Identification of Winter Wheat Using Landsat Mss Data

Reichert, G.; Crown, P.H.

doi:10.1080/07038992.1984.10855062

Cited by 9 publications

(3 citation statements)

References 2 publications

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“…30.1 kvadratkilometer i sørvest-delen av scenen ble brukt som basis for sammenligningen. En «non-site-specific» metode ble brukt (Reichert & Crown 1984), der man kun sammenlignet vegetasj ons-/beitetypenes arealandeler på det tolkede flybildet med de arealandeler som de sammen typer hadde på det klassifiserte bildet, uavhengig av lokalisering (tab. 4 og fig.…”

Section: Metode For Analyse Av Klassifikasjonsresultatetunclassified

Mapping of reindeer ranges in the Kautokeino area, Northern Norway, by use of Landsat 5/TM data

Tømmervik¹,

Lauknes

1987

Ran

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The aim of this study was to test the utility of Landsat 5/TM data to detect and map reindeer ranges (winter ranges). The area which has been investigated is the Ávzze area in Kautokeino, Northern Norway, on the means of Landsat 5 TM-data. A «hybrid» non-supervised/supervised classification routine was elaborated and applied in this project. The initial stage was an analysis of several bandcombinations, and the 5/4/3 combination gave the preferable combination as input to the cluster algorithm (unsupervised classification). The image was divided in 4 sections of size 512 samples and 512 lines. One of this sections (the section which cover the ground truth map) was selected for the non-supervised classification. In the beginning 17 classes were merged, and a median filter was applied for the resultant image, which comprises 12 classes. The statistics from the final result from the non-supervised classification were then used together with the TM bandcombination 5/4/3 for the whole image, as input to the minimum distance classification algorithm. This algorithm was applied to every section in turn. A mosaic of the 4 sections was then made and a median filter was then registred to a digitalized map (UTM-pro-jection). The final result was a colored thematic map over the whole area. The classification of the scene was successful with an overall classification of 90-1 (X)% for lichen-heaths (9dx/9c/9a/9av Dry shrub, fresh shrub) and birch-forests (6d/6dv/6dx shrubtype with lichen). The condition of the lichen-heaths could be detected on a sufficient level on the basis of the satellite data, but further analysis will be done here. The accuracy of the digital classification was assessed on a quantitative basis. Visual classification and interpretation of the satellite imagery showed that areas of conflict (roads, agriculture) could be detected. In chapter 6. «Resultater og diskusjon» some other results from other studies/investigations carried out in Scandinavia concerning remote sensing in mapping of vegetation are refered and discussed. Based on this study, we will conclude that use of satellite data is capable to serve as first stage classification in a multistage land use and reindeer range inventory and monitoring system.

Kartlegging av reinbeiter ved hjelp av Landsat 5/TM data i Kautokeino, Nord-Norge.

Abstract in Norwegian / Sammendrag: Målet med foreliggende undersøkelse var å undersøke muligheten av bruk av satellittdata i kartlegging av vinterbeiter for rein i Ávzze-området i Kautokeino på bakgrunn av Landsat 5 TM -data. En «hybrid» klassifikasjonsrutine ble fulgt i prosjektet. Først ble en ikke styrt klassifikasjonsrutine («duster algoritme») på en 1/4 del av bildet/scenen hvor man hadde markdata (flybildetolkning av vegetasjon) utført. Ved analyse av ulike kanalkombinasjoner kom man fram til at kanalkombinasjonen TM 5/4/3 hadde størst overenstemmelse med markdata....

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Section: Metode For Analyse Av Klassifikasjonsresultatetunclassified

Mapping of reindeer ranges in the Kautokeino area, Northern Norway, by use of Landsat 5/TM data

Tømmervik¹,

Lauknes

1987

Ran

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Kartlegging av reinbeiter ved hjelp av Landsat 5/TM data i Kautokeino, Nord-Norge.

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“…In 1977, the DSS began offering a course in remote sensing and land classification. Over the next decade research included application of digital satellite and airborne data to soil and crop inventory (Reichert and Crown 1984;Izzaurralde 1989) and monitoring forest land resources (Hall et al 1984;Palylyk and Crown 1984). Later work continued on the monitoring of vegetation health (Hall et al 1995;Wowk 2000) and the effect of human activities on the landscape (El-Sawaf 1997).…”

Section: Remote Sensingmentioning

confidence: 99%

Soil science at the University of Alberta: a century of service to science and society

et al. 2020

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This paper highlights major activities and achievements in soil science by professors at the University of Alberta (U of A), which provide incredible benefits to society, provincially, nationally, and globally. Evolution of the soils profession in Alberta commenced in 1919 with the hiring of FA Wyatt who developed the Department of Soil Science (DSS) and initiated a soil survey program in Alberta. JD Newton joined the department in 1922, teaching and supporting soil surveys that led to a fertilizer program greatly benefitting agriculture. With time, opportunities and problems were encountered with utilization of soils. U of A soil scientists conducted inventories, conducted innovative research, developed superior management techniques, and through evolving education and extension, continuously helped bring improvements to how we utilized and managed soil resources. The DSS 100 year evolution is chronicled under the themes of pedology (including soil survey), soil fertility, soil sustainability (conservation, land reclamation, contaminant remediation) with embedded specialized studies within these themes.

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“…The assessment of the accuracy of the casi vegetation cover map was done by the site-specific method (van Genderen et al, 1978;Reichert and Crown, 1984). This assessment was performed by in-situ controls of two transects within the test area, with a total length of 1690 meters.…”

Section: Accuracy Assessmentsmentioning

confidence: 99%

Use of AirborneCasiSpatial Mode Data for Mapping of Sub-Arctic Mountain Heaths in Pasvik, Northern Norway

Tømmervik

Johansen

Lauknes

1997

Canadian Journal of Remote Sensing

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RESUMECette etude presente les resultats d'un travail realise sur des donnees casi en mode spatial de la region de Pasvik; pres de la frontiere russe, au nord-est de la Norvege. Les donnees casi ont ete acquises au cours de l'et« 1991. L 'objectif general de ce travail consistait a evaluer l'applicabilite de l'utilisation des donnees casi en mode spatial pour la cartographie de la vegetation arbustive de montagne dans la region.Des classifications hybrides non dirtgee/dirigee et des comparaisons des donnees casi avec des donnees Landsat TM de la meme region traitees et classifiees anterieurement montrent que les donnees casi permettent de discriminer l'ensemble de la vegetation et du couvert en plus de classes que les donnees Landsat TM Les zones de vegetation eparse (aussi bien dans le cas des lichens que des plantes vasculaires) ont ete cartographiees de facon plus detaillee avec le capteur casi qu'avec Ie capteur Landsat TM, demontrant que Ie mode spatial de casi est bien adapte pour la cartographie des zones avegetation eparse et de lichens. Ceci est dl1 au fait que la haute resolution spatiale des donnees casi permet de mieux cartographier l'heterogeneite naturelle que les donnees Landsat TM L'estimation de laprecision des donnees casi a ete accomplie par des controles in situ effectues sur deux transects a l'interieur de la zone d'etude. La precision globale de la carte du couvert de vegetation derivee des donnees casi a ete estimee a87.6!J/a±5%, avec un niveau de confiance de 95%, alors que la precision de la carte derivee des donnees Landsat TM a ete estimee a80.6% ± 5.6%, avec un niveau de confiance de 95%. SUMMARYThisstudypresents work undertakenon casi spatial mode data from the Pasvik area close to the Russian border in northeastern Norway. The casi data were acquired during the Summer of1991. The overall objective ofthis work has been to assess the applicability ofusing casi spatial mode data for mapping the mountain heath vegetation within the area.Hybrid unsupervised/supervised classifications and comparisons of casi data with previously processed and classified Landsat TM data from the same area show that the casi data separate the complete vegetation and land cover into more classes than Landsat TM data. Sparsely vegetated areas (both with lichens and vascular plants) were mapped in more detail with the casi sensor than with the Landsat TM sensor, indicating that the casi spatial mode is well suited for mapping sparsely vegetated and lichen covered vegetation. This is due to the fact that the high spatial resolution of the casi data map the natural heterogeneity better than Landsat TM The accuracy assessment of the casi data was performed by in-situ controls of two transects within the test area. The overall accuracy of the casi based vegetation cover map was estimated to be 87.6%±5% at a confidence level of 95%, while the overall accuracy ofthe Landsat TM based map was estimated to be 80.6% ± 5.6% at a confidence levelof95%.

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Identification of Winter Wheat Using Landsat Mss Data

Cited by 9 publications

References 2 publications

Mapping of reindeer ranges in the Kautokeino area, Northern Norway, by use of Landsat 5/TM data

Mapping of reindeer ranges in the Kautokeino area, Northern Norway, by use of Landsat 5/TM data

Soil science at the University of Alberta: a century of service to science and society

Use of AirborneCasiSpatial Mode Data for Mapping of Sub-Arctic Mountain Heaths in Pasvik, Northern Norway

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