An Assessment of Resource Potentials for Sustainable Development of Micro-watershed in Tirunelveli District Using Geoinformatics– A Case of Nambiyar Micro-watershed in Tirunelveli District, Tamil Nadu, India

Narmada, K.; Gobinath, K.; Bhaskaran, G.

doi:10.1016/j.aqpro.2015.02.169

Cited by 5 publications

(12 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similar climatic responses of decidous forest were observed in summer by other studies investing impacts of climatic changes on forests [72]. Nevertheless, this deciduous forest area exhibited a decrease (0.03) and an increase (0.3 0 C) in the areal average SAVI and LST, respectively, between 2007 and 2017, indicating the adverse impact of overall rapid and extensive urbanization in Tirunelveli (Table 5 and 7), which is in line with [14].…”

Section: Changes In Soil Permeability and Surface Temperaturesupporting

confidence: 87%

“…Tirunelveli experienced a rapid and extensive urbanization and urban sprawl during the last two decades [14]. The city population has doubled during this time, which depicts Tirunelveli as one of the fastest growing cities in the India [33].…”

Section: Study Areamentioning

confidence: 99%

“…The city population has doubled during this time, which depicts Tirunelveli as one of the fastest growing cities in the India [33]. As a principal business hub of Southern India, Tirunelveli experienced a substantial immigration of people from neighboring cities and rural areas in search for better standard of lives, income and employments [14]. This has caused an uncontrolled expansion of the city and associated adverse effects on the city land, water and air [37].…”

Section: Study Areamentioning

confidence: 99%

“…Particularly, urban areas in developing countries that are experiencing rapid and abrupt expansion due to extensive rural-urban migration and urban sprawl, e.g. fast growing cities like Tirunelveli, India, require detailed and continuous monitoring of landuse and landcover (LULC) changes since UHI can emerge spontaneously through the loss of vegetation and expansion of impermeable surfaces [14]. Emergence of UHI can be controlled and prevented through for proper urban planning, management and regulations of landuse zones that are informed by detailed and continuous LULC change monitoring [15].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Satellite Image Fusion to Detect Changing Surface Permeability and Emerging Urban Heat Islands in a Fast-Growing City

Padmanaban¹,

Cabral²,

Bhowmik³

2018

Preprint

View full text Add to dashboard Cite

Rapid and extensive urbanization has adversely impacted humans and ecological entities in the recent decades through a decrease in surface permeability and the emergence of urban heat islands (UHI). While detailed and continuous assessments of surface permeability and UHI are crucial for urban planning and management of landuse zones, they have mostly involved time consuming and expensive field studies, and single sensor derived large scale aerial and satellite imageries. We demonstrated the advantage of fusing imageries from multiple sensors for landuse and landcover (LULC) change assessments as well as for assessing surface permeability and UHI emergence in Tirunelveli, Tamilnadu, India. Cartosat-2 and Landsat-7 ETM+ imageries from 2007 and 2017 were fused and classified using a Rotation Forest (RF), while surface permeability and temperature were quantified using Soil-Adjusted Vegetation Index (SAVI) and Land Surface Temperature (LST) index, respectively. Fused images exhibited higher classification accuracies than non-fused images, i.e. overall kappa coefficient values 0.83 and 0.75, respectively. We observed an overall increase of 20 km2 (45%) in the coverage of urban (dry, real estate plots and built-up) areas, while a decrease of 27 km2 (37%) for vegetated (cropland and forest) areas in Tirunelveli between 2007 and 2017. The SAVI values indicated an extensive decrease in surface permeability for Tirunelveli overall (0.4) and also for almost all LULC zones. The LST values exhibited an associated overall increase (1.30C) of surface temperature in Tirunelveli with the highest increase (2.40C) for urban built-up areas between 2007 and 2017. The SAVI-LST combined metric depicted the Southeastern built-up areas in Tirunelveli as a potential UHI hotspot, while a caution for the Western riparian zone for UHI emergence in 2017. Our results provide important metrics for surface permeability and UHI monitoring, and inform urban and zonal planning authorities about the advantages of satellite image fusion.

show abstract

Section: Changes In Soil Permeability and Surface Temperaturesupporting

confidence: 87%

Section: Study Areamentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Satellite Image Fusion to Detect Changing Surface Permeability and Emerging Urban Heat Islands in a Fast-Growing City

Padmanaban¹,

Cabral²,

Bhowmik³

2018

Preprint

View full text Add to dashboard Cite

show abstract

“…Monitoring the rate and extent of urbanization and consequent decrease in surface permeability and emergence of UHI provide essential information for averting their adverse impacts on urban residents and ecosystems [14]. Particularly, in fast growing cities like Tirunelveli, India, which are experiencing rapid and abrupt expansion due to extensive rural-urban migration and urban sprawl, UHI can emerge spontaneously through the loss of vegetation and expansion of impermeable surfaces [15]. Hence, they require detailed and continuous monitoring of landuse and landcover (LULC) changes.…”

Section: Introductionmentioning

confidence: 99%

Satellite image fusion to detect changing surface permeability and emerging urban heat islands in a fast-growing city

2019

View full text Add to dashboard Cite

Rapid and extensive urbanization has adversely impacted humans and ecological entities in the recent decades through a decrease in surface permeability and the emergence of Urban Heat Islands (UHI). While detailed and continuous assessments of surface permeability and UHI are crucial for urban planning and management of landuse zones, they mostly involve time consuming and expensive field studies and single sensor derived large scale aerial and satellite imageries. We demonstrated the advantage of fusing imageries from multiple sensors for landuse and landcover (LULC) change assessments as well as for assessing surface permeability and temperature and UHI emergence in a fast growing city, i.e. Tirunelveli, Tamilnadu, India. IRS-LISSIII and Landsat-7 ETM+ imageries were fused for 2007 and 2017, and classified using a Rotation Forest (RF) algorithm. Surface permeability and temperature were then quantified using Soil-Adjusted Vegetation Index (SAVI) and Land Surface Temperature (LST) index, respectively. Finally, we assessed the relationship between SAVI and LST for entire Tirunelveli as well as for each LULC zone, and also detected UHI emergence hot spots using a SAVI-LST combined metric. Our fused images exhibited higher classification accuracies, i.e. overall kappa coefficient values, than non-fused images. We observed an overall increase in the coverage of urban (dry, real estate plots and built-up) areas, while a decrease for vegetated (cropland and forest) areas in Tirunelveli between 2007 and 2017. The SAVI values indicated an extensive decrease in surface permeability for Tirunelveli overall and also for almost all LULC zones. The LST values showed an overall increase of surface temperature in Tirunelveli with the highest increase for urban built-up areas between 2007 and 2017. LST also exhibited a strong negative association with SAVI. Southeastern built-up areas in Tirunelveli were depicted as a potential UHI hotspot, with a caution for the Western riparian zone for UHI emergence in 2017. Our results provide important metrics for surface permeability, temperature and UHI monitoring, and inform urban and zonal planning authorities about the advantages of satellite image fusion.

show abstract

Introduction

Roy¹,

Majumder²

2015

SpringerBriefs in Water Science and Technology

View full text Add to dashboard Cite

An Assessment of Resource Potentials for Sustainable Development of Micro-watershed in Tirunelveli District Using Geoinformatics– A Case of Nambiyar Micro-watershed in Tirunelveli District, Tamil Nadu, India

Cited by 5 publications

References 3 publications

Satellite Image Fusion to Detect Changing Surface Permeability and Emerging Urban Heat Islands in a Fast-Growing City

Satellite Image Fusion to Detect Changing Surface Permeability and Emerging Urban Heat Islands in a Fast-Growing City

Satellite image fusion to detect changing surface permeability and emerging urban heat islands in a fast-growing city

Introduction

Contact Info

Product

Resources

About