Land Use/Land Cover Analysis Based on Various Comprehensive Geospatial Data  Sets: A Case Study from Tirupati Area, South India

Nagaraju, A.; Etikala, Balaji; Dash, Padmanava

doi:10.4236/ars.2016.52006

Cited by 43 publications

(13 citation statements)

References 17 publications

(17 reference statements)

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“…Therefore, studying LULCC has been considered an important research in the spatial analysis of remote sensing (RS) since the 1970s (Lo &Shipman, 1990 andTateishi, 2007). Arveti et al (2016) used RS geospatial techniques for monitoring LULC in Tirupati Area at South India. Liping et al (2018) used remote sensing and GIS techniques for predicting and evaluating and LULCC in a hilly area, Jiangle, China.…”

Section: Introductionmentioning

confidence: 99%

Environmental and spatial assessment of urban heat islands in Qalyubia Governorate, Egypt

et al. 2019

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T he present study is the first attempt to map Urban Heat Islands (UHIs) and assess the associated environmental characteristics in Qalyubia Governorate using remote sensing and GIS integrated with a field survey. A calibrated Landsat Operational Land Imager (OLI) acquired on July 22, 2018 was processed to calculate Land Surface Temperature (LST) and UHIs as well as to evaluate the environmental conditions through calculating the Land Use Land Cover (LULC) and the spectral retrieved indices. The investigated indices include Normalized Difference Built

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Section: Introductionmentioning

confidence: 99%

Environmental and spatial assessment of urban heat islands in Qalyubia Governorate, Egypt

et al. 2019

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“…Besides, publicly available remote sensing imagery have lower spatial and temporal resolution than aerial orthophotos (30 m/pixel compared with 0.25 m/pixel in some cases). For these reasons, this study developed on-screen digitization using visual image interpretation of different elements, i.e., colour, texture and plant association [41].…”

Section: Estuarine Mapping and Area Calculationmentioning

confidence: 99%

Estuarine Mapping and Eco-Geomorphological Characterization for Potential Application in Conservation and Management: Three Study Cases along the Iberian Coast

2020

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Geomorphological changes in recent decades in three estuaries along the Iberian coast were analysed using aerial orthophotographs. A hierarchical classification scheme, based on a literature review representing 26 estuarine eco-geomorphological features relevant to estuarine dynamics and functioning, is described. The estuaries selected were San Vicente de la Barquera (N Spain), Guadiana River (SW border between Spain and Portugal) and the Ebro River Delta mouth (NE Spain). For these systems, a 60-year time series of high-resolution maps was developed, analysing the changes in feature surfaces. The main subsystems analysed were beach, dunes, saltmarshes and the drainage network. The results of the cartographies showed general behaviour common to all transitional systems, relationships among main subsystems and processes inherent to each one. This work illustrates how beaches and dunes serve as a protective barrier for the tidal flats, acting as a sediment buffer for the entire system. The subsystems are connected by the drainage network responsible for the exchange of matter and energy between them. Furthermore, an accuracy assessment was performed in one of the study zones to identify the limitations of mapping with aerial photographs. The results explain the changes with time but also the processes and relationships between the estuarine features at a long-term scale. This work adds an important perspective towards a general understanding of their dependence on intrinsic and boundary conditions.

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“…The hybrid image classification approach effectively integrates supplementary information into the classification process. The classification scheme of land LU/LC is based on the classification scheme developed by NRSC/ISRO in 2015 (Arveti et al, 2016). As per this scheme, remote sensing image was classified into mainly two classes, i.e., slums and non-slums areas.…”

Section: Image Classificationmentioning

confidence: 99%

Identifying and Mapping of Slums in Pune City Using Geospatial Techniques

Mundhe

2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. In India, rapid growth of slums in urban areas, especially in metropolitan cities, has become a major problem for the planners and decision-makers. The slum expansion is mainly due to the rural-urban migration and pressure of the population on un-used, un-protected, and un-suitable public land. It leads to many issues like poverty, unemployment, lack of access to clean water, lack of durable housing, traffic congestion, environmental pollution, insufficient living area, inadequate sanitation, scarcity of land, inappropriate land use, skyrocketing land value and insecure tenure, etc. Planning controls are usually ineffective in slum areas due to lack of timely information and people having little regard for such things in the absence of any other alternative. In most of the municipal bodies, proper updated information/map of slums are not available, which, create a problem in the decision-making process. Thus, there is an imperative need to resolve above-mentioned issues with the help of Geospatial techniques. This paper aims to identify and mapping of slums in Pune City using Geospatial techniques. The slums were identified based on high-resolution satellite images such as Resourcesat-2 (LISS-IV) data with the help of visual interpretation and standard image processing techniques, i.e., image rectification, enhancement, and classification. Afterward, the database was created and labeled with the help of the GIS tool. In Pune, there is around 40 percent of the urban population resides in slums. Such a large proportion of slum population also adds to the burden of already scarce resources and on overall urban infrastructure. The entire slum population of the city was accommodated in a total of 477 slums of which 238 and 239 were declared and undeclared slums respectively. The most of the slums in Pune mainly occurred in the central part due to natural increases as well as migration. But, the peripheral areas it’s happen due to vacant land/open areas along to river, canal, railway line and hill slope. The study reveals that more than 200 slums are located near environmentally sensitive areas and encroachment activities are increased in southern part of the city i.e., Ambegaon Bk., Vithhal Nagar and Warje areas.

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Land Use/Land Cover Analysis Based on Various Comprehensive Geospatial Data Sets: A Case Study from Tirupati Area, South India

Cited by 43 publications

References 17 publications

Environmental and spatial assessment of urban heat islands in Qalyubia Governorate, Egypt

Environmental and spatial assessment of urban heat islands in Qalyubia Governorate, Egypt

Estuarine Mapping and Eco-Geomorphological Characterization for Potential Application in Conservation and Management: Three Study Cases along the Iberian Coast

Identifying and Mapping of Slums in Pune City Using Geospatial Techniques

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