K Nearest Neighbour (KNN) and Random Forest (RF). Plot-level field information was collected from different cropland types to frame the training and validation datasets (comprising 70% and 30% of the total dataset, respectively) for cropland classification and accuracy assessment. Through this, the major summer crop acreage was identified (Boro rice, vegetables and betel vine- the three main crops in the study area). The extracted maps had an overall accuracy of 97.16% and 97.22%, respectively, in the KNN and RF classifications, with respective Kappa index values of 95.99% and 96.08%, and the RF method proved to be more accurate. This study was particularly useful in mapping the betel leaf acreage herein since scant information exists for this crop and it is cultivated by many smallholder farmers in the region. The methods used in this paper can be readily applied elsewhere for accurately enumerating the respective crop acreages.
Keywords	acreage ; betel ; crop failure ; crop insurance ; cropland ; data collection ; leaves ; rice ; satellites ; summer ; India
Language	English
Dates of publication	2022-02
Size	p. 147-156.
Publishing place	Elsevier B.V.
Document type	Article
ISSN	1110-9823
DOI	10.1016/j.ejrs.2022.01.004
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Inventory and GLOF hazard assessment of glacial lakes in the Sikkim Himalayas, India

Islam, Nazimul / Patel, Priyank Pravin

Geocarto International. 2022 Dec. 8, v. 37, no. 13 p.3840-3876

2022

Abstract: Glacial Lake Outburst Floods (GLOFs) are a recurring hazard in the Himalayas, posing significant threat to downstream communities. The North Sikkim district of India, comprising the upper reaches of the Teesta River in the Eastern Himalayas, has ... ...

Abstract	Glacial Lake Outburst Floods (GLOFs) are a recurring hazard in the Himalayas, posing significant threat to downstream communities. The North Sikkim district of India, comprising the upper reaches of the Teesta River in the Eastern Himalayas, has experienced past GLOF events. The identification of lakes susceptible to this phenomenon is therefore paramount. Using multi-temporal satellite images, this study tracks lake growth in the region, revealing that 203 new lakes had developed herein during the observation period (2000–2018). Of these, 82 lakes had formed during 2011–2018 alone; indicating marked glacial retreat and consequent lake area growth, alongside a rising temperature trend. Using various weighted geometric and geomorphic parameters, the 36 most hazardous lakes were identified, from which the 10 lakes posing the greatest GLOF threat were discerned. These lakes are mostly situated along the main snowline and Great Himalayan water-divide in the north-eastern part of Sikkim and should be monitored continuously.
Keywords	geometry ; glaciation ; hazard characterization ; inventories ; lakes ; rivers ; satellites ; temperature ; Himalayan region ; India ; Eastern Himalayas ; GLOF ; glacier ; glacial lake ; lake mapping
Language	English
Dates of publication	2022-1208
Size	p. 3840-3876.
Publishing place	Taylor & Francis
Document type	Article ; Online
ISSN	1752-0762
DOI	10.1080/10106049.2020.1869332
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Site suitability assessment for traditional betel vine cultivation and crop acreage expansion in Tamluk Subdivision of Eastern India using AHP-based multi-criteria decision making approach

Hudait, Manas / Patel, Priyank Pravin

Computers and Electronics in Agriculture. 2022 Sept., v. 200 p.107220-

2022

Abstract: Crop-specific land suitability analysis can better support a region's agricultural base and enhance its resource utilization efficiency. In this study, we employ the Analytical Hierarchic Process-based Multi-Criteria Decision-Making approach together ... ...

Abstract	Crop-specific land suitability analysis can better support a region's agricultural base and enhance its resource utilization efficiency. In this study, we employ the Analytical Hierarchic Process-based Multi-Criteria Decision-Making approach together with geospatial inputs/methods to assess land suitability for betel leaf cultivation in Tamluk Subdivision of Purba Medinipur district in West Bengal, India. Seventeen individual parameters grouped into five categories - physiographic, land use and land cover, climatic, pedologic and infrastructural - were used. The respective ranks of the influencing factors were assigned based on collated farmer responses and expert opinions obtained during an extensive field survey, while a pair-wise comparison matrix was used to calculate their respective weights. Internal variations within individual factors were categorized by assigning scores based on their importance to betel leaf production, as ascertained from published literature and fieldwork. Results show that only 6.86% of the region is highly suitable and available for betel leaf cultivation, 30.15% area is moderately suitable, while 11.26% is marginally suitable but can be enhanced through apt land/water management practices. A 500 × 500 m grid overlay further elicited location specific combinations of the different land suitability classes and the presence/absence of waterbodies required for irrigation. It also ascertained the locational aptness of current betel leaf plots while identifying new expansion sites for this crop on the basis of grids having more than 40% of suitable lands with available water resources. The study presents possibly the first documentation of land suitability specifically for betel vine plots in Eastern India and thus thus provides a valuable insight into this high-value cash crop agribusiness, which can be useful for framing crop-specific policies. The methods used herein can be readily employed for similar agricultural assessments (in respect of betel vine or other crops) in other regions.
Keywords	agribusiness ; agriculture ; betel ; cash crops ; crop acreage ; electronics ; farmers ; irrigation ; land suitability ; land use and land cover maps ; leaves ; multi-criteria decision making ; surface water ; surveys ; vines ; water management ; India ; Betel leaf ; Smallholding agriculture ; Farmland prospects ; Cash crop ; Argo-industry
Language	English
Dates of publication	2022-09
Publishing place	Elsevier B.V.
Document type	Article ; Online
ZDB-ID	395514-x
ISSN	0168-1699
ISSN	0168-1699
DOI	10.1016/j.compag.2022.107220
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Where Is the Peri-Urban? A Systematic Review of Peri-Urban Research and Approaches for Its Identification and Demarcation Worldwide

Mehebub Sahana / Joe Ravetz / Priyank Pravin Patel / Hashem Dadashpoor / Alexander Follmann

Remote Sensing, Vol 15, Iss 1316, p

2023 Volume 1316

Abstract: Metropolitan areas worldwide have grown rapidly and are usually surrounded by peri-urban zones that are neither urban nor rural. Despite widespread use of the term ‘peri-urban’, physical determination of these spaces is difficult due to their transient ... ...

Abstract	Metropolitan areas worldwide have grown rapidly and are usually surrounded by peri-urban zones that are neither urban nor rural. Despite widespread use of the term ‘peri-urban’, physical determination of these spaces is difficult due to their transient nature and multiple definitions. While many have identified peri-urban areas regionally or globally, questions persist on where exactly the peri-urban is located, and what are the most apt methods to delineate its boundaries. The answers are pertinent towards framing targeted policies for governing the dynamic socio-spatial transformations in these zones. This paper reviews peri-urban research over the last 50-plus years to discern the existing methodologies for its identification/demarcation and their applications. For this, a total of 3124 documents on peri-urban studies were identified through keyword searches in Scopus and Google Scholar databases. Thereafter, 56 documents were examined that explicitly dealt with demarcating peri-urban zones. Results reveal that there is no standout/generalized method for peri-urban demarcation. Rather, these approaches are geographically specific and vary across developed and developing countries, due to differences in land-use patterns, socioeconomic drivers, and political systems. Thus, we recommend developing a ‘pluralistic’ framework for determining peri-urban boundaries at the regional–global scale to enable better framing of relevant policies.
Keywords	peri-urban growth ; peri-urban areas ; rural–urban interface ; peri-urban demarcation ; bibliometric analysis ; Science ; Q
Subject code	710 ; 720
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Ecosystem services value assessment and forecasting using integrated machine learning algorithm and CA-Markov model: an empirical investigation of an Asian megacity

Das, Subhasis / Shit, Pravat Kumar / Patel, Priyank Pravin

Geocarto International. 2022 Dec. 13, v. 37, no. 25 p.8417-8439

2022

Abstract: The ecosystem services in an area are quite dependent on its ambient land use and land cover (LULC) attributes. Here we assess the spatio-temporal distribution of Ecosystem Services Value (ESV) for the years 1990, 2000, 2010, 2020, based on the then ... ...

Abstract	The ecosystem services in an area are quite dependent on its ambient land use and land cover (LULC) attributes. Here we assess the spatio-temporal distribution of Ecosystem Services Value (ESV) for the years 1990, 2000, 2010, 2020, based on the then existing LULC aspects of the Kolkata Urban Agglomeration in eastern India. Further, these are simulated for 2030, 2040 and 2050 to determine the future potential ESV. The respective LULC layers were extracted from Landsat images using the support vector machine method and future projections were done using Markov Chain-Cellular Automata models. Results reveal that all LULC aspects are likely to significantly decrease except built-up tracts. The available ESV shall concomitantly decline by 29.7%, especially due to wetland loss. The ESV patterns also showed strong spatial correlation/clustering, with higher ESV patches locating along rivers/wetlands. These results can better inform management of high-value EVS components for sustaining/improving the urban environmental quality.
Keywords	Landsat ; cities ; ecosystems ; environmental quality ; land use and land cover maps ; models ; support vector machines ; wetlands ; India ; Ecosystem service value (ESV) ; land use/land cover (LULC) ; support vector machine (SVM) ; spatial correction ; Kolkata urban agglomeration (KUA)
Language	English
Dates of publication	2022-1213
Size	p. 8417-8439.
Publishing place	Taylor & Francis
Document type	Article ; Online
ISSN	1752-0762
DOI	10.1080/10106049.2021.2002424
Database	NAL-Catalogue (AGRICOLA)

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Article: Planform changes and alterations of longitudinal connectivity caused by the 2019 flood event on the braided Brahmaputra River in Assam, India

Rajbanshi, Joy / Das, Sharmistha / Patel, Priyank Pravin

Geomorphology. 2022 Apr. 15, v. 403

2022

Abstract: The longitudinal connectivity of rivers facilitates the downstream transfer of discharge and sediment. Any alterations to this component can potentially impair/block sediment movement, resulting in deposition and planform alterations. This effect is more ...

Abstract	The longitudinal connectivity of rivers facilitates the downstream transfer of discharge and sediment. Any alterations to this component can potentially impair/block sediment movement, resulting in deposition and planform alterations. This effect is more enhanced in braided rivers, which usually convey large sediment volumes. In this study, we use Graph Theory to analyze the impact of a big flood event (July 2019 flood) on the channel planform configuration of the Brahmaputra River in the eastern Indian state of Assam. The in-betweenness centrality and structural sediment connectivity of the nodes (channel confluences/diffluences) and links were computed using different indices. The node accessibility was enumerated using the Shimbel Index. Sedimentographs were devised to simulate the likely sediment outflow volumes and its duration in the post-flood scenario. Our results reveal that significant changes in the channel planform were caused by this flood event, which repositioned mid-channel and bank-attached bar deposits and realigned the river's entwined multiple threads. These engendered alterations in the existing channel bifurcations and inter-node connections, thereby impacting on how the sediment was transferred and its pathways. The enumerated accessibility index and simulated sediment volumes reflected the above changes, with reach-wise variations apparent in these aspects. This study helps comprehend the flood-induced planform morphological changes in braided streams, which has implications for navigation. The framework used here can also be applied to assess other braided rivers.
Keywords	geomorphology ; mathematical theory ; rivers ; sediments ; India
Language	English
Dates of publication	2022-0415
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	58028-4
ISSN	0169-555X
ISSN	0169-555X
DOI	10.1016/j.geomorph.2022.108174
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Article ; Online: Short-chain n-alkanes in benthic mats and mosses from the Larsemann Hills, East Antarctica

Chatterjee, Subham / Das, Supriyo Kumar / Behera, Pravat Kumar / Ghosh, Devanita / Chakraborty, Arindam / Patel, Priyank Pravin / Ikehara, Minoru

Organic Geochemistry. 2023 May, v. 179 p.104587-

2023

Abstract: Variation in leaf colour (green, red and grey) of mosses and lake benthic mats in Antarctica is often linked to water stress and ultraviolet light (UV-B) exposure. Changes in the abundance of organic compounds, such as pectin and phenols, are associated ... ...

Abstract	Variation in leaf colour (green, red and grey) of mosses and lake benthic mats in Antarctica is often linked to water stress and ultraviolet light (UV-B) exposure. Changes in the abundance of organic compounds, such as pectin and phenols, are associated with mechanisms protecting against desiccation and UV radiation. However, the function of n-alkanes, especially against UV radiation, is rarely examined. Here, gas chromatography–mass spectrometry and Fourier-transform infrared spectroscopy analyses were performed to study the variation in n-alkanes in freshwater lake benthic mats and mosses collected from the Larsemann Hills in East Antarctica. Stable isotopes of organic carbon and nitrogen, environmental DNA characterisation and microscopy-based analyses are used to estimate the presence of cyanobacteria, algae and diatoms in moss and benthic mat consortia. Variation in the short-chain (n-C₁₇ to n-C₂₀) versus long-chain (n-C₂₁ to n-C₃₀) n-alkanes in the mosses and benthic mats with their colour were noted. The research links the relative abundance of short-chain n-alkanes to the UV-B exposure and proposes that Antarctic mosses and benthic mats synthesise short-chain n-alkanes for protection against UV-B.
Keywords	Fourier transform infrared spectroscopy ; alkanes ; color ; environmental DNA ; freshwater lakes ; gas chromatography-mass spectrometry ; geochemistry ; leaves ; mosses and liverworts ; nitrogen ; organic carbon ; pectins ; ultraviolet radiation ; water stress ; Antarctic region ; Antarctica ; Larsemann Hills ; Benthic mat ; Moss ; n-alkanes
Language	English
Dates of publication	2023-05
Publishing place	Elsevier Ltd
Document type	Article ; Online
ISSN	0146-6380
DOI	10.1016/j.orggeochem.2023.104587
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Some respite for India's dirtiest river? Examining the Yamuna's water quality at Delhi during the COVID-19 lockdown period.

Patel, Priyank Pravin / Mondal, Sayoni / Ghosh, Krishna Gopal

The Science of the total environment

2020 Volume 744, Page(s) 140851

Abstract: The Yamuna's stretch within Delhi is considered as the dirtiest river reach in India and despite numerous restoration plans, pollution levels have risen unabated. However, the enforcement of a nationwide lockdown due to the ongoing COVID-19 pandemic can ... ...

Abstract	The Yamuna's stretch within Delhi is considered as the dirtiest river reach in India and despite numerous restoration plans, pollution levels have risen unabated. However, the enforcement of a nationwide lockdown due to the ongoing COVID-19 pandemic can possibly provide a ray of hope. We analyze the lockdown's impact on the water quality status of this stretch using a combination of measured parameters and satellite image derived indices. Class C Water Quality Index estimates of nine stations indicate an improvement of 37% during the lockdown period. The Biological Oxygen Demand and Chemical Oxygen Demand values reduced by 42.83% and 39.25%, respectively, compared to the pre-lockdown phase, while Faecal Coliform declined by over 40%. Similar analysis of 20 major drains that meet the Yamuna revealed declining effluent loads and discernable improvements in drain contaminant status were ascertained via a hierarchical cluster analysis. Reach-wise suspended particulate matter content, turbidity and algal signatures were derived from multi-temporal Landsat-8 images of prior and ongoing lockdown periods for 117 channel segment zones. These parameters also declined notably within most stretches, although their extents were spatially varied. While the partial/non-operational status of most industries during the lockdown enabled significant reduction in effluent loads and a consequent betterment in the river water quality, its spatial variations and even deterioration in some locations resulted from the largely undiminished inflow of domestic sewage through multiple drains. This study provides an estimate of possible river recovery extents and degree of improvement if deleterious polluting activities and contaminants are regulated properly.
MeSH term(s)	Betacoronavirus ; COVID-19 ; Coronavirus Infections ; Environmental Monitoring ; Humans ; India ; Pandemics ; Pneumonia, Viral ; Rivers ; SARS-CoV-2 ; Water Quality
Keywords	covid19
Language	English
Publishing date	2020-07-14
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2020.140851
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