?rea de concentra??o: Silvicultura e Manejo Florestal. / Submitted by Jos? Henrique Henrique (jose.neves@ufvjm.edu.br) on 2016-12-15T17:35:57Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) kaio_cesar_mendes_da_silva_nery.pdf: 1845996 bytes, checksum: 5d05a5ba4a2dd512a413bc72377348a4 (MD5) / Approved for entry into archive by Rodrigo Martins Cruz (rodrigo.cruz@ufvjm.edu.br) on 2016-12-16T15:43:43Z (GMT) No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) kaio_cesar_mendes_da_silva_nery.pdf: 1845996 bytes, checksum: 5d05a5ba4a2dd512a413bc72377348a4 (MD5) / Made available in DSpace on 2016-12-16T15:43:43Z (GMT). No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) kaio_cesar_mendes_da_silva_nery.pdf: 1845996 bytes, checksum: 5d05a5ba4a2dd512a413bc72377348a4 (MD5) Previous issue date: 2016 / O objetivo deste estudo foi avaliar o efeito da redu??o de parcelas permanentes no custo da realiza??o do invent?rio florestal cont?nuo e realizar a prognose do volume de floresta comparando o emprego das Redes Neurais Artificiais ao modelo tradicionalmente utilizado proposto por Clutter (1963). Os dados utilizados foram provenientes de povoamentos localizados no litoral norte da Bahia, totalizando cerca de 3.000 hectares de floresta. Foram propostas duas metodologias para auxiliar na redu??o das parcelas. Para a metodologia proposta no estudo 1, os dados foram divididos aleatoriamente em dois grupos: treinamento (10, 20, 30, 40, 50, 60, 70, 80, e 90%) e generaliza??o (90, 80, 70, 60, 50, 40, 30, 20, 10%). Os dados do treinamento foram utilizados para gerar as redes neurais artificias enquanto que os dados da generaliza??o serviram para validar a capacidade das redes em gerar resultados precisos para dados desconhecidos. A metodologia proposta no estudo 2 dividiu aleatoriamente os dados em dois grupos: treinamento a escolha fixa de quantidades de parcelas pr?-estabelecidas nas tr?s classes de s?tio (10, 20, 30, 40, 50 e 60) totalizando 30, 60, 90, 120, 150 e 180 parcelas utilizadas para o treino das redes neurais e os demais dados foram utilizados para validar a capacidade das redes. A estimativa da vari?vel de estudo foi gerada no sistema computacional Neuroforest 3.3. A aplica??o das Redes Neurais Artificiais apresentaram resultados satisfat?rios bem como a aplica??o de ambas metodologias permitiram reduzir consideravelmente o custo para a realiza??o do invent?rio florestal. / Disserta??o (Mestrado) ? Programa de P?s-Gradua??o em Ci?ncia Florestal, Universidade Federal dos Vales do Jequitinhonha e Mucuri, 2016. / This study aimed to evaluate the effects of permanent plots in the cost of carrying out the continuous forest inventory and to perform prognosis of forest production comparing the use of Artificial Neural Networks to the traditional model proposed by Clutter (1963). Data were obtained from municipalities located in the northern region of Bahia state yielding 3,000 hectares of forest. Two different methodologies were proposed to reduce the number of parcels. The methodology proposed for the study 1 involved the random division of the data into two groups consisting of random reducing portions of 10, 20, 30, 40, 50, 60, 70, 80, and 90% with these percentages used for training and the remaining 90, 80, 70, 60, 50, 40, 30, 20, 10% used for validation. The methodology proposed for study 2 consisted of random reduction in parcels with a fixed parcel per site 10, 20, 30, 40, 50 and 60 in each class (30, 60, 90, 120, 150 and 180 parcels). The estimates of the study variables were generated in the computer system Neuroforest 3.3. The applications of Artificial Neural Networks showed satisfactory results and the application of both methodologies have considerably reduced the cost for conducting the forest inventory.

Made available in DSpace on 2014-06-11T19:31:38Z (GMT). No. of bitstreams: 0 Previous issue date: 2007-11-23Bitstream added on 2014-06-13T20:02:32Z : No. of bitstreams: 1 neves_da_dr_botfca.pdf: 3746618 bytes, checksum: 8794b9913f06eb5bca7f226807f6c97a (MD5) / O Brasil é o país mais rico em termos de diversidade biológica tanto de fauna como de flora, sendo a floresta Atlântica e complexo Cerrado-Pantanal dois dos maiores hotspots do mundo. Nas últimas décadas, as conseqüências da ação antrópica no meio florestal nativo faz-se sentir cada vez mais, levando à fragmentação, à formação de florestas secundárias e comprometendo a diversidade biológica, qualidade do ar, da água e do solo. A necessidade de se desenvolver metodologias que permitissem uma análise do mosaico florestal de forma mais rápida e eficaz levou à utilização de mapeamentos aéreos, sendo a fotografia aérea a ferramenta utilizada de menor custo. A união dos processos de mapeamento aéreo e inventário florestal permitirão uma análise crítica, precisa e detalhada com conclusão ágil sobre uma floresta que se deseja estudar. Seria possível então saber se a área estudada se trata de um cerrado no seu sentido amplo? Esta pesquisa tem como objetivos avaliar a evolução temporal determinando indicadores da situação de dois fragmentos florestais nativos situados dentro de plantações florestais, utilizando fotografias aéreas; avaliar a ocorrência de espécies nativas lenhosas e não lenhosas utilizando levantamento florístico e fitossociológicos e, avaliar o aspecto geral da regeneração natural destes fragmentos. As duas áreas de estudo reunidas possuem aproximadamente 110 ha, parte de uma fazenda de produção de madeira localizada no município de Agudos, SP. Para elaborar a evolução temporal foram utilizadas fotografias aéreas dos anos de 1962, 1972, 1979, 2000 e 2006. E, para se conhecer a estrutura da floresta realizou-se um inventário florístico e fitossociológico. Foram demarcadas classes fitofisionômicas nos fragmentos através de uma análise aerofotogramétrica. Para a análise da estrutura... / Brazil is the richest country in terms of biological diversity in fauna and flora, and the Atlantic forest and Cerrado-Pantanal complex are two of the greatest hotspots of the world. In the last decades, the consequences of the anthropic action in the native forest have became stronger, leading to forest fragmentation, formation of secondary forests, and compromising the biological diversity as well as quality of air, water and soil. The necessity to develop methodologies that allow the analysis of the forest mosaic in a faster and more efficient way resulted in the use of aerial mappings, in which air photograph is the lowest cost used tool. The combination of the aerial mapping and forest inventory as processes will allow a critical, detailed and proper analysis, with agile conclusion of study object, i.e., the forest. It would be possible then whether the area studied is a Savannah? This research has as objectives: to evaluate the forest through time evolution, determining environmental indicators of the situation in two native forest fragments, located in forest plantations, using air photographs; and to evaluate the occurrence of wood and not wood native species using floristic and phytosociological survey and evaluating the general aspect of the natural regeneration of these fragments. The two study areas together are approximately 110 ha, part of a private forest located in the city of Agudos, SP. Air photographs of the years of 1962, 1972, 1979, 2000 and 2006 were used to prepare the time evolution. A floristic and phytosociological inventory was made to know the forest structure. Phytophysiognomic class Summary 4 was delimited in each fragment through an aerophotogrammetry analysis. For the analysis of the plants communities higher than 1.30 m, the following were calculated: structure, density, dominance and frequency (absolute and relative);...(Complete abstract, click electronic access below)

Resumo: O Brasil é o país mais rico em termos de diversidade biológica tanto de fauna como de flora, sendo a floresta Atlântica e complexo Cerrado-Pantanal dois dos maiores hotspots do mundo. Nas últimas décadas, as conseqüências da ação antrópica no meio florestal nativo faz-se sentir cada vez mais, levando à fragmentação, à formação de florestas secundárias e comprometendo a diversidade biológica, qualidade do ar, da água e do solo. A necessidade de se desenvolver metodologias que permitissem uma análise do mosaico florestal de forma mais rápida e eficaz levou à utilização de mapeamentos aéreos, sendo a fotografia aérea a ferramenta utilizada de menor custo. A união dos processos de mapeamento aéreo e inventário florestal permitirão uma análise crítica, precisa e detalhada com conclusão ágil sobre uma floresta que se deseja estudar. Seria possível então saber se a área estudada se trata de um cerrado no seu sentido amplo? Esta pesquisa tem como objetivos avaliar a evolução temporal determinando indicadores da situação de dois fragmentos florestais nativos situados dentro de plantações florestais, utilizando fotografias aéreas; avaliar a ocorrência de espécies nativas lenhosas e não lenhosas utilizando levantamento florístico e fitossociológicos e, avaliar o aspecto geral da regeneração natural destes fragmentos. As duas áreas de estudo reunidas possuem aproximadamente 110 ha, parte de uma fazenda de produção de madeira localizada no município de Agudos, SP. Para elaborar a evolução temporal foram utilizadas fotografias aéreas dos anos de 1962, 1972, 1979, 2000 e 2006. E, para se conhecer a estrutura da floresta realizou-se um inventário florístico e fitossociológico. Foram demarcadas classes fitofisionômicas nos fragmentos através de uma análise aerofotogramétrica. Para a análise da estrutura...(resumo completo, clicar acesso eletrônico abaixo) / Abstract: Brazil is the richest country in terms of biological diversity in fauna and flora, and the Atlantic forest and Cerrado-Pantanal complex are two of the greatest hotspots of the world. In the last decades, the consequences of the anthropic action in the native forest have became stronger, leading to forest fragmentation, formation of secondary forests, and compromising the biological diversity as well as quality of air, water and soil. The necessity to develop methodologies that allow the analysis of the forest mosaic in a faster and more efficient way resulted in the use of aerial mappings, in which air photograph is the lowest cost used tool. The combination of the aerial mapping and forest inventory as processes will allow a critical, detailed and proper analysis, with agile conclusion of study object, i.e., the forest. It would be possible then whether the area studied is a Savannah? This research has as objectives: to evaluate the forest through time evolution, determining environmental indicators of the situation in two native forest fragments, located in forest plantations, using air photographs; and to evaluate the occurrence of wood and not wood native species using floristic and phytosociological survey and evaluating the general aspect of the natural regeneration of these fragments. The two study areas together are approximately 110 ha, part of a private forest located in the city of Agudos, SP. Air photographs of the years of 1962, 1972, 1979, 2000 and 2006 were used to prepare the time evolution. A floristic and phytosociological inventory was made to know the forest structure. Phytophysiognomic class Summary 4 was delimited in each fragment through an aerophotogrammetry analysis. For the analysis of the plants communities higher than 1.30 m, the following were calculated: structure, density, dominance and frequency (absolute and relative);...(Complete abstract, click electronic access below) / Orientador: Zacarias Xavier de Barros / Coorientador: Vera Lex Engel / Banca: Zacarias Xavier de Barros / Banca: Luiz Alberto Blanco Jorge / Banca: Leila Cunha de Moura / Banca: Osmar Cavassan / Banca: José Eduardo Petrilli Mendes / Doutor

Made available in DSpace on 2016-12-23T14:37:32Z (GMT). No. of bitstreams: 1 Carlos Alberto Dissertacao.pdf: 943516 bytes, checksum: b769efd686706140fd403b43a0d46781 (MD5) Previous issue date: 2007-03-15 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / This work was carried out with the objectives of verifying the accuracy of models segmented and no segmented to esteem commercial height, commercial volume and volumes along the bole of Eucalyptus sp. The base of data used was composed by 41 trees rigorously cubed of a stand with area of 4,31 of a homogeneous planting with 16 year-old age, originated from seed propagation. The initial spacing used in the planting was of 3 x 3 m, being made two selection thinning to the 8,6 years of age. Six models no segmented and three models segmented were adjusted for the total data set. The models no segmented tested were the one of Demaerschalk (1972), Ormerod (1973), Schoepfer (1966), Hradetzky (1976), Garay (1979) and Biging (1984). The models segmented tested were the one of Max & Bukhart (1976), Demaerschalk & Kozak (1977) and Parresol et al. (1987). The accuracy of the models was evaluated through the graphical analysis of the residues, the determination coefficient, the standard error estimate, the bias (B), the average of the differences (MD) and standard deviation of the differences (DPD). Based on statistics a "ranking" was elaborated to detect the model that propitiated perfected estimates of the analyzed variables. Among the models no segmented in the estimate of the commercial height, the models of Biging and Schoepfer present the best results being considered very good, being followed by the models of Hradetzky and Garay that also have good results. In terms of commercial volume the results are ix similar to the of the commercial height, with a small difference, the model of Garay present considerable improvement, but the four mentioned models have very good results, and the models of Demaerschalk and Ormerod present tendency to overestimate for trees with smaller DAP < 45 cm. Treating of the volumes of the logs the model of Biging has larger stability in general. Among the segmented models, the Max & Bukhart model is superior to the other in all varied appraised followed for the model of Demaerschalk & Kozak. The model of Parresol et al. has very tendentious results except the estimate of volumes of logs between 25% and 35% and 35% and 45% of the total height. / Este trabalho foi realizado com os objetivos de verificar a acurácia das estimativas das equações geradas a partir dos modelos segmentados e não segmentados para estimar altura comercial, volume comercial e volumes parciais ao longo do fuste de Eucalyptus sp. Para isso foram cubadas rigorosamente 41 árvores de um talhão com área de 4,31 ha de um plantio homogêneo com idade de 16 anos, proveniente de propagação seminífera. O espaçamento inicial de plantio foi 3 x 3 m, sendo realizado dois desbastes seletivos aos 8,6 anos de idade. Para o conjunto total de dados foram ajustados seis modelos não segmentados e três modelos segmentados. Os modelos não segmentados testados foram os de Demaerschalk (1972), Ormerod (1973), Schoepfer (1966), Hradetzky (1976), Garay (1979) e Biging (1984). Os modelos segmentados testados foram os de Max & Bukhart (1976), Demaerschalk & Kozak (1977) e Parresol et al. (1987). A acurácia dos modelos foi avaliada através da análise gráfica dos resíduos, do coeficiente de determinação, do erro padrão da estimativa, do bias (B), da média das diferenças (MD) e do desviopadrão das diferenças (DPD). Com base nas estatísticas foi elaborado um ranking objetivando definir o modelo que propiciasse estimativas mais exatas das variáveis analisadas. Considerando a variável altura comercial, as equações referentes aos modelos não segmentados de Biging e Schoepfer são aqueles que apresentam maior acurácia, seguidas das equações referentes aos modelos de Hradetzky e vii Garay. Em relação ao volume comercial, os resultados são semelhantes aos encontrados para a altura comercial, com uma pequena diferença, isto é, a equação referente ao modelo não segmentado de Garay fornece estimativas mais acuradas que para a altura comercial, e os modelos de Demaerschalk e Ormerod apresentam tendência a superestimar o volume das árvores com DAP < 45 cm. Em se tratando dos volumes das toras, a equação obtida a partir do modelo de Biging apresenta melhores resultados ao longo do fuste. Dentre os modelos segmentados, a equação referente ao modelo de Max & Bukhart fornece estimativas mais acuradas em relação às equações dos outros modelos para todas variáveis avaliadas. A equação referente ao modelo de Parresol et al. apresenta estimativas tendenciosas para altura comercial e o volume comercial, e em relação ao volume das toras tem melhor resultado entre 25% e 35% da altura total

A aplicação da tecnologia LASER aerotransportado (ALS) para realização de inventários florestais, tem se apresentado como excelente alternativa para a área de planejamento florestal, principalmente pelos ótimos resultados em termos de precisão das estimativas, pelas facilidades de uso e demais produtos e benefícios advindos do sobrevôo com o LASER. A evolução e o menor custo das tecnologias GPS e Sistemas de Medição Inercial têm sido o principal fator de sucesso para a aplicação da tecnologia ALS. Vários trabalhos de análise da tecnologia LASER aerotransportado, em inventários florestais, alguns até mesmo em escalas comerciais (NAESSET, 2007), têm sido realizados principalmente na Europa e no Canadá. Os resultados têm sido muito atraentes, dentre os quais se destacam as estimativas de volume e de área basal que têm apresentado erros de no máximo 8,4%, dependendo das configurações da área amostrada. Sendo assim, este trabalho teve por objetivo analisar o uso da tecnologia ALS para a realização de inventários florestais em níveis de parcela e talhão em plantios clonais de Eucalyptus sp, no sul do estado da Bahia. Para tanto foram realizados levantamentos de campos que permitiram a estimação de parâmetros como área basal, altura de árvores média e das dominantes e volume, em parcelas circulares de treze metros de raio, nas quais foram coletados o diâmetro de todas as árvores e a altura de uma a cada sete árvores da parcela. A área sobrevoada para coleta dos dados LASER foram duas faixas de aproximadamente 2x20km. Os dados LASER foram processados para se obter os percentís das observações ALS nos níveis 10 (f_h10), 30 (f_h30), 50 (f_h50), 70 (f_h70) e 90 (f_h90), bem como a densidade de pontos nos respectivos percentís (f_p10, f_p30, f_p50, f_p70 e f_p90), e a altura média (f_havg) e o desvio padrão (f_hstd) desses pontos. Essas estatísticas foram utilizadas em modelos de regressão para estimar diâmetro médio, altura média, altura dominante, área basal e volume das parcelas amostradas. Para o volume, uma avaliação exploratória de diferentes combinações de variáveis permitiu a definição das relações mais promissoras e a utilização dessas variáveis mais promissoras no ajuste de modelos já consagrados na área de biometria e inventário florestal. As observações ALS que melhor ajustaram diâmetro médio foram f_h30 e f_p30, com R²=0,88 e RQEM%=0,0004; para altura média, f_h10 e f_h90 geraram boas estimativas, com R²=0,94 e RQEM%=0,0003, enquanto que para altura dominante, as melhores estimativas foram obtidas com f_h90, apresentando R²=0,96 e RQEM%=0,0003; e para área basal, os melhores ajustes usaram idade, f_h10 e f_havg, sendo R²=0,92 e RQEM%=0,0016. No caso de volume, os dois melhores modelos exploratórios apontam para o uso de idade, f_h30 e f_p90, em ambos os casos, e ambos com R² entre 0,94 e 0,95 e RQEM% entre 0,002 e 0,003. Já, dentre os modelos biométricos testados, os melhores foram os de Schumacher ajustado com idade e f_h90; Clutter ajustado com idade, f_havg e f_h70; e de Buckman ajustado com idade, f_havg e f_h10. / The application of the airborne laser scanning (ALS) technology for forest inventories execution, have been presented as an excellent alternative to the forest planning area, particularly by the excellent results in terms of accuracy of the estimates, by the facilities of usage and other products and benefits derived from LASER overflight. The technology evolution and lower cost for GPS and Inertial Measurement Units have been the main factor of the success for ALS technology application. Several studies of ALS technology analysis in forest inventories, some even in commercial scales (NAESSET, 2007), have been conducted mainly in Europe and Canada. The results have been very attractive, among which there are the volume and basal area estimates which have made errors of up to 8.4% depending on the settings of the sampled area. Thus, this study aimed to examine the use of the ALS technology for forest inventories executions at plot and stands levels in clonal Eucalyptus sp plantations in the south of Bahia state. Field surveys were conducted to provide the parameters estimation such as diameter, tree heights, basal area and volume in circular plots of thirteen-meter radius, which were the diameter of all trees and height of a the seven trees of each plot. The overflown areas for LASER data collection were two bands of approximately 2x20km. LASER data were processed to obtain the percentiles of the ALS observations in the following levels 10 (f_h10), 30 (f_h30), 50 (f_h50), 70 (f_h70) e 90 (f_h90), and 90 (f_h90) and the density of points in the respective percentiles (f_p10, f_p30, f_p50, f_p70 and f_p90), the average height of the points (f_havg) and the standard deviation (f_hstd). These statistics were used in the regression models to estimate mean diameter, mean height, dominant height, basal area and volume of the sampled plots. For the volume, an exploration of different combinations of the variables supported the definition of the most promising relations and most promising use of these variables in the set of models already established in the biometrics and forest inventory area.The ALS observations that better fit to the average diameter were f_h30 and f_p30, resulting in a R²=0.88 and RQEM%=0.0004; for the average height, f_h10 and f_h90 generate good estimates, having R²=0.94 and RQEM%=0. 0003, therefore for the dominant height, the best estimates were obtained with f_h90, showing R²=0.96 and RQEM%=0.0003. For the basal area, the best fit used age, f_h10 and f_havg, presenting a R²=0.92 and RQEM%=0.0016. In the volume case, the two best exploratory models point to the use of age, f_h30 and f_p90, both with R ² between 0.94 and 0.95 and RQEM% between 000.2 and 000.3. Among the biometric tested models, the best were Schumacher fitted by age and f_h90; Clutter fitted by age, f_havg and f_h70; Buckman fitted by age, f_havg and f_h10.

Time-since-fire data are used to describe wildfire disturbances, the major disturbance type in the Boreal forest, over a landscape. These data can be used to calculate various parameters about wildfire disturbances, such as size, shape and severity. Collecting time-since-fire data is expensive and time consuming; the ability to derive it from existing forest inventory data would result in availability of fire data over larger areas. The objective of this thesis was to explore the use of forest inventory information for the prediction of time-since-fire data in the mixedwood boreal forests of Saskatchewan. Regression models were used to predict time-since-fire from forest inventory variables for each inventory polygon with a stand age. Non-water polygons with no stand age value were assigned values from neighbouring polygons, after splitting long polygons that potentially crossed many historic fire boundaries. This procedure filled gaps that prevented polygons from being grouped together in latter analysis. The predicted time-since-fire ages were used to generate wildfire parameters such as age-class distributions and fire cycle. Three methods were examined to group forest inventory polygons together to predict fire event polygons: simple partitions, hierarchical clustering, and spatially constrained clustering. The predicted fire event polygons were used to generate polygon size distribution wildfire metrics. I found that there was a relationship between time-since-fire and forest inventory variables at this study site, although the relationship was not strong. As expected, the strongest relationship was between the age of trees in a stand as indicated by the inventory and the time-since-fire. This relationship was moderately improved by including tree species composition, harvest modification value, and the ages of the surrounding polygons. Assigning no-age polygons neighbouring values and grouping the forest inventory polygons improved the predicted time-since-fire results when compared spatially to the observed time-since-fire data. However, a satisfactory method of comparing polygon shapes was not found, and the map outputs were highly dependent on the grouping method and parameters used. Overall it was found that forest inventory data did not have sufficient detail and accuracy to be used to derive high quality time-since-fire information. / Forestry, Faculty of / Graduate

No description available.

Better understanding and prediction of tree growth is important because of the many ecosystem services provided by forests and the uncertainty surrounding how forests will respond to anthropogenic climate change. With the ultimate goal of improving models of forest dynamics, here we construct a statistical model that combines complementary data sources, tree-ring and forest inventory data. A Bayesian hierarchical model was used to gain inference on the effects of many factors on tree growth-individual tree size, climate, biophysical conditions, stand-level competitive environment, tree-level canopy status, and forest management treatments-using both diameter at breast height (dbh) and tree-ring data. The model consists of two multiple regression models, one each for the two data sources, linked via a constant of proportionality between coefficients that are found in parallel in the two regressions. This model was applied to a data set of similar to 130 increment cores and similar to 500 repeat measurements of dbh at a single site in the Jemez Mountains of north-central New Mexico, USA. The tree-ring data serve as the only source of information on how annual growth responds to climate variation, whereas both data types inform non-climatic effects on growth. Inferences from the model included positive effects on growth of seasonal precipitation, wetness index, and height ratio, and negative effects of dbh, seasonal temperature, southerly aspect and radiation, and plot basal area. Climatic effects inferred by the model were confirmed by a den-droclimatic analysis. Combining the two data sources substantially reduced uncertainty about non-climate fixed effects on radial increments. This demonstrates that forest inventory data measured on many trees, combined with tree-ring data developed for a small number of trees, can be used to quantify and parse multiple influences on absolute tree growth. We highlight the kinds of research questions that can be addressed by combining the high-resolution information on climate effects contained in tree rings with the rich tree-and stand-level information found in forest inventories, including projection of tree growth under future climate scenarios, carbon accounting, and investigation of management actions aimed at increasing forest resilience.

No description available.

Methods are needed to predict the spatial distribution pattern(s) of forest harvests to improve large-scale timber inventories through the incorporation of spatial distribution information. In this study, land cover type change detection methods were carried out using information from 1972 thru 2005 east-central Mississippi Landsat TM data to detect the spatial distribution of clearcut forest harvests. A random pattern was observed for clearcut harvests and this and other statistical data gathered in the study will be integrated into an existing forest inventory and transportation network database. The resulting harvested and forested area predictions generated by the database will assist with determining the sustainability and availability of forest resources for existing and future forest product mills and the creation of transportation networks needed to supply raw materials and distribute end products. Other implications include assessment of the quality and spatial components of wildlife habitat and a tool for forest certification programs.