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001-es BibID:	BIBFORM082565
035-os BibID:	(cikkazonosító)100237
Első szerző:	Shimrah, Tuisem
Cím:	Quantitative assessment of landscape transformation using earth observation datasets in Shirui Hill of Manipur, India / Tuisem Shimrah, Kiranmay Sarma, Orsolya Gyöngyi Varga, Szilard Szabo, Sudhir Kumar Singh
Dátum:	2019
ISSN:	2352-9385
Megjegyzések:	Shirui hill is situated at the north-eastern part of Manipur, India. This hill is not only the habitat of world famous endemic flower; Lilium mackliniae, but also home to many vulnerable and endangered floral and faunal species.. The aim of work was to assess the ecosystem diversity and landscape transformation Landsat satellite images of year 1988, 2001 and 2013 have been used to study the land use/land cover change and landscape fragmentation using FRAGSTATS. Several statistics such as principal component analysis (PCA) and spatial metrics are used to understand the results. The PCA was performed on the landscape metrics explained 93.0% of the total variance and justified three PCs; of these, both RMSR and AGFI fit very well (0.02 and 0.99, respectively), while PC1 accounted for 42% of the variance and was correlated with CA, TCA, NDCA and AREA_CV, PC2 explained 34% and was correlated with TE, SHAPE_MN, and PC3 explained 19% and was correlated with NP. The phyto-sociological study was carried out to assess the vegetation status. Participatory Rural Appraisal (PRA) method was adopted for socio-economic data collection. The finding of work suggests a rising pressure of human activities on the land and sizable portion of it have been converted into either shifting agriculture or wet paddy land.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk ecosystem diversity fragmentation Northeast India
Megjelenés:	Remote Sensing Applications. - 15 (2019), p. 1-9. -
További szerzők:	Sarma, Kiranmay Varga Orsolya Gyöngyi (1988-) (geográfus) Szabó Szilárd (1974-) (geográfus) Singh, Sudhir Kumar (1970-) (geográfus)
Pályázati támogatás:	20428-3/2018/FEKUTSTRAT FIKP
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM082563
Első szerző:	Varga Orsolya Gyöngyi (geográfus)
Cím:	Intensity Analysis and the Figure of Merit's components for assessment of a Cellular Automata-Markov simulation model / Orsolya Gyöngyi Varga, Robert Gilmore Pontius, Sudhir Kumar Singh, Szilárd Szabó
Dátum:	2019
ISSN:	1470-160X
Megjegyzések:	Some popular metrics to evaluate land change simulation models are misleading. Therefore, land change scientists have called for the development of methods to evaluate various aspects of modelling applications. This article answers the call by giving novel methods to compare three types of land change: 1) reference change during the calibration time interval, 2) simulation change during the validation time interval, and 3) reference change during the validation time interval. We compare these changes by using Intensity Analysis' three levels and the Figure of Merit's four components: Misses, Hits, Wrong Hits and False Alarms. We illustrate the concepts by applying a Cellular Automata - Markov land change model to a case study in northeast Hungary. We used reference maps of five land categories to calibrate the model during 2000-2006, then to validate the simulation during 2006-2012. Intensity Analysis' time interval level shows that the simulation change and the reference change decelerated from 2000-2006 to 2006-2012. Intensity Analysis' category level shows that the simulation losses were less than what a pure Markov chain would have dictated. Intensity Analysis' transition level shows that the model's Markov algorithm simulated correctly that the gain of Forest targeted Agriculture and Wetland. The Figure of Merit's components reveals more allocation error than quantity error. Our collection of metrics show that more error derived from the Cellular Automata algorithm than from the Markov algorithm. We recommend that scientists use Intensity Analysis and the Figure of Merit's components to reveal various fundamental aspects of modelling applications.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk cellular automata CA-Markov Figure of Merit Intensity analysis land change validation
Megjelenés:	Ecological Indicators. - 101 (2019), p. 933-942. -
További szerzők:	Pontius, Robert Gilmore Singh, Sudhir Kumar (1970-) (geográfus) Szabó Szilárd (1974-) (geográfus)
Pályázati támogatás:	EFOP-3.6.1-16-2016-00022 EFOP TNN 123457 Egyéb
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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