Remote sensing and GIS tools to support vegetation fire management in developing countries

2002 ◽  
Author(s):  
S.P. Flasse ◽  
P. Ceccato ◽  
I.D. Downey ◽  
M.A. Raimadoya ◽  
P. Navarro
Keyword(s):  
Remote Sensing ◽  
Developing Countries ◽  
Fire Management ◽  
Remote Sensing And Gis ◽  
Gis Tools

Measuring and Monitoring Urban Sprawl of Jaipur City using Remote Sensing and GIS

2015 ◽  
Vol 6 (2) ◽  
pp. 46-65
Author(s):  
Pushpendra Singh Sisodia ◽  
Vivekanand Tiwari ◽  
Anil Kumar Dahiya
Keyword(s):  
Remote Sensing ◽  
Image Processing ◽  
Sustainable Development ◽  
Developing Countries ◽  
Maximum Likelihood ◽  
Natural Resources ◽  
Urban Sprawl ◽  
Remote Sensing And Gis ◽  
Direct Impact ◽  
Maximum Likelihood Classification

The world's population increased drastically and forced people to migrate from rural area to major cities in search of basic amenities. The majority of the World's population are already living in the major cities and it is continuously increasing. The increase in population forced the major cities to expand. Expansion of cities acclaimed more unplanned settlement that leads unplanned growth. This is a global phenomenon that has a direct impact on natural resources. It is the biggest challenge for urban planners to achieve sustainable development. Developing countries like India, where the population is increasing at an alarming pace, require more attention towards this problem. In this study, an attempt has been made to measure and monitor urban sprawl in Jaipur (Capital, State of Rajasthan, India). Built-up area with corresponding population has been analysed over a period of 41 years (1972-2013). Remotely sensed images of 1972-2013 (MSS, TM and ETM+) have been classified using Supervised Maximum Likelihood Classification (MLC) for digital image processing. Shannon's entropy has been used to quantify the degree of urban sprawl, and eight landscape metrics have also been used to quantify urban sprawl and its pattern.

Measuring and Monitoring Urban Sprawl of Jaipur City Using Remote Sensing and GIS

2019 ◽  
pp. 694-713
Author(s):  
Pushpendra Singh Sisodia ◽  
Vivekanand Tiwari ◽  
Anil Kumar Dahiya
Keyword(s):  
Remote Sensing ◽  
Image Processing ◽  
Sustainable Development ◽  
Developing Countries ◽  
Maximum Likelihood ◽  
Natural Resources ◽  
Urban Sprawl ◽  
Remote Sensing And Gis ◽  
Direct Impact ◽  
Maximum Likelihood Classification

The world's population increased drastically and forced people to migrate from rural area to major cities in search of basic amenities. The majority of the World's population are already living in the major cities and it is continuously increasing. The increase in population forced the major cities to expand. Expansion of cities acclaimed more unplanned settlement that leads unplanned growth. This is a global phenomenon that has a direct impact on natural resources. It is the biggest challenge for urban planners to achieve sustainable development. Developing countries like India, where the population is increasing at an alarming pace, require more attention towards this problem. In this study, an attempt has been made to measure and monitor urban sprawl in Jaipur (Capital, State of Rajasthan, India). Built-up area with corresponding population has been analysed over a period of 41 years (1972-2013). Remotely sensed images of 1972-2013 (MSS, TM and ETM+) have been classified using Supervised Maximum Likelihood Classification (MLC) for digital image processing. Shannon's entropy has been used to quantify the degree of urban sprawl, and eight landscape metrics have also been used to quantify urban sprawl and its pattern.

scholarly journals Advances in remote sensing and GIS applications in support of forest fire management

2014 ◽  
Vol 23 (5) ◽  
pp. 603 ◽  
Author(s):  
Ioannis Z. Gitas ◽  
Jesús San-Miguel-Ayanz ◽  
Emilio Chuvieco ◽  
Andrea Camia
Keyword(s):  
Remote Sensing ◽  
Forest Fire ◽  
Fire Management ◽  
Remote Sensing And Gis ◽  
Gis Applications ◽  
Forest Fire Management

scholarly journals Flash Floods in the Guelmim Area/Southwest Morocco–Use of Remote Sensing and GIS-Tools for the Detection of Flooding-Prone Areas

Geosciences ◽  
2015 ◽  
Vol 5 (2) ◽  
pp. 203-221 ◽  
Author(s):  
Barbara Theilen-Willige ◽  
Abdessamad Charif ◽  
Abdelhadi Ouahidi ◽  
Mohamed Chaibi ◽  
Mohamed Ougougdal ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Flash Floods ◽  
Remote Sensing And Gis ◽  
Gis Tools

scholarly journals Analysis of Land Use and Land Cover Change in Gummidipoondi Using Remote Sensing and GIS Tools

2021 ◽  
Vol 9 (6) ◽  
pp. 675-682
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Remote Sensing And Gis ◽  
Rural Land ◽  
Anthropogenic Pressures ◽  
Rural Land Use ◽  
Gis Tools ◽  
Liss Iii ◽  
Surrounding Areas

The aim of the study was to evaluate the changes in land use and land cover (LULC) in Gummidipoondi and the surrounding areas in Thiruvallur district, Tamilnadu India.Spatio-temporal variation in the land use and land cover were analysed on a decadal basis for the period from 1990 to 2019 using remote sensing and GIS based tools. The Landsat 5 (TM) and Resource-Sat 2 (LISS-III) data was used for the LULC classificationin the study area. During the study period from 1990 to 2019, built-up area including industrial, urban and rural land use increased by about 147%. Predominant change was also noticed in the mudflat category where more than 95% of it was lost to various other land uses such as agriculture and marsh area. This observation calls for planning and conservation of sensitive ecosystems in the study area that may be lost due to anthropogenic pressures via pollution and undesirable conversion of LULC. The study revealed no significant changes in the extent of other LULC classes such as agriculture, forests, plantations, land with or without scrub, rivers and waterbodies in the study area

scholarly journals Assessment of Diara land under Bhagalpur district using remote sensing and GIS tools

2013 ◽  
Vol 5 (1) ◽  
pp. 213-216
Author(s):  
Vinay Kumar ◽  
R. Kumar ◽  
R. Kumar ◽  
B. K. Vimal ◽  
M. Kumar
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Satellite Image ◽  
Remote Sensing And Gis ◽  
Geographical Information ◽  
Visual Interpretation ◽  
Land Use Pattern ◽  
Digital Map ◽  
Reliable Technique ◽  
Gis Tools

The Diara land is found in between the natural levees of the river and formed due to its meandering and course changing behavior. The topography of Diara land is mostly undulating and intersected with numerous dead and disconnected channels, Remote sensing and Geographical Information System (GIS) is a reliable technique to prepare a comprehensive inventory of land use pattern of an area. The present study was carried out to prepare a complete digital map of diara land of Bhagalpur district using spatial software (TNT Mips). On the basis of visual interpretation of the satellite image and physiographic pattern of the land escape, polygons were digitized for area delineation and mapping for diara land. Out of sixteen blocks of Bhagalpur district, only six blocks were identified as an old Diara land (203.26 km2) and thirteen blocks were identified as a new diara land (869.78 km2). Occupied areas viz. Narayanpur, Bihpur, Kharik, Naugachhiya, Ismailpur, Rangra Chowk and Gopalpur blocks were identified under complete diara land. No any one Diara land characteristics ware marked in Shahkund, Goradih and Sanhaula blocks.

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