2020
DOI: 10.1007/s10708-020-10302-4
|View full text |Cite
|
Sign up to set email alerts
|

Land use land cover mapping and monitoring urban growth using remote sensing and GIS techniques in Mangaluru, India

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
18
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 59 publications
(18 citation statements)
references
References 97 publications
0
18
0
Order By: Relevance
“…Another index is the Landscape Shannon Index (LSHD) used by Gao et al (2020) to indicate the level of landscape diversity. In turn, Shannon entropy can be used to investigate the concentration of anthropogenic land cover elements (Cegielska et al, 2019) or monitor urban growth and identify urban growth type (Dhanaraj & Angadi, 2020). Yet another index is Simpson's Diversity Index (SIDI) and its reverse, Simpson's dominance, which reflect biodiversity.…”
Section: Landscape Metrics and Hot Spot Analyses In Urban Green Space...mentioning
confidence: 99%
“…Another index is the Landscape Shannon Index (LSHD) used by Gao et al (2020) to indicate the level of landscape diversity. In turn, Shannon entropy can be used to investigate the concentration of anthropogenic land cover elements (Cegielska et al, 2019) or monitor urban growth and identify urban growth type (Dhanaraj & Angadi, 2020). Yet another index is Simpson's Diversity Index (SIDI) and its reverse, Simpson's dominance, which reflect biodiversity.…”
Section: Landscape Metrics and Hot Spot Analyses In Urban Green Space...mentioning
confidence: 99%
“…High spatial resolution satellite data are used to analyse both the rapidly growing urban fringes in developing countries and the less rapidly growing urban cores in older cities [88]. An interesting study in this regard was presented by Dhanaraj and Angadi [52], where-also with the help of satellite imagery and GIS-an increase in built-up area in Mangaluru (India) was detected due to intensive growth of built-up area in the urban core, which proved the compact nature of growth of this city.…”
Section: Spatial Expansion Of the Built-up Areas In Opole Between 2000-2020mentioning
confidence: 99%
“…Remote sensing data combined with geographic information systems (GIS) enable accurate detection of different categories of LULC, provide detailed and precise information on current and historical land cover, and enable analysis of the dynamics of these changes and reveal the spatial patterns of urban sprawl at different points in time [45][46][47][48]. Especially in countries where the computerisation of the spatial management is at an unsatisfactory level due to the lack of up-to-date and accurate national LULC data, modern and rapidly developing remote sensing and GIS technologies ensure that the infrastructure of digital spatial-temporal land cover data necessary for monitoring urban expansion is maintained [40,[49][50][51][52].…”
Section: Introductionmentioning
confidence: 99%
“…Geospatial technologies such as GIS and remote sensing techniques are popular approaches in determining urban growth or land-use changes [7][8][9]. Studies by [10][11][12][13] used multi-temporal Landsat images with integration the GIS, spatial metrics and indications to determine the land-use and land-cover changes where urban as well as forest lands have replaced agricultural lands substantially and also for future planning. Furthermore, [8,14] discriminated the built-up and vegetation area using Normalised Difference Vegetation Index (NDVI) and Normalized Difference Built-up Index (NDBI).…”
Section: Introductionmentioning
confidence: 99%