Estimation of Air Pollution Using Multi-Temporal Remote Sensing Technique for Dehradun District, Uttarakhand

Geographical information system (GIS) techniques and Remote Sensing (RS) data are fundamental in the study of land use (LU) and land cover (LC) changes and classification. The aim of this study is to map and classify the LU and LC change of Lake Kenyir Basin within 40 years’ period (1976 to 2016). Multi-temporal Landsat images used are MSS 1976, 1989, ETM+ 2001 and OLI 8 2016. Supervised Classification on Maximum Likelihood Algorithm method was used in ArcGIS 10.3. The result shows three classes of LU and LC via vegetation, water body and built up area. Vegetation, which is the dominant LC found to be 100%, 88.83%, 86.15%, 81.91% in 1976, 1989, 2001 and 2016 respectively. While water body accounts for 0%, 11.17%, 12.36% and 13.62% in the years 1976, 1989, 2001 and 2016 respectively and built-up area 1.49% and 4.47 in 2001 and 2016 respectively. The predominant LC changes in the study are the water body and vegetation, the earlier increasing rapidly at the expense of the later. Therefore, proper monitoring, policies that integrate conservation of the environment are strongly recommended.

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Estimation of air pollution using remote sensing technique in coimbatore-a case study

2015 International Conference on Communications and Signal Processing (ICCSP) ◽

10.1109/iccsp.2015.7322601 ◽

2015 ◽

Cited By ~ 1

Author(s):

P Geetha ◽

M Kokila

Keyword(s):

Remote Sensing ◽

Air Pollution ◽

Remote Sensing Technique

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Delhi Air Pollution Modeling Using Remote Sensing Technique

Handbook of Environmental Materials Management ◽

10.1007/978-3-319-58538-3_174-1 ◽

2019 ◽

pp. 1-27 ◽

Cited By ~ 2

Author(s):

Shivangi Saxena Somvanshi ◽

Aditi Vashisht ◽

Umesh Chandra ◽

Geetanjali Kaushik

Keyword(s):

Remote Sensing ◽

Air Pollution ◽

Air Pollution Modeling ◽

Remote Sensing Technique ◽

Pollution Modeling

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Land Classification for Optimal Use of Land by Remote Sensing and GIS Technology

Journal of Environmental Science and Natural Resources ◽

10.3329/jesnr.v5i1.11587 ◽

2012 ◽

Vol 5 (1) ◽

pp. 229-237

Author(s):

MF Haque ◽

MS Ali ◽

MA Haq ◽

MMR Akhand

Keyword(s):

Remote Sensing ◽

Aerial Photographs ◽

Land Area ◽

Gis Technology ◽

Land Type ◽

Remote Sensing Technique ◽

Growing Seasons ◽

Multi Temporal ◽

Crop Types ◽

Rabi Crops

In this paper, attempt has been made to prepare landuse map for the district of Brahmanbaria, situated in the east-central part of Bangladesh using remote sensing technique. The multi-spectral Landsat TM data for 3 November 2002, 15 December 2004, 01 February 2002, 14 March 2003 and some aerial photographs of December 2000 have been used for land-use mapping for major three crops namely aman rice (late July - early November), winter (rabi) crops and winter (boro) rice. The imagery covers the growing seasons of the above crops, where multi-spectral and multi-temporal signatures for the green vegetations have been shown in spatial domain. The interpretation of the aerial photographs have also been performed and prepared GIS layers containing the water bodies and settlements. All the signature files including the interpretations of aerial photographs have been combined to produce a composite file in GIS layers. These layers were then combined to prepare the landuse maps including the three major crops cultivated round the year. Moreover, the landuse map of Akhaura upazila was compared with the land-type map and a relation of the landuse with the land-type has also been derived. The extracted feature files corresponding to spectral signatures have been overlaid to estimate the distribution of three major crop types in the study area. The result implies that all the three major crops like, aman, rabi and boro were cultivated in the same land which was 9.2% of total land area. Similarly, areas under double and single crops were also estimated and the result revealed that all the three crop types cover 68.3% of the total land area of Brahmanbaria district. DOI: http://dx.doi.org/10.3329/jesnr.v5i1.11587 J. Environ. Sci. & Natural Resources, 5(1): 229-237, 2012

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INVENTORY AND ASSESSMENT OF CORIANDER CROP IN THE STATE OF RAJASTHAN USING MULTITEMPORAL REMOTE SENSING DATA

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-3-w6-315-2019 ◽

2019 ◽

Vol XLII-3/W6 ◽

pp. 315-320

Author(s):

S. Roy ◽

N. Singh ◽

P. Kumar ◽

M. M. Kimothi ◽

S. Mamatha

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

State Level ◽

Optical Data ◽

Mature Stage ◽

Tonal Pattern ◽

Remote Sensing Technique ◽

Multi Temporal ◽

Multitemporal Remote Sensing ◽

Sentinel 2A

<p><strong>Abstract.</strong> The present study aims to develop the methodology for inventory and assessment of coriander crop in Rajasthan using remote sensing technique. Sentinel-2A optical data having a spatial resolution of 10&thinsp;m, from January&ndash;March, 2017 were considered for this study keeping in mind the crop calendar. It was found that coriander at its flowering stage gives a distinct light pink colour which helps it to differentiate from other crops. However it is difficult to separate other stages of coriander (early vegetative, mature stage) owing to its similarity in tonal pattern with mustard. The overall accuracy of single date image was found to be 63.29% and Kappa (K^) Coefficient as 0.5532. With the inclusion of multiple dates accuracy increased to 91.14% and Kappa (K^) Coefficient to 0.7436. This was because increase in information increases the possibility to separate crops from each other. This study demonstrates the feasibility of multi-temporal satellite data for accurate coriander crop mapping area estimation in multi-crop scenario with reasonable accuracy at the Block/district level and State level.</p>

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