Forest statistics for Southeast Texas counties - 1986

McWilliams, William H.; Bertelson, Daniel F.

doi:10.2737/so-rb-114

Cited by 3 publications

(4 citation statements)

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“…Increased harvesting of pine resulted in significant declines for softwoods in the 6-inch through the 14-inch classes. Both survey regions had significant declines in this range Bertelson 1986a and1986b). The number of live hardwoods decreased in the 2- inch through the 14-inch classes.…”

Section: Number Of Treesmentioning

confidence: 96%

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Forest resources of east Texas

McWilliams¹,

Lord²

1988

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Section: Number Of Treesmentioning

confidence: 96%

“…All comparisons made with the prior survey results, in this report, use the recomputed statistics. The recomputed data was not available for survey unit reports that were published previously Bertelson 1986a and1986b).…”

Section: Thousand Tons -------------------mentioning

confidence: 99%

Forest resources of east Texas

McWilliams¹,

Lord²

1988

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“…Some Slash pine (P. elliottii L.) plantations are also present. Gould et al (1960), Murphy (1976) and McWilliams and Bertelson (1986) provide detailed descriptions of the region's vegetation and timber production activities. Based on the 1992 US Forest Service estimates, Angelina, Nacogdoches and San Augustine counties had higher proportion of forested areas than the rest of the counties selected for this study.…”

Section: Study Areamentioning

confidence: 99%

Comparative analyses of East Texas forest cover maps generated from Landsat and AVHRR data

Sivanpillai

Srinivasan

et al. 2008

GeoJournal

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Comparing satellite data derived map products are affected by differences in data characteristics, image acquisition dates, processing techniques, and classification schemes used for assigning pixels to a thematic class. By comparing two forest maps generated from Landsat Enhanced Thematic Mapper Plus (ETM+) and Advanced Very High Resolution Radiometer (AVHRR) images acquired on the same day, and processed using identical classification scheme and methods these differences were minimized. The ETM+ derived map had higher classification accuracy values and more precise area estimates than the AVHRR derived map. In the ETM+ derived map, 87 of the 599 verification data were misclassified, whereas in the AVHRR derived map, 155 of the 469 verification data were misclassified. Detailed error analyses by land cover class revealed that a land use based definition of forest accounted for 74% (64 out of 87) and 57% (89 out of 155) of the classification errors in ETM+ and AVHRR derived maps, respectively.

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“…In the second phase, detailed information about forests is collected by visiting a predefined number of photo-points on the ground. The estimates obtained in the first phase are refined based on the ground information and standard errors are computed (McWilliams and Bertelson, 1986;Kelly et al, 1992;Hansen and Wendt, 1999;Reams and van Deusen, 1999). This information is used for periodically publishing statistical estimates of forest cover at the county level (Wynne et al, 2000;McRoberts et al, 2002).…”

Section: Introductionmentioning

confidence: 99%