The Relative Merits Of Spot HRV And Landsat TM Images For Forest Cover Change Detection In Forillon National Park, Quebec, Canada

Godard, Muriel; Gray, J.; Poitevin, J.

doi:10.1109/tgrs.1990.573006

Cited by 9 publications

(5 citation statements)

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“…The greater spectral resolution provided by the additional infrared bands of Landsat TM likely explain its slightly higher overall accuracy and kappa value. Several studies comparing the classification accuracies of vegetation from TM and SPOT data have produced similar results (Buttner & Csillag 1988;Godard et al 1990;Gao 1999). These studies indicated that the additional spectral bands of the TM data were more important than the additional spatial resolution of SPOT.…”

Section: Resultsmentioning

confidence: 70%

“…This capability is not present in Quickbird as it does not capture in the mid-infrared range. Many researchers have commented on the advantage provided by the greater spectral resolution of Landsat TM in vegetation classification (Buttner & Csillag 1988;Godard et al 1990;Michele Basham May et al 1997;Gao 1999;Harvey & Hill 2001). When certain vegetation types occur in small patches, then the greater spatial resolution of Quickbird or SPOT may be better suited for vegetation classification (Michele Basham May et al 1997).…”

Section: Introductionmentioning

confidence: 99%

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Accuracy comparison of Quickbird, Landsat TM and SPOT 5 imagery forLantana camaramapping

Taylor

Kumar

Reid

2011

Journal of Spatial Science

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The distribution of an invasive species, Lantana camara L., was mapped using Landsat TM, SPOT 5 and Quickbird imagery with the maximum likelihood supervised classification method. The cost-effectiveness of the three different kinds of imagery was also evaluated. Landsat TM multi-spectral (MS) imagery provided an overall accuracy of 85.1 percent and a kappa coefficient of 0.78, while SPOT 5 imagery gave an overall accuracy of 84.9 percent and a kappa value of 0.77. Landsat TM was suitable for detecting dense infestations of lantana. Quickbird showed an overall accuracy of 84 percent and a kappa coefficient of 0.76. Spectral resolution and band position were more important than spatial resolution in classifying lantana accurately and the most cost-effective option was provided by Landsat TM with no significant difference in overall accuracies between the three types of imagery.

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Section: Resultsmentioning

confidence: 70%

Section: Introductionmentioning

confidence: 99%

Accuracy comparison of Quickbird, Landsat TM and SPOT 5 imagery forLantana camaramapping

Taylor

Kumar

Reid

2011

Journal of Spatial Science

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“…Damage could only be detected in homogeneous stands using the normalized difference vegetation index. Godard et al (1990) were able to map spruce budworm defoliation by Landsat TM data, but not by SPOT data in Canada. Joria et al (1991) compared SPOT and TM data in mapping three levels of gypsy moth defoliation in Michigan.…”

Section: Introductionmentioning

confidence: 92%

Use of satellite and field information in a forest damage survey of eastern Finnish Lapland in 1993

Mattila¹

1998

Silva Fenn.

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Mattila, E. 1998. Use of satellite and field information in a forest damage survey of Eastern Finnish Lapland in 1993. Silva Fennica 32(2): 141-162.The study area consists of the Finnish part of a Landsat 5 TM image from 1990. Three independent field samples were measured during 1991-93 in the study area. The first sample was used to compile training areas for supervised maximum likelihood classification of the image. Classification accuracy was studied in the second sample. The spectral separability of the forest strata usable in practical forestry was poor. The extent of the damage area was estimated by the principle of stratified sampling. The estimate included considerable bias because the field sample had not been objectively selected from the image classes. The third field sample was measured as part of the National Forest Inventory of Finland. It is wholly objective, and about ten times larger than the two earlier field samples. The poor spectral separability of the forest strata was confirmed by the NFI sample. However, this sample could be used in stratified sampling with little or no bias in the estimation of the damage area estimate. 14 different damage types were separated according to specific damaging agent. A thematic map was produced which presents the spatial distribution of two damage-rich image classes. The study area comprises 18 300 sq.km, of which 38 % were damaged. At first sight it would appear that the proportion of damaged forest has tripled in ten years. However, this is not the case because now special attention was paid to forest health in the field work. Despite this, it is possible that some damage caused by unfavourable climatic phenomena in the '80s was still perceptible in 1993. No damage caused directly by air pollution has yet been verified in the study area.

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“…This knowledge is presented in Table 3. For spectral band TM5, a specific use is tree defoliation [11,12] that can be caused, in the studied area, by spruce budworm. As our map didn't show any defoliated forest stands we have found the spectral values in another study [11] and we have calibrated the reflectance values to fit our conifers reflectance values.…”

Section: Statisticsmentioning

confidence: 99%

<title>Combination of fuzzy sets and Dempster-Shafer theories in forest map updating using multispectral data</title>

Leduc¹,

Solaiman

Cavayas

2001

SPIE Proceedings

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This paper explains a new approach to change detection and interpretation in a context of forest map updating. In this temporal change analysis we use a data set composed of map at time T 0 and a satellite image at time T 1 and we refer to this as a mixed fusion approach. The analysis of remotely sensed data always necessitates the use of approximate reasoning. For this purpose, we use fuzzy logic to evaluate the objects' membership values to the considered classes and the Dempster-Shafer theory to analyse the confusion between classes and to find the more evident class to which an object belong.

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The Relative Merits Of Spot HRV And Landsat TM Images For Forest Cover Change Detection In Forillon National Park, Quebec, Canada

Cited by 9 publications

References 1 publication

Accuracy comparison of Quickbird, Landsat TM and SPOT 5 imagery forLantana camaramapping

Accuracy comparison of Quickbird, Landsat TM and SPOT 5 imagery forLantana camaramapping

Use of satellite and field information in a forest damage survey of eastern Finnish Lapland in 1993

<title>Combination of fuzzy sets and Dempster-Shafer theories in forest map updating using multispectral data</title>

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