Comparing land use registry and sample based inventory to estimate forest area in Podlaskie, Poland
نویسندگان
چکیده
منابع مشابه
Detecting and Modelling the Trend of Change in the Forest Land Use in Garasu Watershed Area Using Landscape Metrics
Detecting, predicting and quantifying the trends of landscape pattern change in the forests of Gharasu watershed area are necessary so as to assess the crises or prevent them. To this aim, the land use maps belonging to the years 1987, 2002 and 2018 were classified through the maximum likelihood method, and the forest area changes were estimated. Then, through the Geomod model and the forest ch...
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Air pollution is the major concern and challenge of Tehran urban areas’ management. Various rules, regulation, and laws had been codifiesd on this matter. In present research, the enforcement of laws and regulation concerning air pollution in the field of land-use and transportation is being addressed. The purpose of this article is to suggest an applicable (applied) framework embracing a descr...
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Recently airborne Light Detection And Ranging (LiDAR) has emerged as a highly accurate remote sensing modality to be used in operational scale forest inventories. Inventories conducted with the help of LiDAR are most often model-based, i.e. they use variables derived from LiDAR point clouds as the predictive variables that are to be calibrated using field plots. The measurement of the necessary...
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Introduction: Having accurate and up-to-date information on the status of land use and land cover change is a key point to protecting natural resources, sustainable agriculture management and urban development. Preparing the land cover and land use maps with traditional methods is usually time and cost consuming. Nowadays satellite imagery provides the possibility to prepare these maps in less ...
متن کاملUsing a land cover classification based on satellite imagery to improve the precision of forest inventory area estimates
Estimates of forest area were obtained for the states of Indiana, Iowa, Minnesota, and Missouri in the United States using stratified analyses and observations from forest inventory plots measured in federal fiscal year 1999. Strata were created by aggregating the land cover classes of the National Land Cover Data (NLCD), and strata weights were calculated as proportions of strata pixel counts....
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ژورنال
عنوان ژورنال: iForest - Biogeosciences and Forestry
سال: 2017
ISSN: 1971-7458
DOI: 10.3832/ifor2078-009