Use of Remote Sensing Techniques for Robust Digital Change Detection of Land: A Review

Bhagat, Vijay

doi:10.2174/1877611611202020123

Cited by 27 publications

(12 citation statements)

References 83 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…), plants, animals, micro-organisms as well as manmade aspects like land use, settlements, industries, agriculture, etc. (FAO, 1976;Bhagat, 2012). Land elements determine its suitability for agriculture, plantation, settlements, industries, dams, watershed management, etc.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multi-criteria land suitability analysis for agriculture in hilly zone: Remote sensing and GIS approach

Zolekar

Bhagat

2015

Computers and Electronics in Agriculture

248

116

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

“…Degraded lands are threatening the food and energy securities, water availability and quality, biodiversity, human life, etc. (Bhagat, 2012). Approximately, 250 million people are directly affected by land degradation (UNCCD) and 1 billion people are at risk (WMO, 2005).…”

Section: Introductionmentioning

confidence: 99%

Multi-criteria land suitability analysis for agriculture in hilly zone: Remote sensing and GIS approach

Zolekar

Bhagat

2015

Computers and Electronics in Agriculture

248

116

View full text Add to dashboard Cite

“…Its suitability for agriculture, settlement and industry [1] depends on its elements. However, these elements have been depleted, especially in the last few centuries.…”

Section: Introductionmentioning

confidence: 99%

Land-Use Suitability in Northeast Iran: Application of AHP-GIS Hybrid Model

Memarbashi

Azadi

Barati

et al. 2017

IJGI

View full text Add to dashboard Cite

Land-use suitability is the ability of a given type of land to support a defined use. Analysis of land-use suitability requires the consideration of a variety of criteria, not only the natural/physical capacity of a land unit, but also its socioeconomic and environmental impact implications. As land suitability is assessed within a Geographic Information System (GIS) environment, it is formulated as a multi-criteria decision making (MCDM) problem. The study was conducted in the Sangab Plain in northeast Iran. We investigated the study area's suitability for grassland and agricultural uses. A hybrid method of the analytic hierarchy process (AHP) and GIS methodology was applied to evaluate land suitability based on a set of criteria and sub-criteria. Results showed that 20% of the study area had high (rich), 65% had medium (fair), and 15% had low (poor) suitability for agriculture. In terms of grassland use, the comparable amounts were, respectively, about 7%, 23%, and 70%. The lands of the Sangab Plain have medium potential for agricultural use and low potential for grassland use. This paper used both qualitative and quantitative techniques.

show abstract

Section: Introcuctionmentioning

confidence: 99%

“…RS has now become one of the major sources of data for mapping and monitoring LULC dynamics over time (Xian et al, 2009;Hansen and Loveland, 2012). A large number of change detection techniques and algorithms have been developed since last few years, but still change detection is an active and miscellaneous research topic (Singh, 1989;Lu et al 2004;Bhagat, 2012;Hussain et al, 2013) and a lot of new techniques are being developed forThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-8, 2014 ISPRS Technical Commission VIII Symposium, 09 -12 December 2014 This contribution has been peer-reviewed. doi:10.5194/isprsarchives-XL-8-773-2014 773 effective feature extraction purposes by incorporating various RS imagery and ancillary data (Ardila Lopez et al, 2012;Chen et al, 2013;Hussain et al, 2013;Kim et al, 2013;Jawak and Luis, 2011).…”

mentioning

confidence: 99%

Enhanced Urban Landcover Classification for Operational Change Detection Study Using Very High Resolution Remote Sensing Data

Jawak

Panditrao

Luis

2014

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

View full text Add to dashboard Cite

ABSTRACT:This study presents an operational case of advancements in urban land cover classification and change detection by using very high resolution spatial and multispectral information from 4-band QuickBird (QB) and 8-band WorldView-2 (WV-2) image sequence. Our study accentuates quantitative, pixel based, image difference approach for operational change detection using very high resolution pansharpened QB and WV-2 images captured over San Francisco city, California, USA (37° 44" 30N', 122° 31" 30' W and 37° 41" 30'N ,122° 20" 30' W). In addition to standard QB image, we compiled three multiband images from eight pansharpened WV-2 bands: (1) multiband image from four traditional spectral bands, i.e., Blue, Green, Red and near-infrared 1 (NIR1) (henceforth referred as "QB equivalent WV-2"), (2) multiband image from four new spectral bands, i.e., Coastal, Yellow, Red Edge and NIR2 (henceforth referred as "new band WV-2"), and (3) multiband image consisting of four traditional and four new bands (henceforth referred as "standard WV-2"). All the four multiband images were classified using support vector machine (SVM) classifier into four most abundant land cover classes, viz, hard surface, vegetation, water and shadow. The assessment of classification accuracy was performed using random selection of 356 test points. Land cover classifications on "standard QB" image (kappa coeffiecient, κ = 0.93), "QB equivalent WV-2" image (κ = 0.97), and "new band WV-2" image (κ = 0.97) yielded overall accuracies of 96.31%, 98.03% and 98.31%, respectively, while "standard WV-2" image (κ = 0.99) yielded an improved overall accuracy of 99.18%. It is concluded that the addition of four new spectral bands to the existing four traditional bands improved the discrimination of land cover targets, due to increase in the spectral characteristics of WV-2 satellite. Consequently, to test the validity of improvement in classification process for implementation in operational change detection application, comparative assessment of transition of various landcover classes in three WV-2 images with respect to "standard QB" image was carried out using image difference method. As far as waterbody class is concerned, there was no significant transition observed in all the three WorldView-2 Images, whereas, hard surface class showed lowest transition in "standard WV-2" image and highest in case of "new band WV-2". The most significant transition was occurred in vegetation class in all of the three images, showing positive change (increase) in standard WV-2 image (0.31 Sq. Km) and negative change (decrease) in other two images (-0.12 Sq. Km for "QB equivalent WV-2" image and -31.15 Sq. Km in "new band WV-2" image) with considerable amount. Similar case was observed with the shadow class, but the difference is, transition from shadow to other classes was negative in all the three WV-2 images which can be attributed to the fact that, "standard QB" image had more shadow area (based on acquisition time and sun position) than WV-2, that means all the ba...

show abstract

Use of Remote Sensing Techniques for Robust Digital Change Detection of Land: A Review

Cited by 27 publications

References 83 publications

Multi-criteria land suitability analysis for agriculture in hilly zone: Remote sensing and GIS approach

Multi-criteria land suitability analysis for agriculture in hilly zone: Remote sensing and GIS approach

Land-Use Suitability in Northeast Iran: Application of AHP-GIS Hybrid Model

Enhanced Urban Landcover Classification for Operational Change Detection Study Using Very High Resolution Remote Sensing Data

Contact Info

Product

Resources

About