Land use land cover change in National Capital Region of India: A remote sensing &amp; GIS based two decadal spatial-temporal analyses

Suzanchi, Kianoush; Kaur, Ravinder

doi:10.1016/j.sbspro.2011.07.044

Cited by 22 publications

(8 citation statements)

References 2 publications

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“…The goal of the paper was to define the possibilities for detecting vegetation classes in an automatic way using ALS and the image data. The authors proved that it is possible by using GIS spatial analysis Figure 4 The result of the process of photointerpretation and on-screen vectorization made by the operator on airborne orthophotos and nDSM (from the left: RGB orthophoto, true orthophoto CIR and nDSM) Based on the results of presented work, it can be concluded, that the state-of-the-art remote sensing technologies can replace the operator manual works for determining the borders of the land cover (land use) classes (BORK and SU, 2007;FALKOWSKI et al, 2009;SINGH et al, 2012;SUZANCHI and KAUR, 2011). Pioneer work on automatic image classification was focused on the apparent spectral similarity of neighbouring pixels in optical remote sensed satellite data.…”

Section: Resultsmentioning

confidence: 87%

Aerial Orthophoto and Airborne Laser Scanning as Monitoring Tools for Land Cover Dynamics: A Case Study from the Milicz Forest District (Poland)

Szostak

Wężyk

Tompalski

2013

Pure Appl. Geophys.

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Abstract-The paper presents the results from the study concerning the application of airborne laser scanning (ALS) data and derived raster products like the digital surface model (DSM) and the digital terrain model (DTM) for the assessment of the degree of change of the land use based on the forest succession example. Simultaneously, an automated method of ALS data processing was developed based on the normalized (nDSM) and cadastral GIS information. Besides delivering precise information on forest succession, ALS technology is an excellent tool for time-changes spatial analyses. Usage of the ALS data can support the image interpretation process decreasing the subjectivity of the operator. In parallel, a manual vectorization and object classification (objectbased image analysis-OBIA) were performed; both based on aerial orthophoto and ALS data. By using integrated ALS point clouds and digital aerial images, one can obtain fast OBIA processing and the determination of areas where the land cover has changed. The Milicz District (central west part of Poland) was chosen as the test site where ALS was to be performed in 2007, together with the digital aerial photos (Vexcel camera; pixel 0.15 m; CIR). The aerial photos were then processed to a CIR orthophoto. The area of study consisted of 68 private parcels (some of them were abandoned; 68.57 ha; scanned cadastral maps from the local survey office; land use information) in the direct neighbourhood of the State Forest, on which a forest succession could often be observed. The operator vectorized forest (trees and shrubs) succession areas on the 2D CIR orthophoto. They were then compared with the results from the OBIA and GIS analysis, based on the normalized digital surface model. The results showed that areas with high vegetation cover were three times larger than the official land cover database (cadastral maps).Key words: CIR aerial orthophoto, airborne laser scanning (ALS), object based image analysis (OBIA), GIS analysis, digital surface model (DSM), digital terrain model (DTM), secondary forest succession.

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Section: Resultsmentioning

confidence: 87%

Aerial Orthophoto and Airborne Laser Scanning as Monitoring Tools for Land Cover Dynamics: A Case Study from the Milicz Forest District (Poland)

Szostak

Wężyk

Tompalski

2013

Pure Appl. Geophys.

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“…can now replace the manual work of an operator (photointerpretation) in determining the borders of the LULC classes and monitoring process of the secondary forest succession. The geodata and modern technologies provide accurate information on the spatial and temporal distribution of LULC classes and deliver indicators that show the dynamic process of the landscape changes (especially process of the secondary forest succession) including the spatial range and structure of vegetation (Bergen, Dronova 2007, Falkowski et al 2009, Mancino et al 2014, Suzanchi, Kaur 2011. The automation of the processing using GIS analysis and GEOBIA tools, allows for the obtainment of very accurate borders of the land cover classes compared to the traditionally applied photo-interpretation and on-screen vectorization methods, but in a faster, more cost-effective, objective and efficient way (Moskal, Jakubauskas 2013, Szostak et al 2014, Wężyk, de Kok 2005.…”

Section: Discussionmentioning

confidence: 99%

Monitoring the Secondary Forest Succession and Land Cover/Use Changes of the Błędów Desert (Poland) Using Geospatial Analyses

Szostak

Wężyk

Hawryło

et al. 2016

Quaestiones Geographicae

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szostAk M., wężyk P., HAwryło P., PucHAłA M., 2016. Monitoring the secondary forest succession and land cover/use changes of the Błędów Desert (Poland) using geospatial analyses. Quaestiones Geographicae 35(3), Bogucki Wydawnictwo Naukowe, Poznań, pp. 5-13, 5 figs, 1 table.ABstrAct: The role of image classification based on multi-source, multi-temporal and multi-resolution remote sensed data is on the rise in the environmental studies due to the availability of new satellite sensors, easier access to aerial orthoimages and the automation of image analysis algorithms. The remote sensing technology provides accurate information on the spatial and temporal distribution of land use and land cover (LULC) classes. The presented study focuses on LULC change dynamics (especially secondary forest succession) that occurred between 1974 and 2010 in the Błędów Desert (an area of approx. 1210 ha; a unique refuge habitat -NATURA 2000; South Poland). The methods included: photointerpretation and on-screen digitalization of KH-9 CORONA (1974), aerial orthoimages (2009) and satellite images (LANDSAT 7 ETM + , 1999 and BlackBridge -RapidEye, 2010) and GIS spatial analyses. The results of the study have confirmed the high dynamic of the overgrowth process of the Błędów Desert by secondary forest and shrub vegetation. The bare soils covered 19.3% of the desert area in 1974, the initial vegetation and bush correspondingly 23.1% and 30.5%. In the years 2009/2010 the mentioned classes contained: the bare soils approx. 1.1%, the initial vegetation -8.7% and bush -15.8%. The performed classifications and GIS analyses confirmed a continuous increase in the area covered by forests, from 11.6% (KH-9) up to 24.2%, about 25 years later (LANDSAT 7) and in the following 11 years, has shown an increase up to 35.7% (RapidEye 2010).

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“…Asmamaw et al (2011) likewise revealed as an expansion of forest land in northeastern Ethiopia. Sambou et al (2015) and Suzanchi and Kaur (2011) analyzes development plans effects on landrelated policies at local level to understand the ultimate need of land use/cover (LULC) changes and its driving forces. This information is important in determining the status of land and ecosystem health, and to promote decision focused on actions related to environmental recuperation.…”

Section: Introductionmentioning

confidence: 99%

Modeling land use dynamics in the Kesem sub-basin, Awash River basin, Ethiopia

Tessema

Kebede

Yadeta

2020

Cogent Environmental Science

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Nowadays, the land use and land cover change and its impacts are revealing on different natural resource and man-made systems. This study attempted to examine the land use and land cover (LULC) dynamics on this using multi-spectral satellite imageries in Geographical Information System (GIS) in the Kesem sub-basin of the Awash River Basin, Ethiopia. It also attempted to assess the community perceptions on this using field observation. Three LULC maps were produced by analyzing remotely sensed images of Landsat satellite imageries within three periods of time from 1986 to 2013. Supervised image classification was used to map LULC classes and explain the drivers, and causes were linked to the changes. The result from LULC maps of 2013 showed nine major land use and land cover types. From 1986 to 2000, there were, among others, a dramatic expansion of agricultural land, massive settlement, and widespread eucalyptus plantation, all of which contributed to a dramatic decrement of shrub land and acacia in the sub-basin. The major driving ABOUT THE AUTHORS

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Land use land cover change in National Capital Region of India: A remote sensing & GIS based two decadal spatial-temporal analyses

Cited by 22 publications

References 2 publications

Aerial Orthophoto and Airborne Laser Scanning as Monitoring Tools for Land Cover Dynamics: A Case Study from the Milicz Forest District (Poland)

Aerial Orthophoto and Airborne Laser Scanning as Monitoring Tools for Land Cover Dynamics: A Case Study from the Milicz Forest District (Poland)

Monitoring the Secondary Forest Succession and Land Cover/Use Changes of the Błędów Desert (Poland) Using Geospatial Analyses

Modeling land use dynamics in the Kesem sub-basin, Awash River basin, Ethiopia

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