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Remote Sensing for Sustainable Forest Management - Chapter 7

Cơ cấu dự toán rừng . Thích hợp giải thích các dữ liệu cảm biến từ xa đòi hỏi một sự hiểu biết thấu đáo về những đặc điểm không gian và thời gian vốn có trong các loại thảm thực vật hiện nay và những thay đổi có liên quan phản ứng quang phổ. - R. M. Hoffer, 1978 THÔNG TIN VỀ CƠ CẤU RỪNG Đầu ra không gian và thống kê từ một thủ tục phân loại bao gồm một trong các sản phẩm thông tin chủ yếu đến tình trạng rừng có sẵn bằng cách cảm nhận từ xa, nói. | 7 Forest Structure Estimation The . proper interpretation of remote sensor data requires a thorough understanding of the temporal and spatial characteristics inherent in the vegetation cover types present and of the related changes in spectral response. R. M. Hoffer 1978 INFORMATION ON FOREST STRUCTURE The spatial and statistical output from a classification procedure comprises one of the major information products on forest condition available by remote sensing generally a second set of forestry information products is obtained by continuous variable estimation procedures. Classification produces information on the features that are contained in the list of classes imposed on the image data the result is typically a classification map. Continuous variable estimation produces information on features that vary continuously over the landscape depicted in imagery. The result may be a map or an image in which the tones correspond to the level or value of the feature of interest and vary over the extent of the map. The process can become more complex when continuously varying forest conditions are used in the process of classification. This is not usually a problem in conventional vegetation typing or species composition of stands the map is derived via the usual logic of classification Zsilinsky 1964 Avery 1968 . But typing and compiling species composition are only two of the structural attributes of forest stands that are of interest usually as part of a general forest inventory. Some of the other forest attributes of interest might include 1. Forest crown closure 2. Diameter at breast height dbh 3. Volume 4. Height 5. Stem density 6. Age and 7. Stage of development. Some of these attributes can be considered as forest conditions in either discrete classes or as continuously varying attributes to be estimated at some level of precision. 2001 CRC Press LLC As in species classifications aerial photography has been instrumental in developing maps of these forest .